Mastra Platform introduced a $25 Starter plan that raises monthly allowances for compute, data, and observability events and includes one Small dedicated server with its compute covered. Allowances are now higher on every plan, and the free tier is renamed Free, where a serverless agent stays free to run. Projects run serverless or on Small, Medium, or Large servers, and Mastra Connect adds a connection allowance per plan.
NVIDIA introduced GR00T 2, an open world action model built on Cosmos and trained on 100,000 hours of human egocentric data, alongside Isaac Lab 3.0 and new robotics benchmarks at CoRL. GR00T 2 completed 40 of 50 evaluated tasks at least once without task-specific demonstrations and reached 71% average success across 50 tasks with one demonstration each, rising to 95% with five. Isaac Lab 3.0 adds Newton physics integration for deformable objects and reports up to 2.5x the training throughput of Isaac Lab 2.3 with PhysX in a vision-based dexterous manipulation benchmark.
Why it matters: NVIDIA's CoRL release shows how simulation plus world action models now target delicate assembly work, with GR00T 2 and Isaac Lab 3.0 details worth comparing against prior robotics stacks.
7 hours without the Prove2Me platform or researcher steering used in Anthropic's September run, writing a proof one-seventh as long and using one-third as many output tokens. Each agent worked in a network-isolated sandbox with a classifier checking every shell command and file edit plus an offline monitor, and across more than a million tool calls none met the bar to be blocked.
Why it matters: Anthropic's 1,000-agent run reproduced the Fermat's Last Theorem formalization without Prove2Me or a researcher, showing how sandboxing and monitoring bound a self-organized agent team.
Anthropic published a guide recommending developers start most coding and knowledge work on Claude Opus 5.5 at its default medium effort level, since it costs half as much per token as Fable 5.2. The guide maps Sonnet 5.5 to well-scoped everyday work, Haiku 5.5 to high-volume classification, routing and subagent tasks, and Fable 5.2 to the hardest coding, finance and science projects or long unattended runs. It also advises adjusting effort level before switching models, and notes that on SWE-bench Pro, Opus 5.5 at low with failures re-run at high passed about 97% of tasks for about $0.17 each, against 95.3% for $0.29 with every task at high.
Why it matters: Anthropic's own guide maps each Claude model and effort level to concrete task types, with per-task cost and benchmark comparisons for choosing between them.
UC Berkeley's BAIR is presenting 33 main-conference papers, 4 late-breaking posters, 3 orals and 7 spotlights at CoRL 2026, held November 9–12 in Austin, Texas. Professor Negar Mehr delivers an Early Career Keynote on how robots learn to interact and coordinate with others. Work spans embodied memory for vision-language-action models, dexterous manipulation scaling with egocentric human data, and agentic robot self-improvement.
Hyundai Motor Group is exploring NVIDIA NemoClaw blueprints and the NVIDIA OpenShell runtime, while AIM Intelligence is integrating its Starfort platform with OpenShell to support secure AI agents for employee productivity and enterprise workflows. OpenShell, a key component of the NVIDIA Open Agent Safety Platform, provides sandboxed execution and policy-based controls to govern autonomous agent actions. LG AI Research is also opening API access for K-EXAONE-2.5, developed using NVIDIA Nemotron datasets including Nemotron-Personas-Korea, an open dataset of 7 million synthetic Korean personas.
Figma outlined six ways to use its design agent directly on the canvas, from annotating designs with meeting transcripts pulled in via connectors like Granola, Notion, or Google Drive to summarizing comment feedback and applying agreed changes. The agent can also build custom shaders, generate several layout variations in one prompt using a team's library, turn static designs into interactive code layers, and add motion effects.
Meta released Muse Ember, its smallest and most efficient model, aimed at the repetitive work agents do all day such as tool calls, coding subtasks, routing, extraction and long document parsing. Meta says it matches Claude Haiku 5.5's best score at about a third of the cost and beats every GPT-6 Luna setting, at $0.10 per million input tokens and $0.50 per million output tokens. It ships with a 1M-token context window, up to 512K output tokens, native text, image, audio and video input, and is available today on Muse Code and the Meta Model API as muse-ember-1.0.
