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DeepSeek open-sources inference framework DeepInfer and Token codec component deepseek-recipe

DeepSeek open-sources its self-developed inference framework DeepInfer (Apache 2.0) and the production-grade Token codec component deepseek-recipe (MIT), supporting DeepSeek V4.1 Flash in serving 155 trillion Tokens per day on a single cluster. Official online statistics show an average of 77K Tokens input per request, a time to first token of about 400 milliseconds, 230 Tokens output per second during the generation phase, and an average of 96% of input hitting the cache. DeepInfer currently supports V4.1 Flash; the open-source version provides only offline inference, and the KV cache management and load balancing code has not yet been fully open-sourced because it is tied to internal infrastructure.

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MiniMax Releases M3.1 Flash, Scoring 29.6% on Agents' Last Exam to Rank First Among Chinese Models

MiniMax has officially released M3.1 Flash, the model previously known as Space Bunny (Yutu) that topped the charts anonymously on OpenRouter. It scores 29.6% on Agents' Last Exam, ranking first among Chinese models. The model achieves 73.7% on DeepSWE v1.1, 82.2 points on CyberGym, and 61.7 points on OSWorld V2, with output speeds of up to 200+ TPS and a P50 maintained at 170+ TPS. Pricing is 1 yuan per million input tokens, 4 yuan for output, and 0.1 yuan for cache reads.

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Asymptote Labs Raises $5.5M Seed Round to Monitor and Govern Enterprise AI Agents

Asymptote Labs has closed a $5.5 million seed round led by Tower Research Ventures, with participation from Lytical Ventures, 1984 Ventures, and South Park Commons; the funds will be used for engineering, product development, hiring, and market expansion. Its solution consists of Beacon, an MIT-licensed open-source telemetry layer, and an enterprise-grade detection, response, and governance platform. Beacon can record activity from more than 20 agent harnesses, including Claude Code, Codex, and Cursor, and normalize it into a runtime data model that extends OpenTelemetry. The company says Beacon's GitHub star count grew more than 460% in September and that it reached No. 3 on GitHub's global trending list.

Otter.ai receives $320 million investment from General Catalyst's growth fund for its meeting tool

Meeting transcription tool Otter.ai has received $320 million from General Catalyst's Customer Value Fund (CVF), with the funds to be used for enterprise growth, marketing, international expansion, and product innovation. The company has raised a cumulative $50 million, surpassed $100 million in ARR last year, and to date 40 million users have used its products, up from 25 million last year. Otter is testing features such as pre-meeting briefings and in-meeting Live Assist, seeking to turn meeting transcripts into actionable business insights.

Eka Robotics Completes $150 Million Series A Funding at a $1.45 Billion Valuation

Eka Robotics has completed a $150 million Series A funding round led by a16z and F-Prime, at a post-money valuation of $1.45 billion. The company was founded by MIT professor Pulkit Agrawal and former Google DeepMind researcher Tuomas Haarnoja. Its vision-force-action model, paired with force-sensing grippers, can grasp about 1,500 objects weighing under 1 kg per hour, with a success rate exceeding 95%; the gripper costs less than $1,000 and is rated for 5 million cycles. The team uses a physics simulator to build reinforcement learning environments, and says it can generate thousands of hours of robot experience within minutes. It is currently running pilots with industrial customers for pick-and-place and cable manipulation.

MIT Course MAS.S62: Two Lectures on the Evolution of Harnesses and Multi-Agent Systems

Lectures 4-5 of the MIT course MAS.S62 "How to AI an AI" focus on Harness evolution, covering the evolution of harness components, memory, tools, and skills, as well as the evolution of planning, task decomposition, and multi-agent systems. The memory section uses a three-axis taxonomy to connect MemGPT, mem0, MEM1, and Reflexion/ExpeL, and uses CLM to unify context management as file operations; the tools section moves from Toolformer, ToolLLM, and CodeAct to Meta-Harness, which represents the entire harness as a file system and provides about 400 times the amount of feedback information of previous methods. The multi-agent section presents five empirical findings, including that MAS wins 81% on decomposable tasks and loses 70% on tasks with sequential dependencies, and that CORAL achieves new SOTA on 8 tasks, with multi-agent evolution improving over single-agent by 4%-20%.

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4 tips for styling outfits with Gemini

Athlete stylist Sydney Bordonaro uses Gemini to style clients remotely: she uploads a photo of the client and screenshots of items she wants to buy, and Gemini composites a complete outfit image so the client can preview the look before ordering. She also swaps individual items such as boots and jackets through conversation, sends the rendered images to clients for feedback, and photographs clothing stains so Gemini can suggest cleaning steps.

Illinois Governor JB Pritzker on AI: It could help people live to 100, or threaten humanity like nuclear weapons

In an appearance on the Decoder podcast, Illinois Governor JB Pritzker said AI could both help humans live to 100 and pose a threat like nuclear weapons. He believes data centers, privacy, and antitrust are sparking bipartisan backlash, and that the government should do more to protect the public rather than just working with companies.