The Drive AI launched a business-focused AI agent that can organize, find, create, and automate work across company file services using plain-English instructions. It is launching today and is described as the 5th launch from The Drive AI. It adds an approval step where the agent shows a plan before making changes, with edits that can be undone.
OpenCode 2.0 was released after its public beta, adding a shared background service that connects the terminal, web, and desktop apps through a rebuilt API plus new SDK and background execution features for subagents and shell commands. The update uses a keyboard shortcut to move a foreground task into the background when it runs long. Developers must upgrade manually (for example via opencode upgrade --major or /update), and OpenCode 1.0 plugins and older server-API integrations won’t work without changes.
Epic Games is reportedly shifting its Walt Disney collaboration for a shooter to an “AI first” model where AI writes code and guides artwork. Bloomberg reports the Epic-Disney deal was originally set to ship in March 2027, but the project has been delayed indefinitely. Human developers will move to managing and guiding AI-generated code and art assets instead of hand-written code.
Toby launched as an AI voice-agent service that pastes a job description, then researches the company, runs a Meet/Teams/Zoom-style interview, and produces a scored debrief. Pricing is 50p a minute per call, with the first 5 minutes free. Users can choose “real mode” to run interviews straight through or “coach mode” to get feedback and retry.
Agent37 launched low-cost sandboxes for running AI agents and says they run at under 10% of most sandbox providers’ costs. New customers average $0.37/month per sandbox, and the infrastructure cost for free-tier sandboxes is about $0.05 to $0.10 per user per month. The company is now offering a free plan, with over 90% of new signups using it.
The post shows how to deploy decision models using llama.cpp on Amazon SageMaker AI, including an OpenAI-compatible text-generation endpoint and an optional SemIf extension for structured option probabilities. It benchmarks SemIf on 231 JevBench tasks and reports the GPU endpoint is 32.2 times faster at p95 than the CPU setup. As a result, you can route requests over a fixed set of options using probability outputs without generating an answer token, and choose CPU for seconds-level latency or GPU for tighter tail latency.
Honeyjar is building AI tools that automate PR and communications workflows, aiming to let companies and individuals use PR professionals’ judgment without replacing them.
Graylark Technologies’ Raven tool lets law enforcement upload a single interior photo and rapidly match it to a specific property by linking visual clues to online rental listings. The demo described geolocating interior images across millions of short-term rental units worldwide. Access is shifting toward government and enterprise users as the tool expands from outdoor-geolocation markers to inside-the-home address leads tied to platforms like Airbnb, Zillow, and Vrbo.
Sam Altman said building a startup that used to take 3 months can now be done in 17 minutes with OpenAI’s Codex. He made the claim during an onstage conversation in Chapel Hill, N.C., reported by IANS. He argues that founders will use the time saved to pursue bigger projects and that countries should adopt AI to stay competitive, not outsource key tasks like finding customers or handling regulation.
Ambi, founded by former Plaud executive Peter Mo, launched an AI app that listens to users continuously to provide real-time meeting insights and proactive suggestions across iPhone, Mac, and Apple Watch. It raised $26 million in funding led by Luminous Ventures on Monday. The product adds ambient listening options with the intent to do parts of work during meetings and later expand via a desktop memory feature and planned hardware, while privacy controls depend on user disclosures.
daily.dev launched its 7th release, adding support for “your agent” so AI coding assistants and MCP clients can access personalized feeds and saved bookmarks. It’s launching today. Developers can connect tools like Claude, Cursor, or Codex to read the feeds, search posts, and use the platform’s new plugin marketplace and apps ecosystem.
Meta released its Muse AI agent after delaying it for months over safety concerns. The change came after Instinct’s AI agent showed success and only a few safety hiccups were reported. Meta moved forward with the launch despite those earlier concerns, to avoid falling behind competitors.
OpenScreen v2 was released as a free, open-source screen recorder and video editor that turns raw screen recordings into polished demos with built-in styling and layout tools. The offline transcription uses a 264 MB Whisper model that downloads once on first run. Recording, zoom placement, captions, and rendering run locally so the output can be edited and exported without uploading video or accounts.
Qualcomm CEO Cristiano Amon argued that AI agents using apps and personal context will prompt a smartphone upgrade cycle. He expects AI requests for at least 100-billion-parameter models on phones by 2028, with smart glasses positioned as the largest AI wearable category. As a result, Qualcomm plans to push energy-efficient AI hardware plus the Modular software platform to reduce lock-in, while banking on 6G for constant high-definition video and other context-aware use cases.
Tesla’s Digital Optimus agent can now play about halfway through Diablo’s campaign by looking at the screen like a human, according to Elon Musk. Musk said the progress was shared on October 10, 2026, and he added that Counter-Strike skills are strong while League of Legends training is ongoing. The update shifts the agent toward broader cross-game generalization rather than relying on game-internal access alone.
Manus, the AI agent startup, raised more than $500 million after Beijing blocked Meta from buying it. The funding round brought in over $500 million (about €445 million), led by Boyu Capital and IDG Capital. The company says it will keep hiring and is also reportedly considering an IPO in Hong Kong.
Klarent, founded by former Google engineers, raised $8M to automate enterprise software testing with AI agents that write and reuse deterministic test code rather than run it during application execution. Mosaic Ventures led the seed round, while Klarent’s agents support about 3,500 tests per day for a customer and a human-in-the-loop checks each result. The funding will be used mainly to expand its US and UK sales teams and grow engineering, increasing headcount beyond its current 25 employees.
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