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2224
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A source-linked Hacker News monitor for the tracked company graph. These are attributable public discussions—not sentiment, endorsements, or unverified company facts.
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Showing 201–220 of 2224 matching discussions
Cohere
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Canada will match US tariffs 'dollar for dollar' as trade talks break down
>[China] has a better track record than the US; trivially, as every other country does. This is a fair take? Really. That "every other country" has a better "human rights" track record than the US, so countries including Russia. Or the oft-accused-of-genocide Israel. I don't think it's possible to coherently debate these policy moves when the starting point for the opposition is "I am choosing to be insane about my view of history and the position of the respective countries party to the dispute".
Anthropic
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A week of using Codex more than Claude
I mean, sure. If people tell me that they're avoiding Grok because of that bug, I sorta get it. I think it's silly (again: they're all hoovering up my data), but at least it's a rational basis related to the actual product. But let's be real: Musk exists as a polarizing political character, and his association with Grok just breaks some people's brains. A fair number of those people don't want to admit it, and just latch on to any rationalization other than politics. Anthropic could make the same mistake tomorrow, and I guarantee that we wouldn't be hearing about it in a week, let alone months from now.
Anthropic
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Anthropic appears to be A/B testing reduced effort levels in Claude Code
This is actually nonsense. More tokens means more capacity subscription and expense. Anthropic has enjoyed a high premium per million tokens because the quality per token was unusually high. Now it’s unusually low. This drives down the margin people will be willing to pay for the same number of tokens while driving up their capacity utilization. The economics are even worse for subscriptions. Opus models have degraded rapidly since March, with each release being considerably less useful and considerably more verbose. The language is no so weirdly florid it’s difficult to understand, and its logical conclusions are almost always suspect. It goes off on clearly bizarre snipe hunts to the point it feels like I’m using a gpt 3 model at times. It’ll announce that it’s about to embark on buildi…
Anthropic
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Anthropic appears to be A/B testing reduced effort levels in Claude Code
I love the idea that a single user will have collected enough data to demonstrate to Anthropic a clear regression due to this change.
Cohere
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Conway's Game of Life in real life
Cool! This is about an interactive display but initially I thought someone might have managed to make GOL into a physical automaton! Cells could physically sense neighbouring cell states and change their own states.. might still need a global clock to get coherent GOL behaviour but I think that would be fascinating! Also GOL (2,3/3) is only one out of about 1024 possible 2d totalistic CA rules, some of the others have interesting behaviours too and would be fun to be able to explore in the real world :)
OpenAI
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Why your local LLM feels dumber than it is
Qwen3.8-27B runs at 59.5 tok/s on my M4 Max, 40-core GPU, 128 GB I use it occasionally for classification and other tasks but I wouldn't trust those smaller models with the real work and for larger data processing it's too slow, e.g. a dataset I wanted to classify would've taken 56 days on my laptop vs just paying the cheap Luna prices to openai and getting it done in a few hours.
Anthropic
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Anthropic appears to be A/B testing reduced effort levels in Claude Code
I believe they are genuinely getting better for fully autonomous tasks. Anthropic seems to have gone all in on this, at the expense of more typical usage patterns.
Anthropic
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I set a trap for a book-marketing scammer (2025)
> In writing this article, Greene used Claude (Anthropic) as a tool for structure, data organization, and feedback. yeah, it was quite visible in style (in parts that I bothered to read)
Anthropic
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Why your local LLM feels dumber than it is
At least I'd be in control of model quality vs. when Anthropic decides to randomly drop the quality of their offering
ElevenLabs
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ElevenLabs, TwelveLabs, ThirteenLabs
11labs does _way_ more than basic TTS. The options, customizability, quality of voice cloning (for editing your own voices), etc is far more than what you see on the surface. Check out their docs for a glimpse: https://elevenlabs.io/docs/api-reference/introduction If you wanna hook up a voice agent to Twilio for support for example, 11labs is probably one of the quickest and least painful ways to integrate while still maintaining control over your agent and behaviors. Yes you can vibe code your own glue code, but try that in a large enterprise where you have to consider your team now taking on perpetual maintenance; and not having a vendor/SLA to just send tickets to when something breaks (or you want something new).
