❗️OpenAI and Anthropic just found common ground… and it’s against Meta and xAI.

The Trump administration has until August 1 to define what counts as a “frontier AI model.”

Under the proposed framework, companies developing these powerful models would have to submit them for government evaluation at least 30 days before release.

OpenAI and Anthropic are pushing for the rules to apply equally to everyone. Their argument is simple: if they have to wait 30 days before launching a new model, competitors like Meta and xAI shouldn’t be able to ship similar systems immediately without the same oversight.

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🤖 OpenAI is giving away GPT-5.6 to 100,000 researchers for free.

OpenAI has launched ChatGPT for Academic Researchers, a new program that gives scientists, mathematicians, and engineers free access to its frontier AI models.

The rollout starts with 10,000 researchers and will expand to 100,000 by 2027.

Participants get access to the GPT-5.6 family, business-grade privacy (their data isn’t used to train models by default), support for up to 4 collaborators, plus training and hands-on guidance.

The goal? Help researchers spend less time on paperwork and more time making discoveries, from writing grant proposals to testing new ideas.

Source.

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🗣Sam Altman explains the recent Hugging Face security incident involving an unreleased OpenAI model (potentially GPT-6):

"this is the first security incident i've felt very viscerally and i've been surprised more people don't feel it that way too".

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“I mean there could be, yeah,” Open AI CEO Sam Altman responds when asked if more companies could’ve been hacked by OpenAI.

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Seedance 2.5 will be released tomorrow. This update marks a new stage for the AI video generation tool.

Currently, Seedance 2.0 is regarded as the most advanced version available. The upcoming 2.5 release is expected to take the lead in the field and introduce support for creating longer video clips.

The launch will end the anticipation around this significant software update.

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🤖 This humanoid robot can feel you before you touch it

Italian startup Generative Bionics has unveiled Gene.01, a humanoid robot covered in sensor skin that can detect touch, temperature, proximity, and force. That means it can sense people before physical contact and adjust its movements in real time.

Instead of learning from videos, Gene.01 learns the way humans often do: through physical guidance. Simply holding its hand and showing it the right motion teaches the robot how much grip strength to use, tackling one of the biggest challenges in humanoid robotics.

Built on research from the Italian Institute of Technology published in Nature Machine Intelligence, the team went from concept to a working humanoid in just six months.

Gene.01 is designed as a flexible platform, allowing developers to swap AI models, outer shells, and even limbs to create robots for different industries and tasks.

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🚀 Mark Zuckerberg fired another shot in the AI war

What if the biggest threat to AI isn’t the technology… but the speed limit? That’s essentially Mark Zuckerberg’s argument.

The Meta CEO says the U.S. should accelerate AI development, not slow it down. He warns that forcing frontier AI models to sit through a 30-day government review before release could leave American companies racing with the handbrake on.

But that’s not all.

Zuckerberg also defended open-weight AI, arguing that powerful models shouldn’t be locked away by a handful of companies. In his view, giving more developers access leads to faster innovation and keeps the AI race competitive.

That puts Meta on a collision course with companies like OpenAI and Anthropic, which support stricter oversight for the most advanced models because of safety and national security concerns.

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❗️The team that built AlphaFold is no longer together.

Google DeepMind has quietly broken up the original AlphaFold team as it shifts its scientific focus toward Gemini-powered AI.

Over the past year, many of the researchers behind AlphaFold have been reassigned to projects in genomics, enzyme design, nuclear fusion, and Gemini. Others have joined Isomorphic Labs, Alphabet’s AI drug-discovery company.

Some have left Google altogether, including Nobel Prize winner John Jumper, along with researchers Jonas Adler and Alexander Pritzel, who are now at Anthropic.

But don’t mistake this for the end of AlphaFold.

The project is still going strong. Its database now contains more than 200 million predicted protein structures, while AlphaFold 3 and AI-driven drug discovery continue under DeepMind and Isomorphic Labs.

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Google DeepMind has announced Gemini Robotics 2, a new AI system designed to control the full-body movements of humanoid robots, including walking, crouching, and manipulating objects with five-fingered hands.

