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…
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LLMs
Large language models are machine learning models trained to predict and generate text and other language-based outputs.
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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
Why Generic LLMs Fall Short for Critical Engineering Documentation - Semiwiki
3d agoKI-Forschung: LLMs glauben Lügen trotz expliziter Warnung - Golem.de
3d agoLLMs believe false statements even after explicit warnings that they're false
4d agoMy self-hosted LLMs are a lot more than just a chat replacement – here's how they boost my productivity
1w agoASUS Answers the Need for an Asian Large Language Model
…This includes no-code LLM services to lower the adoption curve, LLM production for the more advanced, and LLMs that include ASEAN languages like Vietnamese. This will rival the value of Western…
Advancing Emerging Optimizers for Accelerated LLM Training with NVIDIA Megatron | NVIDIA Technical Blog
Developer Tools & Techniques Advancing Emerging Optimizers for Accelerated LLM Training with NVIDIA Megatron Apr 22, 2026 By Hao Wu , Dheevatsa Mudigere , Mikail Khona , Sangkug Lym and Dingqing Yang Discuss (0) Discuss (0…
I replaced my local LLM with a model half its size and got better results — And it wasn't about the parameters
…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…
Discussions and forums
Using LLMs to secure source code
Using LLMs to secure source code
1
Measuring LLMs' ability to develop exploits
Measuring LLMs' ability to develop exploits
3
Measuring LLMs' ability to develop exploits
Measuring LLMs' ability to develop exploits
3
Measuring LLMs' ability to develop exploits
Measuring LLMs' ability to develop exploits
5
Is NVIDIA still the default best choice for local LLMs in 2026?
Is NVIDIA still the default best choice for local LLMs in 2026?
Paper page - MASCing: Configurable Mixture-of-Experts Behavior via Activation Steering Masks
…AI-generated summary Mixture-of-Experts (MoE) architectures in Large Language Models (LLMs) have significantly reduced inference costs through sparse activation . However, this sparse activation paradigm also introduces new safety challenges. Since…
I ditched LM Studio for llama.cpp, and my local LLM doesn't feel like a downgrade anymore
…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…
Bring Optimized AI Models to AI PC with OpenVINO™ Toolkit
…AI model inference, even for large language models (LLMs), can be run on edge devices and AI PCs. We explain the steps needed to fine-tune LLMs on an Intel Gaudi 2…
Mixture-of-experts models quietly changed what hardware you need for local AI
…Related 8 local LLM settings most people never touch that fixed my worst AI problems If you run LLMs locally, these are the settings you need to be aware of. MoE models…
Paper page - Counting as a minimal probe of language model reliability
…Dissociating Reasoning from Output in LLM Logic (2026) Robust Reasoning Benchmark (2026) How do LLMs Compute Verbal Confidence (2026) Silent Commitment Failure in Instruction-Tuned Language Models: Evidence of Governability Divergence Across…
2026 Outlook with Steve Roddy of Quadric - Semiwiki
…In 2025, the conversation changed almost overnight from “Is it possible to run an LLM on device?” to “We must run LLMs on device.” On-device LLMs moved from experimental to mainstream…