TIL there's probably way more in my .cache/huggingface than I thought. Good to have visibility on this!
@whats_ai
-
Open Source Attribution and Compensation Models in AI Development
By
–
Tough one. Open source gave us everything we build on today. I think we need better attribution and compensation models rather than pulling back entirely.
-
Open Source Coding Agents Democratized for Smaller Teams
By
–
Every company building their own internal coding agent was inevitable. Making it OSS so smaller teams can do the same is the right move.
-
Free Anti-Slop Prompt Template Fixes AI Writing Instructions
By
–
I made a free Anti-Slop Prompt Template that fixes the #1 problem with AI writing. The problem isn't the model. It's the instructions. Vague instructions give the AI room to be generic. These rules fix that. Here's what's inside: – A 7-section template you can copy-paste
-
Claude vs GPT: Compute Scaling Impact on Model Quality
By
–
On my end, Claude's models usually hold up quite nicely vs GPT's. Curious if the compute scaling gap actually shows in model quality or if it's more about availability and throughput.
-
Native Interaction Replay Improves Agent Pipeline Debugging
By
–
Replaying full interactions natively makes debugging agent pipelines so much easier. Will play around!
-
Internal Coding Agents Deliver Maximum ROI for Enterprise
By
–
Internal coding agents are where I see the biggest ROI for companies right now. The open SWE benchmarks are great but every codebase has its own quirks that only internal context can handle.
-
AI Autocomplete Blur Between Assistance and Full Automation
By
–
The line between 'helpful autocomplete' and 'the AI is texting for me' is getting thinner every day haha
-
Desktop Control: AI’s Most Underrated Practical Use Case
By
–
Desktop control is honestly one of the most underrated use cases right now. Got that feeling when first switching to Claude Cowork too, having the AI actually DO things instead of just telling you how.
-
Best Vibe Coders: Ideas Over Experience With AI
By
–
The best vibe coders I've seen aren't ex-senior devs, they're people with lots of ideas who always wanted to try stuff. Now they can do it in parallel and super efficiently. It's about having a clear mental map of what you want.