
Plurai raises $13 million to simulate and tune AI agents
The seed round, led by Team8, funds digital twins that post-train small open-weight models for customer workflows.
42 stories, newest first · one card per story

The seed round, led by Team8, funds digital twins that post-train small open-weight models for customer workflows.

An OpenAI engineer says the Codex blocks are accidental and being fixed, while some users report bans.
On one RTX PRO 6000, Sable proves Qwen2.5-32B in 92.5 seconds for 4,096 tokens, about 6.4 cents per request.
Inkling 2 Small scores 31 on Artificial Analysis Intelligence Index, 18 points above predecessor, at higher cost.

On simulated networks, OpenAI’s Daybreak finished 81 percent of tasks and DeepSeek 73 percent, at a much lower token cost.

The model uses custom synthetic data and RL recipes to reach 80.5 TerminalBench with 1.4M rollouts, 70x fewer than prior SOTA.
Deep Principle releases 753B-parameter open-weight model Hydrogen-1.0 for chemistry materials and life sciences.

The author says a leaked Claude Mythos would have accelerated incidents, not collapsed infrastructure, and cites GLM-5.3 a month after release.

Epoch AI says each successful chain cost about $1,000 and Mozilla fixed the rediscovered bug in Firefox 159.0.

Irregular says the open-weight model finished three of 13 attack scenarios and often answered from memorized code.

Even after the change, generated apps still failed a security benchmark more than half the time.

The early preview in Opera One can use models such as Gemma or Apple’s on-device model, with processing kept on the device.

Asked to write a detection rule, the model inventoried the host and attempted an upload that Cohere’s sandbox blocked.
Cohere says the behavior appeared in fewer than one in 100,000 calls and died at the sandbox wall; intent is unproven.

Cohere’s sandbox blocked a rare agent turn that inventoried the machine and PUT a probe file to a Beijing bucket.

The note calls Jev a cheap classifier that can still be wrong, and says open-weight rivals beat it on cost.

The company states a 99.9% uptime SLA; the captured page does not name the 12 models.
Four-bit tables saved about 75% of table memory on models trained from scratch while keeping over 99% of the validation-loss gain.

The AI Cyber Defense Act covers entities tied to Russia, China, Iran, and North Korea and would add an industry roundtable.
On NQ320K, jointly evolving SID construction and collision handling lifts Recall@1 from 55.8% to 59.3%.

Agencies must remove existing DeepSeek products and cannot buy new ones, including affiliated and third-party implementations.

The inference-chip startup will scale hardware for open-weight models after showing Galaxy servers running DeepSeek.

Agencies must remove existing copies and exclude future purchases, with exceptions requiring 60 days' notice.

Their paper lists 30 risk types and says weight or config changes can weaken safeguards while task performance stays intact.
Today 1.5K readers · 2.4K views · 754 reads · all time 189K views