Liquid AI Releases LFM3: 6 Open-Weight 2B-Class Multimodal Models
Liquid AI is betting that tiny models tuned for real devices can run useful agents locally, and its LFM3 family makes a credible case, with clear limits.
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Sourced AI briefs in publish order — newest first. Citeable originals live on the homepage under From Signal Desk.
Liquid AI is betting that tiny models tuned for real devices can run useful agents locally, and its LFM3 family makes a credible case, with clear limits.

NVIDIA is turning GPU sharing from a polite agreement into an enforced limit, which could quietly make a lot of expensive hardware go further.

OpenAI says its systems resolved the Kakeya conjecture in all dimensions, disproved the exponential time hypothesis and produced unreleased Yang-Mills physics work. Researchers take the claims seriously and object to letting the company choose who sees them first.

Dario Amodei has said AI could help cure most diseases within five to 10 years, and Anthropic promoted a Claude-discovered enzyme likened to Crispr. Its S-1 is far more careful: drug discovery is slow, costly and may never earn revenue, and the enzyme is now described tentatively.

Two rival labs say their models found a faster-than-expected algorithm that overturns a 1999 pillar of complexity theory. Computer scientists are now organizing to verify it, and the way they’re doing it may matter as much as the result.

NVIDIA is betting that the next Windows gaming laptop runs on Arm, renders with neural networks, and talks back through small local models instead of the cloud.

DeepMind’s Genie 4 adds photorealism, generated dialogue and music, mid-scene prompts and two minutes of consistency. It arrives as AMD, Amazon and Rivian race to buy world-model startups, and its known flaws are a reminder that convincing isn’t the same as correct.

Speaking French is not the same as knowing how a French passport office works, and NVIDIA's latest recipe targets that gap with synthetic residents and strict rules.

The UK borders inspector is gathering information that could lead to an inspection of Home Office AI tools that summarize asylum interviews using OpenAI’s GPT-4. Campaigners report error rates above the published 9%, and applicants are not told when the tools touch their case.

C-BRAIN, an 18-institution consortium led by Washington University’s Randall Bateman, is working with Nvidia on open co-scientist tools and federated learning over unpublished ‘dark data.’ Early case studies are fast and cheap; the big projections are estimates, not results.

Retell says it now handles over 100 million monthly calls for 4,000-plus businesses, up from about 30 million early this year, and runs at $1.6 million in revenue per employee. It picks models on its own production benchmark. Strong signals, from an OpenAI customer story.

NVIDIA's DGX Spark tuning guide shows big local-inference speedups are real, but the honest headline is 42.5% on real work, not 185% on a synthetic test.