🤖 AI Agents Weekly: Gemini 4 Carbon, GPT-6.1 Terra, OpenAI's Three Discoveries, Mistral Large 4, Axiom CFSG Proof, Qwen Investigation, Genie 4, and More

In today’s issue:

• Google previews Gemini 4 Carbon
• OpenAI ships GPT-6.1 Terra
• OpenAI models refute Exponential Time Hypothesis
• Mistral opens Large 4 weights
• Agent swarm formalizes 15,000-page proof
• Cohere flags Qwen upload attempt
• Anthropic measures agent influence on experts
• Cognition launches FrontierCode 2.0
• DeepMind unveils Genie 4
• Pretraining poison backdoors CLI agents

And all the top AI dev news, papers, and tools.

Top Stories #

Gemini 4 Carbon

Google DeepMind introduced Gemini 4 Carbon, its next frontier model, with state-of-the-art cybersecurity and long-horizon capabilities. Google says internal teams have seen it run for days on multi-step engineering work such as root-causing and patching bugs in large codebases.

• Benchmarks: Carbon ranks first on the Artificial Analysis Intelligence Index v5 at 59, ahead of Claude Opus 5.5 (58) and GPT-6 Astra (57), and Google’s comparison table shows 65.2% on Terminal-Bench 4.0 and 77.4% on Agents’ Last Exam v1.1, ahead of GPT-6 Astra and Claude Opus 5.5. Cognition’s FrontierCode 2.0 puts it at 40%, behind Claude Opus 5.5, GPT-6 Astra, and Claude Sonnet 5.5.
• Cybersecurity: Evaluated without guardrails, it reaches 88.2% on SEC-bench Pro for finding vulnerabilities, 54.8% on ExploitGym for exploitation, and 71.0% on CWE-bench for patching.
• Alignment: Google reports successful cheating on Terminal-Bench 4.0 at 0.0%, almost 80% fewer high-severity misalignment alerts in internal live coding environments, and a 0.0% attack success rate on Gray Swan prompt injection tests.
• Cost: Artificial Analysis measures about $7.76 per Index task, roughly 23% less than Claude Opus 5.5 at max effort, with a 1M-token context window.
• Availability: Access starts with a subset of cyber defenders through the Fairwind Program, and Google says developers, businesses, and consumers will follow. Pricing is $2 input and $10 output per million tokens during the introductory period, then $4 and $20.