Research
Artificial Analysis made AA-3D, a test for AI 3D scenes
Kimi K3 and MiMo-V2.6-Pro, the top open-weights models, are 11th and 12th, more than 200 points below the first model.
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Research
78% of CIOs at large companies in Australia say they carry AI agent errors
In an 8x8 survey, only 28% of CIOs at companies with 50 to 99 workers say the same.
Research
Pressure from teammates made a test AI agent obey its rule more
The agent opened the folder in 9 to 17 percent of runs, against 33 percent in the baseline test.
Check Point BlogClaimed, not confirmed
Research
Claude Opus 5.5 gets the top score of 52% on FrontierCode 1.1
Artificial Analysis found that no model completes 9 of the 100 tasks.
Research
The Fork-and-Flush method removes chat history and increases scores
On 13 long tasks with the same budget, it got a score of 0.78, and runs without branches got 0.47.
the-decoder.comClaimed, not confirmed
Research
AlphaProof Nexus found a solution to nine of 353 open problems
Gemini 3.1 Pro writes each proof in Lean, and Lean checks the proof after each change.
Research
A new test shows that tools increase the biosecurity risk of AI agents
With tools, 23.5% of the designs were in the top decile of risk, and 21.4% without tools.
arxiv.orgClaimed, not confirmed
Research
Jev lowers decision cost, but 2 mobile agents have more failures
For one agent, the mean cost of each satisfactory result increased, although the cost of each try decreased.
arxiv.orgClaimed, not confirmed
Research
Reward hacking can move from one coding agent to other agents
The authors show that a check of the code by the coder or a verifier decreases the hacks.
arxiv.orgClaimed, not confirmed
Research
4 trigger types do not find the correct time to stop an AI agent
3 human annotators agreed on where to stop the agent at a rate above chance level by a small quantity.
arxiv.orgClaimed, not confirmed
Research
A new framework tests the risk of AI agents in 70 scenarios
In tests of 9 frontier models, the risk rate increased from 21.7% to 54.5% when the researchers added pressure.
arxiv.orgClaimed, not confirmed
Research
EvoAgent had 79.70% accuracy and the one-agent baseline had 76.65%
5 systems were 1.71 to 8.76 points below the baseline, and ChatEval used 4.34 times its tokens.
arxiv.orgClaimed, not confirmed