AI — Page 55

In a post on X, Bosmeny likened the blanket offer to Yuri Milner’s YC deal; no terms beyond equity-for-tokens were disclosed.

Johannes Brandstetter's Linz team joins Arthur Mensch's Mistral to push real-time sims and digital twins into aerospace, auto, and semiconductors.

Three checkpoints (500M, 3B, 8B) ship under Apache 2.0 with open weights, code, and data; a 6-mer tokenizer and a new loss drive the team’s cited ~275x throughput vs Evo2 while the 3B matches Evo2-7B’s win rate, trained on ~1T tokens, and they say a single GPU can process a human genome in under two days.

In a post on X, Staniszewski said the move is in collaboration with Einstein's estate and frames AI agents as one-to-one teachers for students.

The UCL AI professor joins a heavyweight founding crew to turn compute into accumulated knowledge with open-ended, automated scientific discovery.

Rebuilt release adds multi-agent teams, scheduled tasks, native voice and one-click integration, with a blog post and downloads live today.

Announced during Google I/O, the new model is positioned for long-horizon agent workflows and coding tasks and is live via the Gemini API in Google AI Studio.

An X thread flagged a Washington Post report from Troy, NY, where an AI camera rollout spurred uproar and a state of emergency; the Austin rampage has reopened questions about whether ALPRs like Flock Safety would have changed events there.

The prototype uses Claude-driven vision-language planning and electrical muscle stimulation to guide wrist and finger movement for training and assistance.

The team showed cinematic avatar shots linked into longer sequences, pointing at narrative workflows instead of isolated clips.

In an X thread, Will Held says small-run fits predicted a 25B-param, 600B-token run at ~1e23 FLOPs, matching Paloma macro loss within 0.2% error.

In a post on X, the company argues agent behavior should be controlled by enforceable policies rather than instructions buried in a prompt.

Meta's AIRA architecture discovery work signals that agents are starting to help design neural models.

A short X video frames the bet: focus on robot hands and the failure points in everyday tasks like pouring coffee and grasping objects.

Built across 23 live SaaS apps and 106 long-horizon tasks, the open benchmark finds frontier agents stumble on planning, memory, cross-app context, and error recovery.

An X post cites 34.4% vs 32.3% U.S. enterprise share for Anthropic with no disclosed methodology. The gap is slim and could reflect marketing, product fit, or buyers seeking an OpenAI alternative, even as some developers say OpenAI's code tools beat Claude Code.

A Colossus magazine Q&A and profile cites Devin at a $445M annualized run rate with usage doubling every eight weeks, and names the US Army, Goldman Sachs, and Mercedes-Benz as early customers.

Majority-owned unit will embed Forward Deployed Engineers; backed by 19 partners and starting with 150 specialists and $4 billion, per OpenAI and Greg Brockman.

The six-month program begins this summer, selected from 124 applicants and backed by Google and GenerationAI.

MIT researchers Md Ferdous Alam and Faez Ahmed release a demo, paper and code for an image-conditioned model that outputs full parametric CAD command histories.

The research group linked to a write-up and cited 98-100% figures after red-teaming DeepSeek’s latest model, according to a post amplified on X.

A crates.io debut touts multi-model support, a TUI, sandboxed bash, and a permission system in an 8.9MB binary that idles near zero CPU.

The NVIDIA research team says the open-source code can turn a single image plus a camera path into a minute-long, controllable clip; weights are listed as coming soon.

In a post on X, Roemmele says the model generates controllable, physics-rich, high-fidelity worlds; the post did not include a repo or paper link.