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🤖 AI Agents Weekly: Kimi K3, Thinking Machines Inkling, Agentic Misalignment, Perplexity SPACE, Sunday ACT-2, GPT-Red, and More

Moonshot AI open-sourced Kimi K3, a 2.8-trillion-parameter mixture-of-experts model with a 1-million-token context window and native vision, achieving state-of-the-art results on agentic benchmarks like Terminal-Bench 2.1 and DeepSWE. The model introduces Kimi Delta Attention for faster decoding and Attention Residuals for improved training efficiency, with weights to be released on July 27.

read1 min views1 publishedJul 18, 2026
🤖 AI Agents Weekly: Kimi K3, Thinking Machines Inkling, Agentic Misalignment, Perplexity SPACE, Sunday ACT-2, GPT-Red, and More
Image: Nlp (auto-discovered)

Kimi K3, Thinking Machines Inkling, Agentic Misalignment, Perplexity SPACE, Sunday ACT-2, GPT-Red, and More

In today's issue:

Moonshot open-sources Kimi K3

Thinking Machines ships Inkling weights

Anthropic finds new agent misalignment

Perplexity opens SPACE agent runtime

Sunday Robotics unveils ACT-2

OpenAI launches GPT-Red red teamer

Meituan open-sources LongCat-2.0

schema harness saturates ARC-AGI-3

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

Top Stories #

Moonshot Open-Sources Kimi K3

Moonshot AI introduced Kimi K3, billed as the first open 3-trillion-class model, with weights due July 27.

Scale and architecture: A 2.8T-parameter Stable LatentMoE activating 16 of 896 experts, with a 1M-token context window and native vision in a single model.New attention design: Kimi Delta Attention delivers up to 6.3x faster decoding in million-token contexts, and Attention Residuals add roughly 25% higher training efficiency at under 2% extra compute.Agentic strength: Leads Terminal-Bench 2.1 and scores 67.3 on DeepSWE, with demos of autonomous kernel optimization, compiler development, and vision-in-the-loop coding.Availability: Live via Kimi.com, Kimi Code, and API from about 0.30 dollars to 15 dollars per million tokens, with open weights following on July 27.

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