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  • Context Layer: The Core of Enterprise AI Stack Architecture

    By

    @langchain

    –

    One of the core things we’re going to have to contend with in AI is that even the most advanced models in the word can’t have all the relevant knowledge needed to be useful, because everyone has different use-cases and ways they’ve designed their workflows. Perhaps most importantly, as you get into the enterprise, everyone has entirely different access levels to corporate knowledge and information. Continual learning at the model layer, even at a single enterprise level, is near impossible because every user knows and has access to something different than another user. This isn’t like coding where by and large most developers can access all the relevant stuff to their job. On a single banking team, bankers have entirely different sets of documents they’re ever allowed to see. Sanitizing this is hard and having the model keep secrets is impossible. This is why the context layer is going to always be the core part of the AI stack for applied use cases to turn general models turn into useful agents. Can’t fight the physics on this one. Harrison Chase (@hwchase17) x.com/i/article/204046441296… — https://nitter.net/hwchase17/status/2040467997022884194#m

    → View original post on X — @langchain, 2026-04-05 04:40 UTC

  • GDP-B: Measuring Digital Economy Value and Free Goods

    By

    @erikbryn

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    Yep. Here's an attempt to address that issue: GDP-B: Accounting for the Value of New and Free Goods in the Digital Economy
    The welfare contributions of the digital economy, characterized by the proliferation of new and free goods, are not well-measured in our current national

    → View original post on X — @erikbryn

  • One-Person Billion Dollar Companies: The AI-Powered Future

    By

    @ceobillionaire

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    THE ONE PERSON $1B COMPANY ERA IS STARTING TO LOOK REAL. One founder, six AI departments, and zero employees sounds insane until you realize the whole stack is already here.

    → View original post on X — @ceobillionaire, 2026-04-05 03:15 UTC

  • Commission-Based Trading: Ethics and User Protection

    By

    @anndylian

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    Earn thru commission is a decent living. If they trade against their users, it not decent

    → View original post on X — @anndylian

  • Warehouse Automation Using Robotics and AI Technology
    Warehouse Automation Using Robotics and AI Technology

    By

    @ronald_vanloon

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    How to #Automate Your #Warehouse with #Robotics
    by @antgrasso #Robots #RPA #ArtificialIntelligence #Innovation #Technology

    → View original post on X — @ronald_vanloon

  • AI Tools Transform Family Healthcare Decision-Making During Crisis

    By

    @jeremyphoward

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    This isn’t an edge case. From anonymized U.S. ChatGPT data, we are seeing: • ~2M weekly messages on health insurance • ~600K weekly messages from people living in “hospital deserts” (30 min drive to nearest hospital) • 7 out of 10 msgs happen outside clinic hours Simon Smith (@_simonsmith) I’ve been critical of OpenAI lately, but for the past three weeks my family has been dealing with a health issue with my dad, and a ChatGPT shared project with live document syncing has been essential to organizing and understanding everything happening. Me, my four siblings, my mom, and my dad have faced an onslaught of information from various doctors and nurses, which we’ve captured in hundreds of text messages and documents and scans and you name it. ChatGPT has helped us collect this information in a single place, make sense of it, and interrogate it to make the most informed decisions possible. Also, credit where due: Claude played an important role as well, by ingesting iMessages and synthesizing summarizes from them to upload to ChatGPT, as well as by extracting text from a bunch of HEIC document scans. I think those of us, like me, excited at AI’s potential get frustrated when we can see issues so clearly, like ChatGPT’s bad design skills, and Claude’s increasing instability and confusing usage consumption. But at times like this I’m reminded of how incredible this technology already is, letting me and my family make sense and act on hundreds of pieces of information, empowering us in the face of a disjointed and fragmented healthcare system. — https://nitter.net/_simonsmith/status/2040539824034115676#m

    → View original post on X — @jeremyphoward, 2026-04-05 01:43 UTC

  • Sakana AI: CEO David Ha and COO Ren Ito Share Vision in Zaikai

    By

    @sakanaailabs

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    An interview article featuring Sakana AI CEO David Ha and COO Ren Ito has been published in the business magazine Zaikai. https://www.zaikai.jp/articles/detail/6206 They discuss the "AI × Industry" strategy, which focuses on implementing AI across various Japanese industries including the financial sector, and the vision of the two co-founders as they challenge the world as a Japan-based AI company. David:
    "I believe it's important to become a company that becomes a topic of conversation globally, where people around the world say 'Does Japan really have such an interesting company?' and appears in global discussions. We are gathering talented researchers, engineers, and other skilled personnel from both domestically and internationally here in Japan. We're recruiting world-class talent that can compete globally and conducting business here in Japan. We're also challenging ourselves to bring a global breeze to Japan's ecosystem." Ren Ito:
    "Finance alone or AI alone is insufficient. It truly must be a multiplication of 'finance × AI'. The concept of treating such AI as 'soft power' is important. Whether the AI created by Japan will be something that countries around the world want to 'use'. Right now, in this age of AI, the question 'which country's technology do we choose?' is being asked anew. It hasn't been decided yet between the US and China alone. What matters is whether Japan can propose AI that is tailored to each individual country." The article also touches on why David, a former Google researcher, and Ito, a former diplomat, both decided to launch an AI startup in Japan. Please read the full article. [Translated from EN to English]

    → View original post on X — @sakanaailabs, 2026-04-05 00:12 UTC

  • Critical Human Moments in AI-Driven Customer Experience

    By

    @craigbrownphd

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    Human Moments That Matter in an AI‑Driven Customer Experience gartner.com/en/podcasts/thinkcast [Translated from EN to English]

    → View original post on X — @craigbrownphd, 2026-04-05 00:01 UTC

  • Is Early Adoption Enough for Business Model Viability?

    By

    @anndylian

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    If it’s about being early only, then the biz model is broken Agree?

    → View original post on X — @anndylian

  • Microsoft 365 Connectors Limited: Read-Only Access Insufficient for Task Automation
    Microsoft 365 Connectors Limited: Read-Only Access Insufficient for Task Automation

    By

    @alliekmiller

    –

    My hot take is that this is only a 15% productivity gain for M365 users. M365 read connectors are a great start. As is Claude computer use for windows. But computer use is too slow (on purpose) for actual inbox triage. And this connector only really has Read access. So yes it can access and search and read and gather and synthesize and analyze…but that’s not TASK completion in these tools. That doesnt let me delegate any email management to my AI system. Give me the power to manage, edit, write, draft, send, and then we can talk. MSFT is clearly dipping its toes in the Anthropic waters more. Here’s to hoping they crack enterprise-secure actions beyond search, find, and read. Claude (@claudeai) Microsoft 365 connectors are now available on every Claude plan. Connect Outlook, OneDrive, and SharePoint to bring your email, docs, and files into the conversation. Get started here: claude.ai/customize/connecto… — https://nitter.net/claudeai/status/2040086268562842097#m

    → View original post on X — @alliekmiller, 2026-04-04 23:06 UTC