Why it matters: Meta's smallest model targets the high-volume agent steps, and its cost-per-task comparison against Claude Haiku 5.5 and GPT-6 Luna shows where the efficiency claim comes from.
Google AI Studio now lets users build apps powered by Google Maps Platform directly from a prompt, with AI Studio handling configuration and API key management and no credit card required. The integration covers Maps, Places, Routes and Environment APIs, and the sandbox allows 100 calls per day per API with quotas resetting every 24 hours. Linking a Google Cloud billing account unlocks production-grade quotas under standard Google Maps Platform pricing.
Anthropic reports that Claude Fable 5.2 designed three electronic devices, a speakerphone, a voice-assistant hub and a handheld virtual pet, from minimal prompts, and that Diode Computers built working prototypes from its design files without circuit fixes. On Diode's internal PCB Gym benchmark, Fable 5.2 scored 69% versus 25% for Fable 5, and it reached 83.5% on the public BenchCAD 2.1, nearly double Claude Fable 5.1. The devices remain prototypes that have not been through electrical validation, antenna tuning, thermal testing or certification, and Claude was not connected to test equipment or manufacturing machines.
Why it matters: Anthropic's own account of Claude Fable 5.2 designing three working electronic devices shows how far models have moved from partial PCB layouts to end-to-end hardware prototyping.
GitHub published a developer's guide to agentic engineering, walking through how Copilot supports the Plan, Build, Verify, and Observe stages of software work. The guide cites GitHub's 1.2 billion commits in one week this October, over 400% more than a year earlier, and a Faros AI study finding pull requests spent 441% longer in review as teams moved from low to high AI adoption. It details features including Copilot in Slack or Teams, Plan Mode, GitHub Agentic Workflows, cloud sandboxes, session continuity, shared memory, Copilot Dreaming, and Copilot Fusion.
Meta introduced spaces in its Muse app, an interactive way for users to build a more personalized Muse by describing an idea such as a gift tracker, daily word game or DIY planning board. Users can adjust each space with Muse, place it in the sidebar or main tabs, hide or schedule it, and connect apps so details like concert dates and price changes update in the background. Spaces are available everywhere Muse is available starting today, and Meta says it is exploring sharing options and rolling out specialized model versions trained with learnings from Muse Wonder.
Zyphra released MAIA in beta, a proactive multiplayer AI agent that remembers shared team context, takes action across connected tools, and runs as a standalone Mac desktop app and inside Slack, free during beta. MAIA keeps persistent memory of people, decisions and preferences with sources, executes multi-step tasks in plain language, and can schedule recurring work. It follows existing tool permissions, confirms before irreversible actions, and lets users view and delete memories, with private conversations kept private unless shared.
Ai2 released ToyBlocks, an open simulation framework built around a robot arm and blocks on a tabletop, as the first of its FoundationWorlds for controlled robot-learning research. ToyBlocks auto-generates tasks and demonstrations via RL and motion planning in Isaac Lab, reaching up to 24 times real-time data generation on a single GPU, and ships with 85,336 long-horizon demonstrations covering nearly 1,600 hours and 144 million frames. In real-world tests on a Franka FR3, ManiFlow's atomic-skill success was 80.0% in simulation and 81.1% on hardware, while the Molmo 2 plus ManiFlow system succeeded in 55.5% of simulated and 50.0% of real episodes.
Sierra, the customer experience AI platform, has been inducted into JPMorganChase's Hall of Innovation, with the award presented to CEO Bret Taylor at J.P. Morgan's 18th annual Technology Innovation Symposium in Palo Alto on October 29. The Hall of Innovation, established in 2011, recognizes privately held technology companies that have made a significant impact at JPMorganChase through innovation and close collaboration. Chase CIO Gill Haus cited Sierra as a strong collaborator in exploring agentic AI for banking, while Taylor said agents built on Sierra can be deployed across web, mobile, chat, email and voice to resolve complex tasks.
