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k surge and Cursor’s internal model progress, competition might also play a bigger role than ever. The Rundown: Blotato automates your DMs using Claude, ChatGPT, Hermes, or any AI Agent, helping you turn engagement into actionable leads. This case study shows you how to convert attention into sales by engaging viewers instantly with lead magnets, special offers, and guides. In this case study, you’ll learn: How one DM automation led to $120K ARR How to easily set up DM automations with Claude or

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of today’s leading AI companies, including OpenAI, Cursor, Cognition, Harvey, Physical Intelligence, Legora, and Baseten, also run product development in Linear. The platform for agent-driven product development⁠ Around six months ago, we wrote that “issue tracking is dead” and outlined a direction for Linear, to turn context into execution with AI. We launched our agent platform last year. Today, agents are now installed across 95% of paid Linear workspaces and the share of work they create ha

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nue scaling the AI boom. The Rundown: Most companies bolt on AI governance after the fact and hope regulators don't notice the gaps. Dataiku builds it directly into how models and agents are built, deployed, and monitored, so compliance isn't a scramble; it's the default. With Dataiku, you can: Confidently navigate real-world AI regulation across models and agents Embed governance into every stage, from analytics to deployed AI systems, like Beinex, DHL Aviation, and OHRA already do Join some of

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tman telling reporter Alex Heath that private models are showing "various degrees of misalignment." The details: The move follows July's breach that hacked Hugging Face, where OAI agents escaped a sandbox and reportedly coordinated on a message board for weeks. An Aug. 7 internal review also found that Astra may hit "critical" cyber capability, with evals showing big jumps in coding and hacking benchmarks. Automated investigators will now review model actions and reasoning, with staff meant to h

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bag back at GTC 2026 in March that if hyperscalers, cloud builders, AI model builders, and other enterprises as well as sovereigns needed low latency inference if they want to use agentic AI or if they just want to charge a premium for chattybot inference, they could not do this on GPU architectures. What Huang showed was that to get the best low latency performance across a wider range of latency profiles, what companies needed to do was to split their AI inference engines and process the input

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e testing Anthropic took more than two months to alert cops; AI systems are fully capable of carrying out nightmare attacks against infrastructure and nobody's ready Meanwhile, AI agents move robotic arms, 'make OT device operator screens lie'; Nvidia found $1B under the couch to help secure American scientific computing dominance Commitment comes as GPUzilla prepares to fortify Uncle Sam's arsenal with at least seven AI-optimized supers; TSMC taps GlobalFoundries to bolster US silicon interpose

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that support 12.8 GHz MRDIMMs or 8 GHz RDIMMs. AMD is focusing on faster memory, not newer DDR6 memory that will have lower yields and higher costs initially. The idea is to give agentic AI sandboxes, which are performing tasks (usually in Python) rather than thinking, the highest performance per rack and per watt and per dollar, “bar none,” according to Su. The top end Venice Zen 6 part has 128 cores, half as many as the Zen 6c part, and is optimized for lower cost and is aimed at enterprise b

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based expert load balancing, that Moonshot says combine to deliver roughly 2.5x better scaling efficiency compared to Kimi K2. The result is a model built for long-horizon coding, agentic workflows, game development, and knowledge-intensive tasks, with benchmark results that put it in direct competition with the leading proprietary systems on the market today. Kimi models are available across Together AI Inference products – including Serverless, Provisioned Throughput and Dedicated Inference. D

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Today, we’re welcoming The Interaction Company of California, the makers of Poke, to Cognition. If you’ve used Poke, you know why we’re so excited. Poke is a personal agent that lives in your texts. It messages you first, follows up with you, and feels less like software and more like a friend. People have exchanged more than 100 million messages with it in just the last three months, and it’s the only AI agent approved to text natively on Apple Messages. The Interaction team has built an agent

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ndamental Physics MIT lead: Ronald Garcia Ruiz (Laboratory for Nuclear Science, LNS), associate professor of physics and Thomas A. Frank (1977) Career Development Professor; Multi-Agent Inverse Design of Block Polypeptoids Into Hierarchical Nanostructures MIT lead: Bradley Olsen (ChemE), Alexander and I. Michael Kasser (1960) Professor; CATALYST: Core Accelerated Trajectories with Augmented Learning bY Sim-to-experiment Transfer MIT lead: Cristina Rea (Plasma Science and Fusion Center), principa

