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2181
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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.
Attributed mentions
2181
Across all collected Hacker News results
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Showing 901–920 of 2181 matching discussions
V4 Pro 0813 isn't offered by other providers. I can't find this model on hugging face. It's probably not open, or not open yet.
I really find it mind blowing nothing else from what I've seen has really replicated it. Qt does an alright job but everything just seems to take 50% more effort to get it do the same.
I guess that's a logically coherent way of viewing it, but to me, that stretches the definition of "value" to be almost tautological; it's essentially saying "companies are founded to do the things that the people who found them want them to do".
> Prose? Don't care, I'm not writing literature, I'm delivering a message. If AI helps that be more clear and faster, great. What you've probably just never noticed is that voice is a critical part of communication in written form just as much as in speech. And this is especially true when communicating in a crowded public environment like the internet. Voice helps the receiver cohere your message as a distinct signal to pay attention to and draws it out from the noise of competing communication in their day, on their screen, etc. It helps them hear you -- and what you mean to say -- in your prose. It also gives the receiver subtle but meaningful insight into where you're thoughts are coming from culturally, experientially, and ideologically as your voice leaks that background informat…
They're also way more robust distributed systems. Imagine a compute substrate that was continuously mutating, dying, regenerating, cancering, being polluted by various environmental and self-generated contaminants (e.g. alcohol, adrenaline) yet all the while still able to function as a coherent whole. I think this is sort of the pipe dream of the Internet as a system that is robust under strategic nuclear attack. But us meatbags actually do it.
> So no, OP used the correct definition and no wide spread usage uses ~Q=>~P. That's a weird logical formulation that was randomly concocted. No, most logically coherent usage of that phrase absolutely does reflect ~Q=>~P, which was not "randomly concocted", but was rather was determined via logical reasoning. > Rule: It's hard to find a product that hasn't gotten worse or more expensive, even adjusted for inflation. > Exception: computers i think are more affordable now than even 20 years ago, in bang for buck > This proves the rule because if it's an exception to the rule, therefore the rule must exist in the first place. No, a standalone claim that contradicts the premise of a previously claimed general rule does not "prove" that original claim. If I say "it hasn't ra…
In my case it was interesting to note that the same prompt with different "Cringe Style" uses the exact same food analogy for a topic of tube amp superiority. Vulnerability: > Digital modeling amps are the Bluetooth earbuds of guitar amplification. Technically impressive. Completely missing the point. A Kemper can model a 1959 Plexi the way a photograph can model a meal. Truth To Power: > A modeling amp will simulate 47 vintage amplifiers and nail exactly none of them. It is a photograph of food. It looks correct. You cannot eat it. Another anecdote supporting the opinion that gluing the words in coherent paragraphs can hide the shallowness of the conceptual grasp behind it pretty well. PS: Had to override the JS to lift the limit a bit to paste the whole "crystal lattice" quote by …
I imagine they're expanding a bunch of notes and reports and research into an article, whose total size is not that much bigger than the "meat" of the inputs. The annoying LLM fluff is largely when someone is trying to inflate some simple information in size by an order of magnitude, e.g. turning three bullet points into an article. If you have enough of actual content to furnish an article, well, LLMs are excellent at restyling that into coherent prose.
This MacOS app used to be called LlamaBarn. Really excellent to see the fast progress being made. Official repo, also has documentation how to configure server parameters: https://github.com/ggml-org/Llama-macOS Small tip, install llama.cpp with brew before llama.app, which will pick up the existing llama.cpp. That way it's easier to stay up to date with llama.cpp, since llama.app is on a slower release cadence. Also, models installed with the hugging face CLI (hf) are picked up by llama.app automatically. The CLI will keep the model cache updated, e.g. when models get updated. Llama.cpp became part of Huggingface recently.
New Tamron lenses have built-in usb-c port close to the lens mount. The utility just replicates what official Windows/Mac software does - not much, configuration of focus-by-wire, corrections, button functions.
llama.cpp is like the ffmepg of AI, and one of the reasons I so greatly dislike ollama is that the latter completely obfuscates that they're a rebrand of the former. Georgi Gerganov and team did all the hard work; ollama is langchain-like VC-bait with a HF download wrapper.
Sad. I still use Dropbox personally and really like their use experience, but I just don't find enough use for it to pay for a service like that. The technology proved to be far too easy to replicate and they failed to build anything that would make users stick around, I guess. Maybe moving to workspace collaboration solution like Google docs was the play? As much as I hate it, capturing users and building a walled garden seems to be the only way to make it really big.
Yesterday I read that they sold a lot of TPUs to Anthropic as well as renting them out. This is odd, because I've constantly had issues with Google LLMs not having enough resources. Except for AI suggestions in Search, these work reliably.
> Should we all flag what comes out of OpenAI because of Sam Altman? Yes. I flag all press releases from all major AI companies. It's all just marketing spam, including this one.
Oh this looks very interesting, both for personal and work; I’ve been looking for something similar for quite a while. However, no OpenAI API support (just Anthropic + openai.com) means I can’t use it for either.
Oh this looks very interesting, both for personal and work; I’ve been looking for something similar for quite a while. However, no OpenAI API support (just Anthropic + openai.com) means I can’t use it for either.
- eventually they ll beat both openAI and Anthropic because I can literally hear google saying this in bane's voice - "Ah so you think data is your ally? you merely scraped data, i was born in it, moulded by it, did not spare a single user until I was already a man"
- eventually they ll beat both openAI and Anthropic because I can literally hear google saying this in bane's voice - "Ah so you think data is your ally? you merely scraped data, i was born in it, moulded by it, did not spare a single user until I was already a man"
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.