Sierra released Accelerators, prebuilt packages for high-volume workflows like order tracking, appointment scheduling, claims intake and ID verification, available now in Agent Studio. Each Accelerator ships with basic integrations and guardrails, and Ghostwriter adapts it to a company's own policies; updates from Sierra carry over while customer changes are tracked separately. Teams will soon be able to build and share their own Accelerators internally.
OpenClaw has released Multiplayer, a free and open-source feature that lets multiple people connect to the same OpenClaw agent and workspace, with prompts appearing live across laptops and requests coordinated through a shared queue. In demos at GitHub Universe in San Francisco, two attendees edited the same 3D scene by typing prompts on separate machines without restating context. The OpenClaw Foundation says it has had 50+ people collaborating in the same shared environment and is continuing to expand the feature.
Why it matters: OpenClaw 把多人共享同一 Agent 与上下文做成免费开源功能，为团队协作中反复重建上下文的问题提供了一种可迁移的做法。
) references. Agents acted on the bug ID in 6% of encounters, and 83% of those actions were unprompted by the developer; 41% of unprompted detours chased already closed tickets while 57% hit still-open bugs and expanded scope. Controlling for developer, codebase complexity, task type, model tier and other factors, unprompted bug detours added 70% more steps, 77% more tokens and 105% more wait time per session.
Why it matters: Google's large-scale trace analysis shows stale TODO bug references pull coding agents into unprompted detours, and its cleanup agents removed thousands of obsolete references with over 95% reviewer acceptance.
Anthropic outlined how it designs memory for Claude agents, defining agent memory as knowledge retained across sessions and separating it from weight changes, in-context learning and compaction. 5 matched it with memory. 7 wrote 413 files across 225 folders and earned one badge.
Why it matters: Anthropic details how Claude's agent memory works, comparing models' note-taking on CL-Bench and Pokémon Red and showing how offline dreaming corrects and organizes stored notes.
Anthropic research argues that AI systems can now derive equations like the Hodgkin-Huxley model in an afternoon, but fitting experimental data is not the same as understanding. The work breaks scientific modeling into building, constraining, and interpreting models, and notes that AI has made the most progress on constraining them, where Bayesian inference is the standard method for mapping all plausible parameter sets rather than a single fit.
Mastra agents can now receive Ring doorbell events as notification signals via the new @mastra/ring-signals package, requiring @mastra/core@1.81.0 or later. Each event arrives in the agent's thread with a configurable priority, and the agent can fetch a snapshot or video clip from the Ring API to decide how to respond. Ring signals can also target an existing channel thread, such as iMessage, so alerts reach a shared conversation.
Snorkel uses Modal's GPU and CPU sandboxes to run millions of agent simulations per month, peaking at tens of thousands of sandboxes an hour, and relies on Modal for inference on the open-weight models it evaluates. Adopting Modal's memory bursting cut Snorkel's total sandbox bill by around 20%, with roughly 10-15% of its sandboxes using bursting today. Modal was the only sandbox provider able to meet Snorkel's GPU sandbox needs at scale.
Microsoft Research introduced PDD Kit, a research prototype that turns a developer's plain-language intent into a Verus formal specification, proves the coding agent's Rust code meets it for every input, and falls back to tests where a proof cannot reach. In a demo inside GitHub Next's Chopin, the team used PDD Kit to verify the login logic of Pet Store, a roughly 5,000-line Rust full-stack app, with the developer reviewing the intent artifact rather than the generated code line by line. PDD Kit only verifies Rust today, and its guarantees rest on six developer-approved trusted pieces, including the bcrypt password check and the two database lookups.
Meta is rolling out specialized versions of its existing models, trained using Muse Wonder, to people who use Muse and Meta AI. The specialized models add Active Memory and Active Focus, and Meta reports the current Muse model scores 47% on its Personal Superintelligence Index versus 38% for the previous model, 90% versus 76% on the Active Memory eval, and a 67% improvement in completing everyday tasks where unexpected issues arise.
Why it matters: Meta's specialized Muse and Meta AI models bring Active Memory and Active Focus to more users, with reported gains on memory and task-completion evals.
