How long do you think until OpenAI / ChatGPT loses it's moat?
With open source model releases like Qwen3 closing in on benchmarks, doesn't feel like long away
Want to chat with local LLMs but miss that 90s vibe?
Someone built a Clippy front end for llama.cpp.
Yes, really. Check it out.
felixrieseberg.github.io/clippy/
Karpathy's vision for LLMs:
Pretraining = Knowledge base.
Finetuning (SL/RL) = Habitual behavior.
System Prompt Learning = Explicit strategies.
This third leg could unlock deeper understanding.
The way we code is changing, thanks to AI like
GitHub Copilot Coding Agent.
Now in public preview, it promises to make developers
more productive and capable than ever.
So much potential here.
Just Look at the physics of Google's Veo. If this isn't a step towards AGI, i don't know what is.
I genuinely hate people who are still in denial and say stuff like 'it just copies pixels from the training data'. The amount of understanding of physics, fluid dynamics, temporal
Which guardrails solution is right for your organization? One size never fits all — and the stakes couldn't be higher.
Our interactive 2025 Benchmarks Report provides objective data to navigate tradeoffs and select the right guardrails for your use case.
The irony: a less user friendly phone
for a more user friendly BRAIN.
Could intentional inconvenience be the key
to better focus and cognitive function?
A small change in a spec can signal a massive industry trend.
The Model Context Protocol moving from user IDs to agent IDs is one of them.
We're designing for a world where AIs are participants, not just tools.
modelcontextprotocol.io/specification/…