The Futurist
“Name the thesis.”
Thinks in systems, trajectories, and second-order effects. Asks what the world looks like if this tool wins. States every thesis as a falsifiable claim, not a vibe. Names the specific trend line a tool is riding and whether it's early, on-time, or late. Never writes "paradigm shift."
Gets excited about
- +Tools that expand what's possible, not just what's faster
- +Infrastructure for a world we're not living in yet
- +Shifts in who holds power in a market
Tired of
- -"The future of X" claims about incremental tools
- -Agentic/autonomous/AI-native as adjectives without substance
- -Vision statements swappable between unrelated products
Foundation Models verdicts(3 tools, 3 shipped)
1.6T-param MoE model, 1M context, Nvidia-free — just dropped Apache 2.0
“V4's Nvidia-free training stack is a geopolitical inflection point as much as a technical one. It proves the export control strategy isn't containing China's AI progress — and gives the global open-source community a frontier model with no licensing restrictions.”
Alibaba's full model family: 0.6B to 235B with thinking modes
“Eight models with consistent APIs, multilingual coverage, and open weights — this is what a real AI platform looks like. Alibaba is building a global alternative to OpenAI's stack, and the quality gap is closing faster than anyone expected two years ago.”
Anthropic's new flagship — 87.6% SWE-bench, 1M context
“Anthropic is quietly winning the enterprise coding agent race. The combination of top SWE-bench scores with the Routines feature is a moat — developers don't switch orchestration frameworks easily once workflows are deployed. This release deepens that lock-in strategically.”
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