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  • AI Security Posture Management: Continuous Monitoring and Live Snapshots
    AI Security Posture Management: Continuous Monitoring and Live Snapshots

    By

    @lawrennd

    –

    Are you still relying on point-in-time security reviews for AI systems? Trent’s AI Security Posture Management gives you a live AI security posture snapshot with specialized agents that continuously: Scan → Judge → Mitigate → Evaluate You see: ✅ critical issues ✅ what to fix first ✅ remediation tasks remaining ✅ launch readiness 👉 Get your posture snapshot: trent.ai/solutions/ai-securi… Book a demo today. Launch with confidence. #AISecurity

    → View original post on X — @lawrennd, 2026-04-10 18:03 UTC

  • AI Newsletter Creator Launches Pika Self Agent for 24/7 Support

    By

    @kimmonismus

    –

    Running an AI newsletter with 225K+ readers means we can't answer every question. So we trained our @pika_labs AI Self to do it for us. It knows the industry, it knows our takes, and it's available 24/7. It goes live today 🙂 Pika (@pika_labs) 1/3 Money, money, money, moneyyyyy 💸💸💸💸 Today we’re making it possible for you to earn actual money from your Pika AI Self agent. Because we think your agent should work FOR you in every sense of the phrase. Every time someone talks with them, or uses one of their skills, you earn tokens redeemable for cash. Say goodbye to those deadbeat agents. — https://nitter.net/pika_labs/status/2042656212685328799#m

    → View original post on X — @kimmonismus, 2026-04-10 17:54 UTC

  • Builders Unscripted: Ashe and Romain Discuss AI and Human Connection

    By

    @scobleizer

    –

    Builders Unscripted with @ashebytes Ashe talked to @romainhuet about moving fast with Codex and why AI should make us more present and connected. Timestamps: 00:10 Early agents and Hearth AI
    05:43 AI and human connection
    08:44 Build in public
    12:17 Ashe's agentic workflow [Translated from EN to English]

    → View original post on X — @scobleizer, 2026-04-10 17:35 UTC

  • Earn Money From Your Pika AI Self Agent

    By

    @pika_labs

    –

    1/3 Money, money, money, moneyyyyy Today we’re making it possible for you to earn actual money from your Pika AI Self agent. Because we think your agent should work FOR you in every sense of the phrase. Every time someone talks with them, or uses one of their skills,

    → View original post on X — @pika_labs

  • 10-Step Framework for Building and Scaling AI Agents
    10-Step Framework for Building and Scaling AI Agents

    By

    @ingliguori

    –

    🤖 Building AI Agents? Start here: A practical 10-step framework 👇 ✔️ Define objectives ✔️ Structure inputs/outputs ✔️ Engineer prompts ✔️ Enable tools + reasoning ✔️ Go multi-agent ✔️ Add memory (RAG) ✔️ Extend to voice & vision ✔️ Standardize outputs ✔️ Deploy (API/UI) ✔️ Iterate & improve 💥 AI Agents = the next operating layer of business. The winners won’t be who use AI… …but who design & scale it. Where are you starting? Via @ingliguori #AI #AIAgents #GenAI

    → View original post on X — @ingliguori, 2026-04-10 17:25 UTC

  • Enterprise AI Agents at Scale: Interrupt 2026 Conference Preview
    Enterprise AI Agents at Scale: Interrupt 2026 Conference Preview

    By

    @langchain

    –

    Interrupt 2026 is back May 13–14 in San Francisco.
    This year's question: how do you make agents work at enterprise scale? Here's a preview of what's on the agenda:
    → Apple on building a low-code agent platform for 15K+ employees
    → Lyft on building evals that actually tell

    → View original post on X — @langchain

  • Different UIs for AI Agents Across Developer Workstreams

    By

    @hwchase17

    –

    i think there will probably be different UIs for different workstreams we're mostly still seeing agents for developers, so makes sense UIs are focused there unclear if UI blocks other adoption, or its just the quality of agents

    → View original post on X — @hwchase17

  • US Team Develops Framework for Safer Robot and Autonomous Vehicle Networks
    US Team Develops Framework for Safer Robot and Autonomous Vehicle Networks

    By

    @ronald_vanloon

    –

    US-led team introduces framework to make networks of #Robots, self-driving cars safer
    by Prabhat Ranjan Mishra @IntEngineering Learn more: https://
    bit.ly/4vefwex #Robotics #EmergingTech #Technology #Innovation

    → View original post on X — @ronald_vanloon

  • Claude Mythos and Cowork: Future of AI Software with Felix Rieseberg

    By

    @scobleizer

    –

    Claude Cowork, Mythos, and the Future of Software: my conversation with @felixrieseberg, who leads Cowork at @AnthropicAI 00:00 Intro 01:53 Claude Mythos Preview and the “step-function change” 06:16 Why Anthropic is treating Mythos differently 11:19 The real story behind Claude Cowork’s “10-day” build 12:42 Why Anthropic realized Claude Code needed a non-technical version 15:44 What Claude Cowork actually is 17:03 Under the hood: virtual machines, tools, skills 18:36 Where Cowork’s memory actually lives 19:26 How Cowork connects to files, apps, and the internet 20:45 Why Felix thinks the local computer is under-appreciated 24:49 Trust: how do you get users comfortable with AI agents? 28:45 What UX actually means for AI agents 31:27 Anthropic Cowork's roadmap is only one month long 34:12 Building 100 prototypes 35:10 If execution is free, what becomes the bottleneck? 37:25 Does it come down to taste? 40:12 The hardest part of building Claude Cowork 41:43 Advice for founders building AI agents 44:21 SaaSpocalypse: what’s left for software startups 49:30 Where AI agents are going next 51:20 Regulated industries and enterprise adoption 54:15 Hot takes: what's underrated, overrated, and what Felix would build today

    → View original post on X — @scobleizer, 2026-04-10 16:19 UTC

  • PetClaw: AI Desktop Pet Simplifies Agent Setup and Workflow

    By

    @scobleizer

    –

    The classic desktop pet idea has now been turned into a full AI employee. This is the kind of AI product that makes browser tabs feel like the old interface. If you’ve ever looked at OpenClaw and thought “this is cool, but I do not want setup to become the project,” @PetClaw_ai is probably the first version to achieve that. PetClaw feels like someone took the agent idea and removed half the friction. It is a local AI desktop pet built on OpenClaw that installs in 1 click, stays on your desktop, works through voice and chat, remembers context, and helps with research, planning, content, and repetitive work without turning setup into the main job. What sold me first was the setup. No API key hunt, no config mess, no “why is this broken again” loop. Install it, open it, start using it. I also like that it feels more controlled than a lot of agent demos. It runs locally by default, keeps your data on your machine unless you allow otherwise, and feels a lot less reckless than giving a random agent broad access to everything. 🧵 1. Prompt: “Create a reusable research workflow for me called ‘Agent Watch’. Every time I run it, it should find recent papers, blog posts, and launches about browser agents, summarize the important changes, rank them by technical significance, and output a clean briefing with links, a comparison table, and 3 ideas worth exploring next.”

    → View original post on X — @scobleizer, 2026-04-10 16:19 UTC