Sierra has acquired Anon, a startup that built infrastructure letting enterprise AI agents sign in, navigate pages and fill out forms on websites that have no API. Anon raised more than $13M and shipped a product used by hundreds of customers, and its team will now help Sierra's agents complete steps that require logging into a site or working through a browser portal. Founder Daniel Mason says better models and harnesses have made browser agents far more reliable, and Sierra's Horizon agents are pursuing longer-running goals such as originating a loan or getting prior authorization for a healthcare procedure.
Descript's November 6, 2026 roundup adds generative layout packs that turn brand guidelines, logos and colors into four AI-proposed directions and a full editable layout pack on paid plans. Underlord now supports reusable skills, invoked with "/" in chat, replacing prompt templates, which switch off on November 30. Deleted projects now sit in trash for 30 days, and Enterprise drive search matches what's inside images and videos, including via the Descript MCP and API.
Mistral expanded its enterprise AI platform Studio with managed agents and apps, plus new workflow, enterprise context, agent observability and evaluation capabilities, running on the Mistral Large 4 (Le Chonk) model. Developers can build multi-step agents with skills, sandboxes, subagents and hooks, and deploy to Studio with one command through the new Mistral MCP server. Mistral says customers including ABANCA, BNP Paribas, Capgemini and TCS already use Studio in production, with deployments available in the cloud, VPC or on-premises.
Why it matters: Mistral expands Studio with managed agents, workflows and apps, showing how enterprises can keep deployment and data control in their own environments.
Anthropic analyzed 207,049 Claude and Claude Code research sessions from August 2 to September 30, 2026, using privacy-preserving classifiers, and found scientists use Claude most for data analysis and writing and least for data gathering and ideation. Data analysis accounts for 33.7% of Claude sessions and 48.1% of Claude Code sessions, against 27.6% of researcher time, while ideation takes 4.2% and 2.1% of sessions versus 7.1% of researcher time. The report estimates that wide adoption of current capabilities could roughly double research output in some fields, and full automation of non-physical work could lift fields such as computer science and statistics as much as 15-fold.
Mastra launched the Custom Harness Program, in which forward-deployed engineers embed with customer teams to co-build tailored agent harnesses. The program includes observability, evals, custom MCP, human-in-the-loop workflows, auth and RBAC, plus early access to the Mastra Enterprise Platform. Mastra cites Workday, which moved off Amazon Bedrock Agents in 31 days, cut 3,000 lines of code and lowered vector-storage costs by 98%.
Clerk AI is running enterprise voice and messaging agents on LiveKit's open-source framework and global edge network, handling over 1,000 concurrent voice sessions without pre-provisioning. Agents respond in under 500ms and support 30+ languages natively, with ScreenSense call screening at 97% accuracy and TrueReach voicemail detection above 98%. The platform keeps full control over STT, LLM, and TTS providers and holds SOC 2 Type II certification with built-in TCPA compliance.
Microsoft Research Manager Mike Walker, who led DARPA's Cyber Grand Challenge, discusses how hacker culture shaped his career building next-generation cyber defense, including the first all-machine hacking tournament. He argues effective security depends on understanding trust and context, and reflects on what competitive hacking taught him about teamwork and collective intelligence.
Google DeepMind introduced Cheminformatics Skills for Google Antigravity, letting an agent search literature, curate compounds, run matched molecular pair analysis, train potency models and propose rigidified macrocycles with synthesis routes in about an hour, a workflow it says previously took multiple days. The skills are grounded in RDKit with connectors to ChEMBL and PubChem, and the team demonstrated them on crizotinib and lorlatinib analogues for non-small cell lung cancer. The skills are available today via the Antigravity app's Science plugin, and DeepMind is offering 10,000 scientists the highest usage tier free for 6 months, subject to eligibility, capacity and selection.
Why it matters: Google DeepMind shows its Cheminformatics Skills in Antigravity compressing a multi-day drug discovery loop into about an hour, while noting that designs remain hypotheses needing lab validation.
