dannyw

21 ms·

481.
by dannyw 6mo ago
Wouldn't you need to re-run across lots of samples (even for a single eval/bench) to avoid outsized impacts from just bad luck?
482.
by dannyw 6mo ago
There's stuff like SOC controls and enterprise contracts with enforceable penalties if clauses are breached. ZDR is a thing. The most significant value of open source models come from being able to fine-tune; with a good dataset and li
483.
by dannyw 6mo ago
Another annoyance (for more API use) is summarized/hidden reasoning traces. It makes prompt debugging and optimization much harder, since you literally don't have much visibility into the real thinking process.
484.
by dannyw 6mo ago
Their financial projections that to a big part their valuation and investor story is built on involves actually making money, and lots of money, at some point. That money has to come from somewhere.
485.
by dannyw 6mo ago
Hmm, the Flash performs significantly better than Pro in the benchmark? That's very strange; could rate limiting cause that?
486.
by dannyw 6mo ago
Offline mode, and self-hostable apps. I'm very happy with my self-hosted and open source apps; e.g. photo library, media centres, etc; the convenience of cloud, but my cloud that I fully control.
487.
by dannyw 6mo ago
Are there better providers for inferencing this right now? I know it's launch day, but openrouter showing 30tps isn't looking great.
488.
by dannyw 6mo ago
I do think Nvidia isn't that badly priced; they still have the dominance in training and the proven execution Biggest risk I see is Nvidia having delays / bad luck with R&D / meh generations for long enough to depress the
489.
by dannyw 6mo ago
Yeah, open weights is really good, especially when base models (not just the instruction tuned) weights are released like here.
490.
by dannyw 6mo ago
Yeah, subscriptions used to be extraordinarily generous. I miss those days, but the reinvigoration of open weight models is super exciting. I'm still playing with the new Qwen3.6 35B and impressed, now DeepSeek v4 drops; with both base
491.
by dannyw 6mo ago
Research and training costs have to be amortized from somewhere; and labs are always training. I'm definitely keen for the financials when the two files for IPO though, it would be interesting to see; although I'm sure it won&#x27
492.
by dannyw 6mo ago
Their subscription subscribers will see/feel the difference irregardless, API pricing is hopefully read by devs that know about token efficiency and effort.
493.
by dannyw 6mo ago
That’s a serious red flag. I’m concerned and I don’t think it shows a security first culture.
494.
by dannyw 6mo ago
Hopefully not, because checking your codebase for vulnerabilities is really valuable. I hope it’s just limits on pentesting and stuff, and not for code analysis and review.
495.
by dannyw 6mo ago
Try GPT-5.5 as your daily driver for a bit. It felt a lot smarter, reliable, and I was much more productive with it.
496.
by dannyw 6mo ago
It’s good to just keep trying different ones from time to time.
497.
by dannyw 6mo ago
You’re still the one that’s controlling the model though and steering it with your expertise. At least that’s what I tell myself at night :) I haven’t really thought about this before, but you’re right, it feels a bit uneasy for me too.
498.
by dannyw 6mo ago
It's genuinely so great at long horizon tasks! GPT-5.5 solved many long-horizon frontier challenges, for the first time for an AI model we've tested, in our internal evals at Canva :) Congrats on the launch!
499.
by dannyw 6mo ago
It's far more meaningful to look at the actual cost to successfully something. The token efficiency of GPT-5.5 is real; as well as it just being far better for work.
500.
by dannyw 6mo ago
Evaluating different quant levels for your use case is a problem you can pretty reliably throw at a coding agent and leave overnight though. At least, it should give you a much smaller shortlist.
501.
by dannyw 6mo ago
LLMs are explicitly designed to handle, and also possibly 'learn' from different tokens encoding similar information. I found this video from 3blue1brown very informative: https://www.youtube.com/watch?v=wjZofJX0v4
502.
by dannyw 6mo ago
A little bit of post-training will fix that. Folks on /r/LocalLLaMa have been making effective finetunes with diff. tokenizers for years.
503.
by dannyw 6mo ago
If you use Canva, you can send to Canva and then publish it as a website (public web URL) in a couple clicks
504.
by dannyw 6mo ago
(I lead AI Products at Canva :) Our mission is to empower the world to design, and we believe in making Canva available in every place where ideas begin. Being the most interoperable platform creates mutually better products, more value for
505.
by dannyw 7mo ago
You can change tokenizers without a complete retraining from scratch.
506.
by dannyw 7mo ago
Unfortunately AMD is much worse with supporting AI features like FSR4 on older hardware generations, despite the capability and leaked INT8 models being there. Totally unlike NVIDIA. It’s absurd I have to use open source programs to get INT
507.
Apple Blocks Updates for Popular 'Vibe Coding' Apps(macrumors.com)
8 points by dannyw 7mo ago|0 comments
508.
by dannyw 8mo ago
The amount of things you can do on a Chromebook vs macOS just doesn’t compare. Chromebooks are closer to tablets with an attached keyboard.
509.
by dannyw 9mo ago
Your comment and the article expanded my world view a little bit. Thank you.
510.
by dannyw 9mo ago
I was part of the exodus too, I spent hours everyday on Digg before switching to Reddit. I remember, and Digg staff’s nonchalant/hostile responses to the community also hurt. I wasn’t trying to provide a complete biopsy, I’m just expla

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