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  • Call out now part of pi’s documentation
    Call out now part of pi’s documentation

    Call out now also part of pi's docs. Just do it. Mario Zechner (@badlogicgames) People who like sharing agent traces. I've just published all my pi-mono coding agent sessions on @huggingface so you get to laugh at or pwn me! huggingface.co/datasets/badl… I suggest you do the same, see thread below. Let's make this a community effort. Here's pi-share-hf: github.com/badlogic/pi-share… If you are working on tools that help identify PII/sensitive data, get in touch. The better the classification is, the more willing people will be to share their traces. — https://nitter.net/badlogicgames/status/2041151967695634619#m

    → View original post on X — @clementdelangue, 2026-04-06 14:56 UTC

  • Morphic Workflows: Automated Video Creation from Single Image

    Holy sh*t. Dropping one image in and watching it automatically predict 9 scenes, upscale every frame, animate them, and stitch together a compiled video  🤯 @Morphic just dropped ‘Workflows’. You bring the image. It handles everything after.
 Following closely 👀 Jaynti Kanani (JD) (@jdkanani) Introducing Workflows on @morphic. You know what you want, you just don’t know how to prompt for it. That’s what Workflows solve. Storyboarding? Three clicks. UGC ads? No prompting. Color grade? In seconds. Try now: morphic.com/workflows Live with 72 workflows today. More coming soon. With Workflows, you can capture repeatable creative tasks and reuse them without starting from scratch. Just select your assets and options while running a workflow. Minimal prompts required. And no nodes, of course. There’s a workflow for everything: filmmaking, social media, animation, fashion, marketing, and some just to have fun. Tag someone who'd make something wild with this. Here are my 5 favorite workflows: — https://nitter.net/jdkanani/status/2041154028034490867#m

    → View original post on X — @datachaz, 2026-04-06 14:54 UTC

  • Link shared by LearnOpenCV on April 6 2026

    x.com/i/article/204116630164… [Translated from EN to English]

    → View original post on X — @learnopencv, 2026-04-06 14:54 UTC

  • Strategic management and alignment of AI agentic stacks

    Commonalities: high ability agents are expensive, low ability/high error agents are cheap, so delegation needs to be strategic, you actually need to align incentives throughout the agentic stack, work products are handed off between levels of the organization, process matters etc

