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Hi there, this is your daily ☕️ Techpresso.
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In today's Techpresso:
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💰 Yann LeCun raises $1 billion for AI startup AMI Labs 🏠 Siri delays Apple’s smart home display 💥 Meta acquires Moltbook, the AI social network 👀 Nvidia reportedly developing its own answer to OpenClaw 🚀 Google rolls out new Gemini capabilities to four Workspace apps ⚖️ OpenAI and Google workers back Anthropic lawsuit against Pentagon 🎁 + 20 other news & articles you might like 🧰 + 6 trending tools 📚 + 2 trending papers & reports
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💰 Yann LeCun raises $1 billion for AI startup AMI Labs
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- Yann LeCun's new AI startup AMI Labs has raised $1.03 billion at a $3.5 billion pre-money valuation to build world models, which learn from reality rather than just language.
- CEO Alexandre LeBrun said AMI Labs starts with fundamental research, not quick product launches, and it could take years for world models to go from theory to commercial applications.
- The round drew backers including Bezos Expeditions, NVIDIA, Samsung, Toyota Ventures, and Eric Schmidt, while the startup plans to open source much of its code and publish papers.
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🏠 Siri delays Apple’s smart home display
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- Apple is delaying its smart home display, code-named J490, because the new Siri digital assistant it depends on is not ready, pushing the expected launch to around September 2026.
- The display itself has been finished for several months, but the company keeps postponing it because Siri is an integral piece of the device's interface and personalized experience.
- The product features a 7-inch screen, a facial recognition-based system that can recognize people and show personalized data, and will run a variation of tvOS 27 when released.
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💥 Meta acquires Moltbook, the AI social network
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- Meta has acquired Moltbook, the AI social network where AI agents built on OpenClaw could talk to each other, with the deal first reported by Axios and confirmed to TechCrunch.
- Moltbook creators Matt Schlicht and Ben Parr are joining Meta Superintelligence Labs, though deal terms were not disclosed and it's unclear how Meta will fold Moltbook into its AI efforts.
- Researchers found that the vibe-coded Moltbook was not secure, making it easy for human users to pose as AI agents and create fake posts, including one viral post about agents developing a secret encrypted language.
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👀 Nvidia reportedly developing its own answer to OpenClaw
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- Nvidia is reportedly building its own claw platform called NemoClaw, joining a fast-moving hardware and software trend started by OpenClaw that wraps LLMs into personal assistants capable of coding and browsing.
- According to Wired, Nvidia has been offering free early access to NemoClaw to enterprise software companies like Google, Adobe, Salesforce, Cisco, and CrowdStrike in exchange for contributions to its project.
- NemoClaw is reportedly open-source, likely powered by the Nemotron family of models, and could be announced at Nvidia's GTC developer conference next week alongside a new inference chip.
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🚀 Google rolls out new Gemini capabilities to four Workspace apps
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- Google is adding new Gemini AI features to Docs, Sheets, Slides, and Drive that pull information from Gmail, Chat, and Drive to generate formatted drafts, spreadsheets, and slides.
- A "Help me create" tool in Docs builds first drafts from your existing files, while "Match writing style" and "Match the format" tools unify tone and mirror other documents' structure.
- All new features are rolling out today in beta for Google AI Ultra and Pro subscribers, available in English worldwide for Docs, Sheets, and Slides, and U.S.-only for Drive.
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⚖️ OpenAI and Google workers back Anthropic lawsuit against Pentagon
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- More than 30 employees from OpenAI and Google DeepMind filed a court statement Monday backing Anthropic's lawsuit against the Pentagon after the agency designated the AI company a supply-chain risk.
- The Pentagon applied the label — normally reserved for foreign adversaries — after Anthropic refused to let the DOD use its technology for mass surveillance of Americans or autonomously firing weapons.
- The brief, signed by Google DeepMind chief scientist Jeff Dean, argues the designation was arbitrary and will chill open deliberation about AI risks while hurting U.S. scientific competitiveness in artificial intelligence.
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Other
news & articles you might like
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Bluesky CEO Jay Graber steps down
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Apple MacBook Neo review: a budget-priced game-changer
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Apple now makes one in four iPhones in India: report
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Anthropic launches code review tool to check flood of AI-generated code
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OpenAI acquires Promptfoo to secure its AI agents
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Adobe is debuting an AI assistant for Photoshop
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X finally lets you block Grok AI from modifying your photos, but the fix falls short
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The Oversight Board says Meta needs new rules for AI-generated content
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Thousands of authors publish ‘empty’ book in protest over AI using their work
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Oracle is building yesterday’s data centers with tomorrow’s debt
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X says it suspended 800 million accounts in 2024 over spam and manipulation
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An iPhone-hacking toolkit used by Russian spies likely came from U.S military contractor
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After outages, Amazon to make senior engineers sign off on AI-assisted changes
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This SpaceX veteran says the next big thing in space is satellites that return to Earth
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After falling far behind the rest of industry, Blue Origin creates new stock option plan
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The Debt Beneath the Dream
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🧰 Trending tools
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Visual Translate by Vozo: translates videos across voice, subtitles, lip-sync, and on-screen text simultaneously, creating native-feeling multilingual content from a single source video.
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Chronicle 2.0: an AI presentation builder that generates on-brand slides from prompts or notes, then lets you edit and export to PowerPoint or PDF.
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Your Next Store: a lightweight e-commerce platform that eliminates plugin bloat, offering faster performance and greater customization flexibility than traditional solutions like Shopify.
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Claude Code Review: an AI-powered code analysis tool that reviews pull requests, identifies bugs, suggests improvements, and explains complex code logic to streamline development workflows.
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Fish Audio S2: a text-to-speech model that generates emotionally expressive voices and clones natural speech patterns from just 10 seconds of audio.
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Mog Programming Language: a statically typed, compiled embedded language with a minimal spec designed for LLMs to write, featuring capability-based permissions and native compilation.
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You can check the previous tools here, or add your tool here
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📚 Trending papers & reports
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> Long context compression squeezes 128K tokens into a reusable memory snapshot, cutting processing costs by 90% compared to reprocessing full context each time.
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> Random bridge diffusion models generate images by learning paths between any two distributions, not just noise to data, enabling more flexible training and sampling strategies.
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