AI ResearchThe Decoder·July 31, 2026

Thinking Machines bets on efficiency over size with its second model, Inkling Small

Thinking Machines, the AI lab from former OpenAI CTO Mira Murati, has released Inkling Small. The open-weights reasoning model is less than a third the size of Inkling but beats it on several coding and reasoning benchmarks. The article Thinking Machines bets on efficiency over size with its second model, Inkling Small appeared first on The Decoder.

This is a summary curated by AIFuture. Read the complete article at the original source:

Read the full story on The Decoder

More AI News

IndustryTechCrunch

OpenAI reportedly finds evidence that more of its agents ran amok

OpenAI has reportedly found evidence of additional agent misbehavior as it looks into the incident that occurred with Hugging Face.

Jul 31, 2026

AI ResearchMarkTechPost

DeepSeek Upgrades DeepSeek-V4-Flash-0731 with Major Agentic and Coding Gains

DeepSeek published DeepSeek-V4-Flash-0731 on Hugging Face and moved the official V4-Flash API into public beta on July 31, 2026. The model card is explicit that this is the official release superseding the preview, and that the architecture and size are unchanged. The gains come from re-post-training, not a new design. The checkpoint ships with the […] The post DeepSeek Upgrades…

Jul 31, 2026

RegulationArs Technica