    → View original post on X — @emollick

  • How Anthropic’s Growth Team Leverages AI and Automation

    My biggest takeaways from @AnthropicAI's Head of Growth Amol Avasare: 1. Engineering is getting the most AI leverage—and it’s squeezing PMs and designers. With Claude Code, a five-engineer team now produces the output of 15 to 20 engineers. But PM and design productivity haven’t scaled proportionally. The result is a compressed ratio where one PM is effectively managing the output of a much larger engineering team. Anthropic's growth team is responding in two ways: hiring even more PMs (!), and formally deputizing product-minded engineers to act as mini-PMs for any project with less than two weeks of engineering time. 2. Anthropic is using Claude to automate its own growth. The internal initiative is called CASH (Claude Accelerates Sustainable Hypergrowth). It works across four stages: identifying opportunities, building features, testing quality, and analyzing results. Right now it handles copy changes and minor UI tweaks. The win rate is comparable to a junior PM with two to three years of experience, and improving rapidly. 3. The one part of PM work that AI can’t automate yet: getting six people in a room to agree. Amol and his head of design joke that even with AGI, it’ll still be impossible to align six stakeholders. Cross-functional coordination—managing opinions, navigating politics, mediating tradeoffs—remains the bottleneck that AI doesn’t touch for larger projects. This is why Amol believes PM roles aren’t going away, and may actually grow. 4. 60-80% of Anthropic’s growth team's projects have no PRD. For smaller work, kickoffs happen on Slack—messages back and forth with product-minded engineers who can push back and ask the right questions. For larger projects, Amol believes in a proper 30-minute cross-functional kickoff (legal, safeguards, stakeholders) to surface concerns early. 5. Adding friction to onboarding drives growth—if the friction helps users understand why the product is for them. His work Mercury, MasterClass, Calm, and now Anthropic, adding steps to onboarding flows consistently improved conversion. The key: cut annoying friction that doesn’t add value, but add friction that helps users understand why the product is for them. 6. AI companies need to focus on bigger bets, not better A/B tests. Amol’s argument: if your core product value is driven by AI, then the future value is orders of magnitude higher than today’s value, because model capabilities grow exponentially. In that world, micro-optimizations capture a shrinking share of a growing pie. Traditional growth teams do 60% to 70% small optimizations and 20% to 30% big swings. At Anthropic, they flip this ratio. 7. Amol built a weekly AI agent that scans Slack for cross-functional misalignment. Using Cowork with the Slack MCP, he has a scheduled task that looks across his projects and conversations and surfaces areas where teams are about to do overlapping work or pull in different directions. A colleague on the enterprise team already caught major misalignment that would have caused weeks of wasted effort. 8. A traumatic brain injury taught Amol the principle that now drives his work: freedom through constraints. In early 2022, a kick to the head during a Muay Thai sparring session caused a traumatic brain injury. Amol spent nine months off work and months relearning to walk, unable to look at screens or listen to music for more than 20 seconds. He was re-injured a month after joining Mercury and had to take two more months off. He’s still not fully healed. But the constraints—no alcohol, no caffeine, mandatory breaks, daily meditation—have become the habits that let him operate at the intensity Anthropic demands. “The true freedom in life is learning how to be content when you don’t get what you want.” Lenny Rachitsky (@lennysan) Anthropic is on an unprecedented growth run. Just in the past year they grew from $1B to $19B ARR. They added $6B in ARR just in *February*. Companies like Palantir and Atlassian took 15-20 years to reach ~$5B ARR. Anthropic is adding that every month. Amol Avasare is head of growth at Anthropic, and one of the most impressive people I've had on the podcast. In his first ever public interview, Amol shares: 🔸 How Anthropic is automating growth experiments with Claude (their internal tool called “CASH”) 🔸 Why activation is the single highest-leverage growth problem in AI 🔸 Why Amol is hiring more PMs, not less 🔸 How he uses Cowork to automatically detect team misalignment in Slack 🔸 How the company’s focus on AI coding created a research flywheel that accelerated their models 🔸 How Amol landed his role by cold emailing Anthropic’s CPO @mikeyk 🔸 The brain injury that nearly ended Amol's career Listen now 👇 piped.video/k-H4nsOTuxU — https://nitter.net/lennysan/status/2040827067126907113#m

    → View original post on X — @paulroetzer, 2026-04-06 14:48 UTC

  • Poke Raises $10M at $300M Valuation, Scales on iMessage

    Poke is OpenClaw for normies. First AI product I've seen successfully scale on iMessage. Closed an unannounced $10M round at $300M from Spark in Q1. Congrats! Poke (@interaction) Starting today, personal superintelligence is just one tap away. No download, no signup. Text Poke for free now: Poke.com 🌴 — 0:00 – What's Poke? 0:50 – Introducing Poke Recipes 1:25 –  Create a Recipe in 10 seconds 1:43 – Earn on Poke 2:44 – Build with npx poke 12:58 – Recap 13:36 – Parisian Love — https://nitter.net/interaction/status/2034713714415608123#m

    → View original post on X — @scobleizer, 2026-04-06 14:47 UTC

  • AGI Jobs Will Fundamentally Transform Knowledge Work Structure
    AGI Jobs Will Fundamentally Transform Knowledge Work Structure

    AGI Jobs will alter knowledge work at the substrate level—one of those rare inflection points where the very grammar of work is rewritten. #AIAgents #AGIJobs #Jobs

    → View original post on X — @ceobillionaire, 2026-04-06 14:47 UTC

  • Sam Altman calls for new social contract amid rapid AI advancement

    JUST IN: Sam Altman says AI is advancing so fast that America needs a “new social contract”

    → View original post on X — @montreal_ai, 2026-04-06 14:46 UTC

  • Conceptualizing LLMs as humans and AI agents as organizations

    It is weird that you can approach LLMs as reasonable approximations of humans and get good results, but it is even weirder that you can approach agents as reasonable approximations of organizations (higher ability work is expensive so delegation is important, hand-offs have cost)

    → View original post on X — @emollick

  • London Food Guide: Best Spots and Places to Avoid

    Best place I know is Speedboat Bar, otherwise avoid food in Chinatown, there are almost nothing good. Dishoom is fine but beige. Other good places, Miznon, The Noodle Inn, Ye Old Cheshire Cheese for fun old pubs. Most of viral tiktok places are pretty bad too.

    → View original post on X — @petergostev