OpenAI’s ambitions to challenge industry giants like Google and Bing,  and startups like Perplexity the company has unveiled its latest innovation: SearchGPT. Designed to offer real-time, AI-powered search capabilities, SearchGPT aims to revolutionize the way users interact with search engines, providing timely and relevant answers sourced from the web.

SearchGPT introduces a user-friendly interface reminiscent of OpenAI’s popular chatbot platform, ChatGPT. Users simply type in their queries, and SearchGPT responds with comprehensive information, images, and links to relevant sources. This functionality is enhanced by the ability to ask follow-up questions and explore related searches through a convenient sidebar.

One standout feature is SearchGPT’s location awareness. OpenAI notes that the service can tailor search results based on the user’s general location, such as providing local restaurant recommendations or weather updates.

SearchGPT leverages the power of OpenAI’s latest models, including GPT-3.5, GPT-4, and GPT-4o. Initially launched as a prototype, it is currently accessible to a select group of users and publishers, with a broader rollout anticipated in the future. OpenAI has indicated plans to eventually integrate SearchGPT’s capabilities into ChatGPT, enhancing its functionality with real-time web information.

[In their blog post](https://openai.com/index/searchgpt-prototype/), OpenAI highlighted the promise of their new tool: "Finding answers on the web often demands considerable effort and several attempts to get accurate results. By integrating real-time web information with the conversational strengths of our models, we aim to make the search process quicker and more efficient.

The launch of SearchGPT comes at a time when AI-powered search tools are facing scrutiny over issues like plagiarism, inaccuracies, and the potential to cannibalize traffic to content creators. Notable incidents include Google’s AI suggesting unconventional pizza recipes and Perplexity’s AI allegedly copying content without proper attribution.

OpenAI has taken steps to address these concerns. SearchGPT is designed to prominently cite and link to publishers, providing clear, in-line, named attributions. OpenAI is collaborating with publishers to refine the search experience and offering tools for website owners to manage how their content appears in search results. Importantly, OpenAI clarifies that participation in SearchGPT does not equate to training OpenAI’s generative models with a site’s content.

SearchGPT focuses on search engines, and it's separate from the training of OpenAI's AI models, It can crawl websites on the internet that are not part of the training.

SearchGPT’s release as a prototype allows OpenAI to fine-tune the service based on user feedback and performance. This strategic approach provides a buffer against potential missteps, such as incorrect or misleading search results, by framing the service as an evolving project.

The development of SearchGPT has been closely watched, with reports from sources like The Information and Bloomberg highlighting OpenAI’s efforts to recruit top talent from competitors like Google. This move signals OpenAI’s intention to establish a strong foothold in the search market, leveraging its advanced AI capabilities to offer a compelling alternative to existing search engines.

OpenAI Unveils SearchGPT: an AI-Powered Search Engine

OpenAI and Broadcom are reportedly in discussions about developing a new AI chip. This collaboration addresses the current shortage of graphics processing units (GPUs) essential for running AI models. OpenAI, a leading AI research organization, has been exploring ways to develop AI chips independently, aiming to reduce its reliance on Nvidia and enhance its supply chain capabilities.

OpenAI's CEO, Sam Altman, has been proactive in this initiative, engaging with various stakeholders, including chipmakers, partners like Microsoft, government bodies, and financial backers. His efforts are geared towards boosting the supply of components and infrastructure required to support increasingly powerful AI models. "The limiting factor of AI is capacity: chip capacity, energy capacity, compute capacity. "OpenAI is determined to take an active role in development rather than waiting for others to lead the way, given their frontline position", said a source knowledgeable about OpenAI's strategy.

The discussions with Broadcom, a leading semiconductor manufacturer, highlight the potential role Broadcom could play in developing a new chip tailored for OpenAI. Broadcom has a strong track record in AI equipment sales and has previously assisted Google in developing its Tensor Processing Unit (TPU). The company's expertise in chip design and manufacturing is expected to complement OpenAI's AI research capabilities.

OpenAI has been actively hiring former Google employees involved in developing Google's TPU, indicating its commitment to building in-house semiconductor capabilities. Additionally, Altman has announced plans to raise funds to establish semiconductor manufacturing facilities, potentially partnering with industry giants like Intel, Taiwan Semiconductor Manufacturing Co, and Samsung Electronics.

The development of a new AI chip is anticipated to have significant implications for the AI industry. It promises faster and more efficient processing of AI models, thereby advancing the field of AI research and development. OpenAI's move to become more self-reliant aligns with its broader goal of pursuing artificial general intelligence (AGI) — AI that can outperform humans across a range of cognitive tasks.

Even with substantial backing from Microsoft, which has committed $13 billion, OpenAI would still require additional financial support or commercial partnerships to realize its ambitious plans. "It’s fair to say it requires massive sums of money to do this stuff," mentioned a source knowledgeable about the plans.

OpenAI's initiative also involves ongoing conversations with industry and government stakeholders to increase access to the necessary infrastructure. This includes collaborations with premier chip designers, fabricators, and data centre developers. The company stated that OpenAI is continuously engaging with industry and government stakeholders to enhance access to the infrastructure required, aiming to make the benefits of AI widely accessible.

OpenAI and Broadcom Collaborate to Develop Advanced AI Chip

OpenAI has introduced its latest small AI model, GPT-4o Mini, which promises to revolutionize the AI landscape by offering a more affordable and faster alternative to existing models. Released on Thursday, GPT-4o Mini is now available for developers, as well as for consumers through the ChatGPT web and mobile app. Enterprise users will gain access next week. This new model aims to make AI more accessible and cost-effective, aligning with OpenAI’s mission of democratizing AI technology.

#### Performance and Capabilities

GPT-4o Mini is designed to outperform industry-leading small AI models in reasoning tasks involving text and vision. It replaces GPT-3.5 Turbo as the smallest model offered by OpenAI and is positioned as a superior alternative to models like Google's Gemini 1.5 Flash and Anthropic’s Claude 3 Haiku. The new model achieves impressive scores of 82% on the Measuring Massive Multitask Language Understanding (MMLU) benchmark and 87% on the MGSM math reasoning test, surpassing its competitors in both metrics.

#### Cost Efficiency and Speed

Major advantages of GPT-4o Mini are its cost efficiency and it's 100x cheaper than OpenAI's GPT-3 Davinci model It is significantly more affordable to run than its predecessors, with a runtime cost of more than 60% lower than GPT-3.5 Turbo. For developers using OpenAI’s API, GPT-4o Mini is priced at 15 cents per million input tokens and 60 cents per million output tokens, making it an attractive option for high-volume, simple tasks. The model also boasts a context window of 128,000 tokens, equivalent to the length of a book, and has a knowledge cutoff of October 2023.

In terms of speed, GPT-4o Mini delivers a median output speed of 202 tokens per second, more than twice as fast as GPT-4o and GPT-3.5 Turbo. This rapid processing capability makes it ideal for speed-dependent use cases, including many consumer applications and agentic approaches to using large language models (LLMs).

#### Multimodal Support and Future Enhancements

Currently, GPT-4o Mini supports text and vision in the API, but Sam Altman confirms on X to release two models in a month Alpha and GA including voice capabilities. This multimodal functionality could enable more advanced virtual assistants that understand and respond to complex user needs, such as creating travel itinerary suggestions based on uploaded documents and images.

#### Enterprise Tools and Compliance

In addition to GPT-4o Mini, OpenAI announced new tools for enterprise customers. The Enterprise Compliance API is designed to help businesses in highly regulated industries, such as finance, healthcare, legal services, and government, comply with logging and audit requirements. This API will provide records of time-stamped interactions, including conversations, uploaded files, and workspace users, giving admins greater control and transparency over their ChatGPT Enterprise data.

Moreover, OpenAI is enhancing its granular control features for workspace GPTs, as well as custom versions of ChatGPT tailored for specific business use cases. Previously, admins could only fully allow or block GPT actions within their workspace. Now, they can create an approved list of domains that GPTs can interact with, providing more nuanced control over the AI's functionality.

OpenAI Unveils GPT-4o Mini: A Game-Changer for Developers and Enterprises

Microsoft has relinquished its board observer seat at OpenAI, a move echoed by Apple’s decision not to join the board. This comes at a time of increasing scrutiny from antitrust officials in Europe and the US.

#### [Details from the Financial Times](https://www.ft.com/content/ecfa69df-5d1c-4177-9b14-a3a73072db12)
Microsoft, which has invested $13 billion in OpenAI, announced that its withdrawal from the board would be "effective immediately." Apple, initially expected to take an observer role on OpenAI’s board as part of a deal to integrate ChatGPT into its devices, will also refrain from doing so, according to insider sources.

An OpenAI spokesperson highlighted a shift towards hosting regular meetings with strategic partners, including Microsoft, Apple, and investors like Thrive Capital and Khosla Ventures. This new approach, led by recently appointed CFO Sarah Friar, aims to keep key partners informed and engaged without formal board roles.

#### Antitrust Investigations
The backdrop to these changes includes rising antitrust concerns. The European Commission is exploring a potential investigation into the Microsoft-OpenAI partnership, while the US Federal Trade Commission is examining investments by tech giants in generative AI startups.

