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Issue #001
5 must-reads in AI this week
We keep our ear to the ground so you don't have to — the models, money, and moves shaping what we all build next.
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1
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Anthropic's billion-dollar week
Anthropic closed financing at a $965B valuation — officially passing OpenAI as the world's most valuable private AI company — and confidentially filed for an IPO. The engine behind the surge is Claude Code, its AI coding assistant, which has quietly become one of the fastest-growing products in the category. The takeaway: AI coding tools are no longer a niche — they're the center of gravity, and the revenue, for the whole industry.
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2
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The agent land-grab is on
The market has stopped asking "are AI agents real?" and started asking "which part of my company gets agentized first?" The proof is in the M&A: Asana bought StackAI, Salesforce bought Contentful, Coupa bought Rossum, and Vertice bought Vendr — all to acquire capabilities their agents need to act, not just advise. When incumbents start buying instead of building, it means the window to ship is now.
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3
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Four big models, one month
Four major model storylines are landing in the same few weeks: Google's Gemini 3.5 Pro, Anthropic's Claude Mythos 1, a rumored Sonnet 4.8, and xAI's long-delayed Grok 5. Pricing is settling too — GPT-5.5 at $1.50/$9, Claude Opus 4.8 at $5/$25, Gemini 3.1 Pro at $2/$12 per million tokens. For builders, capability is no longer the bottleneck — choosing the right model for the job and the budget is.
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4
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Compute is the real war
Behind the model headlines is the actual battlefield: compute. xAI's filings revealed it is renting 300 megawatts to Anthropic for $1.25B per month through 2029, while Amazon's custom AI-chip business has crossed a $20B annual run rate, growing 100%+ year over year. Models are downstream of GPUs — whoever controls compute controls the roadmap, and the pricing you'll pay.
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5
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MCP becomes the standard
The connective tissue for agents is consolidating fast. Google shipped Managed Agents in the Gemini API at I/O, Alteryx launched an MCP Server, and AWS, Microsoft, IBM and Databricks now all describe agents the same way: goals, memory, planning, tool use, autonomy. The Model Context Protocol is becoming the default way enterprises wire agents into real systems. This is exactly the layer we build on — and where the next decade of enterprise software gets written.
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