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  2. @completeskeptic
    AI score18

    Diogo Almeida uses Jev in parallel for visual explanations

    Diogo Almeida says he is experimenting with Jev's parallel capabilities to create visual explanations for novel patterns. He cited the Jev "line-by-line search" pattern introduced by Allie the Icon: put the entire document into state, then ask a question for each line or paragraph, which is suitable for finding the line most relevant to a query; use nouls when you expect only one dominant answer, and use scores when you want to highlight lines by overall relevance.

    Quoted postAllie the Icon · @allietheicon

    One of my favorite Jev patterns is "line-by-line search", where you put an entire document in state, and ask a question for each line (or paragraph). This is super useful when you want to find the most relevant line for a query. Use nouls when you expect one dominate answer, use scores when you want to highlight lines by overall relevance. The former is good for answering a specific question while the latter is good for finding all relevant passages.

    #English text is being prepared.

  3. ManusFirst-party
    AI score41

    Manus says it built the entire company Bricklane

    Manus reposted user Natalie's post and emphasized: Manus didn't just build a website—it built the entire company: an interactive website, 3D brick building, piece-by-piece build verification, Stripe, domain, email, launch video, social posts, and ads. Natalie said she used Manus to turn real places or a child's drawings into custom LEGO sets, going from domain to first order in just 2 days.

    Quoted postNatalie 🇸🇬 · @gr00vyfairy

    Manus is paying me to run my own startup 🧱 I turn real places, or ones from a kid's drawing, into custom LEGO sets. @ManusAI built the whole thing: site, 3D builds, brick checks, Stripe, domain, email, launch video. I just clicked verify! Domain to first order in 2 days 👇 https://t.co/USeF0APJ6T

    Same story · 6 reports

    #Product updates#Agents#Multimodal

  4. ManusFirst-party
    AI score50

    Manus showcases Bricklane: turning stories into brick models

    Manus introduces Bricklane: it selects a location from the user's story, designs a custom model, and delivers a 3D building website plus a PDF instruction manual with a CSV parts list, making it easy for users to purchase parts individually and turn a memory into a physical keepsake. Manus says it didn't just build a website—it built an entire company: an interactive website, 3D brick building, piece-by-piece build verification, Stripe, domain, email, launch video, social posts, and ads. The thread showcases several cases, such as Villa de Verano in Hillsborough, California (566 pieces, 13 steps), a candy shop from a childhood drawing (742 pieces, 19 steps), a ramen shop in Gion, Kyoto (759 pieces, 10 steps), and the Temperate House at Kew Gardens, London (709 pieces, 10 steps).

    Same story · 6 reports

    #Product updates#Agents

  6. ManusFirst-party
    AI score43

    Manus showcases a Bricklane building-block model case

    Manus posted to showcase a building-block model generated by Bricklane: a candy shop from a childhood drawing, featuring a slide inside, with 742 blocks and 19 building steps; clicking the story marker makes the walls transparent, revealing the interior slide. The post is part of Manus's series introducing Bricklane, which can design locations from stories into custom models and generate 3D building sites and PDF manuals with CSV parts lists.

    Same story · 6 reports

    #Product updates#Agents

  7. ManusFirst-party
    AI score20

    Manus showcases Bricklane custom brick cases

    Manus showcased several Bricklane cases in a tweet: a user provides a story scenario, Bricklane designs a custom model, and delivers a 3D building website and a PDF instruction manual with a CSV parts list. This main post introduces a ramen shop with only eight seats in Gion, Kyoto, totaling 759 bricks and 10 steps, with each step linked to the corresponding page of the manual, and story pins marking details such as the corner seat, the red lantern, and the umbrella lent by the shop owner.

    Same story · 6 reports

    #Product updates#Agents#Multimodal

  8. ManusFirst-party
    AI score15

    Manus showcases Bricklane building-block model cases

    Manus showcased several building-block model cases generated by Bricklane in a tweet; the latest example is the Temperate House at Kew Gardens in London, with 709 blocks and 10 steps, from the lawn base to the floral arches and glass roof. Bricklane can design locations from a user's story into custom models and generate a 3D building website and a PDF instruction manual with a CSV parts list.

    Same story · 6 reports

    #Product updates#Agents

  13. Dex Horthy
    AI score18

    Dex Horthy reflects on his 2024 judgment of model capabilities

    Dex Horthy looks back at his 2024 claim that models are better at collecting, formatting, summarizing, and passing along context than at writing code and doing math, and now finds that statement a bit foolish. He points out that models are already solving Millennium Prize problems and cloning Redis, while for most people the worst part of the day has become reading unreviewed, lengthy AI-generated Slack messages and documents.

    #English text is being prepared.#English text is being prepared.

  15. Dex Horthy
    AI score23

    dex responds to the delete-the-wiki argument: documentation summaries are only necessary when they speed things up without reducing quality

    dex said he cannot endorse the "$32 million paper," but agrees with the distinction between "codebases for humans" and "codebases for agents." He believes that documentation or summaries compressed by directory hierarchy are only necessary when they speed things up without reducing quality; otherwise, the simpler approach is to accept a slight loss of speed and read from the source every time. He also pointed out that if the codebase is closed-source, documentation such as mintlify can serve as a "primary source" for users' agent integrations.