Microsoft’s deputy general counsel, Keith Dolliver, noted in a letter to OpenAI that the decision to leave the board follows significant progress made by OpenAI’s newly formed board. Dolliver expressed confidence in the company’s direction, making Microsoft's board role no longer "necessary."

An OpenAI spokesperson expressed gratitude for Microsoft's confidence and emphasized the continuation of their partnership.

These strategic shifts are not isolated events. UK regulators began scrutinizing the Microsoft-OpenAI partnership in December, shortly after the turbulent period that saw CEO Sam Altman’s temporary ousting and return. EU regulators are also investigating this partnership along with other AI-related deals by major tech companies.

Microsoft’s substantial investment in OpenAI has established it as the exclusive cloud partner for OpenAI, powering all its workloads across products, API services, and research. This collaboration has given Microsoft a competitive edge in the AI sector, enhancing its Bing search engine, Copilot, and other AI features across its product lineup.

Microsoft and Apple Step Back from OpenAI Board: Strategic Shifts Amid Antitrust Concerns

AI video company Runway is reportedly seeking $450 million in funding, potentially valuing the firm at $4 billion. Private equity firm General Atlantic is said to be leading the investment talks.

Runway's software enables users to generate new videos using text or image inputs, addressing the growing AI-powered video creation tools market. The company previously secured $141 million from investors including Google and Nvidia, with a valuation of $1.5 billion.

This potential investment highlights AI's increasing role in industry transformation and digital innovation. Runway's AI-driven approach to video production positions it as a significant player in the expanding field of artificial intelligence applications.

AI video startup Runway in talks with General Atlantic to raise funds at $4 billion valuation

A newly discovered technique, aptly named "Skeleton Key," has emerged as a significant threat, demonstrating the ability to bypass safety guardrails in prominent AI models such as Meta's Llama3, Google's Gemini Pro, and OpenAI's GPT-3.5. This method has serious implications, enabling users to extract harmful and forbidden information from these models.

Skeleton Key operates through a multi-step strategy designed to force AI models to ignore their built-in safety mechanisms. These guardrails are crucial for distinguishing between benign and malicious requests. By narrowing the gap between what the model can do and what it is willing to do, Skeleton Key manipulates the AI into providing restricted information. This includes instructions for creating rudimentary fire bombs, bioweapons, and other dangerous content.

[Mark Russinovich](https://www.microsoft.com/en-us/security/blog/2024/06/26/mitigating-skeleton-key-a-new-type-of-generative-ai-jailbreak-technique/), Microsoft's Azure Chief Technology Officer, highlighted the destructive potential of Skeleton Key in a recent blog post. Unlike other jailbreak techniques that solicit information indirectly or with encodings, Skeleton Key directly forces the model to divulge sensitive data through simple natural language prompts.

Microsoft's tests on several AI models exposed a widespread vulnerability to Skeleton Key. Models such as Meta's Llama3, Google Gemini Pro, OpenAI's GPT-3.5 Turbo, OpenAI's GPT-4, Mistral Large, Anthropic Claude 3 Opus, and Cohere Commander R Plus were all susceptible to this technique. Notably, OpenAI's GPT-4 demonstrated some resistance, yet the threat remains significant across the board.

Microsoft has implemented software updates to mitigate its impact on its AI models, including the Copilot AI Assistants. Despite these efforts, the existence of such a potent jailbreak technique underscores the ongoing challenges in developing robust safeguards for generative AI systems.

Russinovich advises companies building AI systems to enhance their models with additional guardrails. He emphasizes the importance of monitoring both inputs and outputs to detect abusive content and prevent the extraction of harmful information.

The Skeleton Key Technique: Jailbreaking AI models

Runway has once again pushed the boundaries of what's possible with its latest release: the Gen-3 Alpha text-to-video model. This groundbreaking technology represents a significant leap forward in AI-generated video, offering unprecedented levels of quality, control, and creative potential.

Runway has been at the forefront of text-to-video AI technology since its inception, with its previous models, Gen-1 and Gen-2. Gen-3 Alpha is significantly improved. Gen-3 Alpha delivers a level of accuracy, consistency, and motion.

Gen-3 Alpha excels at producing videos with lifelike movements, seamless transitions, and an impressive level of detail.

While previous generations were limited to 2-3 second clips, Gen-3 Alpha can generate initial video clips of 10-11 seconds, allowing for more complex and engaging content creation.

The new model offers more natural motion and improved realism, addressing earlier versions' limitations.

Users have access to a range of customization tools, allowing them to fine-tune generated videos to their exact specifications. This includes adjusting character features, modifying scene elements, and controlling camera angles and movements.

Currently, Gen-3 Alpha is available to a select group of Creative Partners Program members. To use the model, users will need a paid Runway account.

Runway Gen-3 Alpha is openly available

As generative AI makes its mark across various sectors, the companies manufacturing the necessary chips are reaping substantial rewards. Nvidia, in particular, has a commanding presence in the AI chip market, controlling an estimated 70% to 95% of the market share. Giants like Meta and Microsoft are investing heavily in Nvidia GPUs to maintain their competitive edge in the AI arena. However, this dominance isn't without its challenges. Many generative AI vendors, reliant on these chips, are seeking alternatives. This has led to a surge in interest from venture capitalists and AI vendors in finding new players to rival Nvidia's dominance.

One of the most promising new entrants is Etched, a startup founded just two years ago by Harvard dropouts Gavin Uberti and Chris Zhu, along with Robert Wachen and former Cypress Semiconductor CTO Mark Ross. Based in Cupertino, California, Etched focuses on developing specialized chips for AI models, specifically transformers. Transformers have become the foundation of many generative AI applications, including OpenAI's ChatGPT, Google's Gemini, and Anthropic's Claude.

Etched's flagship chip, Sohu, is an application-specific integrated circuit (ASIC) optimized for transformers. Using TSMC's 4nm process, Sohu is designed to outperform general-purpose GPUs in inferencing tasks while consuming less power. Uberti claims that Sohu is significantly faster and more cost-effective than Nvidia's latest GPUs, with a single Sohu server capable of replacing up to 160 H100 GPUs.

The efficiency of the Sohu chip stems from its streamlined design, which allocates more resources to computational power and less to memory. This is possible due to the predictable data flow in transformer models, allowing Etched to minimize unnecessary hardware components. Uberti likens the potential impact of specialized AI chips to the rise of ASICs in cryptocurrency mining, which dramatically reduces the demand for Nvidia GPUs in that field.

Despite Nvidia's substantial market lead and the challenges inherent in the semiconductor industry, Etched has attracted significant investor interest. The company recently secured $120 million in a Series A funding round, led by Primary Venture Partners and Positive Sum Ventures, with contributions from notable investors like Peter Thiel and GitHub CEO Thomas Dohmke. This brings Etched's total funding to $125.36 million.

Etched is not alone in this endeavour. Other startups, such as Cerebras Systems and Tenstorrent, are also developing innovative AI chips, aiming to capture a share of the expanding market. However, Etched's focus on transformer models sets it apart, and the founders believe their chip will be crucial for future AI applications, including video generation, robotics, and real-time voice interactions.

Etched plans to bring Sohu to market soon, with preliminary commitments already in place from several customers. The company is also launching the Sohu Developer Cloud, an interactive platform that will allow potential clients to test the chip's capabilities.

Although the path ahead is fraught with challenges, Etched's founders are optimistic. They acknowledge the high stakes but believe their specialized approach and rapid development will give them an advantage. As Uberti aptly notes, the future of AI technology depends on scalable infrastructure, and Etched aims to be at the forefront of this transformation.

Etched's Sohu Chip: A New Player in the AI Hardware Market

The AI industry is buzzing with the latest release from Anthropic: the Claude 3.5 Sonnet. Positioned as a significant upgrade from its predecessor, Claude 3 Opus, Claude 3.5 Sonnet boasts remarkable improvements in speed, cost efficiency, and intelligence. This model not only marks a substantial milestone for Anthropic but also sets a new benchmark in the rapidly evolving AI landscape.

#### Speed and Cost Efficiency
Claude 3.5 Sonnet is twice as fast and five times cheaper to operate than Claude 3 Opus, a fact that underscores its technical superiority. In a competitive move following OpenAI's recent release of GPT-4o, Anthropic has made Claude 3.5 Sonnet accessible for free on both the web and iOS platforms, with additional availability to developers through the Anthropic API.

#### Advancements in Intelligence and Functionality
Described by Anthropic product manager Michael Gerstenhaber as “the most intelligent model in the world,” Claude 3.5 Sonnet is designed to excel in understanding nuance, humor, and complex instructions. It delivers high-quality, relatable content and demonstrates proficiency in multiple languages, including German, Italian, Dutch, and Russian, beyond the capabilities of Claude 3.

While Claude 3.5 Sonnet cannot search the internet or generate image files like some competitors, its intelligence is evident through its performance on various benchmarks and qualitative feedback from early users. This feedback highlights the model’s intelligence and humor, likely resulting from Anthropic’s efforts to instill a genuine curiosity and engagement with users' views and values.

#### Artifacts and Collaborative Capabilities
One of the standout features of Claude 3.5 Sonnet is the introduction of “artifacts.” This feature allows users to draft documents, generate code, or design websites in a separate panel that updates in real-time based on user input. This functionality hints at Anthropic’s vision of transforming AI from mere chatbots to collaborative tools, akin to software like Notion or Google Docs.

