Epic, about 2/3 of all comments here are jokes. Not because the model is a joke - it's impressive. Not because HN turned to Reddit.
It seems to me some of most brilliant minds in IT are just getting tired.
Claude Opus 4.6
201–210 of 1001 posts
Re: Claude Opus 4.6
#202This is huge. It only came out 8 minutes ago but I was already able to bootstrap a 12k per month revenue SaaS startup!
I love this thread so much.
Re: Claude Opus 4.6
#203I'm still not sure I understand Anthropic's general strategy right now. They are doing these broad marketing programs trying to take on ChatGPT for "normies". And yet their bread and butter is still clearly coding. Meanwhile, Claude's general use cases are... fine. For generic research topics, I find that ChatGPT and Gemini run circles around it: in the depth of research, the type of tasks it can handle, and the qual…
I kinda agree. Their model just doesn't feel "daily" enough. I would use it for any "agentic" tasks and for using tools, but definitely not for day to day questions.
But that’s what makes it so powerful (yeah, mixing model and frontend discussion here yet again). I have yet to see a non-DIY product that can so effortlessly call tens of tools by different providers to satisfy your request.
Re: Claude Opus 4.6
#204Impressive results, but I keep coming back to a question: are there modes of thinking that fundamentally require something other than what current LLM architectures do?
Take critical thinking — genuinely questioning your own assumptions, noticing when a framing is wrong, deciding that the obvious approach to a problem is a dead end. Or creativity — not recombination of known patterns, but the kind of leap where you redefine the problem space itself. These feel like they involve something beyond "predict the next token really well, with a reasoning trace."
I'm not saying LLMs will never get there. But I wonder if getting there requires architectural or methodological changes we haven't seen yet, not just scaling what we have.
Re: Claude Opus 4.6
#205I need an agent to summarize the buzzwordjargonsynergistic word salad into something understandable.
Re: Claude Opus 4.6
#206This is huge. It only came out 8 minutes ago but I was already able to bootstrap a 12k per month revenue SaaS startup!
Please drop the link to your course. I'm ready to hand over $10K to learn from you and your LLM-generated guides!
my clawdbot already bought 4 other courses but this one will 10x my earnings for sure
Re: Claude Opus 4.6
#207The bicycle frame is a bit wonky but the pelican itself is great: https://gist.github.com/simonw/a6806ce41b4c721e240a4548ecdbe...
One aspect of this is that apparently most people can't draw a bicycle much better than this: they get the elements of the frame wrong, mess up the geometry, etc.
Re: Claude Opus 4.6
#208I'm disappointed that they're removing the prefill option: https://platform.claude.com/docs/en/about-claude/models/what... > Prefilling assistant messages (last-assistant-turn prefills) is not supported on Opus 4.6. Requests with prefilled assistant messages return a 400 error. That was a really cool feature of the Claude API where you could force it to begin its response with e.g. ` They suggest structured outputs o…
It is too easy to jailbreak the models with prefill, which was probably the reason why it was removed. But I like that this pushes people towards open source models. llama.cpp supports prefill and even GBNF grammars [1], which is useful if you are working with a custom programming language for example.
[1] https://github.com/ggml-org/llama.cpp/blob/master/grammars/R...
Re: Claude Opus 4.6
#209Earlier quoted context omitted.
> "engineers optimizing inferencing" are we sure this is not a fancy way of saying quantization?
A ton of GPU kernels are hugely inefficient. Not saying the numbers are realistic, but look at the 100s of times of gain in the Anthropic performance takehome exam that floated around on here. And if you've worked with pytorch models a lot, having custom fused kernels can be huge. For instance, look at the kind of gains to be had when FlashAttention came out. This isn't just quantization, it's actually just better op…
"This isn't X, it's Y" with extra steps.
Re: Claude Opus 4.6
#210Earlier quoted context omitted.
It’s extremely successful, not sure what it explains other than your biases
Anthropic has perhaps the most embarrassing status page history I have ever seen. They are famous for downtime. https://status.claude.com/
As opposed to other companies which are smart enough not to report outages.