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🧠 Mistral Releases 1T-Parameter Le Chonk

Le chonk is an open model with 1 trillion parameters, matching China’s GLM-5.3 and Kimi K3.

It writes code and text while handling agent tasks. Among Western AI systems, it is described as the strongest open-source model, and it outperformed GPT Astra in finance and law.

API testing is already available. For the first 2 weeks, pricing is $0.68 per 1M input tokens and $2.09 per 1M output tokens. Weights arrive at the end of October.

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πŸ€– OpenAI Math Claim Draws Scrutiny

The reported result involved an internal model more capable than GPT-6 Astra, solving the Navier-Stokes problem with 10,000 parallel agents. In September, OpenAI said it would not claim the result. The problem is one of 7 Millennium Prize Problems, carrying a $1M prize.

1 day later, NYU professor Tristan Buckmaster and Anthropic researcher Levent Alpoge published work on a related problem using Codex and Claude. Buckmaster says OpenAI followed the same route.

The dispute concerns training data and quiet edits to published papers. OpenAI denies using specific user data but says anonymized data may have improved its models.

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πŸ‡©πŸ‡ͺ Germany Tests a 365-Metre Turbine

With its blades, the pilot in Schipkau reaches about 365 metres, making it Germany’s second-tallest structure after Berlin’s TV Tower.

Led by GICON, the project used a lifting mechanism to push the inner section through the outer lattice frame. This avoided the need for a crane tall enough.

At greater heights, wind is generally stronger and more even. GICON expects roughly twice as much electricity as a conventional turbine with the same rotor diameter. The pilot is rated at 3.8 MW, with future versions planned above 7 MW. It starts supplying data in November.

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πŸ€– Anthropic releases cheaper Haiku 5.5

Anthropic’s first Haiku update in a year costs up to 20 times less than Sonnet 5.5. It is already available to all users.

The model handles routine work, including summaries and document tasks, plus search support for Opus and Sonnet. Benchmarks put it ahead of GPT-6 Luna.

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πŸ–€ Ben Affleck Writes Python

The actor writes Python scripts, understands convolutional neural networks, and works extensively with GPUs.

He learned machine learning through visual effects, then founded InterPositive, an AI startup later acquired by Netflix. He says he can call Google or OpenAI as Ben Affleck and sometimes get a look at their latest models.

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πŸ’  Tesla Expands Car-to-Home Backup

Owners of Model 3 and Model Y in Premium and Performance versions can now use the car to power their home during an outage. Tesla says the backup can last more than 2 days. Cybertruck can run a home for more than 3 days.

The feature requires Powerwall 3. Tesla guarantees support only for cars ordered from October 1, since older vehicles may lack the required PCS2 Lite inverter. It is currently limited to the US and Puerto Rico.

Model S and Model X are excluded, while grid support remains a Cybertruck feature. Kia and GM already offer home backup from their vehicles, and Nissan Leaf has fed energy into the grid for years.

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πŸ‡ΊπŸ‡Έ US Blocks Big Tech Green Cards

The US Labor Department will stop reviewing all current and new applications. H-1B employees at affected companies will no longer receive work-based US residence.

The measure covers Microsoft, Adobe, and other big tech firms. The White House wants to target foreign students at Harvard, Yale, and Stanford next.

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β˜€οΈ Blue Origin’s Lunar Power Tower

Blue Origin’s 20-meter Power Tower is designed to deploy after landing. The Mark 1 lander extends a spiral mast, then unrolls a folded solar panel from its top, like window blinds. The panel tracks the Sun on its own.

At the lunar south pole, the Sun stays near the horizon and shines from the side. A flat panel on the lander would see little of that light, while the vertical design is built for it.

One tower should produce more than 10 kW. Solar power could be available for 44% to 100% of the time, depending on the season. Several towers could form a microgrid for lunar vehicles and base systems.

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πŸ–₯ Microsoft Rebuilds Windows for AI Agents

Its Hybrid Intelligence system will route each task between on-device models and the cloud. On powerful PCs, models with hundreds of billions of parameters can run locally. Microsoft showed MAI Code 1.1 Flash with 137 billion parameters and a 256K context.

The target is autonomous agents that can operate on the computer and write code, with access to files and apps.

Execution Containers isolate the agent and let users grant separate access to selected files or the internet. They already support several tools, while Claude Code is planned for later.

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