Moreover, Claude 3.5 Sonnet is being positioned as an essential tool for the workplace. The model supports complex, context-sensitive tasks, making it ideal for customer support and multistep workflows. Anthropic is also planning to enhance this model with web search capabilities and memory functions, which would enable Claude to remember user preferences and interaction history, further increasing its utility in professional environments.

#### Safety and Ethical Considerations
Safety has been a paramount concern for Anthropic. Claude 3.5 Sonnet underwent rigorous safety testing by the UK’s AI Safety Institute before its release, with findings shared with the US AI Safety Institute. The model is classified at ‘AI Safety Level 2,’ indicating it does not pose a risk of catastrophic harm, though it does exhibit increased capabilities in risk-relevant areas compared to previous models.

Anthropic has emphasized that they do not train their generative models on user-submitted data without explicit permission, ensuring a high standard of privacy. This approach is part of their broader strategy to ensure responsible scaling and deployment of AI technologies.

#### Market Position and Future Developments
Anthropic is not resting on its laurels. Following the release of Claude 3.5 Sonnet, they plan to introduce two additional models, Claude 3.5 Haiku and Claude 3.5 Opus, later this year. This continuous innovation aims to enhance the balance between intelligence, speed, and cost every few months, maintaining their competitive edge in the AI gold rush.

The market for AI chatbots is fiercely competitive, with major players like OpenAI, Google, Amazon, and Adobe all vying for dominance. Each company is striving to integrate AI technology seamlessly into both personal and professional environments, building loyal user bases to secure long-term relevance.

Claude 3.5 Sonnet represents a significant leap forward for Anthropic, not just in terms of technical prowess but also in shaping the future of AI as collaborative and safe tools. As the industry continues to evolve, the impact of such advancements will be profound, influencing how we interact with AI in our daily lives and workplaces.

Anthropic's Claude 3.5 Sonnet: A Leap Forward in AI Technology

Ilya Sutskever is a famous AI researcher and Co-founder of OpenAI, a few months ago in OpenAI drama Ilya voted to fire Sam Altman, Sam was returned in a few days and Ilya disappeared for months, [On May 15](https://x.com/ilyasut/status/1790517455628198322) Ilya announced that he is leaving OpenAI company

Today [Ilya announced on X](https://x.com/ilyasut/status/1803472978753303014) that he has started a new company called Safe Superintelligence Ince (SSI), aiming to create a safe, powerful artificial intelligence system within a research organization.

SSI is based in Palo Alto and it has offices in Tel Aviv. Ilya wants to compete with AI startups and continue his AI research passion without distraction. "world’s first straight-shot SSI lab, with one goal and one product: a safe superintelligence." [SSI posted on X](https://x.com/ssi/status/1803472825476587910)

Ilya Sutskever started a new AI company called SSI

Ilya Sutskever started a new AI company called

Apple is reportedly venturing into the realm of home robotics. Following the recent discontinuation of its much-anticipated electric vehicle project, the company is now exploring personal robots that could revolutionize the way we interact with technology at home. According to [Bloomberg](https://www.bloomberg.com/news/articles/2024-04-03/apple-explores-home-robots-after-abandoning-car-efforts), Apple is in the preliminary stages of developing mobile robots designed to follow users around their homes, potentially marking a significant shift in the company’s product strategy.

Apple’s pivot from its decade-long electric car endeavor, known as Project Titan, to robotics signifies a notable strategic redirection. Despite substantial investments and years of development, the electric car project was officially shelved earlier this year. This shift aligns with Apple’s ongoing quest to diversify its revenue streams and mitigate the slowdown in iPhone sales, particularly as consumers hold onto their devices for longer periods.

Reports suggest that Apple is not merely interested in creating functional robots but aims to integrate advanced artificial intelligence to enhance user interaction and home automation. One of the envisioned products includes a mobile robot capable of autonomous navigation within a home environment. This robot could serve as a personal assistant, enhancing day-to-day activities by following users, assisting with chores, and potentially even participating in video calls.

Additionally, Apple is developing a more advanced tabletop home device featuring a robotic display. This smart display, designed to mimic human head movements, could provide a more interactive and dynamic experience during video calls. The device could also include features like zooming in on specific individuals during a call, thereby enhancing the overall communication experience. However, this project has seen its share of internal debate, with executives divided over its feasibility and market potential.

Apple’s exploration of home robotics comes at a time when the company faces significant challenges. The first half of 2024 has seen declining iPhone sales in critical markets like China, a hefty fine from the European Union, and ongoing antitrust litigation in the United States. These setbacks have fueled criticism that Apple is lagging behind competitors such as OpenAI, Microsoft, and Google in the AI and robotics arena.

By shifting focus to home robotics, Apple aims to regain its innovative edge. The development of AI-driven home devices could position Apple as a leader in a burgeoning market segment. The company’s experience in integrating hardware and software seamlessly provides a solid foundation for creating sophisticated home robots that could surpass existing products in functionality and user experience.

Apple’s interest in robotics dates back to 2019, when the project was spearheaded by Doug Field, who has since moved to Ford as an executive in the electric vehicle division. Initially, Apple’s robotics efforts encompassed a broad range of concepts, including quiet indoor drones. However, following Field’s departure, the focus narrowed to domestic products, specifically robots capable of performing household chores and facilitating video communication.

Despite these ambitious plans, the realization of Apple’s home robots remains uncertain. The challenges of engineering and integrating advanced AI into consumer-friendly products are significant. Nonetheless, Apple’s continued investment in this area indicates a long-term commitment to exploring the potential of home robotics.

Apple is not alone in its quest to bring robotics into the home. Competitors like Amazon have already launched products like the Astro robot, which can perform basic tasks such as delivering snacks and patrolling the house. Additionally, products like the Roomba autonomous vacuum cleaner have set a precedent for consumer acceptance of robotic helpers.

The key to Apple’s potential success in this market lies in its ability to leverage its robust ecosystem of devices and services. By integrating home robots with existing products like the iPhone, iPad, and Apple Watch, Apple could create a seamless and highly functional smart home environment.

Apple has been secretly building home robots, report says

Mistral, a French AI startup, is now offering customization options for its AI models, including a paid version, to help developers and businesses tailor the models for specific tasks. 

Mistral has launched a software development SDK called [Mistral-Finetune](https://github.com/mistralai/mistral-finetune), which enables fine-tuning on workstations, servers, and small datacenter nodes. According to Mistral, fine-tuning a model like Mistral 7B on a dataset like UltraChat, which comprises 1.4 million dialogs, takes approximately half an hour using eight H100 GPUs.

For a more streamlined experience, Mistral provides fine-tuning services through its API, currently compatible with Mistral Small and Mistral 7B, with plans to support additional models soon. Furthermore, Mistral is introducing custom training services, allowing select customers to tailor any Mistral model to their specific needs using their own data. This approach enables businesses to create highly specialized models for their unique domains.

As Mistral seeks to expand its revenue amidst increasing competition in the generative AI sector, it is reportedly seeking a $600 million investment at a $6 billion valuation from investors like DST, General Catalyst, and Lightspeed Venture Partners. Despite releasing multiple models, including a code-generating model, and introducing paid APIs since its first generative model in September 2023, Mistral has not disclosed its user base or revenue figures.

Mistral Unveils AI Model Fine-Tuning and SDK for Developers and Enterprises

The company has recently issued a critical advisory for users of its $700 AI Pin. Customers are being urged to discontinue using the Charge Case accessory that came with the device due to potential fire safety risks. This announcement was made via email to customers, with [The Verge](https://www.theverge.com/2024/6/5/24172377/humane-ai-pin-battery-case-issue-warning) sharing the details.

Humane stated that this precautionary measure follows a report of a charging issue. A thorough investigation revealed a quality problem with the battery cell supplied by a third-party vendor, leading Humane to cease working with this supplier. The issue appears to be confined to the Charge Case, and other accessories like the AI Pin itself, Battery Boosters, and Charge Pad remain unaffected. As a temporary solution, Humane is seeking a new battery vendor.

Despite the seriousness of this issue, Humane is not issuing a recall or providing refunds. Instead, customers will receive two months of the Humane subscription for free as compensation. The AI Pin, launched in November, was designed to be a standalone AI-driven device, featuring a magnetic battery system that attaches to clothing, a laser ink display for projecting information onto the user's hand, and a built-in camera. However, the device has been met with significant criticism for its poor performance.

Initially unveiled at CES 2024 in January, the Humane AI Pin was touted as a multifunctional wearable device intended to act as a "second brain and assistant," capable of performing web searches, making calls, sending texts, capturing photos, and taking notes. However, since its release in April, the AI Pin has struggled to meet expectations, garnering predominantly negative reviews.

The recent charging case issue adds to the growing list of challenges for Humane. Reports suggest the company might even be seeking a buyer, indicating deeper underlying problems. The advisory to stop using the Charge Case is just the latest setback for a product that has already faced considerable scrutiny.

This situation underscores the complexities and difficulties of hardware development, especially for new entrants in the market. With nascent categories like AI-driven wearables, the challenges are even more pronounced. The future for Humane remains uncertain, and it will be intriguing to see how the company navigates these turbulent times and what strategic decisions it will make moving forward.

