Didi_ok keeps switching the ants' obstacles—eye, cat, shoe, pavement—without forgetting their one job: move the candy. That's a tiny adventure with real direction.
Our bet is that better AI will make films more personal.
So I made a film where hurting someone turns you into candy.
Would that make us civilised?
Created with @seedance 2.5.
Happy to collaborate with @BytePlusGlobal on this project.
#seedance25
Our bet is that better AI will make films more personal.
So I made a film where hurting someone turns you into candy.
Would that make us civilised?
Created with @seedance 2.5.
Happy to collaborate with @BytePlusGlobal on this project.
#seedance25
Research careers may place more weight on formulating testable questions. Apex's autonomous benchmark loops don't settle that future, but they make it worth discussing before hiring plans catch up.
There’s a big difference between watching a world model demo and actually running one yourself.
The real insight comes when you can interact with it directly.
That’s when the technology starts feeling much more tangible.
Seeing a world model cross that gap is genuinely interesting.
It makes the shift from demo to usable system feel real.
AI agents need more than static benchmarks—they need realistic environments to practice in.
State Machines provides isolated environments, repeatable tasks, and real state for deeper testing.
Run workflows repeatedly, uncover failures, and improve the agent before deployment.
That’s how you build confidence before putting agents in front of customers.
Introducing State Machines.
The first infrastructure to spin up enterprise environments.
Any enterprise app, recreated for agents. Run thousands of environments in parallel, each with its own state.
https://t.co/ApBSmZRe1h
Same Models. Lower Bill.
🙋♀️ Claim your API key at https://t.co/yaHUnXKrCc
• Change your base URL
• Keep your existing stack
• Start saving on every API call
Pay less for the intelligence you already use.
Your customers aren't thinking about which qualified backend provider processes their prompt.
But your profit margins certainly are. 💸
https://t.co/faaHi7HRYJ directs every single request to the best-priced qualified provider based on market rates. This typically helps AI platforms cut their API costs by 30–70% compared to standard official pricing, all while keeping your current models, SDKs, and existing workflows completely intact.
One Provider Fails. https://t.co/faaHi7HRYJ Routes Around It.
Should an upstream provider experience an issue before the response starts, https://t.co/faaHi7HRYJ instantly redirects your request to a different qualified provider. 🔄
Cut down your reliance on a single vendor. You get seamless built-in failover, clear usage analytics, and just one unified bill for your entire team to manage. 📉
Same Models. Lower Bill.
🙋♀️ Claim your API key at https://t.co/yaHUnXKrCc
• Change your base URL
• Keep your existing stack
• Start saving on every API call
Pay less for the intelligence you already use.
Update Two Lines. Keep Your Entire Stack.
https://t.co/faaHi7HRYJ integrates smoothly with the OpenAI SDK, LangChain, LlamaIndex, Vercel AI SDK—and whatever architecture you already operate.
To make the switch:
• Change the base URL
• Replace the API key
That’s all. No rebuild. No new workflow.
Same models · lower bill · one key · keep your stack.
GPT, Claude, Gemini, DeepSeek, Grok & more—across text, image, and video capabilities. 🚀
One OpenAI-compatible API. One single bill. Ideal for AI agents, SaaS, and high API usage.
Setup is simple: just change the base URL and API key to keep your existing stack running perfectly.
Same models. A smarter way to buy them.