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Cognition@cognitionOfficialAI score58AICognition introduces Dreaming, a feature in which Devin builds a memory graph of how a user likes to work across sessions. At night, Devin self-improves this memory by removing stale records and discovering latent information. Cognition also says it is creating an open-source standard called Agent Memory Repo, linked in the post.
Cognition@cognitionOfficialAI score8AICognition published a blog post about memory and dreaming, linking readers to the full article at devin.ai. The post itself gives no further details, so its specific claims cannot be summarized from this source alone.
Cognition@cognitionOfficialAI score33AICognition introduced Agent Memory Repo, which stores memory records as files versioned with Git. The post says this simple primitive enables uses such as a message board shared across agent sessions.
Yuchen Jin@Yuchenj_UWXAI score42AIYuchen Jin argues computer-use agents will be AI's next major battleground because many digital tools lack useful APIs, while GUIs are a universal interface nearly all software exposes. He calls Codex Desktop with Astra the best computer-use agent he has tried so far.
Liquid AI@liquidaiOfficialAI score24AILiquid AI's d1 picks the next move by reading game screenshots, without text versions of the board. In Tetris, adding the screen raised cleared lines from 70 to 81, and in Wordle it solved 12/12 games in an average of 3.8 guesses.
Nous Research@NousResearchOfficialAI score29AINous Research says Hermes Agent can handle far more than flight booking and points to a documentation page listing 326 use cases from real users. The post gives no further details about specific tasks or results.
Lewis Tunstall @ COLM 🌉@_lewtunXAI score13AILewis Tunstall reports that when Claude and Codex review each other's PRs, Claude's reviews are packed with blockers and nitpicks, while Codex usually approves with LGTM. He suggests this could mean Opus 5.5 is the strongest coder right now, or that GPT 6.1 Sol is simply more lenient.
AIUnderstanding AI's Dan Kagan-Kans examines whether multi-agent swarms could be a new scaling law after OpenAI's 10,000-agent Navier-Stokes effort. The piece cites Noam Brown saying he would not attribute 10% of the breakthrough's credit to the multi-agent approach. It also cites research suggesting swarms mainly buy speed, with a stepping-on-toes parameter between 0.5 and 0.7, while a Microsoft Research and UC Berkeley paper reports some tasks only teams could complete.
dex@dexhorthyXAI score16AIDex Horthy argues there will always be an advantage in reviewing AI output, since unreviewed work tends toward generic "AI slop." He adds that the reviewed object may not always be code, and speculates that once models far surpass humans, human interference could make results worse.
Google Antigravity@antigravityOfficialAI score8AIGoogle Antigravity directs users to a new changelog page at antigravity.google/changelog. The post provides only the link and no details about specific updates or features.
Google Antigravity@antigravityOfficialAI score23AIGoogle Antigravity has integrated the AlphaGenome Atlas Skill into its scientific workbench, enabling AI agents to help researchers prioritize genetic variants, generate structural plots, and build testable hypotheses. The company showcases researchers Natasha and Kyle using the tool in a demonstration video.
Google Workspace@GoogleWorkspaceOfficialAI score17AIGoogle Keep has new conversational voice features that use Gemini to turn voice notes into organized action items. The features are available now to Google AI Ultra and Pro subscribers.
LiveKit@livekitOfficialAI score30AILiveKit Agents pairs MAI-Transcribe-2-Streaming for speech-to-text, Gemma 4 on LiveKit Inference for reasoning and tool calls, and MAI-Voice-2.1-Flash for speech output in a demo support call. The post links separate speech-to-text and text-to-speech resources for developers.
Elad Gil@eladgilXAI score40AIEra, launched by Ofir Ehrlich's team, generates a complete simulated company spanning Salesforce, Slack, Jira, Zendesk, Gong, and Deel, plus cloud databases and storage. Agents interact with it through live MCP and API interfaces, and because Era generated the company, it knows the exact ground truth for testing and benchmarking. The post says the product is live today and free.
Cursor@cursor_aiOfficialAI score28AICursor's SDK now supports steering and system prompts for local TypeScript agents. Background subagent results are returned locally in TypeScript and Python.
Cursor@cursor_aiOfficialAI score35AICursor now supports MCP annotations such as readOnlyHint and destructiveHint on custom tools. These let the model distinguish a lookup from a delete before calling a tool.
Cursor@cursor_aiOfficialAI score38AIBackground subagents now return their results to the parent as a follow-up turn on the same run. The stream() and wait() calls carry through until every subagent finishes.
Cursor@cursor_aiOfficialAI score38AICursor announced that developers can steer Cursor SDK agents while they run using run.steer(), which adds a message to the next turn. If a subagent is mid-task, it moves to the background and continues working.
Amazon Web Services@awscloudOfficialAI score13AIAWS and F1 built an agentic AI solution that resolves critical issues up to 86% faster, letting engineers focus on development instead of logs. The post notes that each car carries 300 sensors across 24 races with zero margin for error.
Krea@krea_aiOfficialAI score30AIKrea's agent can automatically sort your layers into compositions. The post offers no further details about how the feature works or its availability.
Krea@krea_aiOfficialAI score14AIKrea announced that its agent can resize videos. The post is brief and gives no details on supported formats, aspect ratios, or availability.
Krea@krea_aiOfficialAI score14AIKrea announced that its agent can create motion graphics. The post gives no further details on how the feature works, its availability, or pricing.
Krea@krea_aiOfficialAI score32AIKrea Agent is now available inside After Effects, where it can create motion graphics, resize videos, and handle sound and images. The post says it can be tried for free.
