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Headlines · 5

  1. Figma launches Specs Markdown editor and opens code layers beta

    At its first Config event in India, Figma announced Figma Specs, a Markdown-based editor for defining a design language that can exist as a standalone file or on the canvas and can reference canvas elements and embed FigJam diagrams, code layers and designs. Figma also opened its code layers feature to public beta after a June private beta, said its on-canvas agent is available to more users, and is integrating Payload with Figma Make for dynamic websites and content management. The company says its MCP now supports more than 20 tools including Open Code, Dia, Grok Bot and Sarvam, and that Specs is intended to help its own and third-party agents follow brand design rules.

    TechCrunch AI · 🔥 0
  2. Developer builds 7 free open-source Adobe alternatives with Claude Opus 5.5

    Software engineer Brandon Thomas has launched ArtCraft, an open-source project that uses Anthropic's Claude Opus 5.5 and the Rust language to recreate seven Adobe Creative Cloud apps: PhotoCraft (Photoshop), LightCraft (Lightroom), VectorCraft (Illustrator), FilmCraft (Premiere Pro), EffectCraft (After Effects), DesignCraft (InDesign) and PdfCraft (Acrobat), with interfaces and workflows deliberately kept close to Adobe's. TMTPost reports the project has drawn more than 30,000 developer followers and over 100,000 likes on GitHub, and the team lead claims community feedback could bring it to roughly 99% feature parity with Adobe's software within months — a claim that remains unverified. The local editing tools are free and open source, while ArtCraft's cloud AI generation services run on credits and paid plans; reviewers at TechRadar and Creative Bloq found gaps in PhotoCraft's file-format support and saving, LightCraft's color management and masking, and FilmCraft's audio and editing. Thomas describes the code as clean-room implementations, though the similar interfaces and interaction patterns could raise intellectual-property questions.

    钛媒体 · 🔥 0
  3. Cerebras CEO pushes back on AI doomsday warnings, urges focus on upside

    Speaking at TechCrunch Disrupt 2026, Cerebras Systems CEO and co-founder Andrew Feldman pushed back on the prevailing AI doomsday narrative, quipping that "some of the leaders in the AI world maybe shouldn't be allowed to talk in public." He argued the industry is over-focused on AI risks while potential benefits are overlooked, offering the example of grandchildren who would "never meet anybody who dies of cancer." Feldman said powerful technologies inevitably raise the question of misuse and should be reasonably regulated, acknowledged that the data center industry has done a poor job engaging US local communities, and named Brazil, Canada, Finland, Iceland, Norway, Mexico and Sweden as markets more welcoming to data center construction. The report notes that Cerebras customers include OpenAI, Block, Figma, GSK and Lovable, giving Feldman a commercial stake in AI's success.

    TechCrunch AI · 🔥 0
  4. AI labs are buying data from dead startups to train their models

    MIT Technology Review reports that a new cohort of companies is selling defunct startups' digital assets to AI training buyers. SimpleClosure's Asset Hub helps founders sell code and workspace data from Google, Notion, Figma and Slack; CEO Dori Yona says it has handled more than 150 deals and expects to return over $10 million to startups by the end of 2026, with 47% of deals now including code or data sales, while rival Sunset is also growing its data resale business. The report says Google outbid data company Mercor in August in Spirit Airlines' bankruptcy, paying $10 million for about 100 million emails, 500 million Teams messages and 176,000 employee records, while firms such as Surge AI use such archives to build reinforcement-learning environments. Real archives avoid common errors in synthetic worlds, but the piece notes no company has published tests comparing real-world data training with alternatives, and pricing varies widely because valuations rest on uncertain "research theses". Privacy advocates and attorneys question the sales, and the report says proceeds typically go to senior creditors and investors rather than employees.

    MIT Technology Review AI · 🔥 0
  5. A16Z reports: AI usage is broad, but deep adoption remains concentrated

    An analysis of two Andreessen Horowitz reports argues that AI adoption is broader than its paid and intensive use would suggest. It highlights a widening gap between casual users and power users, falling token costs driving greater demand for agents, and AI infrastructure spending flowing into chips, energy, and other physical assets.

    虎嗅 AI · 🔥 0

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