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Attributed mentions
2182
Across all collected Hacker News results
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Showing 781–800 of 2182 matching discussions
It is impossible to duplicate results with an LLM. This strikes me as a serious barrier to calling it a proper skill. If you can’t even somewhat replicate the results you can’t really improve the input consistently. You can’t become “skilled” at it if you can’t even reproduce what you did. If you enter the same prompt 3 times the results are of pretty significantly different quality. ChatGPT literally has you A/B test for them sometimes. They’re right to call it superstition - it feels like we’re making incantations and hoping for the best a lot of the time. Prompting LLM’s still feels like a constant game of guess and check. At best you can argue it’s an educated guess. I don’t know about you but I didn’t learn math by guessing and checking, I frequently had to work backwards and re…
And have nobody to blame for that but themselves and their own scaremongering. Dario cried wolf one too many times, and somebody finally believed him. Of course, Anthropic is after regulator capture, so this all likely worked out exactly as planned.
This 100%. I was Anthropic-pilled. I had a $200/mo subscription and I only used Anthropic models. I was frustrated by the verbose output and the writing style. I tried ASD-STE-100, it helped a bit, but it's still too verbose for my taste. Then I tried GPT 5.6 Sol. It's night and day. I think Anthropic just RLHF too hard on coding capabilities and never calibrated or benchmarked the writing styles.
Not that surprised about it. Personally I've seen companies really just go all-in on a single provider, and that has usually been Anthropic. I don't think we're allowed to run Chinese models even locally.
> and Anthropic's Project Glasswing is supposed to find them quite a while ago? We cannot trust a single company to report security issues, it’s good to see competition in that domain
Yes, it becomes exhausting to read/follow. It feels they must be getting Claude to train Claude… and just like AI can do work that’s slightly in the wrong direction (eg a MR description for your colleague that contains info which only makes sense in the context of your extensive session with the LLM), I feel that’s happened somewhere in Anthropic when it comes to language. I wonder how hard it is to back out of…
I've gone back to 4.8. 5 would constantly veer of in random directions if not working from 100% strict and narrow instructions. I find it weird there's not more discussion here on HN on how the most used model now has clearly degraded in quality and it seems we've hit a peak and are on a downslope - because the model is clearly smaller or more economical for Anthropic no doubt about it, and the benchmaxxing they do is pure cheating. Theres thousands of threads of twitter, reddit and the internet at large but silence here. Weird. Personally i think we've hit the top of the subsidisation phase and prices will probably 10-15x soon as foreshadowed with both API price policy changes from all the big providers, and now the 1100% deepseek API price changes from yesterday, this could domino into …
Yep, I use Gemini for this too and it’s great - very fast and high quality. I’d be very willing to try it out as an API, but it’s far too complicated to set up payment, and I don’t want to risk taking a wrong step and being locked out of other Google services. So Anthropic and Mistral get my money instead.
I've used GLM-s the longest with Claude Code and their Anthropic supplied endpoint. As per their docs $ ANTHROPIC_BASE_URL=" https://api.z.ai/api/anthropic " ANTHROPIC_AUTH_TOKEN="zai-api-key" claude --dangerously-skip-permissions Lately I use Zai in omp (oh-my-pi). It's listed built-in provider can be selected without configs shenanigans. Fits in the overall setup e.g. can select GLM-5.2 (now 5.3), and assign it role [plan] or [advisor]. I got reminded now of glm-5v-turbo. Think that 'v' was for vision. Assigned it role [vision] in omp now, let's see what happens. :-)
Wdym "sadly they don’t support using Claude Code"? For the longest time that's all Zai supported - Claude code. I'd run it via export ZAI_ANTHROPIC_BASE_URL="https://api.z.ai/api/anthropic" export ZAI_ANTHROPIC_AUTH_TOKEN="$ZAI_API_KEY" claude-zai() { { local -; set -x; } 2>/dev/null ANTHROPIC_BASE_URL="$ZAI_ANTHROPIC_BASE_URL" ANTHROPIC_AUTH_TOKEN="$ZAI_ANTHROPIC_AUTH_TOKEN" claude "$@" } $ claude-zai I liked Claude Code to start with. But over time between 'CC cache thrashing undo' seetings (I see now accumulated in ~/.claude/settings.json) and Anthropic-anything becoming a liability - have not used it in while. ZCode is ok and use it to take advantage of the discount tokens on offer from time to time. But really glad to see that in omp (oh-my-…
Talking to an LLM is not a skill, just like using Google is not a skill. Why? One, the companies like Google or Anthropic or OpenAI are working hard for it not to be a skill. That's the whole point. Second, these system are opaque, so there is no understanding to happen, only superstition, which might be wrong or change tomorrow.
