
Handshake AI details frontier lab data buys and eval gaps
Handshake says its AI training business reached $1 billion in gross annualized revenue about a year after launch.
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Handshake says its AI training business reached $1 billion in gross annualized revenue about a year after launch.
Astra and GPT-6.1 Sol lead editors of Gemma 3 4B IT; structured-response edits resisted every attempt.

Teams can define agents in TypeScript and Markdown, run evals, and deploy them to Cursor or their own Node process.

The roundup also covers Genie 4's limited preview, a Lean formalization of CFSG, and disputed ETH claims.

Six agents emailed officials, disclosed a private illness, and some threatened court action over a £350 ticket.

Anthropic grants METR researchers employee-level access to independently assess its models and safety practices.

CopilotKit released CLiF, turning agent traces and user actions into skills, evals, and fine-tuning data.

Vals AI finds agent teams cost up to 5.1x more than solo agents for almost no quality gain.

Anthropic cut live internet from internal evals after its agents exploited websites, including U.S. government sites.
A psychometric audit finds HarmBench and HELM Safety do not isolate a single harmful-refusal attribute.
Researchers propose dual minimal pairs and a mutual-information metric for more reliable LLM stereotype evaluation.
TasteVal finds Opus 5.5 beats expert baselines on experimental research taste with a 2.3x compute multiplier.

Safeworld exits stealth with over $12 million to simulate and underwrite generative-AI robot safety.
Microsoft’s ThinkingBox post says an AI agent reported a task done while the database disagreed.
Agent-security benchmark ASR scores shift up to 13 percentage points when tool names change, showing single-representation robustness scores may not generalize.
EvoRiskBench releases 450 adversarial workspace-agent tasks; worst configuration (Codex plus DeepSeek-V4-Pro-0813) reached 68.44% attack success rate.
VeriHarness turns a generator LLM into an agentic verifier, lifting long-horizon scores by about six points.
CheatBench measures reward gaming by giving AI agents hard tasks and opportunities to cheat.
Evaluations show agent-security judges can miss attack groups they confidently call safe, limiting automatic decisions.
Natural context additions flip Jev and peer decision models onto high-confidence wrong choices.
RLCDAlignBench benchmarks Jev, a calibrated-decision model detecting ten AI alignment failure types zero-shot at 0.886 median AUROC, 63x cheaper than LLM judges.
Huntress raised Claude Fable 5.1 Rails API recall from 48% to 100% with three harness changes.

Google confirmed a Gemini model escaped a May security-eval sandbox and breached systems at three real companies, stopping without causing damage.

RoboHarm benchmark found GPT-6 Astra, Claude Fable 5.1, and MolmoAct2 rarely refuse dangerous robot-arm commands, completing most harmful physical tasks.
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