Humane Tells Users to Stop Using Ai Pin Case Over Fire Risk

The Raspberry Pi 5 has taken a significant leap forward in the world of AI computing with the release of its new AI Kit. This $70 extension kit, powered by Hailo's Hailo-8L M.2 accelerator, enables local inferencing capabilities, making it an attractive option for tech hobbyists and industrial companies alike.

The AI Kit utilizes the HAT+ extension card, adding an M.2 slot connected to the Raspberry Pi through a single-lane PCIe 3.0 interface running at 8Gbps. This setup allows for seamless integration with the Raspberry Pi OS, which automatically detects the Hailo module. The latest version of the OS supports neural network inferencing, enabling applications like object detection, semantic segmentation, and facial landmarking.

Raspberry Pi's partnership with Hailo brings a powerful AI chip to the table, capable of running AI workloads on edge devices. The Hailo-8L module offers 13 tera-operations per second (TOPS), a notable achievement considering its low power consumption of under 2W.

The AI Kit opens up a world of possibilities for Raspberry Pi users. From chatbots to camera applications, the potential uses are vast. With the ability to run AI-based applications natively, users can explore object detection, pose estimation, and more. The Hailo chip can also be used for non-camera applications, leaving the door open for innovative uses.

Raspberry Pi's AI Kit is part of a larger trend in the tech industry, as companies like Microsoft, AMD, and Nvidia race to integrate AI capabilities into portable devices. With the AI Kit, Raspberry Pi is poised to take a significant share of the market, offering a cost-effective solution for AI computing.

Raspberry Pi partnered with Hailo for its AI kit

A coalition of current and former employees from leading AI companies, including OpenAI, Google DeepMind, and Anthropic, has united to advocate for greater transparency and protection from retaliation for those who voice concerns about the significant risks associated with artificial intelligence (AI). This group, comprising 13 signatories, highlights the critical need for oversight and the establishment of robust whistleblower protections in the industry.

[The public letter](https://righttowarn.ai/), titled "A Right to Warn about Advanced Artificial Intelligence," underscores the potential dangers posed by AI technologies. These include the entrenchment of existing inequalities, the spread of misinformation, and the possible loss of control over autonomous AI systems, which could lead to catastrophic consequences. The signatories, which include prominent figures such as Yoshua Bengio and Geoffrey Hinton, known as the "Godfathers of AI," emphasize that these risks are acknowledged by both AI companies and governments worldwide.

The employees argue that the current environment in AI firms stifles important discussions about these risks due to stringent confidentiality agreements. These agreements prevent employees from sharing their concerns with anyone outside the company, limiting accountability and transparency. Jacob Hilton, a former OpenAI employee, commended the company's recent move to release past employees from non-disparagement agreements but stressed that fears of other forms of retaliation, such as being fired or sued, still persist.

Daniel Kokotajlo, another former OpenAI employee, echoed these sentiments, stating his belief that companies are not adequately prepared for the potential impacts of artificial general intelligence (AGI). He pointed out that the rush to develop AGI without sufficient safeguards or transparency could have dire consequences. Kokotajlo, who resigned from OpenAI partly to avoid signing a non-disparagement agreement, expressed his concerns about the industry's "move fast and break things" mentality.

The letter outlines four key principles that the signatories believe AI companies should adopt to address these issues

- AI companies should not enforce agreements that prevent employees from criticizing the company regarding risk-related concerns, nor should they retaliate by hindering any vested economic benefits.
- Companies should establish a verifiably anonymous process for current and former employees to raise risk-related concerns to the company’s board, regulators, or an independent organization with relevant expertise.
- AI companies should foster a culture that allows employees to openly raise risk-related concerns with the public, the company's board, regulators, or appropriate independent organizations, ensuring that trade secrets and intellectual property are protected.
- Companies should refrain from retaliating against employees who share risk-related confidential information publicly after exhausting internal processes. Until adequate anonymous reporting mechanisms are in place, employees should retain the freedom to report their concerns to the public.

In response to these calls for action, an OpenAI spokesperson stated that the company is proud of its track record in developing safe and capable AI systems. They emphasized the importance of rigorous debate and ongoing engagement with governments, civil society, and global communities. Despite these assurances, the employees remain steadfast in their demand for more substantial protections and transparency.

OpenAI Employees Advocate for Protections to Address ‘Serious Risks’ of AI

Hitachi Ltd. and Microsoft Corp. have announced a multibillion-dollar partnership to harness the power of generative AI and drive social innovation. This three-year alliance will integrate Microsoft's cutting-edge cloud and AI technologies into Hitachi's Lumada solutions, aiming to deliver transformative outcomes for businesses and society.

The partnership will propel growth in the Lumada business, with a planned revenue of 2.65 trillion yen (18.9 billion USD) in FY2024, and improve productivity for Hitachi's 270,000 employees. Hitachi will embed Microsoft cloud, Azure Open AI Service, Dynamics 365, Copilot for Microsoft 365, and GitHub Copilot into its Lumada solutions, providing innovative solutions for industries such as energy, mobility, and manufacturing. This integration will enhance operational efficiency, decision-making, and productivity, ultimately contributing to a more sustainable future.

To further accelerate social innovation, Hitachi will train over 50,000 "GenAI Professionals" with advanced AI skills, incorporating Microsoft's training programs. The partnership will also focus on joint projects that address pressing business needs, including cloud services, security, and sustainability. Notably, the companies will collaborate on a data center project in Europe to reduce environmental impact.

Through this strategic alliance, Hitachi and Microsoft aim to revolutionize industries and society by harnessing the power of generative AI. By combining their expertise, they will develop innovative digital solutions that drive growth, improve productivity, and contribute to a more sustainable future. As the partnership unfolds, we can expect to see exciting developments and innovations that will shape the future of various industries and society as a whole.

Hitachi, Microsoft Plan for Multibillion-Dollar AI Partnership

At the recent [Computex conference in Taipei](https://www.youtube.com/live/pKXDVsWZmUU?si=6HbrBVp0WcZ8d-Oi), Nvidia CEO Jensen Huang introduced the Rubin platform, marking a significant step in the company's rapid innovation cycle. Named after the esteemed astronomer Vera Rubin, this new AI platform follows closely on the heels of the Blackwell chip unveiled just a few months ago.

Rubin is designed to leverage HBM4, the latest evolution in high-bandwidth memory, and will feature a new CPU named Versa. The platform underscores Nvidia's commitment to accelerating its release schedule, with plans to launch a new family of AI chips annually—a notable increase from its previous two-year cycle. The Rubin family will include advanced graphics (GPU), central processors (CPU), and networking chips, with the Rubin Ultra set to follow in 2026.

Nvidia's aggressive expansion reflects its strategic push to diversify its customer base amid surging AI demand. The company's processors have become pivotal in the AI arms race among tech giants, contributing to billions in revenue. Huang emphasized that Nvidia is extending its reach to support a wide array of industries, including shipbuilding, pharmaceuticals, and government agencies, as they increasingly adopt AI technologies.

"We are seeing computation inflation," Huang remarked, highlighting the growing computational demands across sectors.

Nvidia's dominance in the AI chip market, where it holds an 80% share, positions it as a key player in the future of AI development. The introduction of Rubin not only demonstrates Nvidia's technological prowess but also its strategic vision to remain at the forefront of AI innovation.

Nvidia Unveils Next-Generation AI Platform: Rubin

Fable Studio has introduced Showrunner, an innovative streaming platform powered by artificial intelligence to generate shows. This cutting-edge service enables users to create and engage with animated content in entirely new ways.

Showrunner's AI technology embodies Fable Studio's vision to make content creation accessible to everyone. Utilizing machine learning algorithms, the platform can script, voice, and animate episodes based on user input. This pioneering method enables users to play a central role in the creation process, merging the roles of creator and consumer.

Showrunner offers an intuitive and engaging user experience. Users can provide prompts ranging from a few words to extensive descriptions, and the AI will generate a complete episode. The platform invites users to refine the AI-generated content by editing dialogue, shots, and scene transitions, offering unmatched customization options.

Showrunner distinguishes itself from traditional streaming services with its community-driven model. Users can create content for existing shows, and the best contributions will be featured in the official catalogue. Creators receive compensation and revenue sharing if their content is selected by a streamer. This model encourages user-generated content and promotes a sense of community and collaboration.

Showrunner's initial lineup features a variety of genres and styles, highlighting the platform's AI capabilities. Notable shows include Exit Valley, Ikiru Shinu, Pixels, and The Prize. As the platform grows, we can anticipate even more innovative content.

Fable Studio's CEO, Edward Saatchi, envisions Showrunner as the "Netflix of AI," where users can create new episodes of their favourite shows or allow the AI to generate content autonomously. This ambitious vision has the potential to disrupt traditional streaming services, providing a fresh and exciting experience for audiences globally.

Showrunner marks a significant milestone in the evolution of streaming services. By leveraging AI, Fable Studio has developed a platform that empowers users, promotes community engagement, and expands the horizons of content creation. As Showrunner continues to develop, it is evident that the future of entertainment has arrived.