    Quoted postjacob · @jsnnsa

    No. We've got to stop applying old human-centric patterns to working in the new era. delete all your wikis. have an agent answer questions from source instead. at spawn we have: - zero dashboard tools - zero docs - we do not make or use summaries everything we do is primary sources + intelligence Nothing to go stale Nothing to organize Nothing to navigate Always exactly up to date Perfectly personalized The answers get better with every model If we want to see a chart, we ask for it, and we have it in a minute If we want an answer to a question, we ask it, and we have a to-the-minute correct answer

    #English text is being prepared.#Agents#English text is being prepared.

  17. Arthur MenschModel releases
    AI score72

    Mistral AI opens the Le Chonk model weights

    Mistral AI announced the open release of the model weights for a new version of Le Chonk, saying it advances the open frontier in agentic coding and cybersecurity. The model ranks first among open models on Cognition's FrontierCode and sets a new benchmark for Pareto efficiency on Artificial Analysis; on cybersecurity it claims state-of-the-art, having been tested by vendors including CrowdStrike, Cloudflare, Rubrik, and Zscaler. The weights can be downloaded on Hugging Face and customized and deployed with Mistral Forge. Arthur Mensch reposted and said progress over recent weeks has been good, and now the weights are open.

    Quoted postMistral AI · @MistralAI

    Today, we release the weights of a new and improved Le Chonk, advancing the open frontier for agentic coding and cybersecurity. 💻 Built to build: Le Chonk ranks #1 on @cognition’s FrontierCode among open models, and sets a new benchmark for Pareto efficiency on @artificialanalysis. 🛡 Built to defend: State-of-the-art in cyberdefense, put through the paces by the world's leading cyber vendors, including @CrowdStrike, @cloudflare, @rubrik, @zscaler, and others. Built for sovereignty: Make it yours. Download the weights on @huggingface , customize it with Mistral Forge, and deploy it wherever you need it. Read more from our team and customers 👇:

    #English text is being prepared.#Model releases#Agents

  19. Alex Heath
    AI score37

    Shopify CEO Tobi on How Personal AI Agents Will Make Money

    Shopify CEO Tobi Lütke believes that monetizing personal AI agents won't rely on a 2% transaction cut, but will enter an era of "basis points." He proposes a "reverse money test": users are willing to pay an increasingly higher price to stop using their own Muse. The monetization method could be backend meter-style billing, or a cut of transaction volume, or both; he isn't worried, because there's a lot of room for agents to help people save money.

    Quoted postAlex Heath · @alexeheath

    Tobi Lütke on the AI agent revolution and future of Shopify @tobi on where agent commerce is headed, sci-fi becoming reality, and his GPU wine cellar. Why did Amazon block Meta's Muse but Shopify welcomed it? I sit down with Tobi in Toronto to discuss why the companies are taking different approaches to agents and how shopping changes when AI starts buying things on your behalf. He explains the early AI shopping behavior he’s seeing. We also get into why he thinks AI makes starting a business easier, the backlash against the technology, and why everyone will eventually have to embrace it to get ahead in their careers. We get into how AI agents will make money, who pays when they handle a purchase, and why advertising gets complicated when your assistant is supposed to work for you. We discuss his experience on Meta’s board and working with Mark Zuckerberg. Lütke also shares why he turned his wine cellar into a GPU server rack and how he uses his personal AI agent that runs entirely from his house. This is one of my favorite pods I've ever done. Timestamps: 00:00 Amazon blocks Muse 02:40 Shopify's approach to AI agents 07:00 How AI agents will change shopping 11:05 Sci-fi and tech optimism 17:57 Zero-sum thinking vs. abundance 21:20 AI backlash and the founder advantage 45:28 Building an AI-first Shopify 52:18 Who profits from agentic commerce? 01:03:22 How Shopify stays ahead 01:10:39 Advertising and discovery in the agent era 01:16:02 Rack, Cellar, and Claw Links: Spotify: https://t.co/dEn15RrP7B Substack: https://t.co/JxkbohU0qz YouTube: https://t.co/2DTtOZ64yN Apple Podcasts: https://t.co/fEI7x7IzlD This episode's presenting sponsor is @hyperagentapp Thanks to the show’s premiere sponsors: @Atlassian, @meetgranola, and @mercury

    #English text is being prepared.#Agents

  20. Alex Heath
    AI score18

    Alex Heath shares the Sources podcast guest lineup for the past two months

    Alex Heath listed the Sources podcast guest lineup for the past two months, including Sam Altman, Mark Zuckerberg, Marc Benioff, Satya Nadella, Sundar Pichai, Tobi Lütke, Vlad Tenev, as well as the CEOs of Qualcomm, Baseten, and Factory, and the co-founder of Reflection. The post responds to anu's remark that "people pay more attention to the podcast guest lineup than to the podcast itself."

    Quoted postanu · @anuatluru

    fyi people are watching the podcast lineups more than they're watching the podcasts

    #Industry news