Watch this dude. Look at the intensity. The demeanor. He’s built for this.

President Trump is floating the possibility of keeping the UFC arena on the White House South Lawn — built for a series of fights on his birthday and Flag Day — permanently. Read more: abcnews.link/4UcMnTQ

American open source AI is in trouble. China is eating our lunch. This is a bigger problem than people realize.

every major ai lab is losing money on you right now. openai lost $5B in 2024 on $3.7B revenue. they burned ~$8B on inference alone in the first 3 quarters of 2025. and they're forecasted to burn $218B in cash from 2026 to 2029. For comparison, uber burned $18.2 billion over six years before turning profitable. the strategy is subsidize inference to near-zero, get every engineering team dependent on their models, let switching costs build up quietly, then close the subsidy window once you're locked in. here's the part people get wrong. "but inference costs are falling! tokens are cheaper than ever!" yes, per-token costs dropped ~10x year over year. but that's for them, not for you. these companies have tens of billions in losses to recoup. cheaper infrastructure doesn't mean cheaper pricing when you're $218B in the hole. and as coding agents become the default way software gets built, the volume of tokens per developer is exploding. agentic loops hit the model 10-20x per task. context windows keep growing. your ai bill scales with every user, every feature, every agent running in the background. the unit cost goes down but the total spend goes up - that's the trap. this is why we built cline to be model-agnostic, because vendor lock-in to a single inference provider is dangerous. you should be able to swap models, run open source on your own infra, use whatever provider gives you the best price-performance for your workload - and never worry about a pricing rug pull.