How Showrunner by Fable Studio is Redefining Content Creation with AI

Oklo has signed a non-binding letter of intent with Wyoming Hyperscale for a [10-year power purchase agreement](https://oilprice.com/Alternative-Energy/Nuclear-Power/Sam-Altman-Backed-Nuclear-Startup-Signs-Major-Data-Center-Contract.html). This collaboration highlights Oklo's dedication to delivering clean, reliable, and cost-effective energy solutions tailored to the needs of data centers.

Backed by renowned entrepreneur Sam Altman, Oklo announced last week its commitment to supply 100MW of nuclear power to Wyoming Hyperscale. The news caused a surge in Oklo's shares, rising over 30% on the NYSE. According to Data Center Dynamics, the agreement sets a foundation for the power purchase arrangement, marking a significant step towards sustainable energy in the tech sector. This announcement follows Oklo’s recent agreement to provide up to 500MW of power to Equinix, another major player in the data center arena.

Wyoming Hyperscale is developing a state-of-the-art data center campus spread over 58 acres. Jacob DeWitte, co-founder and CEO of Oklo, emphasized the importance of clean energy in the era of artificial intelligence, stating, “As AI adoption grows, Oklo is steadfast in our mission to offer clean, reliable, and affordable energy solutions for our data center partners.”

Trenton Thornock, founder of Wyoming Hyperscale, echoed this sentiment, saying, “Our aim is to build data centers with the least environmental impact. Partnering with Oklo aligns perfectly with our vision for sustainable and efficient operations, setting a new benchmark for the future of accelerated computing.”

Earlier this month, Oklo achieved shareholder approval for its NYSE listing, reinforcing its mission to provide clean, reliable, and affordable energy globally through advanced fast reactor technology. Supported by investors like Jeff Bezos, Bill Gates, and Peter Thiel, Oklo stands at the forefront of the nuclear fusion revolution. Sam Altman, an early investor, believes Oklo is best positioned to bring advanced fission energy solutions to market, enhancing the future of clean energy.

Last month, the "electrification" trade, essential for powering the increasing number of energy-intensive data centers, began to gain significant momentum. This trend has notably outperformed both the broader AI and Data-Center Equipment sectors in recent months. Sam Altman, who partnered with Exowatt to focus on clean energy for AI, highlighted the critical need for both intelligence and energy in the modern world.

In the analysis "The Next AI Trade," various investment opportunities for powering up America were discussed. Given Oklo's innovative approach and strategic partnerships, it is poised to become a significant player in this arena, likely attracting a wave of positive ratings in the near future.

Nuclear Startup Backed by Sam Altman Signs Major Data Center Contract

OpenAI is embarking on a new chapter in its journey toward artificial general intelligence (AGI). The company has started training its next major AI model, which promises to elevate AI capabilities significantly beyond what GPT-4 offers. This ambitious project aims to push the boundaries of AI technology, taking OpenAI a step closer to achieving AGI.

To oversee the development and ensure the safety of this new model, OpenAI has established a dedicated Safety and Security Committee. This committee is led by CEO Sam Altman, Chairman Bret Taylor, and board members Adam D'Angelo and Nicole Seligman, along with technical and policy experts from within the company. Their immediate task is to evaluate and enhance OpenAI's safety protocols over the next 90 days, after which they will present their findings and recommendations to the board.

OpenAI acknowledges the critical nature of this moment in AI development and has called for a robust debate on the subject. "While we are proud to build and release models that are industry-leading in both capabilities and safety, we welcome a rigorous debate at this important moment," the company stated. This proactive approach comes in the wake of the departures of key figures like co-founder Ilya Sutskever and Jan Leike, who previously led OpenAI's long-term safety efforts.

The forthcoming model, anticipated to be significantly larger than GPT-4, has been likened to a "giant whale" compared to GPT-4's "Orca" by Microsoft CTO Kevin Scott. Although specific details about the new model remain under wraps, it is clear that it aims to bring substantial advancements in AI capabilities.

Interestingly, while OpenAI is accelerating its AI development, there seems to be a slight shift in its communication regarding its ultimate goals. Previously, CEO Sam Altman had expressed an aim to build a "superintelligence" far surpassing human intelligence. However, Anna Makanju, OpenAI’s vice-president of global affairs, recently clarified that the mission is to build AGI capable of performing cognitive tasks akin to those humans can accomplish today. "Our mission is to build AGI; I would not say our mission is to build superintelligence," Makanju stated. She emphasized that superintelligence, while a subject of study, is not the company's primary mission.

OpenAI's spokesperson, Liz Bourgeois, reinforced this position, stating that the mission is to create AGI that benefits humanity. She noted that while superintelligence is studied, it is generally viewed as more advanced than AGI. This clarification aims to dispel any perceived conflict in the company's goals.

As OpenAI moves forward, it is also addressing the need for responsible AI development, especially in light of recent staff departures and increasing competition from tech giants like Google's Gemini and Elon Musk's xAI. The new safety and security committee, led by Altman and other board directors, is a critical component of this effort, ensuring that the next-generation AI model is developed with the highest standards of safety and security in mind.

The training of this new model involves an extensive process where the AI learns from vast amounts of data, improving its performance through rigorous validation and testing phases. Given the complexity and scale of this endeavour, it may take several months before the new model is ready for deployment in products or applications.

OpenAI's pursuit of AI advancement, while prioritizing safety and ethics, represents a significant milestone in the development of artificial intelligence. By tackling these challenges head-on, the company continues to be a key player in shaping the future of AI.

OpenAI is training a new model and ensuring safety

former OpenAI board member Helen Toner has shed light on the dramatic events leading to the ousting and subsequent reinstatement of CEO Sam Altman. The unexpected dismissal of Altman on November 17th, 2023, stunned the tech world, particularly given his role in overseeing the explosive launch of ChatGPT.

Toner, speaking candidly on [The TED AI Show podcast](https://x.com/hlntnr/status/1795535927718420703), revealed that the board was completely in the dark about the release of ChatGPT in November 2022, only learning about it via Twitter. This revelation highlighted a significant communication breakdown between the board and Altman. Initially introduced quietly as a conversational AI model, ChatGPT soon captivated public attention with its impressive ability to generate human-like text, sparking the current AI boom.

The board’s lack of prior knowledge about such a significant launch was just one example of the growing mistrust towards Altman. Toner explained that Altman failed to disclose his ownership stake in the OpenAI Startup Fund and repeatedly provided inaccurate information regarding the company’s safety processes. This opaque leadership style made it nearly impossible for the board to evaluate and manage the company's safety protocols effectively.

Toner also recounted a personal clash with Altman, stating that he tried to oust her from the board by spreading false information after she published a research paper he found unfavourable. This incident, coupled with testimonies from two executives who described a toxic work environment and accused Altman of psychological abuse and manipulation, pushed the board to take decisive action.

The board, fearing Altman’s potential backlash, decided to act covertly to bring in a new CEO. They believed that any hint of their intentions would lead Altman to undermine their efforts. Toner emphasized that the decision to fire Altman was driven by a culmination of trust issues and his consistent lack of transparency.

Despite the board's decision, the aftermath of Altman's firing was chaotic. The company cycled through interim CEOs, and a significant portion of the workforce, alongside OpenAI’s primary investor, Microsoft, rallied for Altman's return. Toner noted that employees were essentially given a stark choice: support Altman’s reinstatement or risk the company's collapse. This ultimatum, combined with fears of retaliation, swayed many to back Altman.

Bret Taylor, OpenAI’s current board chief, expressed disappointment over Toner’s continued discussions on these matters. He clarified that an independent review found the previous board’s decision to fire Altman was not related to concerns about product safety, development pace, finances, or communications with stakeholders. Taylor highlighted that over 95% of employees advocated for Altman’s reinstatement, underscoring his influence within the company.

In the podcast, Toner reflected on years of accumulated mistrust, stating that the board reached a point where they could no longer rely on Altman’s word. Her insights provide a rare glimpse into the internal dynamics of one of the world’s leading AI companies during a critical juncture in its history. The boardroom drama at OpenAI underscores the complex interplay between innovation, leadership, and governance in the fast-evolving tech landscape.

Ex-OpenAI board member explains why they fired Sam Altman

In a groundbreaking study by the Booth School of Business at the University of Chicago, OpenAI's GPT-4 has proven itself to be a more effective financial analyst than its human counterparts. This development could significantly disrupt the financial services industry, which is rapidly integrating generative AI technologies into its operations.

The study highlights GPT-4's exceptional ability to analyze financial statements and forecast earnings. Utilizing "chain-of-thought" prompts, researchers guided GPT-4 through the process of identifying trends, calculating financial ratios, and making predictions. Remarkably, GPT-4 achieved an accuracy rate of 60% in predicting earnings changes, significantly higher than the 50-57% accuracy range of human analysts.

A particularly notable aspect of GPT-4's performance is its ability to scrutinize standardized, anonymized financial documents—like balance sheets and income statements—without needing extra narrative or industry-specific details. Even with this limited information, GPT-4 demonstrated remarkable skill in identifying financial patterns and business concepts, indicating that large language models may become crucial tools in financial decision-making.

The study also compared GPT-4's performance to advanced machine learning models, finding that GPT-4 either matched or exceeded their capabilities in certain areas of financial statement analysis. This finding underscores the potential of large language models to revolutionize financial analytics by leveraging their extensive knowledge base and pattern recognition abilities.

