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Showing stories from 2024-06. View all

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AI-powered scams and what you can do about them (techcrunch.com)
How to build an AI data center (construction-physics.com)
ChatGPT is bullshit (link.springer.com)
Why you shouldn't use AI to write your tests (swizec.com)
ChatGPT is bullshit (link.springer.com)
Why so many bitcoin mining companies are pivoting to AI (time.com)
JARS.AI - Interactive AI Shows (jars.ai)
The Death of the Junior Developer (sourcegraph.com)
AI work assistants need a lot of handholding (gifted link) (wsj.com)
GitHub Copilot in 70 lines of JavaScript (github.com)
How’s your experience so far using LLMs for coding
What has been your experience using LLMs for coding. In what capacity have you been using LLMs when coding. For me it has been great tool i have been using chatgpt 4 and it has immensely helped me understanding new concepts , building scripts. and prototyping stuff
Vibe Check - Let AI find you the best things (vibecheck.market)
Secrets of the ChatGPT Linux system (incoherency.co.uk)
Scalable MatMul-free Language Modeling (arxiv.org)
Matrix multiplication (MatMul) typically dominates the overall computational cost of large language models (LLMs). This cost only grows as LLMs scale to larger embedding dimensions and context lengths. In this work, we show that MatMul operations can be completely eliminated from LLMs while maintain...
A discussion of discussions on AI bias (danluu.com)
llama.ttf (fuglede.github.io)
Anthropic's CEO on being an underdog (time.com)
Coders - AI Training (Remote Work, Contract) (boards.greenhouse.io)
LibreChat: enhanced ChatGPT clone for self-hosting (github.com)
Detecting hallucinations in large language models using semantic entropy (nature.com)
Building search-based RAG using Claude, Datasette and Val Town (simonwillison.net)
AI is exhausting the power grid. Tech firms are seeking a miracle solution. (washingtonpost.com)
How generative AI could reinvent what it means to play (technologyreview.com)
Experiences using a local voice assistant with LLM with HomeAssistant?
Researchers describe how to tell if ChatGPT is confabulating
Project Naptime: Evaluating Offensive Security Capabilities of Large Language Models (googleprojectzero.blogspot.com)
AI the product vs AI the feature (youtube.com)
On the Paradox of Learning to Reason from Data (2022) (arxiv.org)
Logical reasoning is needed in a wide range of NLP tasks. Can a BERT model be trained end-to-end to solve logical reasoning problems presented in natural language? We attempt to answer this question in a confined problem space where there exists a set of parameters that perfectly simulates logical r...
Chameleon: Mixed-Modal Early-Fusion Foundation Models (arxiv.org)
We present Chameleon, a family of early-fusion token-based mixed-modal models capable of understanding and generating images and text in any arbitrary sequence. We outline a stable training approach from inception, an alignment recipe, and an architectural parameterization tailored for the early-fus...
I will fucking piledrive you if you mention AI again