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AI
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HELIOS-002 AI Agent Benchmark Run Shows Energy Compute Resilience Results
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HELIOS‑002 ran GitHub Actions success Public GitHub Pages scoreboard updated Source docket exists Reusable capability under test: EnergyComputeResilienceCompiler‑v0 Task count: 8 Transfer task count: 5 Replay passes: 8 B6 beats B5 count: 5 Mean
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AI Chips in the Cloud Displacing x86 Dominance
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I predicted in a Barron’s article back in 2015 that the semiconductor renaissance would lead to lots of AI chips running in the cloud that would dispense with the dominance of x86. That is coming more finely into focus with the proliferation of Google’s TPU and Amazon AWS’s
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Beijing Humanoid Robots Race to Break 1-Hour Half Marathon
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Beijing’s Humanoid #Robot Race: Can Machines Break the 1-Hour Half Marathon?
— Ronald van Loon (@Ronald_vanLoon) 30 avril 2026
by @XRoboHub#Robotics #EmergingTech #Technology #Innovation pic.twitter.com/NGHOe92S1vBeijing’s Humanoid #Robot Race: Can Machines Break the 1-Hour Half Marathon?
by @XRoboHub #Robotics #EmergingTech #Technology #Innovation -
Open Design: Free Clone of Claude Design, Unlimited
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Han clonado Claude Design y puedes usarlo gratis y sin limites.
— Nico (@nicos_ai) 30 avril 2026
Se llama Open Design, un proyecto open source que te deja usar Claude para workflows de diseño sin pagar.
Sin suscripciones.
Sin límites (como la versión oficial).
Acceso total.
Esto es lo que puedes hacer:
—… pic.twitter.com/ND12hKrQUrThey have cloned Claude Design and you can use it for free and without limits. It's called Open Design, an open source project that lets you use Claude for design workflows without paying. No subscriptions.
No limits (like the official version).
Full access. Here's what you can do: — -
Anthropic Valuation Soars 15x to $900B in 12 Months
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Anthropic vaulation $61.5b -> $900b (15x) in ~12 Months. Read that again. Twelve months ago, Anthropic was valued at $61.5 billion, and now investors are lining up to hand the company $50 billion in fresh capital at a valuation approaching $900 billion, a nearly 15x jump in a
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AI Agents Levels From Rule-Based to Autonomous Execution
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AI agents have levels 1. Rule-based (if-then automation) 2. Tool-using assistants 3. Strategic multi-step agents 4. Context-aware autonomous agents 5. Superintelligent digital personas (theoretical AGI) We’re moving from “AI that responds” → to “AI that executes
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Humanoid Robots in Logistics: Promise and Real-World Challenges
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Google ReasoningBank Gives AI Agents Persistent Memory from Experience
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Google just made AI agents learn from experience like humans do. The new framework is called ReasoningBank. Instead of retraining models, it gives agents a memory layer. Every task run gets distilled into a short strategy card. Successes become playbooks. Failures become