AIResearchers Avijit Ghosh, Margaret Mitchell, and Samir Passi argue in a September 6 arXiv paper that current human-in-the-loop designs for AI agents push humans out of meaningful oversight. They say agents are tuned for speed, accuracy, and volume, overwhelming reviewers, and recommend adding friction, such as requiring users to state their own choice first, to counter automation bias and fatigue.
AIBruce Hopkins shows how to wrap an existing stock-data REST API, the Twelve Data API, in a Model Context Protocol (MCP) server so an MCP client can discover and call it. The demo uses Python with FastMCP, exposing current and historical stock-price functions as tools and resources with descriptive prompts. Developers can add an MCP interface around existing capabilities without replacing their underlying application logic.
Fireworks@FireworksAI_HQOfficialAI score34AIFireworks AI has made DeepSeek V4.1 Flash available for training on its Dedicated Training API and Managed Training surfaces. The post positions the model as a strong base for agentic coding, terminal automation, and tool use, and notes it is cost-efficient to serve.
AIA survey of 300 data, AI, and technology executives found only 34% of organizations' agentic AI projects reach production, with legacy systems, security concerns, and missing knowledge context as main obstacles. Production leaders, who advance 61% of projects beyond pilot, show stronger semantic knowledge capabilities. Most firms plan to invest in retrieval pipelines, AI-ready APIs, retrieval-augmented generation, and knowledge graphs.
Replit ⠕@ReplitOfficialAI score16AIReplit now offers a TikTok Ads MCP integration, letting users bring advertising workflows into the workspace where they build. Users connect their TikTok Ads account through Replit's integrations page to try it.
Replit ⠕@ReplitOfficialAI score22AIReplit shipped a weekly update letting users build with GPT-6.1 Sol and Claude Sonnet 5.5, along with an Ask agent integration with Jev. The release also includes an updated Settings UI and enterprise Workplace controls for company-wide rules and controlled exceptions. Full details are in the Replit changelog.
Santiago@svpinoXAI score47AISantiago shares a post about Era, a tool that generates a complete simulated company across systems such as Salesforce, Slack, Jira, and Zendesk. Agents interact with the environment through live MCP and API interfaces, and because the company is generated, its exact ground truth is known. Users can test and benchmark agents, use failures for post-training, and rerun the same environment to measure impact. The author's own text adds that the company can be reset to its initial state after a run.
Karl's AI Watts@aiwartsXAI score23AIKarl's AI Watts publishes the AI workflow he previously shared internally at Tim Studio, covering finding Skills, packaging experience into Skills, combining them into workflows, and batching and scheduling them. The post says viewers could build a local batch video-editing Skill and an end-to-end content pipeline spanning copy, posters, video, and web pages.
clem 🤗@ClementDelangueXPickAI score62AIHugging Face says a capture proxy lets reinforcement learning train open models inside unmodified coding harnesses such as Claude Code, Codex, and OpenCode. The proxy records the exact token IDs and logprobs vLLM samples and hands them to TRL for training. On LFM2.5-2.6B, training in four harnesses at once raised OpenCode results from 34% to 58%, while SFT on 3,189 Qwen3.8-27B rollouts plateaued at 47.5%.
Why it matters: The capture proxy lets models train inside real coding harnesses without reimplementing them, with measured gains and a comparison against SFT on the same data.
Guillermo Rauch@rauchgXAI score44AIGuillermo Rauch announces gdp-ts, a TypeScript library, linter and AI skill for safer API design. Under this contract, sensitive functions require proofs that the caller performed an authorization check, and the typechecker verifies those proofs at compile time. Rauch says agents now write more code than teams can review, so hard constraints matter more.
Baidu Inc.@Baidu_IncOfficialAI score13AIBaidu's latest AI Pulse edition argues that agent experiences depend on a full underlying AI stack, not just the agent itself. It examines what productivity, commerce, and industrial agents need from that stack and how those needs shape it, alongside updates on the AI, Evolving to Miaoda upgrades and the Kooko AI workspace.
Cohere@cohereOfficialAI score35AICohere's North 2 lets users create reusable agents, automations, and multi-agent orchestrations for completing tasks. Agents now retain context across sessions rather than starting fresh each time.
Cohere@cohereOfficialAI score34AICohere has introduced North 2, its biggest upgrade yet, featuring more than 15 new features. The platform targets enterprises frustrated by agentic AI tools that lack scalability, sovereignty, and enterprise-grade security.
AICloudflare announced 46 products and updates during Birthday Week 2026, including the cf CLI for the entire Cloudflare API and EmDash, an open-source Astro-based serverless CMS whose plugins run in isolated Worker sandboxes. The company also said it plans to become a public certificate authority that issues free Merkle Tree Certificates for post-quantum authentication.
AIToby Ord argues that AI agent swarms trade extra tokens for faster completion, needing about twice the total tokens of a single agent for the same performance with four agents, but in half the wall-clock time. He notes swarm scaling shows diminishing returns, with 10x agents yielding roughly 3x to 5x the performance of 10x tokens on one agent. A CSAIP poll found 61% of Americans think voluntary AI industry commitments are "not enough."
PixVerse@PixVerseOfficialAI score32AIThe PixVerse plugin enables an AI agent to generate motion graphics from a written brief. Users describe the visual elements, how they should move, and the desired timing.
AIReliable AI agent systems need deterministic policy checks, not just better prompts or stronger models, because a model's proposed action can succeed at the API level while still updating the wrong account. The article recommends separating the model's proposal from a policy service that checks actions before execution and records an audit trail. It also advises treating agent context as untrusted input, using narrow capabilities instead of broad tokens, and building in stopping rules and idempotent recovery.