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AI News

2123

SpaceX seeks $40B financing, led by Apollo, to buy Nvidia chips

SpaceX is seeking to raise about $40 billion to buy Nvidia chips in a financing led by Apollo Global Management, the Financial Times reported, with the deal expected to close in 2027 and consist of roughly $10 billion in bank loans and $30 billion in investment-grade bonds; Pimco is among the lenders in talks. Musk said previously that SpaceX has decided to build entirely on Nvidia technology, calling the Vera Rubin architecture the best AI platform. SpaceX, Nvidia, Apollo and Pimco did not immediately respond to requests for comment.

The Information·
229

Microsoft and Nvidia to unveil Surface Laptop Ultra for local AI

Microsoft CEO Satya Nadella and Nvidia CEO Jensen Huang are expected to present the Surface Laptop Ultra in San Francisco on Wednesday. The laptop is built around Nvidia’s RTX Spark chip and is designed to run AI agents locally, but its price, release date and final availability have not been announced.

The Next Web·
2317

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.

科技新报·
2431

i-have-adhd skill makes coding agents lead with the answer

The GitHub project ayghri/i-have-adhd offers a skill/plugin that claims to stop coding assistants from burying the answer: lead with the next action, number multi-step tasks, restate state every turn, end with one concrete next step, and suppress preamble and closers, with 10 rules listed in SKILL.md. Its README's before/after example contrasts a "Great question! Let me think about this..." explanation with direct instructions such as "Edit src/auth.ts:42" and "Run npm test -- auth.spec.ts." The project is MIT-licensed; the author says it is loosely based on The Adult ADHD Tool Kit by J. Russell Ramsay and Anthony L. Rostain, adapted for how an LLM should respond rather than how a person organizes their day, and users can fork it and edit SKILL.md.

GitHub Trending(每日)·
2525

Meta, Sierra and partners launch Personal Agent Protocol for AI agent commerce

Enterprise AI startup Sierra said on Oct. 6 that it is developing the Personal Agent Protocol (PAP) with Meta and companies including Walmart, Shopify and Stripe — an open standard governing how user-authorized personal AI agents access businesses' websites, APIs and services. Sierra co-founder Bret Taylor said the protocol is designed to handle authentication, empower consumers and give companies visibility into what personal agents do through their sites, APIs or company agents, and that it is open for anyone to implement; Meta's David Singleton compared it to email as a universal standard. The move follows Amazon blocking Meta's Muse agent from its retail site and reports of agents hitting anti-bot blocks on other retail sites, where users often cannot tell whether a block is intentional or accidental.

CNBC Technology·
2628

Google releases Nano Banana 2.1 image model, halving output prices

Google released Nano Banana 2.1, an image generation and editing model built on Gemini 3.6 Flash, adding mask-based local editing and stronger subject consistency — up to 14 reference images, keeping four characters and ten objects consistent — plus Google Search grounding and minimal/medium/high thinking levels. Pricing is roughly halved versus Nano Banana 2: a 1K image drops from 6.70 to 3.36 cents and a 4K image from 15.10 to 7.56 cents, while input and text/thinking output prices rise. It is available now in AI Studio (gemini-nano-banana-2.1), the Gemini app, Search AI Mode, Flow and other surfaces, and the Nano Banana 2 API retires on October 29. The Decoder notes 2.1 beats Nano Banana Pro on some benchmarks, but Pro often still produces better images in practice.

Google AI Studio·
278

Musk says Tesla and SpaceX will build and operate Terafab

Elon Musk said the Terafab AI chip factory planned by Tesla and SpaceX will be built and operated by the companies, rejecting reports that TSMC would take that role. He said TSMC could potentially sublease part of the facility, while Intel CEO Lip-Bu Tan said Intel remains part of the project.

科技新报·
2813

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.

GitHub Trending · Python·
2912

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.

GitHub Trending · Python·
3011

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.

GitHub Trending · Python·
3111

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.

GitHub Trending · Python·
3210

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.

TechCrunch AI·
3310

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.

DoNews·
3410

Microsoft and OpenAI sued by multiple US newspaper groups over AI training

DoNews reports that several US newspaper groups have sued Microsoft and OpenAI, alleging their copyrighted content was used without authorization to train AI. The report does not name the plaintiffs, the court, the damages sought, or the case status.

DoNews·
359

Meta brings Muse AI agent to iPad, adds business connectors

Meta's agentic app Muse, which has spent several weeks as the #1 free iPhone app on the U.S. App Store, now has an iPad version alongside new connectors for Asana, Canva, Dropbox, Figma, QuickBooks, GitHub, Klaviyo, Zoom and Meta ad accounts, plus everyday tools such as Granola and Notion. According to 9to5Mac, Meta says users can give Muse a business goal and it will plan marketing content, build client pitches and spin up product pages, all with user approval. Muse launched for iPhone in September 2026, gained a Mac version days later, and is free on the App Store for iPhone and iPad.

9to5Mac·
368

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.

科技新报·
379

Stacklok's Mecatl: a Kubernetes-style cloud-native harness for agents

Stacklok, founded by Kubernetes creators Craig McLuckie and Joe Beda, pivoted from software supply chain security to Kubernetes-based agentic infrastructure. Its open source “cloud-native harness” Mecatl, started in June, separates the agent loop from tool execution, session management and memory; the companion open source project ToolHive runs and governs MCP servers on Kubernetes. The company says its AI Gateway is not yet open sourced but is on the roadmap, with an “enterprise spine” control plane as the commercial product.

Latent Space·
389

Google prepares Antigravity for Gemini 4 Argon and a Concierge voice agent

TestingCatalog spotted new labels in Google's Antigravity coding app around usage limits, subscription tiers and prompts to upgrade to Google AI Ultra, plus UTM links carrying an "argon_model_selector" campaign parameter — suggesting Ultra subscribers may get Gemini 4 Argon first. Per Google's September 30 announcement, Argon already powers internal workflows and reportedly scores 77.9% on DeepSWE v1.1 for longer software-engineering tasks, with rollout starting from trusted cyber defenders to paid API customers and Ultra subscribers. Also found in development: an internal agent prototype called Concierge with real-time voice, an Auto mode that may reduce permission prompts, and UI skins — none with a confirmed release timeline.

TestingCatalog·
399

Ex-Tesla Optimus AI lead launches industrial robot startup Intelligent Machines

Ashish Kumar, a former AI lead for Tesla's Optimus humanoid robots, has co-founded Intelligent Machines, a San Francisco startup building non-humanoid robots for tasks normally done by highly skilled workers in manufacturing and aerospace, according to The Information, citing two people with direct knowledge. The company has hired several former members of Tesla's Optimus team and is raising a seed round that could end up around $100 million. It currently focuses on robot software, using reinforcement learning to teach complex tasks, though its leaders have discussed designing hardware as well.

The Information·
409

Kore.ai launches Autoloop to keep optimizing enterprise AI agents after go-live

Kore.ai introduced Autoloop, an optimization engine for agents built on its Kore.ai Agent Platform: customers set goals such as task completion, adherence to business rules, cost and accuracy, and Autoloop adjusts the agents automatically, including after deployment. It drafts each agent from a company's existing operating procedures, then uses Kore.ai's StateTrace evaluation layer to spot goal misses against the full production record and Agent Blueprint Language to rewrite only the responsible part. Autoloop is available now to customers on the platform's Artemis edition.

SiliconANGLE AI·