
Antid
200 posts









Just went all-in on France to beat Senegal at the World Cup and I didn't wait a single second for the fill. The fastest sports prediction exchange just went public. @predofficial doesn't move like a betting site. It moves like an exchange. > Market order on France moneyline at 68¢. > Filled in under 200ms -- instant. > Spreads under 2%, zero house edge. > Cash sitting idle? Still earning 6% APY till kickoff. No book, no house taking the other side and no getting capped or banned the moment you start winning. It's peer-to-peer -- you trade sports outcomes like assets, against other traders, on Base. And the launch came loaded: > Brand new desktop UI -- full order book, long/short, market & limit. > New sports live on day one. > FIFA Friendlies. > World Cup markets running right now. > Exclusive future markets you will NOT find on any other platform. Sportsbooks were built to beat you. PRED was built so you can't be stopped. The Sports Prediction Exchange has arrived. Winners welcome and this time they mean it. Trade the game -> pred.app/?referral_code… Don't forget to bookmark it.








The best way to truly understand any topic is to study it in depth Especially when the course is completely free Thats exactly what @CyfrinUpdraft offers right now You can learn all the key concepts nuances and mechanics from the ground up Everything is presented in a clear and engaging format And if this topic isnt enough there are plenty of other courses available on the platform Its never been easier to start learning something new





A DEVELOPER ONCE EXPLAINED A LANGUAGE FROM THE 1980s THAT ALREADY RAN MILLIONS OF TINY WORKERS IN PARALLEL UNDER ONE SUPERVISOR -- THE EXACT THING EVERYONE THINKS "300 AI AGENTS" JUST INVENTED Tim McNamara on what to steal from Erlang -- the language built for systems that can never go down, where thousands of independent processes run at once and a single supervisor watches every one of them. -> The moment it clicks, the whole "Swarm of agents" hype stops looking new. One coordinator that plans the work. A crowd of small workers that each do one thing and share nothing. A supervisor on top that kills and restarts whatever breaks. That's not a 2026 idea -- it's the actor model, and it's older than most engineers reading this. The trick was never raw parallelism. Anyone can spawn a thousand workers. It's the discipline around them: each one isolated, failures contained instead of cascading, and one layer with the authority to restart. "Let it crash" beats "Try to handle everything" because the supervisor already knows what to do. Running many things at once was never the skill -> orchestrating them so the whole thing doesn't collapse is. And now that people are pointing 300 AI agents at a single job and praying, the ones who win will be the teams who learned this pattern from a language that's been doing it for forty years. Everyone's racing to build the swarm. Almost no one is studying the one system that already solved how to keep a swarm from eating itself. Save it. It's the map for everything coming next ↓







