Self-hosted AI may not be for everyone, but I'm done paying for ChatGPT and other cloud models
…Related 7 things I wish I knew when I started self-hosting LLMs I've been self-hosting LLMs for quite a while now, and these are all of the things I…
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Tracked topic
LLMs
Large language models are machine learning models trained to predict and generate text and other language-based outputs.
Videos
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Vector Search with LLMs - Computerphile
Nicholas Carlini - Black-hat LLMs | [un]prompted 2026
AgentMerge: Enhancing Battlefield Issue Management with LLMs | AI and Games Conference 2024
A Compilation of Robots Falling Down at the DARPA Robotics Challenge
DARPA Robotics Challenge 2013: A Woodstock for Robots | The New York Times
Top stories
After self-hosting LLMs for a year, I realized that models are not the real bottleneck
1d agoMy self-hosted LLMs are a lot more than just a chat replacement – here's how they boost my productivity
3d agoLocal LLMs perform so much better when you teach them to ask before they answer
4d agoTrying to self-host LLMs made me realize local AI has a friction problem, not a quality problem
5d agoSummarization is not reasoning: How hybrid AI fixes failing AIOps
…At the same time, there’s growing excitement around large language model (LLM)-driven agents. While powerful, LLMs alone are not enough to deliver autonomous operations. Article continues below True agentic systems…
I replaced ChatGPT and Claude with this powerful local LLM and saved over $20 a month while gaining full control
…If anything, I’ve grown to love the 9B and 12B LLMs I’ve deployed on my server nodes, as I don’t have to worry about external firms gaining access to…
Storm Reply Taps EC2 C7i Instances on CPUs for LLM
…Storm Reply helps its customers deploy large language models (LLMs) and Generative AI solutions, among many other services. Storm Reply needed a cost-efficient, high-availability hosting environment to build its LLM…
Discussions and forums
Measuring LLMs' ability to develop exploits
Measuring LLMs' ability to develop exploits
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Measuring LLMs' ability to develop exploits
Measuring LLMs' ability to develop exploits
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Ask HN: Are LLMs creating busy work?
When I look at what engineers and non-engineers are doing with LLMs (Claude Code and friends) at any company, I'm finding more and more instances of busywork.Burning tokens is equated with making progress. More conversat…
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Is NVIDIA still the default best choice for local LLMs in 2026?
Is NVIDIA still the default best choice for local LLMs in 2026?
What rebuilding AlphaGo teaches us about self-play, RL, and future of LLMs [video]
What rebuilding AlphaGo teaches us about self-play, RL, and future of LLMs [video]
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Local AI isn't just Ollama—here's the ecosystem that actually makes it useful
…Related I don't pay for ChatGPT, Perplexity, Gemini, or Claude – I stick to my self-hosted LLMs instead There's no point in relying on AI tools when my local LLMs…
Paper page - Many-Shot CoT-ICL: Making In-Context Learning Truly Learn
…AI-generated summary In-context learning (ICL) adapts large language models (LLMs) to new tasks by conditioning on demonstrations in the prompt without parameter updates. With long-context models, many-shot ICL…
Prediction Guard De-Risks LLM Applications
…Many of the company’s clients recognize that LLMs can be game changers. Those organizations are looking to leverage LLMs in GenAI applications such as information extraction, customer service and analytics, marketing…
Talk like a graph: Encoding graphs for large language models
…This exciting progress is largely thanks to large language models (LLMs). New LLM technology is constantly being developed for different uses. Since graphs are everywhere and LLM technology is on the rise…
Silicon Valley has forgotten what normal people want
…I have other hobbies! The actual use for LLMs in most normal people’s lives is cheating on schoolwork. For adults, it’s looking up information — LLMs are in the process…
Cappy: Outperforming and boosting large multi-task language models with a small scorer
…As a result, the fine-tuned Cappy collaborates with a multi-task LLM, boosting the LLM's performance on the downstream task. In contrast to other LLM tuning strategies, adapting LLMs with…