Look, GLM, Kimi, Deepseek and Qwen should just join forces and come up with THE model that will beat the frontier lab models even just for the benchmaxxing perspective - all just to create hype and chaos to derail the trillion IPO conversations surrounding OpenAI and Anthropic.
> why are they falling so far behind in the AI race? Are they? They provide AI overview to majority of web searches, and that alone requires enormous resources. Anthropic, OpenAI and others only serves their AI customers. Regarding the power of their model, my own experiences are that it doesn't fall behind. I've done many successful projects already, including quite a big one in Pascal. So no, I don't feel any difference between Gemini and others. I think it's just a long lasting fashion to whine about Google and its services.
I take it from [1] (transcript of recent DeepSeek CEO discussion with investors) that DeepSeek would disagree on the immediate catastrophic impact to the likes of OpenAI or Anthropic. The reason is even though technology parity mostly exists, only OpenAI, Anthropic et al have the inference capacity to gain market share and generate revenue. Chinese vendors don't have the chips needed to scale up inference and gain market share, and the DeepSeek CEO doesn't think this would happen in optimistic circumstances in the next 3 years, but thinks it might be possible in 5 years. In summary, regardless of country of origin, availability of inference capacity is the moat protecting the likes of OpenAI and Anthropic, not technology superiority. [1] https://www.fredgao.com/p/deeps…
> Anthropic's Project Glasswing is supposed to find them quite a while ago? Someone still has to run it. The analysis and fix could be someone's machine but not committed / published.
Commoditization is a beautiful thing. It seems Anthropic and OpenAI are really struggling to maintain much of a moat. Mistral might not be leading but it's not trailing by that much either. And of course the Chinese are doing their own thing quite successfully. The reality is that the US is betting its economy on data centers at great expense and is exposing its economy to great risk. Also while geographically a lot of the money and processing power is in the US, the US has been relying on immigration to power its universities and especially AI research has roots all over the globe. India, China, Russia, Europe, etc. AI related know how is finding its way back to all these places. So, I'm not too worried about the long term here. It will be interesting to see if Anthropic and OpenAI survi…
> ... Anthropic's Project Glasswing is supposed to find them quite a while ago? That was my thought too. For all of Anthropic's talk about their "adversaries", it seems Z.AI have been quietly offering fixes for single shot Remote Code Execution flaws in US software (Safari / WebKit) that Apple and Glasswing / Mythos missed, and that Apple would not attribute to GLM.
No time like the present to pull out and reduce your exposure. I brought this up in my employer's forums 4 months ago and honestly it's been clear even before then. In particular, the upcoming IPOs of both oAI and Anthropic will likely be disastrous for the public - the floor is falling from under them and I don't know if they can be scrappy and work with fewer resources - their internal culture may not support this. We all knew in our hearts they're a commodity - just see how easily you can switch between the 2 of them - and now there are 10 more options costing a fraction. When Xi Jinping did the announcement of their open weights push, they might as well cancelled their IPOs....
OpenAI seems to understand that these guardrails hurt the good guys. This is why they released Daybreak Blue, which is a step in the right direction (but the model itself is weak as it's just Sol with fewer guardrails). Anthropic seems to believe that harming defenders is worth it if it means they can achieve regulatory capture. They do a lot of mental gymnastics to try to pretend that this is not actually what they are doing. As a result they have lost a lot of customer goodwill, which hasn't yet caught up with them yet, but absolutely will IMO.
Apparently they are scanning OSS and popular software at scale and disclosing the vulnerabilities they found: https://cvd.z.ai/ Most of these are under embargo, but it seems there are a lot of CVE here from a wide range of popular software, many considered critical or high. I understand the argument of "people are not actively looking", but isn't the cost for such a scan getting lower by the week, and Anthropic's Project Glasswing is supposed to find them quite a while ago?
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