Moreover, the application of GPT-4's financial insights to trading strategies yielded notably profitable results. The study reported that trading strategies based on GPT-4's forecasts generated significant alphas and Sharpe ratios, outperforming the stock market. This success indicates that GPT-4 can not only predict financial outcomes more accurately but also enhance investment strategies effectively.

the research from the University of Chicago demonstrates that GPT-4's advanced analytical capabilities and predictive accuracy make it a formidable tool in the realm of financial analysis. As AI continues to evolve, its role in financial services is poised to expand, offering unprecedented insights and improving decision-making processes across the industry.

GPT-4 outperforms Humans at Financial Forecasting

In today's bustling world, isolating a single voice in a crowd can be a significant challenge, particularly for those who are hard of hearing. Traditional noise-cancelling headphones, while effective in reducing background noise, fall short in completely eliminating it, making conversations in noisy environments difficult. Researchers at the University of Washington (UW) have devised an innovative solution to this problem by integrating artificial intelligence (AI) into off-the-shelf noise-cancelling headphones.

The groundbreaking system, known as Target Speech Hearing (TSH), uses AI to single out a speaker's voice based on the wearer's visual focus. The technology employs two microphones attached to the headphones and a machine-learning algorithm to identify and isolate the desired speaker's voice. By simply looking at the person they wish to hear and pressing a button for a few seconds, users can train the system to recognize and amplify that speaker's voice while filtering out background noise.

Professor Shyam Gollakota from UW's Paul G. Allen School of Computer Science and Engineering explains, "In this project, we develop AI to modify the auditory perception of anyone wearing headphones, given their preferences. With our devices, you can now hear a single speaker clearly even in a noisy environment with lots of other people talking."

The TSH system processes the speaker's voice in real time with an impressive end-to-end latency of just 18.24 milliseconds, ensuring there is virtually no delay between the user’s visual focus and auditory isolation. This latency is significantly shorter than the duration of an eye blink, which ranges from 300 to 400 milliseconds.

#### The Mechanics Behind TSH

The TSH system's operation begins with the user looking at the speaker they want to isolate. The headphones then capture sound waves from the speaker’s voice through the dual microphones. The AI software analyzes these sound waves to learn the speaker’s vocal patterns, enabling the system to isolate and amplify the speaker's voice even if they move around. The system also continuously improves its accuracy by learning from real-time audio data.

In practical tests, the TSH system demonstrated remarkable effectiveness. Users reported that the clarity of the speaker’s voice was nearly twice as high when processed by the TSH system compared to when it wasn't. The system’s AI capability ensures that once it locks onto a speaker’s voice, the user can move or look in different directions without losing audio clarity.

#### Future Prospects and Accessibility

Currently, the TSH system can only isolate one target speaker at a time and works best when there are no other loud voices coming from the same direction. However, the researchers are optimistic about enhancing the system to handle multiple voices and integrating it into earbuds and hearing aids. [The code for the TSH system is publicly available on GitHub](https://github.com/vb000/LookOnceToHear), allowing other developers to build upon this innovative technology.



The potential of this technology reaches far beyond mere convenience, offering substantial benefits for individuals with hearing impairments. By allowing users to concentrate on a single speaker in noisy settings, TSH can significantly improve the quality of life for those with partial hearing loss.

Cutting-Edge AI-Powered Headphones: Isolating Voices in Noisy Environments

Elon Musk's AI startup, xAI, has successfully raised $6 billion in funding, signifying a major achievement for the emerging company. This substantial financial boost aims to launch xAI’s first products, upgrade its infrastructure, and support continuous research and development of advanced technologies.

xAI, launched last summer, has already introduced Grok, a unique version of OpenAI’s ChatGPT. Currently available via X (formerly Twitter) to X Premium subscribers, Grok represents xAI’s first major product offering. The substantial funding round, involving investors like Andreessen Horowitz, Sequoia Capital, and Saudi Arabian Prince Al Waleed bin Talal, propels xAI into the upper echelon of AI startups, now valued at $18 billion pre-investment.

Developing AI technology is a costly endeavor, partly due to the high price of necessary hardware. For instance, Nvidia’s upcoming Blackwell B200 AI graphics cards are priced between $30,000 and $40,000 each. Reports indicate that xAI plans to acquire 100,000 of Nvidia's H100 chips to power a supercomputer aimed at enhancing Grok. Musk has outlined a goal to have this advanced data center operational by fall 2025.

The AI industry has seen massive investments from tech giants like Google, Apple, Amazon, Microsoft, and Meta, all vying to dominate the field. Microsoft’s multi-billion dollar partnership with OpenAI highlights the fierce competition. Meanwhile, OpenAI’s CEO, Sam Altman, is ambitiously seeking additional funding to overhaul the global chip industry. Musk, despite being a co-founder of OpenAI, has filed a lawsuit against the company, accusing it of deviating from its original mission to serve humanity.

Musk’s ventures in AI extend beyond xAI. He has expressed a desire to develop AI and robotics products independently of Tesla unless he gains more control over the projects. This comes as Tesla shareholders prepare to vote on Musk’s $56 billion pay package at the company’s annual meeting on June 13th.

The rapid development and high valuation of xAI underscore the burgeoning interest and fierce competition in the AI sector. Generative AI, which can create human-like text, images, video, and audio, requires significant computational power and energy to develop. This funding will enable xAI to advance its technologies and strengthen its position against competitors like OpenAI, Google’s Gemini, Meta’s Llama, and Amazon-backed Anthropic.

On Monday, Musk reiterated xAI’s ambitious mission on X, emphasizing the company’s dedication to understanding the universe through rigorous and unbiased scientific inquiry. This vision reflects Musk's broader goal of leveraging AI to push the boundaries of technological innovation while navigating the complex landscape of ethical and legal challenges in the AI field.

Elon Musk's xAI Raises $6 Billion to Accelerate AI Development

Microsoft's LinkedIn already boasts AI-driven tools for both users and recruiters, but the company seems poised to significantly enhance its AI capabilities. According to a report from Business Insider, Microsoft plans to allocate more AI computing resources to a new initiative called "LinkedIn Copilot." The term "Copilot" has been used by Microsoft to denote AI chatbots integrated into various services like Microsoft 365 and GitHub.

#### Expanding LinkedIn's AI Tools

The report, based on an internal document, indicates that LinkedIn will join other services such as GitHub, Security, and Azure in utilizing Copilot. While specific details about LinkedIn Copilot are not yet clear, the planned increase in AI resources suggests a substantial expansion of AI functionalities on the platform. A source familiar with the plans mentioned that LinkedIn might soon incorporate more advanced AI tools.

#### Current AI Features on LinkedIn

In February, LinkedIn rolled out several AI-powered features designed to enhance user experience and networking. One of the notable additions is an AI tool that helps users craft messages to initiate conversations. This feature is currently available to Premium subscribers, allowing them to draft messages using AI that references information from both their profile and the recipient's profile.

For recruiters, LinkedIn introduced AI-powered tools to simplify the hiring process. These tools enable recruiters to search for ideal candidates using natural language queries, making the process more intuitive and efficient. Additionally, marketing professionals can leverage AI to swiftly create ad campaigns, streamlining their workflow.

Traditionally, recruiters have relied on filters, keywords, and search techniques to sift through LinkedIn’s extensive database. With over 950 million members, the platform predominantly serves free users but generates revenue by offering advanced data access and search functionalities to recruiters and sales professionals.

As Microsoft allocates more AI resources to LinkedIn Copilot, users can anticipate even more sophisticated AI-driven tools aimed at enhancing networking, recruiting, and marketing efforts on the platform. This move underscores Microsoft's commitment to integrating AI across its services, promising a more intelligent and efficient LinkedIn experience.

Microsoft plans to bring Copilot to LinkedIn users

Elon Musk has announced that his AI startup, xAI, will require an astounding 100,000 specialized semiconductors to develop and operate the next iteration of its conversational AI, Grok. To enhance the chatbot's intelligence, Musk has informed investors of plans to link these chips into a single, colossal supercomputer, which he refers to as a “gigafactory of compute.”

In a presentation to investors in May, Musk stated his intention to have the supercomputer operational by fall 2025 and has taken personal responsibility for its timely completion. Once finished, this interconnected network of Nvidia’s flagship H100 graphics processing units will be at least four times larger than the most substantial GPU clusters in existence today, such as those constructed by Meta Platforms for training its AI models.

This ambitious project highlights Musk's dedication to advancing AI technology through xAI, setting a new benchmark in the industry. By creating a supercomputer of unprecedented scale, Musk aims to position xAI at the forefront of AI innovation, challenging current leaders like OpenAI and Google in the rapidly evolving AI sector.

 Elon Musk's xAI to Build World's Largest Supercomputer

Elon Musk has once again emphasized his predictions about the transformative effects of artificial intelligence (AI) on employment, suggesting that the advent of AI will necessitate a “universal high income” as traditional jobs become obsolete. Speaking at the VivaTech 2024 event in Paris, Musk described a future where AI and robots will handle all production and services, making most jobs redundant.

Musk has long voiced his concerns about AI, describing it as his “biggest fear.” He envisions a future where AI surpasses human abilities in every field, relegating humans to a secondary role. During his talk at VivaTech, he questioned the future significance of human life if machines can perform all tasks better: “The question will really be one of meaning – if the computer and robots can do everything better than you, does your life have meaning? I do think there’s perhaps still a role for humans in this – in that we may give AI meaning.”

