2821
The Default Trap: Why Anthropic's Data Policy Change Matters
A quick note on the importance of reading the terms of service!
Topics /
AI & Machine Learning
The most popular blog posts about ai & machine learning on Hacker News. 3,092 posts.
2822
2823
Sam Altman Is Full of Shit
Note: In my last newsletter, I said that my next post would be the second part of my Facebook autopsy. Don’t worry, that’s still coming, but given the recent drama between Sam Altman, OpenAI, and Scarlett Johansson, I felt the need to write something. Don’t worry, I
2824
Introducing the Predictive Interface
Stephen Wolfram gives a look into the new Predictive Interface technology in Mathematica 9. Users are provided a list of buttons for possible actions to take next based on what they have already done.
2825
Formalising modern research mathematics in real time
(This is a guest post by Bhavik Mehta) On March 16, 2023, a paper by Campos, Griffiths, Morris, and Sahasrabudhe appeared on the arXiv, announcing an exponential improvement to the upper bound on R…
2826
The future of interactive theorem proving?
This is a guest post, written by Zhangir Azerbayev. Zhangir is an undergraduate at Yale, majoring in computer science and mathematics. He completed this work while visiting Carnegie Mellon’s …
2827
The Trackers and SDKs in ChatGPT, Claude, Grok and Perplexity
Well for a quick weekend recap I’m going to look at which 3rd party SDKs and API calls I can find in the big 4 Android chat apps based. We’ll be using free data from AppGoblin which you can feel free to browse at any of the links below or on tables. Data is collected via de-compiled SDKs and MITM API traffic.
2828
2829
Large language models: Scaling laws and emergent properties
More details on the science of training large autoregressive language models.
2830
High Court rules that Getty vs. Stability AI case can proceed
While most of the attention regarding artificial intelligence and copyright has been centred in the United States, it’s useful to remember that one of the main pieces of litigation is taking …
2831
About That OpenAI "Breakthrough"
Will OpenAI’s Q* change the world?
2832
I'm Bearish OpenAI
A shift toward products and a research brain drain should ring your alarm bells
2833
AI Market Clarity
A subset of AI markets have crystalized in the last 12 months, with the likely market leaders for the next year or two suddenly clear
2834
Truth is not a direction: a Tarski attack on LLM probes
Abel Jansma is a scientist studying emergence, higher-order interactions, information theory, and complex systems across biology and artificial intelligence.
2835
Which kinds of GPT startups will thrive?
How to separate the wheat from the chaff when GPT-powered startups are popping up everywhere
2836
2837
Hacking with Claude on a $27 smart watch
The Pine Time is a $27 smart watch that runs open source firmware. I’ve had one sitting in the back of a drawer for a...
2838
SmolLM2
New from Loubna Ben Allal and her research team at Hugging Face: SmolLM2 is a family of compact language models available in three size: 135M, 360M, and 1.7B parameters. They …
2839
Design Patterns for Securing LLM Agents Against Prompt Injections
This new paper by 11 authors from organizations including IBM, Invariant Labs, ETH Zurich, Google and Microsoft is an excellent addition to the literature on prompt injection and LLM security. …
2840
2841
Real-time Drone object tracking using Python and OpenCV
After flying this past weekend (together with Gabriel and Leandro) with Gabriel's drone (which is an handmade APM 2.6 based quadcopter) in our town (Porto Alegre, Brasil), I decided to implement a tracking for objects using OpenCV and Python and check how the results would be using simple and fast methods like…
2842
Abusing vector search for texts, maps, and chess
Vector search isn't just for AI embeddings. Use HNSW for geo-spatial queries, stock covariance, chess positions, text tokens, and multi-modal recommendations with custom metrics.
2843
Reverse-Engineering Claude Web's MicroVM: Uncovering Anthropic's Hidden Antspace
Full stack developer, open sourceror, serial entrepreneur.
2844
Natural Language Corpus Data: Beautiful Data
Data files are derived from the Google Web Trillion Word Corpus , as described by Thorsten Brants and Alex Franz, and distributed by the Linguistic Data Consortium.
2845
Deep Learning from Scratch to GPU: CUDA and OpenCL
We generalize the network code and run it on the GPU. On an Nvidia GPU with CUDA, and on an AMD GPU with OpenCL. Even more - we mix both CUDA and OpenCL, jus...
2846
An Intuitive Explanation of Sparse Autoencoders for LLM Interpretability
Sparse Autoencoders (SAEs) have recently become popular for interpretability of machine learning models (although sparse dictionary learning has been around since 1997). Machine learning models and LLMs are becoming more powerful and useful, but they are still black boxes, and we don’t understand how they do the…
2847
AI is mass decompiling games. That's both awesome and scary
AI is now able to decompile games and software in a matter of days. That's scary... but kind of exciting.
2848
Why are executives enamored with AI, but ICs aren't?
Executives love AI while ICs stay skeptical. The divide comes down to non-determinism: who is evaluated on judgment versus deterministic execution.
2849
Management as AI superpower: Thriving in a world of agentic AI
Thriving in a world of agents
2850
In the long run, LLMs make us dumber
The comfort we get when offloading our cognitive load to LLMs is bad for us. Cognitive load should exist, and if we reduce it too much – if we stop thinking – we can actually unlearn how to think. Kids who always choose the easy route and copy their homework from other students eventually find […]