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MARKET TRENDS
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AI simulations: test business choices risk-free, boost confidence
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AI simulations help leaders test business choices before real money is at risk. By modeling customers, competitors, and market reactions, teams can compare options, find weak points, and decide with more confidence. Microblog @antgrasso
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Nvidia challenges Intel & AMD with new AI laptop chip
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#Nvidia Is Taking On #Intel and #AMD With New AI Chip for Laptops https://
youtu.be/IQVdg2FaMnQ?si
=5StY2JNQrT6SBgAx
… via @YouTube #AI #artificialintelligence #chip #AIchip #semiconductor @SpirosMargaris @PawlowskiMario @mvollmer1 @gvalan @ipfconline1 @LaurentAlaus @Shi4Tech @Fisher85M @kalydeoo -
AI Film’s High Compute Costs: $400k Before Human Pay
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Hell Grind is a 95-minute AI film from a startup trying to sell its video tool. Of the $500,000 budget, $400,000 went to compute alone. So before a single human got paid, the AI bill was already four times most people's annual salary.
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@godofprompt — 2026-06-02
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For a year, every AI account on this app has said the same thing: "Hollywood is cooked. Anyone can make a movie now." The first real AI feature film just came out. It cost $500,000. The receipts say the opposite of what they've been selling you.
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Meta’s ex-Director to keynote Rev London on evolving data science for agentic era
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Eduardo Arino de la Rubia, former Sr. Director of Data Science at @Meta
, closes Rev London on 25 June. His keynote: how the data scientist role must evolve for the agentic era. Register now:
https://
domino.buzz/4o5B9un
#Rev26 #DataScience #EnterpriseAI #agenticAI -
Anthropic’s $47B Revenue Growth: The Real Story Beyond Valuation
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$965 billion. $47B in annual revenue. And Anthropic is about to post its first profitable quarter ever. Most coverage is focused on the valuation. That’s the wrong number. The right number is the revenue growth. $10B to $47B in twelve months. That doesn’t happen because of
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Apple’s AI Bet Looks Boring but That’s the Point
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Apple’s AI Bet Looks Boring. That May Be the Point. This chart is one of the most interesting AI strategy charts I have seen this year. For a while, I assumed Apple was falling behind. Everyone else was racing into the AI arms race. Bigger models. Bigger data centers. Bigger
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AI coding agents: 17x more code but only 30% more releases
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Big paper on AI coding agents using Github & other data The auto-complete tools (Copilot) led to 2.2x more code, local agents like original Claude Code led to 7.4x, & current remote coding agents 17.3x(!) But human bottlenecks in coding means actual releases "only" went up 30%
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Merge launches Agent Handler for Employees, secure AI integration with company software.
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🆕: Merge just launched Agent Handler for Employees — the safest way to connect AI to your company software.
— Futurepedia – Learn to Leverage AI (@futurepedia_io) 2 juin 2026
✅ Connects Claude, ChatGPT, Cursor, Copilot & more to any third-party system
✅ IT imports employees → maps them to approved tools
✅ Built-in data loss prevention… pic.twitter.com/RgQvgShtNJ: Merge just launched Agent Handler for Employees — the safest way to connect AI to your company software. Connects Claude, ChatGPT, Cursor, Copilot & more to any third-party system IT imports employees → maps them to approved tools Built-in data loss prevention