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2835
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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 2741–2760 of 2835 matching discussions
Hugging Face
comment
OpenAI’s accidental attack against Hugging Face is science fiction that happened
It is hard to convey how both chaotic and high pressure the working environment of the labs are if you have not worked at one. Engineers and researchers are routinely overworked with multiple high-priority workstreams at a time. It is very believable to me that a researcher noticed an eval job running for 2 days instead of 1, asked an engineer to look into it, and both forgot because a more urgent issue came up, such as an outage stopping the latest training run. From the Reuters article, the gap was even larger than a couple days: > ...it was not until after Thursday, July 16, when Hugging Face published a blog post.. that OpenAI realized its own agent was responsible. That meant at least a week elapsed between when the model first exhibited signs of troubling behavior and OpenAI’s re…
Hugging Face
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Open-weight AI is having its Kubernetes moment
It'll be pretty easy. Some US gov entity will create a list of models from Hugging Face, decree "thou shalt not provide access to these models", wrap it around some scary legalese for the pirates who try and that will be that. Though the legalese might not even be necessary. The list alone will make sure that no American company runs these on their servers, including the hosting providers.
Hugging Face
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Harddrive Is Probably Full
Asked Claude to look at my full disk. Thought for 1 minute It found 114GB of Hugging Face models, 17GB worth of models in an obscure app I tested once. In places I would've never thought to look. I'd never have never found these myself. Problem solved. For now!
Cohere
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The Hitler Salute Was Never German
I’m confused here. By your own writing the first depiction of that salute was from 1784 and you don’t provide any corroboration to the notion that it actually has any connection to any salute used by Romans. Jacques-Louis David could’ve painted the brothers dabbing or doing various stages of the Macarena (and if he did, he’d be closer in time to the popular use of those gestures than he was to ancient Rome) How on earth could you possibly know that it was “based on” some maybe-kinda-similar-or-not Roman salute, but it also definitely wasn’t used in Rome? It originated there but wasn’t used there? That isn’t a coherent position. It seems like you’ve established, with documentation, that an Italian guy saw and liked a painting made by a French guy that lived a thousand years closer in histo…
Cohere
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Politician reads AI prompt during assembly
You're absolutely right. Sure, I'll help you write a Hacker News comment explaining why politicians should have functional mental faculties and a coherent understanding of what they do during the course of their jobs and how their actions affect their constituents.
Cohere
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Engineering management after the cost of code collapsed
Generative language models have helped me most by drawing my attention to the importance of context, communicative compression, prompting, comprehension, coherence, and coordination in the domain of human groups.
Cohere
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The whole premise of checking for human writing is daft
The difference between the first and the rest is usually blindingly obvious: LLMs are really terrible at crafting their own coherent narrative.
Cohere
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The whole premise of checking for human writing is daft
>I don’t care whether you wrote every word with your bare hands. I care whether the thought is yours, whether you exercised judgment, whether the result deserves my attention and whether you’ll stand behind it once it leaves your screen. Alright, compare the following degrees of autonomy: - I wrote it, made sure everything's correct, let the LLM proofread it/translate it to English, and checked it afterwards - I had brief scattered notes with no coherent idea, then threw it at an LLM to make it an article in whatever way it feels best because I don't care - I had a three word prompt "Write about X", then a deep research agent spent ungodly amount of tokens and search and scraping requests, and put up an article (at least some grounding and it can depend on the harness quality) - I…
LangChain
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Claude Cookbook
I suspect certain workflows like langchain and others like it will retain usefulness into the future. Having deterministic steps before and after the llm is the way to go for anything that might be potentially harmful. Which I guess is what the harness does, but why be limited to a generic harness when we can use it to make specific ones for our needs.
ElevenLabs
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Show HN: Palmier Pro – Open-source macOS video editor built for AI
Great project! have you considered giving the agents code-based video rendering like MoviePy or Remotion? Since LLMs are mostly trained on texts and code maybe for edits use code based approach and for complex scenes fallback for seedance, elevenlabs mcp or connectors
ElevenLabs
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OpenAI and Anthropic unite against open-weight AI risks to their bottom line
I would rather we not lose the AI race so idiotically. Winning the AI race means letting OpenAI and Anthropic face market forces. Edit: Clearly other companies are doing well. ElevenLabs, Runway, FAL, RunPod, CoreWeave, Lambda, BaseTen, Lovable. These are real companies that didn't raise absurd amounts of capital. They've grown revenues at a solid clip, provide real value, and didn't go off the deep end with fundraising.
ElevenLabs
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EU fines Google €890M for competition breaches over search and apps
By what metric is Mistral competitive? And ElevenLabs is incorporated in the USA
ElevenLabs
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EU fines Google €890M for competition breaches over search and apps
Mistral and ElevenLabs seem to be doing pretty well. Also, here in the U.S., we’ve managed to screw up so badly on data privacy and basic rights that the EU has been systematically replacing their entire tech stack with sovereign components.
LlamaIndex
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Show HN: LongTerMemory Study tool with no subscription built with QDrant and RAG
Yes, I do semantic chunk to better split the text into coherent chunks. I even use Llamaparse api (by Llamaindex) to parsing any type of documents, images or imported study material, with a very high quality results. Llamaparse is great!
Qdrant
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Show HN: LongTerMemory Study tool with no subscription built with QDrant and RAG
Nice use of Qdrant for the retrieval layer.Curious how you're handling the question generation, are you chunking the study material and generating per chunk, or doing something more document-level?
Show HN: LongTerMemory Study tool with no subscription built with QDrant and RAG
After trying out various study tools, I decided to create my own. I wanted a quick and simple way to upload any study material, have the app generate questions, and then set up a daily review schedule. So, I built it by creating a RAG system and a scheduler to trigger the daily review sessions.
ElevenLabs
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GPT‑Live
I have. They are not to my taste. Here's a voice I really enjoy listening to. https://elevenlabs.io/app/voice-library?search=zNsotODqUhvbJ... If I could have Christopher Lee, or Stephen Fry, I would.
Show HN: A Pipeline for Making 10-minute AI Movies with Claude Code and Seedance
I've been working on this Claude Code pipeline for making 10-minute movies, gluing together Seedance (videogen), Nano Banana (image gen), and ElevenLabs (voice gen), and using Claude as the director. My repo contributes a markdown playbook and a worked example which should make it easier for other people to make their own short movies. A first-pass movie takes around 2.5 hours of wall clock time and costs around $200, and iterating is easy thanks to intermediate artifacts like storyboards and voice samples.
ElevenLabs
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Speech Recognition and TTS in less than 500kb
I made a little python wrapper around it to serve an HTTP endpoint that’s OpenAI/elevenlabs compatible https://github.com/clayrosenthal/bootlegger
LangChain
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LM Studio Bionic: the AI agent for open models
Wouldn't most opensource harnesses work with lmstudio? I assume it has an "openai" style chat API like every other model provider? What's special about it vs langchain deep agents or pi or pydantic-ai?
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.