The system integrates three main models. Gemini Robotics 2 translates visual input and instructions into coordinated movement. ER 2 manages complex, multi-minute tasks, tracking hundreds of decisions while coordinating multiple robots. On-Device 2 operates locally and can adjust to a new two-armed robot using fewer than 200 training examples gathered over several hours.

Robotics 2 has been tested on different versions of Apptronik’s Apollo humanoid and the Franka Duo robot, using the same system checkpoint.

Reported performance varies, with whole-body task success rates from 45.7% to 76.3%. In manipulation tasks, results range from 32% for dustpan use to 92% for unscrewing a light bulb.

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OpenAI has introduced significant changes to its AI model pricing, directly impacting Luna and Terra tiers. Luna’s price has been reduced by 80% to $0.20 or $1.20 per million tokens. Terra has seen a 20% decrease, now available at $2 or $12 per million tokens. Luna is now 25 times less expensive than Sol.

The Sonnet 5 release stands out as unusually costly and less effective compared to these updates.

Meanwhile, the newly launched GPT-5.6 Sol Fast offers up to 2.5x faster inference, with only a 2x price increase, resulting in a 25% improvement in speed-to-cost efficiency and maintaining the same intelligence.

OpenAI’s approach targets both budget and premium markets, updating pricing and performance across the board.

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🤖 Anthropic accidentally let Claude hack real companies.

Anthropic was running a cybersecurity evaluation where Claude’s job was to break into what it believed were fake company networks in a controlled “capture-the-flag” challenge. The AI was told it was inside a secure simulation with no internet access.

Except… it wasn’t.

Because of a configuration mistake, the testing environment was connected to the real internet. Claude had no idea. It searched online, found actual organizations that looked like its fictional targets, and started probing them for weaknesses.

In one case, the name of a real company was so similar to the fictional company in the challenge that Claude targeted it instead.

The AI successfully gained unauthorized access to three real organizations by exploiting common security issues like weak passwords and exposed services. It didn’t invent any new hacking techniques or discover zero-day vulnerabilities, it simply used the same kinds of methods a human penetration tester would.

Anthropic says it reviewed more than 141,000 evaluation sessions to understand exactly what happened. Two of the affected organizations didn’t even know they had been accessed until Anthropic contacted them.

The company has since paused internet-connected cybersecurity evaluations, fixed the testing setup, and introduced stronger safeguards to prevent anything similar from happening again.

Source.

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Sam Altman on China distilling US AI models: "This is not in my top 10 list of worries."

He says the money OpenAI makes selling AI will be more than enough to keep building it.

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⚡️This robot just tied a knot with its own hands

It also unscrewed a lightbulb and sealed a bag of grapes without being programmed for any of them.

The robot runs on Google DeepMind's Gemini Robotics 2 with 22 finger joints, all controlled by a single AI model.

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❗️An AI superstar just had a $13 billion meltdown

Former OpenAI researcher Leopold Aschenbrenner built one of Wall Street’s hottest AI hedge funds, growing it from just a few hundred million dollars to over $20 billion in only two years. Investors treated him like an AI oracle, piling into the same trades he made.

Then July happened.

A sharp selloff in AI stocks crushed the fund, wiping out around 67% of its value in a single month. The biggest culprit? Leverage. Borrowed money supercharged returns while AI stocks were soaring, but when prices reversed, margin calls forced the fund to sell assets at the worst possible time.

To stay afloat, the firm rushed to sell most of its public stock portfolio to Citadel during the market panic. It also tried to offload $3.5 billion worth of its Anthropic stake to a group led by Greenoaks and Sequoia Capital, but after reaching an agreement, the deal unexpectedly fell apart the very next day.

For now, the Anthropic shares remain untouched, but the fund has eliminated the leverage that fueled both its meteoric rise and its dramatic collapse.

In a letter to investors, Aschenbrenner admitted the firm had let them down, while also pointing to aggressive short sellers who had targeted many of its positions.

Source.

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