1321
Anthropic's growth just flattened
Look at the monthly numbers...
Topics /
AI & Machine Learning
The most popular blog posts about ai & machine learning on Hacker News. 3,091 posts.
1322
AI is making us work more
How tools that were supposed to free us up to find meaning work have exacerbated the rat race.
1323
Access to frontier AI will soon be limited by economic and security constraints
Soon, access to frontier AI will be scarce and selective
1324
1325
MCP doesn't need tools, it needs code
Exploration into providing MCPs with the most powerful of all tools: code.
1326
Using LLM for confidence scoring is a bad idea
LLM-based agents can do a lot of tasks. Or, at least, they can appear to do them. For example, they write code, summarize papers, plan trips, and fill in forms. If you ask one for a probability or a confidence score, it will give you one of those too. I have seen many agent designers use LLMs to generate confidence…
1327
Building Safe AI: A Tutorial on Homomorphically Encrypted Deep Learning
A machine learning craftsmanship blog.
1328
Deep Text Correcter
Alex Paino's Personal Site and Blog
1329
GPT-4 Designed a Programming Language
When the machines make machines, we're in a new world.
1330
How I Eat for Free in NYC Using Python, Automation, AI, and Instagram
Living and working in the big apple comes with big rent.
1331
Nvidia H100 GPUs: Supply and Demand
This post is an exploration of the supply and demand of GPUs, particularly Nvidia H100s.
1332
Deep learning on electronic medical records is doomed to fail
A few years ago, I worked on a project to investigate the potential of machine learning to transform healthcare through modeling electronic medical records. I walked away deeply disillusioned with the whole field and I really don’t think that the field needs machine learning right now. What it does need is plenty of…
1333
If DSPy is so great, why isn't anyone using it?
Any sufficiently complicated AI system contains an ad hoc, informally-specified, bug-ridden implementation of half of DSPy.
1334
Eduard: Swiss-Style Relief Shading for Maps Using Machine Learning
We first published our paper on relief shading using neural networks towards the start of October 2020, and now almost 2 years later, we are very excited to share Eduard .
1335
Grok {Shan, Shui}*: Advent of understanding the generative art
I spent 24 days digging into the code of {Shan, Shui}* Chinese painting generator and lived to tell the story.
1336
Fable Took My Job
Fable is cool yo, it takes jobs yo, - Dario "steve" Altman
1337
Let's properly analyze an AI article for once
Recently the CEO of Github wrote a blog post called Developers reinvented . It was reposted with various clickbait headings like GitHub CEO...
1338
Look, Another AI Browser
Yesterday, OpenAI announced Atlas, its AI browser. To the surprise of literally nobody, it’s Chromium with AI slapped on top. Perplexity also has a …
1339
The Q, K, V Matrices
At the core of the attention mechanism in LLMs are three matrices: Query, Key, and Value. These matrices are how transformers actually pay attention to different parts of the input. In this write-up, we will go through the construction of these matrices from the ground up.
1340
Getting started with linear algebra
I'd like to introduce a series of blog posts and their corresponding Python Notebooks gathering notes on the Deep Learning Book from Ian Goodfellow, Yoshua B...
1341
Fable and the end of the free lunch
Fable’s price ended the free lunch of ever-cheaper frontier models. Now we have to think about which model gets which work.
1342
GPT makes learning fun again
What will GPT unlock for the nerdy kid sitting in a 7th-grade classroom today?
1343
Perceptually lossless (talking head) video compression at 22kbit/s
Achieving extreme video compression rates using the LivePortrait model for talking head videos.
1344
Causal inference as a blind spot of data scientists
Throughout much of the 20th century, frequentist statistics dominated the field of statistics and scientific research. Frequentist statistics primarily focus on the analysis of data in terms of probabilities and observed frequencies. Causal inference, on the other hand, involves making inferences about…
1345
Don't Trust the Salt: AI Summarization, Multilingual Safety, and LLM Guardrails
“The devil is in the details,” they say.
1346
Running LLaMA 7B on a 64GB M2 MacBook Pro with Llama.cpp
See also: Large language models are having their Stable Diffusion moment right now .
1347
Matrices as Tensor Network Diagrams
In the previous post, I described a simple way to think about matrices, namely as bipartite graphs. Today I'd like to share a different way to picture matrices—one which is used not only in mathematics, but also in physics and machine learning. Here's the basic idea. An $m\times n$ matrix $M$ with real entries…
1348
We might all be AI engineers now
The models are good now. But most people still miss the point.
1349
Money bubble
I think I’m probably going to lose quite a lot of money in the next year or two. It’s partly AI’s fault, but not mostly. Nonetheless I’m mostly going to write about AI, because it intersects the technosphere, where I’ve lived for decades.
1350
Tenstorrent and the State of AI Hardware Startups
Semi-custom silicon is a bigger problem than Nvidia.