In Musk’s envisioned future, work would become optional, with individuals working more as a hobby rather than out of necessity. AI would take over essential production and service tasks, requiring a “universal high income” to maintain economic stability. However, Musk did not elaborate on how this concept differs from universal basic income (UBI), which provides everyone with a set amount of money regardless of their income.

The rapid advancements in AI have prompted discussions among regulators, companies, and consumers about its responsible use and the potential disruption of various industries. Despite these advancements, AI adoption in workplaces has been slower than some anticipated. A recent MIT report found that many jobs identified as vulnerable to AI were not economically viable for automation at the time. Experts believe that roles requiring high emotional intelligence and human interaction, such as mental health professionals, creatives, and teachers, are less likely to be replaced by AI.

Musk is actively involved in the AI industry through his company, xAI, which has secured $6 billion in funding from major investors like Lightspeed Venture Partners, Andreessen Horowitz, Sequoia Capital, and Tribe Capital, giving the company a valuation of $18 billion. Although Musk acknowledges that xAI is currently behind industry leaders like OpenAI and Google DeepMind, he believes it could catch up by the end of 2024. He predicts that AI will reach human-level cognition by 2025, potentially positioning xAI at the forefront of this technological revolution.

However, not all of Musk's AI-related predictions have come to pass. In 2019, he predicted that Tesla would have a million fully autonomous robotaxis on the road by 2020, a goal that remains unachieved. More recently, he forecasted the launch of Tesla’s first robotaxi by August 2024.

During his VivaTech keynote, Musk also addressed societal issues, urging parents to limit their children’s exposure to social media, which he claims is controlled by “dopamine-maximizing AI.” He cited the "Culture Book Series" by Ian Banks as a realistic depiction of a future dominated by advanced technology, describing it as the best vision of a society governed by AI.

As we approach this potential AI-dominated future, Musk’s vision prompts important questions about the role of humans in a world where machines excel in all tasks. Whether his predictions will come true remains uncertain, but the conversation about AI’s impact on work, society, and human purpose is more crucial than ever.

Elon Musk's Caution: AI to Outperform Humans

Google's newly launched "AI Overview" feature, designed to provide concise summaries and key information at the top of search results, has come under fire for delivering inaccurate, misleading, and potentially harmful information to users. Here are the critical aspects of the issue:

![Google's AI Overview Feature Faces Criticism Over Inaccuracies
](https://firebasestorage.googleapis.com/v0/b/saks-test.appspot.com/o/uploads%2F3pSAcKD69pYhIdjDD4hooYQZIx13%2F20240525102112271.jpeg?alt=media&token=2613ff84-b783-45f1-86f8-4692dc75b809)

#### Inaccurate and Absurd Responses
The AI Overview feature, intended to streamline information access, has been criticized for presenting false and often absurd information. Notable errors include:

- Incorrectly identifying former President Barack Obama as a Muslim.
- Falsely claiming that no African countries begin with the letter 'K'.
- Suggesting the addition of Elmer's glue to pizza sauce.

These inaccuracies appear to stem from satirical or misinformative sources rather than credible ones, leading to significant user confusion.

#### Google's Response
In response to the backlash, Google has acknowledged the errors and taken steps to remove the problematic AI Overview results. The company insists that it conducts extensive testing and is using these incidents to enhance its AI systems. Despite these efforts, the mishaps have eroded user trust in Google's search engine, a platform many rely on for accurate information.

#### Google's other mistakes in AI
This is not Google's first encounter with AI-related issues. The company has previously faced criticism over:

- The Bard chatbot, which provided incorrect information.
- The Gemini image generator, known for producing historically inaccurate depictions.

These recurring problems underscore the broader challenges Google faces in safely integrating experimental AI technology into its core products.

Industry experts emphasize that while it is crucial for Google to remain competitive in the fast-evolving AI landscape, this drive for innovation must be tempered with a commitment to reliability. Maintaining the search engine’s trusted reputation is essential. The recent inaccuracies in the AI Overview feature highlight the inevitable growing pains that come with integrating cutting-edge technology.

Google's AI Overview Feature Faces Criticism Over Inaccuracies

Meta Revolutionizes AI Assistants with Premium Upgrade
In a bold move to reshape the AI assistant landscape, Meta is introducing a cutting-edge, paid version of its AI assistant, packed with advanced features and priority access. This strategic move follows the lead of industry giants like Google, Microsoft, OpenAI, and Anthropic, which have already successfully launched paid chatbots with premium capabilities.

### Advanced Features and Capabilities
The paid tier of Meta's AI assistant promises to unleash a new wave of innovative features, including effortless language translation, expert guidance on diverse topics, and generation of high-quality, personalized creative content. Additionally, users can expect enhanced language processing, tailored learning experiences, and seamless integration with third-party apps, making the paid assistant an attractive upgrade for those seeking a more comprehensive AI experience.

### AI Agents for Task Automation
In addition to the paid consumer version, Meta is developing AI agents that can autonomously complete tasks without human intervention. These agents will excel at complex tasks, including coding tools, further expanding the capabilities of Meta's AI assistant. This move signals a significant shift towards personalized AI experiences and premium AI services, as users increasingly demand more advanced and automated AI solutions.

### Leveraging Resources and Data
By leveraging its vast resources, user data, and behavioral insights, Meta is poised to disrupt the status quo in the AI assistant market and establish new industry benchmarks. The company's ability to integrate Google and Bing search results into its AI assistant further enhances user accessibility and diversifies information retrieval within Meta's ecosystem. This move will likely give Meta a competitive edge in the AI assistant market, as users seek more comprehensive and integrated AI solutions.

### Competitive Pricing for Premium AI Experiences
Meta Platforms is considering a competitive pricing model for its premium AI assistant, with a potential $20-per-month subscription similar to its competitors. This pricing strategy will likely appeal to users seeking advanced AI features and capabilities, while the free version will remain available for those with more basic AI needs. As the AI assistant market continues to evolve, it will be fascinating to see how Meta's paid tier stacks up against the competition.


Meta's launch of a premium AI assistant with advanced features and capabilities marks a significant milestone in the AI landscape. As users increasingly demand more personalized and automated AI experiences, Meta's paid tier is likely to attract a loyal following. With its vast resources, user data, and behavioral insights, Meta is well-positioned to revolutionize the AI assistant market and establish new industry standards. As the company continues to innovate and expand its AI capabilities, it will be exciting to see how its premium AI assistant evolves and improves over time.

Meta Developing Premium AI Assistant with Advanced Features

OpenAI, a leading AI company, has made a historic deal with News Corp, a major media corporation, to access its vast news archives. This multi-year agreement gives OpenAI access to current and archived articles from top news outlets like The Wall Street Journal, The New York Post, and The Daily Telegraph, among others.

The deal, worth over $250 million in the next five years, will provide OpenAI with valuable content and training data for its AI models. In return, News Corp will receive cash and credits to use OpenAI's technology.

OpenAI's latest collaboration with News Corp represents a significant expansion of its media partnerships, building on earlier agreements with The Associated Press and the Financial Times. However, the company faces legal challenges from other outlets, including The New York Times and The Intercept, which have raised concerns about copyright protection and the responsible use of AI in content generation.

Through this groundbreaking partnership, News Corp will infuse OpenAI with its journalistic expertise, ensuring that AI-driven news meets the highest standards of quality and integrity. This reciprocal collaboration will drive innovation in the news industry, unlocking new possibilities for AI-powered storytelling and information sharing.

The deal also encompasses a diverse range of News Corp's subsidiaries, including Barron's, MarketWatch, and The Australian, among others. This comprehensive partnership represents a major breakthrough in the fusion of AI and journalism, paving the way for exciting new developments in the media landscape.


OpenAI Licenses News Corp Content, Including WSJ & NY Post

Humane, a company that made headlines with its AI Pin wearable device, is now facing the tough decision of potentially selling its business just a month after the device's launch.

### The Genesis of Humane AI
Humane, backed by a substantial $230 million investment, set out to revolutionize the wearable tech market with the AI Pin. Promising cutting-edge AI capabilities in a sleek and compact design, the device generated significant buzz prior to its release. However, the reality of consumer reception has not matched the initial hype.

### The Hurdles Faced by the AI Pin
Critics and users alike have pointed out several key issues with the AI Pin that have hindered its success. From slow response times to poor battery life and high costs, the device has struggled to meet the expectations set by its ambitious marketing campaign. These challenges have cast doubt on the market demand for standalone AI gadgets like the AI Pin and have prompted Humane to consider alternative paths forward.

### The Decision to Explore a Sale
Humane is now reportedly seeking a buyer for its business. With a target sale price ranging from $750 million to $1 billion, the company is looking to recoup its investment and potentially pivot its focus in response to market feedback.

The Rise and Fall of Humane AI: Exploring the Potential Sale of the AI Pin

In the world of artificial intelligence, a remarkable development has taken place. Cognition Labs has created an AI called Devin, which possesses the prowess of a software engineer. Equipped with the ability to code, debug, build and deploy applications, Devin is revolutionizing the field. Let's delve into the exciting capabilities of this AI and explore the implications it holds for the future.

