Recent submissions

Comment · 9 months ago
Comment · 9 months ago
Same ask, same session, side by side, no system prompt. K2 Preview refuses, K2.5 gives factual history.

Frankly surprising and welcome to see loosening CCP-sensitive topics between model versions.

Comment · 2 years ago
One person on Discord has called this 'taking the idea of self-consistency forward to ensemble model usage'. I guess this is, technically, what this approach is about :)
Comment · 2 years ago
Thank you so much - there's much more and much better coming ;)
Comment · 2 years ago
Yes, the only issue is the usage of tokens, which is obviously greater as we are sampling more of the solutions space. But it's a compromise to have GPT-4.5 level intelligence with GPT-4.
Comment · 2 years ago
Same experience. Once you beam you look for it everywhere!
Comment · 2 years ago
Same. I like using Opus | Gpt-4 | Gemini Pro (I don't have Ultra) | Mistral Large.
Comment · 2 years ago
There's a combo box on the right side, and when you click on the "Add Merge" (green) button, the currently active model will be selected.
Comment · 3 years ago
TL;DR & DIY: asked gpt-4 this prompt "Cluster the top10 categories of complaints by the users, and describe each category with a few adjectives/nouns in order or importance." as of rn.

Crisp or too critical?

1. Documentation: lacking, inadequate, outdated

2. Code quality: simple, awkward, suboptimal

3. Production readiness: experimental, unreliable, limited

4. Monetization: unclear, risky, potentially detrimental to open-source

5. Community support: misinformation, poor communication, fragmented

6. Ecosystem: competing alternatives, redundancy, unclear positioning

7. Business model: potential rug-pull, VC-funded, uncertain sustainability

8. Developer experience: poor ergonomics, type erasure, confusing

9. Performance: slow, afterthought, poor observability

10. Maintenance: unpatched bugs, slow response to issues, dependency on contributors

Comment · 3 years ago
Very interesting to follow the chain on the console. Vry good in breaking down multi-part questions, way better than Google Assistant - and then uses G to search. Thx for showing the way.
Comment · 3 years ago
Very good point. Once you start breaking down a llm into presets/delegators, you introduce basically if-else, with all the problems of that split. Lack of visibility, local vs global optimization, lack of control and predictability, asymmetry of information. I wonder if the current Agents approach is a stopgap solution.
Comment · 3 years ago
When the user selects one of those, any query will reveal the prompt. Can be changed but the change won't be persisted yet. We added a 'Custom' preset today that requires editing. Agree with your point tho - rn editing happens via 'forking' :)

Live from the official Hacker News API

A modern reader for Hacker News · SvelteKit + Skeleton