The HELP foundation
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2.4 million people use @BNBChain, daily.




As I told @MariaBartiromo last week, U.S. financial markets are poised to move on-chain. Under my leadership, @SECGov is prioritizing innovation and embracing new technologies to enable this on-chain future, while continuing to protect investors.





TESLA U.S. SALES DROP TO NEARLY 3-YEAR LOW IN NOVEMBER DESPITE LAUNCH OF CHEAPER MODEL Y AND MODEL 3 -COX DATA


Disney has signed a deal with OpenAI & invested $1 billion into the company Sora will now be able to AI generate videos based on animated, masked & creature characters from Disney, Marvel, Pixar & Star Wars Curated selections of AI generated videos will be released on Disney+


JUST IN: 🇺🇸 White House Advisor Hassett says President Trump will announce "huge" positive economic news.

The biggest AI usage report of 2025 just dropped (100 trillion tokens of real usage on OpenRouter) 8 findings that I was most surprised by: 1. Roleplay & creative fiction are the 2nd largest category and >50% of all open-source usage. Uncensored models are swallowing the demand for "fan-fic" and NSFW content. 2. Programming is now >50% of all LLM tokens. It was 11% twelve months ago. Coding literally became the operating system of AI. 3. Anthropic’s Claude is used for >80% programming and almost zero roleplay. It is the “serious work” model while DeepSeek is the entertainment king (with 2/3 roleplay traffic) 4. A model that the 1st to nail a painful workload creates near-permanent lock-in. Early 2025 cohorts of Claude 4 Sonnet and Gemini 2.5 Pro still retain 40–50% of users six months later while every later cohort churns. They call it the Glass Slipper effect: be the first to fit a new workload, and the princess never leaves. 5. Demand is wildly price-inelastic. Users happily pay 10–50× more per token for Claude or GPT-5 if it saves them ten minutes of debugging. Being cheap is nowhere near enough. 6. The new sweet-spot model size is 20–70B parameters. Small models are getting low usage, giant models are fragmenting, and the medium tier is eating both. 7. Open-source models went from <5% to ~33% of total usage in one year, almost entirely driven by Chinese labs (DeepSeek, Qwen, Moonshot, MiniMax). There is no longer a single best model. The top ten models by volume are from eight different labs. 8. Asia is now 31% of global spend (was 13% a year ago). Singapore + China + Korea alone are almost 20% of all tokens. The era of one foundation model to rule them is over. We now live in a permanently fragmented world where the model you use depends entirely on what you're doing with it - writing code? writing fanfics? Anyway, there's clearly only one direction for token spend: Up and to the right Full report from @a16z + @openrouter (link in comments).