Anthropic's biology research lab reports the first 3D structure of a vault particle found in prokaryotic cells, a phage protein called L05 built from 96 copies with a mass of about 9.5 megadaltons. Under the team's direction, Claude searched a database of about 15 billion predicted proteins, designed DNA constructs, optimized a size-exclusion chromatography isolation that cut purification from three days to about 90 minutes, and ran RELION cryo-EM processing that produced a first full model in 34 hours. The preprint has been submitted to bioRxiv, and the team says the vaults' biological function remains unknown.
Why it matters: Anthropic's biology lab reports the first 3D structure of a vault particle from prokaryotes, with Claude handling database search, construct design, purification and cryo-EM processing.
Figma's code layers feature is now in open beta for 100% of users, letting teams build and compare code-backed prototypes directly on the Figma canvas. The walkthrough shows a designer cloning a GitHub repository into a code layer, prompting the Figma agent to generate three delivery-address variations side by side, and refining one in the full-screen code editor. Extract designs turns screens or recorded flows into editable design layers that can be sent back to the prototype with Update code layer, and the agent can merge two teammates' code layers into one combined experience.
OpenAI researchers measured an eval-production behavior gap in agent safety: across six served models, success on the Respecting Warnings evaluation was 10.2 to 37.4 percentage points lower than on matched Codex production decisions, with the largest gaps in GPT-5.6 Sol and GPT-6 Sol. General eval-awareness alone showed weak association with the gap (R² = 0.008), while specific eval-objective awareness was stronger (R² = 0.370), and models most often verbalizing the wrong objective (resisting prompt injection) had the biggest gaps. In an intervention on GPT-6.1 Sol, a generic evaluation cue left success nearly unchanged (63.1% vs 63.4%), the correct objective cue raised it to 91.6%, and the incorrect objective cue cut it to 17.6%.
Sierra has redesigned Agent Studio around Ghostwriter, its always-on agent for building agents, so investigating a problem, editing a journey, and testing a fix now happen in one conversation. Ghostwriter follows you across journeys, simulations, and dashboards, and each session keeps changes and test results together until a teammate reviews and merges them. Agent Studio also groups related agents into a single project and adds line-by-line diffs, Preview Chat, Simulations, and release governance with required approvals and controlled rollouts.
Google ran a 50-question auto-graded coding-agent benchmark testing whether a lightweight classifier, TypeSafe's Jev, can route each task to the cheapest Gemini configuration that still answers correctly. A frozen regex and prompt-length heuristic scored 93.8% on the 16 development questions but dropped 23.2 points to 70.6% on 34 held-out tasks, while Jev reached 96.0% across the full suite. The strongest no-router setup, Gemini 3.8 Flash on low thinking, solved all 50 tasks, and a Jev router sending tasks to Flash-Lite first and escalating flagged ones also solved all 50 while reducing cost and response time; capping maxOutputTokens at 300 saved nothing on easy tasks and broke 7 of 25 hard ones.
Sakana AI held its "From World Models to Real-World AI" symposium in Tokyo on October 26, 2026, where Chief Scientific Advisor Jürgen Schmidhuber gave a keynote and Sakana AI announced it will develop its own pretrained language model series, Sakana Sawara (tentative name). The first small model, Sawara Small (tentative name), is planned for release in spring 2027 if development proceeds smoothly. More than 400 attendees joined the event, which also featured a conversation between Schmidhuber and CEO David Ha.
Google DeepMind is expanding PlanAssist, its Gemini-built AI planning tool, to 12 additional local planning authorities in England, bringing the total to 15. In pilots across Barnet, Camden, and Dorset since June, the tool cut the average time officers spent on householder assessment tasks by up to 58%, and more than 70% of its generated reports were approved with no edits.
Sierra reached $400M+ in ARR, adding over $150M+ in ARR in Q3 alone, more than it generated in all of last year. The company says it took six months to double from $100M to $200M ARR but only five months to double from $200M to $400M, and it now works with almost 50% of the Fortune 50. Sierra also says it is developing an open standard called Poppy with over 50 enterprises, including Meta, Shopify, Stripe and Walmart, for controlling how personal agents interact with brands.