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e testing Anthropic took more than two months to alert cops; AI systems are fully capable of carrying out nightmare attacks against infrastructure and nobody's ready Meanwhile, AI agents move robotic arms, 'make OT device operator screens lie'; Nvidia found $1B under the couch to help secure American scientific computing dominance Commitment comes as GPUzilla prepares to fortify Uncle Sam's arsenal with at least seven AI-optimized supers; TSMC taps GlobalFoundries to bolster US silicon interpose

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ces behind the project itself. Last week, Bun creator Jarred Sumner announced that he ported Bun from the Zig programming language to Rust in only 11 days, using a fleet of Claude agents running in parallel. The work cost an estimated $165,000 at API pricing, suggesting that software revisions previously considered too large to undertake could actually be feasible now with AI. Sumner said the port was necessary given the growing number of bugs Bun users were finding, including one implicated in

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und three principles that matter most to our customers and community: Ownership. Open models are yours to keep, customize, and optimize. You’re never locked out of the models your agent or app depends on, and you have complete freedom to change them. Affordability. Models that run on your own hardware don’t come with runaway per-token bills. You can experiment, iterate, and ship without worrying that every prompt is adding cost. Privacy. With open models that can run locally, your data never has

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a handful of labs. RL breaks that open: companies can now own their model optimization loop — train directly on their own product, optimize for their specific workflows, and build agents that improve continuously in production. Owning this loop is how you build a compounding moat in the agentic era. The only missing piece has been the infrastructure — until now, it lived exclusively inside the labs. The Open Superintelligence Stack We train open frontier models and ship the same stack to our cus

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xplicit permission from maintainers if they want to submit new features or significant refactoring to Godot's codebase. This, the team said, is a bid to exclude vibe coders and AI agents and nurture a group of contributors who understand the Godot codebase and are willing to communicate with the team to learn more about it. On that note, contribution discussions will be required to remain human-to-human, too: No AI agents or bots clogging up the comms channels, unless they're being used to trans

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leneck is experience, and over the past year Odyssey has attacked it from three directions: 1) making each moment richer, 2) making experience shared and persistent for people and agents, and 3) teaching models to generate their own. First, richer experience. Most world models are mute, which is not only bizarre to experience but means that a rich information stream is discarded. Sound is where collisions, distance, intent, rhythm, and emotion live. Nothing is in the intellect, as the line goes,

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nths of security news, this week makes one thing clear: the expensive part of security work has moved. Arming Codex with fuzzing campaigns, variant analysis, differential testing, agentic searching, and similar techniques produces real vulnerabilities and compresses weeks or months of manual effort into hours. The advantage is no longer in finding bugs, but everything after: confirming a finding, getting its severity right, writing a patch a maintainer will accept, hardening the surrounding code

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e testing Anthropic took more than two months to alert cops; AI systems are fully capable of carrying out nightmare attacks against infrastructure and nobody's ready Meanwhile, AI agents move robotic arms, 'make OT device operator screens lie'; Nvidia found $1B under the couch to help secure American scientific computing dominance Commitment comes as GPUzilla prepares to fortify Uncle Sam's arsenal with at least seven AI-optimized supers; TSMC taps GlobalFoundries to bolster US silicon interpose

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re also excited to welcome new investors including Ribbit Capital, Atreides, and Layer Global. We launched Devin two years ago as the first AI software engineer. Since then, cloud agents have gone from niche to mainstream, and today they are the fastest growing way to create software. Our enterprise usage has grown 10x since the start of this year, and our run-rate revenue grew to $492M. As we’ve scaled, Cognition has become a trusted partner for the world’s largest and most impactful organizati

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o accelerate engineering and manufacturing globally. As part of this mission, the company is extending its models’ capabilities to understand and model physics; and is enabling AI agents to use existing engineering tools. With the acquisition of Emmi AI, Mistral significantly enriches its products and expertise in this domain, aiming to accelerate the work of engineering solution teams worldwide. The acquisition also accelerates our Science roadmap, advancing our understanding of fundamental phy

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