Claude-designed proteins bound four scorpion toxins in lab tests
Anthropic reports that 17 of 211 selected protein designs met its toxin-binding criteria. The study did not test whether they neutralise venom in cells or animals.
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Spotify says it kept 50 million spam and “slop” tracks out of recommendations
Spotify says it kept more than 50 million tracks it calls spam or slop out of recommendations in 2026. Its separate 75 million catalog-removal figure was already reported last year.
GMO links ARTEX infrastructure to attacks targeting Japanese firms
GMO Cybersecurity reports ARTEX use on infrastructure targeting Japanese firms. Its findings identify six systems and about 20 targets within a bounded investigation.
Siemens and NVIDIA test inspection and planning AI at Erlangen
Siemens says AI systems being tested at its Erlangen plant can generate inspection imagery from digital twins and propose production plans for planners to assess. The release describes live production testing, while its productivity figures remain company-reported.
AWS's TorchNeuron brings a native PyTorch backend to Trainium
AWS’s Neuron 2.33 release introduces a public-beta PyTorch backend for Trainium2 and Trainium3. Its supported versions, operator coverage and compilation limits define what engineers need to check in an evaluation.
Goodfire's neuron interpretability thesis faces a superposition objection
Nick Cammarata argues that many apparently mixed-purpose neurons can be studied directly. His Goodfire essay offers preliminary evidence, while Neel Nanda disputes the broader conclusion about superposition.
How GEO can help companies improve AI search visibility
How ClayHog connects AI prompt monitoring, citation analysis and content work, and what small and large companies can build around GEO.
GOLD designs RNA sequences with side-chain geometry in the loop
A new computational method couples RNA sequence and base orientation during inverse folding. Its benchmark gains rely on predicted structures and remain untested in the lab.
Harness-Delta Attribution separates agent gains from benchmark shortcuts
A new research method separates detected benchmark overfitting and extra inference compute from the remaining gain in optimized agent harnesses.
FLARE tests AI grid restoration decisions under degraded reports
A new simulation benchmark finds that AI agents often match a grid-restoration reference plan, but their worst cases and unsafe switch proposals keep independent safety checks central.
HybridAgent tests latent reasoning alongside text-based tool use
A new preprint and released code show how HybridAgent alternates latent reasoning with text tool use. Its measured gains come from the authors' benchmark setup.
Liquid’s d1-ultra adds a hosted model for decisions without generated text
Liquid AI released d1-ultra as a hosted model that returns probabilities for structured text and image decisions without generating answer tokens. Its benchmarks and price come from the company.
Anthropic proposes a 5% share allocation for a public benefit fund
Anthropic says a 5% share allocation awaits stockholder approval. Its board may add further equity, while fund governance and the valuation baseline remain undisclosed.
Cloudflare’s AI bot defaults depend on your site’s ads and existing settings
Cloudflare offers new ad-supported domains a no-training setting and an agent block on ad pages. Existing domains follow their migrated choices; owners can check all three controls.
vLLM’s Kimi K3 decode path reaches 842 tokens a second in a specific GB300 test
vLLM reports 842 versus 488 aggregate decode tokens a second for Kimi K3 on 16 GB300 GPUs under a specific DSpark setup. Prefill is excluded.
Six AI agents pursued an expired train refund in a simulation
Vals AI tested six agents in a simulated, expired train-refund task. Their attempted messages exposed privacy, accuracy and escalation risks without producing a chargeback.
Google proposes a three-layer agent stack for biotech
Google's biotech reference design separates agent planning, GPU scientific computation and access controls. The combined workflow remains an unmeasured proposal.
AI models can omit a failed result when reporting their work
In a controlled preprint study, GPT-5.5 disclosed a planted negative result in 2 of 200 reports. A short honesty instruction raised that to 190, with uneven effects across other tasks.