The infrastructure advantage is crazy: → ROCK handles 10,000+ concurrent sandboxed environments
→ ROLL does async train-rollout multiplexing
→ iFlow CLI ensures training-deployment consistency Most labs are trying to train agents without this foundation. It won't work.
SOFTWARE
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Infrastructure Advantage in AI Development
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Building the ecosystem before the model
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They didn't just train a model. They built the ENTIRE ecosystem first. → ROLL: RL training framework
→ ROCK: Sandboxed execution engine
→ iFlow CLI: Agent orchestration system ROME wasn't built in a day. The infrastructure came first. The model came last. -
18 Areas Shaping Future Data Processing Health and Communication
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Looking ahead, tomorrow's 18 areas could influence how we consume and process data, approach health and wellness, and interact and communicate with one another. Source @McKinsey_MGI Link https://
mck.co/44qUnCa via @antgrasso #DigitalTransformation #BusinessStrategy #AI -
Tesla Customer Demonstrates Autonomous Drive Software in Production Release
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Haha yes. At one point I thought Tesla might do the drive, possibly with a slightly tuned version of the software etc. A customer deciding to do it with their own car and production release of the software is the right way, very happy it turned out this way.
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Tesla FSD V14.2 Completes First Fully Autonomous Coast-to-Coast Drive
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The first 100% autonomous coast-to-coast drive on Tesla FSD V14.2! 2 days 20 hours, 2732 miles, zero interventions. This one is special because the coast-to-coast drive was a major goal for the autopilot team from the start. A lot of hours were spent in marathon clip review
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Agent-Native Software Architecture: The Future of AI-Driven Development
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Here are my 2026 predictions for how AI will change software:
— Dan Shipper 📧 (@danshipper) 31 décembre 2025
– An agent-native software architecture. Most new software will just be Claude Code in a trench coat—new features are just buttons that activate prompts to an underlying general agent.
– Designers get superpowers—and… pic.twitter.com/uxUtkDWDvtHere are my 2026 predictions for how AI will change software: – An agent-native software architecture. Most new software will just be Claude Code in a trench coat—new features are just buttons that activate prompts to an underlying general agent.
– Designers get superpowers—and -
Axelera AI announces 2026 roadmap for edge AI systems
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🎆 Happy New Year from Axelera AI 🎆
— Axelera AI (@AxeleraAI) 31 décembre 2025
2025 was just the beginning.
To everyone building, experimenting, deploying, and dreaming at the edge! Thank you for being part of this journey.
In 2026, we go further. Smarter systems, stronger partnerships, and even more powerful tools to… pic.twitter.com/2VQiQCrtoAHappy New Year from Axelera AI 2025 was just the beginning. To everyone building, experimenting, deploying, and dreaming at the edge! Thank you for being part of this journey. In 2026, we go further. Smarter systems, stronger partnerships, and even more powerful tools to
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Meta Acquires Manus; SoftBank Completes $40B OpenAI Investment
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Top stories in AI today: – Meta acquires Manus for $2B+
– SoftBank completes $40B OpenAI investment
– Design better websites with Cursor’s new editor
– Satya Nadella's AI outlook for 2026
– 4 new AI tools, community workflows, and more Read more: https://
therundown.ai/p/metas-next-b
ig-ai-bet-manus
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Top 14 AI Tools of 2025 and Their Uses
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My top 14 AI tools of 2025 (and how I actually use each one): 1. Claude Opus 4.5 + Skills → builds apps, writes copy, runs my business
2. GPT-5.2 Pro → complex reasoning and strategy
3. Gemini 3 Pro Deep Research → 50-page reports in minutes
4. NotebookLM → learns from 20 -
Step-by-Step App Development with Claude
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Step 8: Let Claude build it for you Take your idea. Write a simple PRD (product requirements doc). Prompt: "My idea: [IDEA]. Turn my idea into a detailed technical specification with features, user flows, and architecture." Then: "Build this application step by step." Claude