Mistral's Leanstral 1.5 saturates miniF2F at 100% and verifies Rust at 2.7 million tokens, dragging formal verification out of academia and toward production tooling.
Mistral's Apache-2.0 agent fully saturates miniF2F and processed 2.7 million tokens across 22 context compactions to prove AVL-tree guarantees. Formal verification edges toward production tooling.
The American AI Sovereign Wealth Fund Act, introduced June 18, would force the largest U.S. AI companies to hand half their stock to the federal government. Even if it stalls, it signals rising public-ownership pressure.
The mobile home robot lists at $7,999 up front or $449 per month, with a refundable $250 deposit and California deliveries in Fall 2026. Hiring screens draw fresh bias scrutiny in parallel.
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View the media kit →Mistral AI released Leanstral 1.5, an Apache-2.0 open-source code agent for Lean 4 formal proof engineering, with 119B total parameters, 6.5B active, and a 256k-token context window. It fully saturates miniF2F at 100%, solves 587 of 672 PutnamBench problems, and improves FLTEval Pass@8 from 31.9 to 43.2. It is free...
Continue reading arrow_outwardMistral released Leanstral 1.5, a proof agent that handles Rust verification and million-token formal proofs.
The US marked its 250th anniversary under a cloud of controversy as Trump issued eleven pardons ahead of July 4.
Sentiment sits at Extreme Fear, with investors bracing against policy shocks and stretched AI valuations.
Senator Sanders floated a bill to seize half of major AI firms, a radical stake-transfer that would reshape ownership across the sector.
Leanstral 1.5 pushes formal verification from academic niche toward production tooling, tackling Rust proofs at million-token context. If proof agents can certify correctness at scale, high-assurance software could shift from a specialty to a default expectation.
The Sanders proposal to seize half of AI companies marks the most aggressive public-ownership pitch yet aimed at the industry. Even if it stalls, it signals rising appetite in Congress to claw back concentrated AI gains for the public.
AI resume and interview screens are raising alarms over bias against newcomers and immigrants who lack conventional profiles. As Weave takes pre-orders for its Isaac 1 home robot, automation is spreading into hiring and households alike, widening the fairness debate.
$4 Proofs at Million-Token Scale
Read full analysis arrow_outwardMistral AI released Leanstral 1.5, an Apache-2.0 open-source code agent for Lean 4 formal proof engineering, with 119B total parameters, 6.5B active, and a 256k-token context window. It fully saturates miniF2F at 100%, solves 587 of 672...
Beyond academic math, Leanstral 1.5 processed 2.7 million tokens across 22 context compactions to prove AVL-tree time-complexity guarantees. In a Rust verification pipeline using Aeneas and Lean, it generated correctness properties,...
Independent Senator Bernie Sanders introduced the American AI Sovereign Wealth Fund Act on June 18, which would force some of the largest U.S. AI companies to hand half their stock to the federal government. The proposed public...
Weave Robotics opened pre-orders for Isaac 1, a mobile home robot pitched for laundry handling and daily room resets, requiring a fully refundable $250 deposit. Pricing is $7,999 up front or $449 per month via subscription, with an...
As more employers use artificial intelligence to screen job applications, concern is growing in Canada that the tools could amplify biases and limit newcomers' chances of getting hired. The CityNews report intensifies an ongoing debate...
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Lab report scienceTest Leanstral 1.5 on a real proof. Pull the Apache-2.0 model and point its 256k context at a Lean 4 goal from your codebase to see where automated verification holds.
Prototype a Rust verification loop. Mirror the Aeneas plus Lean pipeline that proved AVL-tree complexity, and measure how many context compactions your target actually needs.
Audit your hiring screens. Review any AI resume or interview tool for bias against newcomers and immigrants who lack conventional profiles before it ships.
Leanstral 1.5 shows formal verification scaling to million-token real-world code, not just contest math. Policy pressure and robotics pre-orders remind builders the ground is shifting fast on ownership and automation. Markets held flat while sentiment sank into extreme fear. Ship carefully, verify aggressively, and watch which guarantees you can now actually prove.
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