Ok, I am ready Agentic economy will be huge
MARKET TRENDS
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Internal AI Models Far Ahead of Public Releases
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We don't have Mythos. The internal models of Google, OpenAI and Anthropic are substantially ahead of what the public gets to use. The important question is whether dissemination stops.
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Tech Community Mapping on X: Complete Directory
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I mapped out the tech community here: https://
x.com/scobleizer/lis
ts
… Most complete of such on X. Hope it helps and welcome back -

NVIDIA Blackwell Leads AI Token Cost Efficiency Race
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We're in the era of AI token factories. Token output is intelligence. And cost per token is the only TCO metric that holistically determines whether AI scales profitably. That’s exactly where NVIDIA Blackwell leads.
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Token Cost: The Most Important AI Business Metric
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Read why token cost is the most important business metric for AI
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NVIDIA Blackwell Achieves Lowest Cost Per Token
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Cost per token is the metric that defines inference TCO, not compute cost or FLOPS per dollar. It’s what determines whether AI can scale efficiently and profitably in the real world . NVIDIA Blackwell which delivers the lowest cost per token in the industry is available
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Sneakers Company Pivots to AI Infrastructure Strategy
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Ah yes, the well-known sneakers-to-AI infra pivot.
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Anthropic Opus 4.7 Release and Rate Reset Announcement
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Hey @AnthropicAI , how about Opus 4.7 and rate-reset? 🙂
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Three Keys for Companies to Master AI in 2026-2028
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My takeaway is simple: The next 2 to 3 years will reward companies that do 3 things well: → use AI internally, so leadership understands it firsthand
→ build with a clear path from pilot to industrialization
→ take control of their own models, data, and evaluation strategy -
Open Custom Models Strategic Advantage Over Vendor Lock-in
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The second big insight, open and custom models are becoming a strategic advantage, not just a technical preference. Why? → More control over your AI stack
→ Less vendor lock-in
→ Better fit for regulated industries
→ More value from your own enterprise data and IP General
