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Stories about AI labs

Nvidia CEO Jensen Huang Gives OpenAI and Anthropic an Ultimatum
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Nvidia CEO Jensen Huang Gives OpenAI and Anthropic an Ultimatum

Sep 23, 2026· BeInCrypto
Fearing Frontier Labs, Longing Inference Markets
🔥 1 sources

Fearing Frontier Labs, Longing Inference Markets

Sep 9, 2026· Bankless
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NvidiaJensen HuangOpenAIAnthropicBitcoinChinaElon MuskPalantir
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Latest AI labs articles

Elon Musk Said Grok 4.7 Would Exceed Every Model. Did It Deliver?

Elon Musk Said Grok 4.7 Would Exceed Every Model. Did It Deliver?

SpaceXAI shipped Grok 4.7, and independent scores place it fourth among frontier AI labs.  Artificial Analysis, an independent benchmarking firm, scored the model at 46 on its Intelligence Index, 2 points above Grok 4.6. Claude Fable 5.1, GPT-6 Astra, and Claude Opus 5 all rank higher. Grok 4.7 Pushes SpaceXAI Into the Top Four AI The post Elon Musk Said Grok 4.7 Would Exceed Every Model. Did It Deliver? appeared first on BeInCrypto .

Elon Muskcritical
AI labsElon Musk
Sep 22, 2026 · byBeInCrypto
UN panel calls for guardrails on AI as current safeguards are ‘unraveling’

UN panel calls for guardrails on AI as current safeguards are ‘unraveling’

The United Nations-backed Independent International Scientific Panel on AI on Monday urged world leaders and tech companies to implement new safeguards on artificial intelligence, with the concern that existing safeguards are “unraveling.” U.N. Secretary General Antonio Gueterres welcomed the report and encouraged “external experts, including from frontier AI labs and AI safety institutes, to engage…

AI labsONU
Sep 22, 2026 · byThe Hill
Global organisations announce five-year goal to help more than 3 billion people use AI in their own language and voice

Global organisations announce five-year goal to help more than 3 billion people use AI in their own language and voice

New York: Organisations from across the global AI ecosystem today announced a joint commitment to help close one of AI’s most significant access gaps: providing safe, effective AI services in the languages people speak around the world. A group of 60 signatories are uniting behind a shared five-year goal: for an estimated 3.4 billion people who speak languages currently underrepresented in today’s AI models to be able to use AI tools in their own language and voice, African Media Agency (AMA) reported. Initial signatories reflect the range of expertise needed to make progress, from locally led research and implementation to AI model development, funding, and public policy. They include: frontier AI labs, government ministries and departments, philanthropies, developers, and implementing organisations from across the globe. The joint commitment invites others across the ecosystem to join the effort and contribute their own resources and expertise. Today, only a small percentage of the world’s roughly 7,000 languages are considered well-resourced enough to support strong AI capabilities. Many others - often described as "low-resource languages” - are underrepresented in the data, tools, and benchmarks used to build and test AI. As a result, people who speak them, including many in communities that are already less well served by today’s technologies, can be underserved by systems that are less accurate, less useful, or less able to understand how they communicate. The challenge goes beyond translating text: voice can be particularly important where typing or text-based interfaces are less practical or accessible, allowing people to interact with AI through natural speech. Poor language performance is not just an inconvenience. Dialect, slang, idioms, and cultural context can change meaning, with potentially serious consequences when accuracy matters most. Closing this gap could make AI-enabled information and services more accessible and useful to billions of people, across a range of sectors including health, education, agriculture, financial services, or public services. Participating organisations, each contributing their individual resources and expertise, will work together to accelerate progress across four areas: Building the open language layer: the shared, safe data infrastructure that every builder can draw on using open licenses Tracking progress honestly: assessments and benchmarks that measure real gains against the global goal Turning language data into working tools: models and applications usable by any AI builder, not just those with the most resources Reaching people safely: guided throughout by responsible practices that protect privacy, consent, and data sovereignty

AI labsNew York
Sep 21, 2026 · byMobile Business
Google Confirms Gemini Hacked 3 Real Companies in May Safety Test

Google Confirms Gemini Hacked 3 Real Companies in May Safety Test

Four frontier AI labs have now confirmed that their models reached the open internet and then accessed the systems of real companies. Google joined that list on Friday, roughly four months after its own incidents happened. Gemini accessed three real companies during a May evaluation. Notably, the model stopped in all three cases. Google’s Gemini The post Google Confirms Gemini Hacked 3 Real Companies in May Safety Test appeared first on BeInCrypto .

Geminicritical
AI labsGeminiGoogle
Sep 19, 2026 · byBeInCrypto
Dario Amodei and other AI leaders want to ‘Pace the Frontier’ but…how?

Dario Amodei and other AI leaders want to ‘Pace the Frontier’ but…how?

A week after an Anthropic researcher’s doomsday warning rattled the AI world, the company’s CEO Dario Amodei has outlined his plan to “pace the frontier” of AI development. The proposal leans on independent safety evaluators and coordination between AI labs in democratic countries, and it’s already picked up some industry support, along with some pointed pushback from Nvidia’s Jensen Huang.  Watch […]

Dario Amodeicritical
AI labsDario AmodeiJensen Huang
Sep 18, 2026 · byTechCrunch
The AI ‘Slowdown’ Is an Antitrust Mess

The AI ‘Slowdown’ Is an Antitrust Mess

By framing their efforts as a “slowdown” rather than an industry-wide push for better security standards, AI labs may have set themselves up for years of regulatory headaches.

AI labs
Sep 17, 2026 · byWIRED
Ex DeepMind Researcher Joins Growing Chorus Warning About Superintelligence Risk

Ex DeepMind Researcher Joins Growing Chorus Warning About Superintelligence Risk

A former Google DeepMind researcher who worked on AGI safety said artificial intelligence has the potential to kill everyone, adding his name to a wave of safety exits from leading AI labs. Bilal Chughtai left the company in July and went public with the warning this week. Two other researchers resigned recently. Why the AI The post Ex DeepMind Researcher Joins Growing Chorus Warning About Superintelligence Risk appeared first on BeInCrypto .

AI labsGoogle DeepMind
Sep 15, 2026 · byBeInCrypto
You Won't See AI Regulated Until It Kills Someone, Warns Bridgewater's CIO

You Won't See AI Regulated Until It Kills Someone, Warns Bridgewater's CIO

Bridgewater managing chief investment officer Greg Jensen says nothing will be done about artificial intelligence (AI) until it starts killing people. He wants the problem dealt with well before that point. His warning arrives during a week of escalating safety warnings from researchers at the largest AI labs. Bridgewater CIO Issues AI Warning and Points The post You Won't See AI Regulated Until It Kills Someone, Warns Bridgewater's CIO appeared first on BeInCrypto .

AI labs
Sep 11, 2026 · byBeInCrypto
AI firms debate exposing model tests to the internet

AI firms debate exposing model tests to the internet

AI labs' security breaches highlight the urgent need for robust containment strategies and regulatory standards to prevent real-world risks. The post AI firms debate exposing model tests to the internet appeared first on Crypto Briefing .

AI labs
Aug 25, 2026 · byCryptoBriefing