criemen

7 ms·

61.
by criemen 1y ago
I don't think macbooks have a GPS chip built-in, isn't it only wifi geolocation?
62.
by criemen 1y ago
How should they do that? I hear that phrase, and it's easy to agree to, but how would it look in practice?
63.
by criemen 1y ago
> They will hire anyone who can produce a model better than GPT5, which is the bar for fine tuning Depends on what you want to achieve, of course, but I see fine-tuning at the current point in time primarily as a cost-saving measure: Tra
64.
by criemen 1y ago
> Supposedly the performance of Owen-coder is comparable to the likes of Sonnet4. If I invest in a homelab that can host something like Qwen3 I'll recoup my costs in about 20 months without having to rely on Anthropic. You can alway
65.
by criemen 1y ago
But that doesn't make sense? Why would they keep the cache persistent in the VRAM of the GPU nodes, which are needed for model weights? Shouldn't they be able to swap in/out the kvcache of your prompt when you actually use it
66.
by criemen 1y ago
Fascinating, so I have to think more "pay for RAM/redis" than "pay for SSD"?
67.
by criemen 1y ago
Technically, they released Opus 4.1 a few weeks ago, so that alone hints at a smaller leap from 4.1 -> 4.5, compared to the leap from Sonnet 4 -> 4.5. That is, of course, if those version numbers represent anything but marketing, whic
68.
by criemen 1y ago
> I suppose it depends on how you are using it, but for coding isn't output cost more relevant than input - requirements in, code out ? Depends on what you're doing, but for modifying an existing project (rather than greenfield
69.
by criemen 1y ago
I don't understand why we're paying for caching at all (except: model providers can charge for it). It's almost extortion - the provider stores some data for 5min on some disk, and gets to sell their highly limited GPU resour
70.
by criemen 1y ago
Great to see they learned from Java, which initially made the mistake of not supporting the streams interface for their Optional type at first [1]. It was infuriating. [1] https://stackoverflow.com/questions/22725537&#x
71.
by criemen 1y ago
> For obscure technical reasons they are always multiples of four. Why did I know that that link went to Raymond Chen before clicking it... That man is a treasure.
72.
by criemen 1y ago
It's also logically incoherent - division by zero can't occur, because if b=0 then abs(b) < sys.float_info.epsilon. Furthermore, the code is happy to return NaN from the pre-checks, but replaces a NaN result from the division b
73.
by criemen 1y ago
> It is well-known that even the biggest SOTA models require only 100-200 good samples for fine-tuning. As someone who's not heard of this before, do you have a link for this? Is this LORA-finetuning only? Finetuning during model tr
74.
by criemen 1y ago
> Please provide a citation for wild claims like this. Even "reasoning" models are not actually reasoning, they just use generation to pre-fill the context window with information that is sometimes useful to the task, which som
75.
by criemen 1y ago
Yes, yet [1] happened where someone took precautions to drive safely at >400 km/h speed. [1] https://www.drivencarguide.co.nz/news/no-charges-laid-on-bug...
76.
by criemen 1y ago
I wanted to point you at https://neverworkintheory.org/ which attempted to bridge the gap between academia and software engineering. Turns out the site shut down, because (quoting their retrospective) > Twelve years afte
77.
by criemen 1y ago
If only the macbook opened more than the 120 degrees (or so) angle with the screen I'd be sooo happy already (no touch required).
78.
by criemen 1y ago
I agree with you that this shouldn't be 100% hard defaults, but it's a good standard to have, and imo it's valuable to be explain why one is deviating from it. > - smaller PRs aren’t necessarily easier to review (and this
79.
by criemen 1y ago
Yet a lot of people never bother to learn vim, and are still outstanding and productive engineers. We're surely not seeing any memos "Reflexive vim usage is now a baseline expectation at [our company]" (context: https:/
80.
by criemen 1y ago
What does PRD mean? I never heard that acronym before.
81.
by criemen 1y ago
> because the LLMs are able to look up bug fixes in the project git repository That's not the (only) problem: Even if you take the internet away, we know/assume that all LLMs are heavily trained on public GitHub repositories. T
82.
by criemen 1y ago
> Solar panels used to be horrible at efficiency. Now they’re pretty amazing and extremely competitive in the power generation market. To be fair, in my understanding economies of scale kicked in _hard_ for solar, making it much cheaper
83.
by criemen 1y ago
Batch size is dynamic, in MoE apparently the experts chosen depend on the batch (not only your single inference request, which sounds weird to me, but I'm just an end user), no one audited the inference pipeline for floating point nond
84.
by criemen 1y ago
Even with temperature 0, the LLM output will not be deterministic. It will just have less randomness (not defined precisely) than with temperature 1. There was a recent post on the frontpage about fully deterministic sampling, but it turns
85.
by criemen 1y ago
> Even before AI, i'd argue the vast majority of code is cheap and simple. But that is what makes it more important than ever to decide what code should exist before someone wastes a day or week writing it. This 1000%. In my opinion
86.
by criemen 1y ago
They posted > We are continuing to monitor for any ongoing quality issues, including reports of degradation for Claude Opus 4.1. I take that as acknowledgment that there might be an issue with Opus 4.1 (granted, undetected still), but no
87.
by criemen 1y ago
> The people who build the models don't understand how to use the models. It's like asking people who design CPUs to build data-centers. This doesn't match the sentiment on hackernews and elsewhere that claude code is the
88.
by criemen 1y ago
I'm not so confident in that yet. If you look at the inference prices Anthropic charges (on the API) it's not a race to the bottom - they are asking for what I feel is a lot of money - yet people keep paying that.
89.
by criemen 1y ago
I'm not so sure: If you think about hiring talent, there's a perception in the wider industry about PHP (rightly or wrongly, let's not debate that here) that'll prevent access to a lot of great developers. So even if not
90.
by criemen 1y ago
How did you reduce LoC with a move from PHP to go? Go is a pretty verbose language, whereas for me PHP is somewhere in the middle of the pack in terms of verbosity (Haskell would be on the terse side, enterprise Java and Go on the verbose e

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