Seasoned.Tech · July 21, 2026
The AI Platform War Got Practical
Talk of banning Chinese-made open-weight LLMs reveals the challenge of turning AI into a business.
Mike's take
Slow down to speed up. Ten minutes setting a tool up right beats an hour fighting it later.
Top AI stories worth your time
- OpenAI is scared of open-weight models. Should the US be? — TechCrunch AI
Talk of banning Chinese-made open-weight LLMs reveals the challenge of turning AI into a business. - China delivers a one-two punch to America’s AI dominance — The Verge AI
China's leading AI companies are ramping up the pressure on Silicon Valley, as Moonshot and Alibaba unveiled models they claim can go toe-to-toe with the best from OpenAI and Anthropic at a fraction of the cost. The rapi - Anthropic’s landmark $1.5B copyright settlement is approved — TechCrunch AI
The final approval settles one case, but it doesn't resolve the broader issue of using copyrighted works to train AI models. - Google is working on a new AI chip designed to make Gemini more efficient — TechCrunch AI
Alphabet, Google's parent company, is reportedly working on a new chip designed to make its Gemini models run much more efficiently. - At SIGGRAPH, NVIDIA Advances Graphics and Simulation With Agentic and Physical AI — NVIDIA
From open models to real-time simulation, AI and graphics breakthroughs are transforming media, content creation and robotics.
Jargon, decoded: Hallucination
When an AI model generates false or fabricated information presented as fact.
In plain English: When the AI confidently makes something up. Always spot-check names, numbers, and quotes.
Fact: The same question can get different answers.
There's built-in randomness. If one answer's off, just ask again or rephrase — you're not doing it wrong.
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