LLMs give different answers to the same prompt every time.
Not a bug. That's temperature — a small amount of randomness baked into how models predict the next token.
Same input → different output on every run.
Understanding this is step 1 to building AI systems you can actually trust.
I recorded a short demo showing exactly this — same prompt, live, multiple runs. Watch it here 👇
Hackages Old classic: Learn about Closure in (Java|Type)Script.
In this video, Davy Engone explains, in simple terms, how to wrap your head around the concept of Closure. He uses TypeScript, but this concept is widely available in other programming languages.
You can try https://t.co/rExBAac01c to learn all these concepts in our 30-Day learning path.
Yes, you still need to understand fundamental concepts in this AI era.
@miki_devs You could not be more wrong. The guy was positioned at the right place at the right moment. He's been busy with this for a long time. Do proper research next time
@shiri_shh Agent doesn't come up with the idea or the problem to solve. Find the problem, write a spec and let the agent do the job.
What a time to be alive!!
ElevenLabs just lost its moat 🤯
Someone just dropped Voicebox, and it clones any voice from just a 3-second audio clip, running 100% locally on your machine.
100% Open Source