AI News

Miro CEO: companies must redesign work around AI, not bolt it on

Miro co-founder and CEO Andrey Khusid said at the Wave by Vento event in Turin that layering AI onto existing teams and operating systems will not deliver the expected productivity gains; companies should instead design the workflow from first principles and then add humans to create value on top. He said Miro set up parallel teams doing the same work with AI, built the process around them and then scaled it across the company, and warned that flooding a team with AI output overwhelms and slows it down, so each person must own what they bring. The remarks came about a month after Bending Spoons agreed to buy Miro for $1.355bn, a deal expected to close in the fourth quarter subject to approvals; Bending Spoons says Miro has about $600m in annual recurring revenue.

TThe Next Web·1h

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DoorDash CEO Tony Xu: AI agents will increase demand for human labour

DoorDash co-founder and CEO Tony Xu said at Wave by Vento in Turin that AI agents have probably already overtaken humans in the number of things they do on the internet, and that because they favour recurring tasks with a physical component — shopping, eating, picking up or returning items — more agents will mean more demand for physical delivery networks and for human labour. He pointed to DoorDash's ordering agent launched inside Apple Messages in September, its Dot delivery robot now running in Phoenix (which he said has made live deliveries to tens of thousands of customers) and its drone system unveiled in September. Xu said the most important piece is the platform behind them, which decides for each order whether a land robot, a drone or a human Dasher takes it — and a person and a robot can share one route.

TThe Next Web·1h

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Nvidia unveils DGX Station for Windows, a desktop AI supercomputer with up to 748GB memory

Nvidia announced DGX Station for Windows at a San Francisco event, positioning it as a desktop AI supercomputer shipping in Q4 2026. It packs an NVIDIA GB300 Grace Blackwell Ultra Desktop Superchip with a 72-core Grace CPU, a Blackwell Ultra GPU and up to 748GB of unified memory (252GB HBM3e plus 496GB LPDDR5X), with up to 20 PFLOPS of AI compute — enough, Nvidia says, to run models of roughly 1 trillion parameters. The machine draws up to 1,600W and needs a 20A circuit, and is aimed at developers, researchers and data science teams doing local fine-tuning, inference and agent development.

IIT之家 AI·9h

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Infor expands Industry AI with industry-specific agents and guardrails

At Infor Velocity Week, Infor detailed Industry AI — not a single product but an architecture embedded across its applications on the Infor OS foundation and open to customers' wider data — with agents built for industries including industrial manufacturing, aerospace and defense, automotive, and food and beverage. Its 2026.10 release adds guardrails through security and scopes, alongside human review, observability and audit trails; Infor says forward-deployed engineers can cut prototype-to-production to as little as one to three weeks. Infor's own research says two in three businesses find off-the-shelf AI inadequate for their industry's needs.

SSiliconANGLE AI·2h

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Report: Anthropic taps Broadcom, Samsung for 2nm custom AI chip

Anthropic is reportedly pursuing a custom AI accelerator designed by Broadcom and manufactured by Samsung's foundry on its SF2 2nm process, with an initial run said to be around 200,000 units. Rumored specs include roughly 4,000 TOPS INT8, about 1,300W TDP and 192GB of HBM3E (possibly 288GB), but Anthropic, Samsung and Broadcom have not publicly confirmed the arrangement or any of those figures. Anthropic has previously confirmed an internal chip team designing custom silicon for Claude, while saying its infrastructure will keep using AWS Trainium, Google TPU and NVIDIA GPUs, and has announced expanded Google and Broadcom partnerships for multi-gigawatt TPU capacity starting in 2027.

ccnBeta·2h

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OpenMontage ships as open-source agentic video production system

OpenMontage has appeared on GitHub as a self-described first open-source, agentic video production system, bundling 12 production pipelines, 100+ tools and 700+ agent skill and production-knowledge files. It plugs into AI coding assistants such as Claude Code, Cursor, Copilot, Windsurf and Codex, letting an agent handle research, scripting, asset generation, editing and rendering using tools including Remotion, Blender, FFmpeg and Piper TTS. A local Backlot board turns the asset-generation contact sheet into an approval gate before the final render.

GGitHub Trending · Python·5h

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Cognee ships v1.6.1 with Google Drive, Gmail connectors and graph visualization

Cognee is an open-source AI memory platform that gives agents persistent long-term memory across sessions, turning documents, code and conversations into a self-hosted, searchable knowledge graph that can run locally with small models and no cloud LLM key. Per its release notes, v1.6.1 (September 24) bundles Google Drive and Gmail OAuth connectors into the SDK, streams visualization of large graphs in chunks, and moves the GLiNER installer off the event loop; v1.6.0 supports keyless memory building and retrieval. The project reports BEAM conversational-memory scores of 0.79 at 100K tokens and 0.67 at 10M tokens, while noting the two settings use different conversations, ingestion models and retrieval procedures.

GGitHub Trending · Python·5h

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Boston Dynamics appoints former Amazon AI leader Rohit Prasad as CEO

Boston Dynamics has appointed former Amazon executive Rohit Prasad as CEO, effective October 7, succeeding Robert Playter, who stepped down in February. Prasad previously led Alexa and Amazon’s general artificial intelligence organization and oversaw development of the Amazon Nova foundation-model family.

科科技新报·12h

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NVIDIA DSX Air pairs digital twins with AI agents to validate AI factory changes

An NVIDIA technical blog describes using the node-based NVIDIA DSX Air digital twin to validate supported configurations and software integrations for AI factories before hardware arrives. Agents can query the twin, run configuration, security and compliance checks, compare results against organizational policy and return evidence-backed recommendations inside a governed automation loop with human-in-the-loop gates. NVIDIA Brev supplies on-demand GPU compute attached to the twin, and the NVIDIA AI Blueprint for Video Search and Summarization is used as an example of agent-orchestrated video analysis, retrieval-augmented knowledge and report generation routed to systems such as Jira.