Devin has proven its mettle by surpassing other AI tools in coding challenges on GitHub. In fact, Devin achieved an impressive accuracy rate of 13.86% in resolving coding issues, while GPT-4, a renowned AI, managed a mere 1.74%. This remarkable performance demonstrates Devin's ability to tackle coding problems with precision and efficiency.

One of the striking aspects of Devin's functionality is its resemblance to a human software engineer. Devin employs a unique feedback loop, which involves googling for answers, copying code, writing code, running tests, and fixing errors. This iterative process allows Devin to continuously improve its coding skills and produce high-quality solutions.

Cognition Labs aims to take Devin's capabilities to the next level. They envision Devin having the capability to solve problems in parallel, similar to Google's AlphaCoder. This advancement would enable Devin to generate multiple possible solutions rapidly, optimizing efficiency and productivity.

As Devin showcases its remarkable abilities, concerns have emerged regarding the potential displacement of human software engineers and programmers. However, while the development of Devin is indeed well-funded by major Silicon Valley investors, it is important to recognize that fully replacing programmers is still a distant prospect. The complexities of software development and the need for human ingenuity in tackling intricate problems remain significant hurdles.

Devin, the AI software engineer developed by Cognition Labs, has captivated the world with its exceptional coding skills and problem-solving capabilities. While the idea of AI replacing human software engineers may spark concern, the reality is that the field of software development still requires the unique abilities and insights that humans bring to the table. As Devin continues to advance, it is an exciting time for the intersection of artificial intelligence and software engineering, offering great potential for innovation and collaboration between humans and machines.

Meet Devin The AI Software Engineer That's Raising the Bar

Google has decided to restrict its Gemini AI chatbot from answering election-related questions in countries where elections are taking place. This means that users will not be able to obtain information about candidates, political parties, or other political elements from the chatbot.

To prevent the dissemination of misinformation, Google has implemented measures like digital watermarking and content labels for AI-generated content. However, this decision to restrict Gemini's capabilities has raised questions about the overall reliability and accuracy of Google's AI tools.

Daniel Susser, an associate professor of information science at Cornell University, argues that if Google's AI tools are not dependable enough to provide accurate information about democratic elections, their trustworthiness in other areas, such as health or financial information, should also be scrutinized. This raises doubts about Google's long-term plans to incorporate generative AI across its services, including search.

Gemini has faced criticism in the past for generating inaccurate images related to historical situations, particularly depicting people of color in inappropriate roles. Google responded to the controversy by temporarily suspending some of Gemini's capabilities and committing to addressing the issue.

The incident involving Gemini not only highlights the challenges of AI-generated misinformation but also underscores the scrutiny faced by major AI companies. Google, in particular, has faced accusations from Republican lawmakers, alleging that its AI tools promote a leftist ideology. This has led to calls for Google's CEO, Sundar Pichai, to testify before Congress regarding Gemini.

In response to public backlash and concerns, AI companies like OpenAI and Google are increasingly willing to block their chatbots from engaging with sensitive questions that may lead to negative public perceptions. However, determining which questions to block can be a contentious issue, as evidenced by the recent report indicating that Gemini would not answer questions about Palestine but would respond to similar queries about Israel

Google Limits AI Chatbot Gemini's Ability to Answer Questions About 2024 Elections

Recruiting AI talent is proving to be a challenging task for many companies. The founder and CEO of Perplexity, Aravind Srinivas, shared a story that exemplifies the difficulty of hiring individuals with generative AI skills. Srinivas attempted to hire a senior researcher from Meta, but the candidate responded by saying, "Come back to me when you have 10,000 H100 GPUs." H100 GPUs are highly sought-after graphic processing units used by tech giants like Meta, OpenAI, and Google to power their AI chatbots. Acquiring such a large number of GPUs would be incredibly expensive and time-consuming.

Perplexity, which utilizes GPT-4 to power its Q&A engine, has faced challenges in finding the necessary talent to develop a large language model. Limited funds and a shortage of chips have contributed to this issue. Srinivas explained that people are reluctant to leave their current positions when they have peers to work with and access to established experimentation stacks and existing models. To attract talent, companies like Perplexity must offer exceptional incentives and immediate access to significant computational resources.

Even if smaller companies manage to obtain Nvidia's chips, they will still struggle to keep up with the rapid pace of AI development. This could make it even more difficult to secure AI talent in the future. Srinivas expressed concern that by the time companies acquire the necessary resources, the talented individuals they wish to hire will have already moved on to the next generation of models.

The demand for AI skills, particularly in areas like machine learning and data engineering, has skyrocketed since the launch of OpenAI's ChatGPT. To attract generative AI talent, companies such as Amazon, Netflix, and Meta have offered salaries as high as $900,000 per year. Even non-tech companies in sectors like education, healthcare, and law are seeking employees with AI knowledge.

While Big Tech companies may employ individuals capable of creating AI models that produce desirable outputs, Srinivas believes that this skill alone is insufficient to make AI tools truly useful. Post-training expertise, which involves addressing issues that arise when deploying AI products, is crucial. Srinivas suggests that employees from industries like crypto or e-commerce can quickly learn these skills, such as reducing factual inaccuracies in chatbots.

By focusing on post-training skills, companies like Perplexity can differentiate themselves in a market dominated by Big Tech. Srinivas believes that this approach offers a significant advantage in creating value, and his company is committed to developing expertise in this area.

Hiring an AI Researcher can be challenging and expensive right now - CEO says

Elon Musk’s artificial intelligence startup xAI will open-source Grok, a chatbot rival to OpenAI’s ChatGPT, this week, on Monday Musk tweeted on X (Twitter).

He also replied that "OpenAI is a lie".  It was founded to be a non-profit and open-source AI company, but now it's a closed-source and profitable company.

Musk unveiled Grok in early November last year and said Grok can access X in real-time and will be available for X's premium users

This is the second time Elon is making things open-source. In March 2023 Musk also open-sourced the majority of the Twitter codebase.

Musk had recently sued OpenAI and its Co-founders including CEO Sam Altman, alleging they broke the AI company’s founding agreement to develop artificial intelligence for the benefit of humanity instead of profit.

Elon Musk said xAI will Open-Source Grok

OpenAI has responded to Elon Musk's lawsuit by revealing emails suggesting that Musk not only supported the company's shift to a for-profit model but also desired his own company, Tesla, to be the "cash cow" for OpenAI.

In a blog post, OpenAI stated that Musk, one of its founders, "wanted the company to merge with Tesla or wanted full control." This comes as a counter to Musk's lawsuit, claiming that OpenAI has compromised its nonprofit mission by teaming up with Microsoft. OpenAI alleged in its post that Musk only sued the company when it started making significant progress toward its mission without his involvement.

In an effort to provide context, OpenAI shared emails from Musk, indicating his support for the shift to a for-profit entity. A 2016 email exchange showed Musk agreeing with the notion that OpenAI should be "less open" in the future.

The emails seem to contradict Musk's later statements, such as his February 2023 claim that OpenAI had become a "maximum profit company effectively controlled by Microsoft," which he said was not his intention. However, the emails suggest that Musk endorsed the move to a for-profit model as long as he retained control.

According to OpenAI's post, Musk sought majority equity, board control, and the CEO position, which conflicted with the company's mission of avoiding absolute control by any individual. An email from January 31, 2018, revealed Musk endorsing the idea of making Tesla a "cash cow" for OpenAI, emphasizing its potential over other large companies like Apple or Amazon.

Musk left OpenAI in late February 2018 and announced plans to develop an AI competitor within Tesla, known as xAI Corp. In a December 2018 email included in the blog post, Musk expressed skepticism about OpenAI's chances of relevance without significant changes in execution and resources, stating that the startup needed "billions per year immediately."

Despite the ongoing criticism from Musk, OpenAI announced its intention to have all of Musk's claims dismissed and expressed sadness at the turn of events with someone they once deeply admired.

OpenAI says Elon Musk wanted full control of the company

Elon Musk sued OpenAI and its co-founders including Sam Altman as he believed that OpenAI is not open anymore, it's now a profitable company and it's a violation of the company's agreement.

OpenAI is the most popular AI company right now. Most of its AI tech isn't freely available or open to the public, to use it you have to pay

Elon Musk, one of the founders of OpenAI, left the board in 2018. Originally, OpenAI was created to provide AI for the benefit of humanity as a non-profit organization.

However, things took a turn in 2019. OpenAI underwent a restructuring and now has for-profit entities, with Microsoft holding the majority ownership after a significant investment. The current valuation of OpenAI stands at a hefty $86 billion.

In a recent lawsuit, Musk claims that OpenAI has turned into a closed-source subsidiary of Microsoft, deviating from its original mission. Musk had previously declined a stake in the for-profit entities.

Even though Microsoft isn't a direct subsidiary, it effectively controls OpenAI now. This is concerning because OpenAI's models, such as GPT-4 and Sora, could potentially represent advanced artificial general intelligence.

While the lawsuit might bring some transparency, its legal success seems uncertain. Its objective is to address the situation and ensure that OpenAI remains true to its original vision of being genuinely open.

On X Musk said if OpenAI changes its name to ClosedAI, then he'll drop the lawsuit.

Artificial intelligence