OpenAI
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old.reddit.com Now Requires a Login
im guessing since last year they banned so many real users, most with multiple accounts. they mustve lost genuine traffic to the site, which is mostly filled with AI/BOTS now, and is actually started to annoy people. also openAI, google needs constant fresh data to scrape. so i think reddits response was to force lurkers(who were likely banned before) to make a datamining account.
Anthropic
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English ↔ Claudish Translator
I wonder how annoying it would be to configure your harness to send Claude's non-tool output to a cheap non-anthropic subagent before displaying it.
ElevenLabs
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ElevenLabs, TwelveLabs, ThirteenLabs
Why would people use Fish instead of e.g. ElevenLabs? (I was a heavy TTS user in previous job, but we generally went with one of the "major" providers (11labs, PlayHT when they were still around), not any of the "new players".)
Anthropic
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NanoGPT Speedrun Frontier
“We ran 153 autonomous runs across 18 frontier models on the nanoGPT optimizer speedrun.” Uh.. okay.. but whats a run… read blog “We want to measure how well frontier models can conduct research….””we ran 153 autonomous runs on the nanoGPT optimizer speedrun across” Okay but what is a optimiser run and what connection does it have to being good at research? “For comparison, Anthropic's internal automated AI R&D evaluation optimizes a model on a CPU node,” So I should go look what Anthropic was doing to understand? Why not just explain what it means in their blog..
OpenAI
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A week of using Codex more than Claude
Pi by itself is more than capable, OMP is okay but you really don't need much for a great harness (these models are RL trained to hell to be a coding agent, sometimes less is more) I run a lot of SlopCodeBench - https://github.com/michaelasper/benchmarks Fable/Sol/GLM 5.3/Kimi are its league (in that order) Deepseek/Opus is solid Qwen 27B is the floor - there's no reason to use Sonnet/Terra/Haiku For everyday activity - I don't think you need to be using Sol (xhigh) for everything - unless you're made of money - I've found using Luna from OpenAI to be more than enough - it'll outreach to Opus/Sol when it needs to Haven't had access to Gemini 3.7 but we're getting it at work soon, will give it a go! Codex CLI is pretty bare bones in a …
Anthropic
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Anthropic appears to be A/B testing reduced effort levels in Claude Code
Yes and you suggested Anthropic have their coding agent refuse to attempt to solve anything it can’t find a preexisting solution to in case it turns out to be hard, if I understand you correctly. Knowing how hard something will be to do before attempting it is precisely the sort of impossible thing that it couldn’t do.
Anthropic
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English ↔ Claudish Translator
Is it possible Claude's distinctive style is intentional on Anthropic's part, as a sort of water-marking scheme?
Anthropic
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AI companies destroy physical books – let's scan rare books before it's too late
I believe you are referring to "The question for an AI company that can't return, sell, or donate the material after it has been scanned - are they then to pay to store it in a warehouse indefinitely?" and that you're arguing that a library could accept a donation. From Bartz v. Anthropic which was mostly about the pirated copies, but included some information about the destructive scanning, format shifting, and use as training as fair use. > Here, every purchased print copy was copied in order to save storage space and to enable searchability as a digital copy. The print original was destroyed. One replaced the other. And, there is no evidence that the new, digital copy was shown, shared, or sold outside the company. This use was even more clearly transformative than those in Texaco, …
Replicate
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Canada will match US tariffs 'dollar for dollar' as trade talks break down
It is: https://en.wikipedia.org/wiki/List_of_countries_by_GDP_(nomi... EDIT: Ireland very cleverly reduced corporate income taxes to lure in many multinational corporations. Kudos to them. I doubt Canada can replicate it. We have resources and resources are hard to move around. I hope we can get our economy to produce more added value products but so far that hasn't worked out.
Anthropic
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AI companies destroy physical books – let's scan rare books before it's too late
There was no judgment against them, it was a settlement and against only Anthropic. They asked their attorneys and they knew it was wrong. I have no sympathy for them. It's an insane kind of hubris to do what they did, thinking it would change the world, and that no one would notice what they did. So I don't even really agree with your characterization, as they were convinced what they were doing was a risk worth taking, on the assumption it would be successful.
Methodology: HN Search returns recent public items matching a monitored company name. AIIStack stores a short normalized excerpt and the original link, deduplicates by company/provider/item ID, and creates an activity signal only after a threshold of newly observed records. Review the original discussion before making a decision.