NNVIDIA Technical Blog·3h

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Google signs 20-year nuclear power deal with Constellation

Google signed a 20-year power purchase agreement with Constellation Energy to support 890MW of new nuclear generating capacity by uprating six existing plants. Constellation expects to invest more than $4.3 billion in the program, with the first uprated plant due online in 2028 and the full 890MW delivered by the end of 2032. Google said the deal brings its total enabled new nuclear capacity in the US to over 1.5GW; the report notes the power is not exclusively destined for Google's data centers but will support their expansion.

TTechRadar·3h

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Anthropic open-sources knowledge-work plugins for Claude Cowork

Anthropic has open-sourced a set of role-based plugins on GitHub, with an initial 11 covering sales, customer support, product management, marketing, legal, finance, data, enterprise search and bio-research. Built for Claude Cowork and also compatible with Claude Code, each plugin bundles skills, connectors, slash commands and sub-agents as plain markdown and JSON files with no code, infrastructure or build steps. Teams can swap connectors, add company terminology and processes, or write new plugins following the same structure.

GGitHub Trending · Python·5h

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Japanese book wholesaler Nippan admits selling bulk books to Anthropic

According to publishing-industry sources, Nippan Group Holdings — parent of major Japanese book wholesaler Nippan — confirmed in a letter to the Japan Book Publishers Association that it sold a large quantity of books to US AI company Anthropic. The transaction was reportedly confirmed recently. Neither the letter nor the report disclosed the number of books, the value or the intended use.

ccnBeta·3h

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OpenAI launches Decisions API offering ~10x faster evaluations, trims API tiers to three

OpenAI announced the Decisions API on its API platform, which evaluates text, images or both and is said to run about ten times faster than the Responses API. It is in public beta and currently supports only gpt-6-luna, priced at $0.10 per million input tokens with output tokens free, returning yes/no probabilities, picks from predefined categories, or scale-based ratings. OpenAI also cut its paid API tiers from five to three—Build, Launch and Grow—with monthly usage limits of $500, $5,000 and $200,000.

TThe Decoder·3h

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Pentagon's Tradewinds uses 5-minute videos to speed AI 'kill chain' buys

Tradewinds, a procurement marketplace run by the Pentagon's Chief Digital and Artificial Intelligence Office (CDAO), lets companies submit product videos of no more than five minutes describing how their AI offerings address periodically updated "strategic focus areas"; a panel reviews submissions at least monthly, and accepted products gain "post-competitive" status that makes it easier to buy them via vehicles such as Other Transaction agreements. A DOD official says some awards have been made in under a week, and OpenAI, Anthropic and Google are all listed as participants. WIRED reports that 2026 topics seek AI that can "enhance force lethality" and "unleash" AI-enabled agents for joint targeting, including so-called kill chain execution, while earlier pitches on a "culture of responsible AI" and guardrails are no longer sought.

WWIRED AI·3h

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Rapid-MLX: open-source LLM server for Apple Silicon tops GitHub Trending

Rapid-MLX is an Apache-2.0 local LLM inference server built on MLX for Apple Silicon, exposing both OpenAI (/v1/chat/completions, /v1/responses) and Anthropic Messages (/v1/messages) APIs and focusing on reliable tool calling for coding agents. The project claims up to 4× faster decoding than Apple's mlx-lm on identical weights: a 1.50× median across 18 streaming tasks with Qwen3.5-9B 4-bit on an M4 Pro Mac mini, and up to 4.27× on a whole-file code edit (46.4 to 198.4 tok/s), plus 3.0× Ollama's aggregate decode at 8 concurrent streams on Qwen3.6-35B-A3B. All figures are the project's own measurements, and much of its comparison table is drawn from other projects' own documentation.

GGitHub Trending · Python·5h

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Tony Fadell on why the first wave of AI gadgets failed

Speaking at MIT Future Fest, Tony Fadell — credited with the iPod, the iPhone and as founder of Nest — said the first wave of AI hardware (Rabbit R1, Humane AI Pin, Limitless pendant) failed because it “didn’t meet any kind of need” and was just interesting technology for geeks. He argued trust and safety are paramount for a personal AI assistant, noting Meta’s Muse had a serious vulnerability found soon after launch, and that Apple has the hardware, chips and privacy credibility but no world-class model of its own — the new Siri AI runs on custom versions of Google’s Gemini. He predicted a successful agent will have to run on-device only, for privacy and to stay lightweight.

TTechCrunch AI·4h

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Kuaishou forms enterprise AI productivity unit; Yu Yue named Kling AI CEO

DoNews reports that Kuaishou has set up a virtual organization called "Enterprise AI Productivity" to build its office foundation, general-purpose agents and information systems in a unified way. The report also says Cheng Yixiao will concurrently lead the community science line, while Yu Yue moves to become CEO of Kling AI.

DDoNews·4h

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Applied Materials and Intel Expand Collaboration on AI Chip Manufacturing

Applied Materials and Intel announced a collaboration at Applied Materials’ EPIC Center and Intel’s Hillsboro research campus to advance transistor, interconnect, and advanced packaging technologies for AI computing. The work includes materials and process development for advanced logic nodes, interconnect scaling, and packaging for Intel’s Foveros 3D stacking; the companies say it is intended to accelerate the path from research to U.S. production.

科科技新报·12h

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