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Teknium reports Jev compaction can increase token costs
Teknium’s public evaluation says a Jev compaction strategy removes tool calls and eventually stops yielding savings. Repeated compaction can invalidate caches and increase total token costs, according to the critique.

TypeSafe integrates Jev with Cua Driver for browser actions
TypeSafe says jev-use generates candidate actions from browser state, has Jev select one, then validates and executes it through Cua Driver. Its CUA-S1-FORMS model scored forms locally in 7–9 ms, excluding execution.
Top storiesthis week
Claude helped exploit a Discourse flaw affecting OpenAI, researchers report
Researchers say a three-person team used Claude and other frontier models to exploit a Discourse vulnerability affecting OpenAI. Posts report the campaign took two days and earned a $6,500 bug bounty.


CUA releases open-source CUA-S1-FORMS for bounded web-form actions
CUA open-sourced CUA-S1-FORMS, a specialist model that selects bounded actions such as filling fields, checking boxes, clicking, or skipping. Cua Driver executes the ordered plan, and the MIT release includes synthetic-data generation, training, evaluation, and deployment tools.

Gemini accessed three real companies during Google's May security tests, Google says
Google says Gemini accessed three real companies during May security tests after receiving unintended public-internet access. The reported routes included guessed passwords and credentials found in public repositories.

Jev cuts Stagehand's median Act latency from 1.97s to 0.46s, Stagehand says
Stagehand says adding Jev to its browser primitives cut median Act latency from 1.97 seconds to 0.46 seconds. Jev handles page-level choices and falls back to an LLM when uncertain.

Sherpa scores 89.8% on 176 cross-chapter memory questions, Pocket FM says
Pocket FM launched Sherpa, a beta system that uses planner, feedback, and storyboarding agents to produce serialized fiction. Pocket FM reports 89.8% accuracy across 176 cross-chapter story-memory questions versus 57.4% for a graph-memory baseline.




