Can gzip be a language model?
A while back I wrote about language modeling without neural networks, where I generated Shakespeare with an unbounded n-gram model: no weights, no training, …
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The most popular blog posts about ai & machine learning on Hacker News. 6,306 posts.
A while back I wrote about language modeling without neural networks, where I generated Shakespeare with an unbounded n-gram model: no weights, no training, …
Using new techniques for scaling sparse autoencoders, we automatically identified 16 million patterns in GPT-4's computations.
Finetunes of Mistral, Llama3 and Solar LLMs are more accurate for my test data than OpenAI’s models.
Posted by Peter Liu and Xin Pan, Software Engineers, Google Brain TeamEvery day, people rely on a wide variety of sources to stay informed -- from ...
I have been learning about machine learning and deep learning (ML/DL) for the last year. I think ML/DL is here to stay. I don't think this i...
Funny how quiet everyone got.
Today, we’re excited to introduce Muse Spark 1.1, the latest model from Meta Superintelligence Labs and a significant upgrade from Muse Spark. Muse Spark 1.1 is a multimodal reasoning model built for agentic tasks, with major gains in tool and computer use, coding, and multimodal understanding.
[Hacker News discussion, LinkedIn discussion, Twitter thread]
Musings of a Computer Scientist.
Software ate the world. Agents are going to eat SaaS.
We built the heap, a 30 petabyte data storage cluster in downtown San Francisco, and spent under $500,000.
SUMMARY A hand-check of the 15,000 images in the widely used Udacity Dataset 2 found problems in 4,986 of them (33%), including thousands of unlabeled vehicles, hundreds of unlabeled pedestrians, dozens of unlabeled cyclists, and 217 completely unannotated images that contained real objects. Phantom annotations…
Many Google products (e.g., the Google Assistant, Search, Maps) come with built-in high-quality text-to-speech synthesis that produces natural sounding speech. Developers have been telling us they’d like to add text-to-speech to their own applications, so today we’re bringing this technology to Google Cloud Platform…
Picat is a research language intended to combine logic programming, imperative programming, and constraint solving. I originally learned it to help with vacation scheduling but soon discovered its planner module, which is one of the most fascinating programming models I’ve ever seen. First, a brief explanation of…
We replaced expensive sandboxes with ChromaFs, a virtual filesystem over Chroma, to give our docs AI assistant the ability to explore documentation like a developer would.
By now, you have probably heard of OpenAI’s ChatGPT, or any of the alternatives GPT-3, GPT-4, Microsoft’s Bing Chat, Facebook’s LLaMa or even Google’s Bard. They are artificial intelligence programs that can participate in a conversation. Impressively smart, they can easily be mistaken for humans, and are skilled in a…
What if this is as good as software is ever going to be? What if AI stops getting better and what if people stop caring?
In my old age I’ve mostly given up trying to convince anyone of anything. Most people do not care to find the truth, they care about what pumps their bags. Some people go as far as to believe that perception is reality and that truth is a construction. I hope there’s a special place in hell for those people.
We benchmarked Claude Fable 5 on 200 real-world coding tasks for the Agent Security League.
Recreating the used bookstore experience via contrastive learning, t-SNE, and 100M book reviews.
An easy to follow, visual introduction to PyTorch.
By Jay Lund . . . Artificial intelligence (AI) will affect many economic and natural resource sectors as these new technologies develop and mature. We are in the early years of this process. Like most new things, AI has become an object of small and great hopes and fears – from hopes for saving and
If an agent had a wallet, a computer, and 24 hours, could it run a profitable startup?
Discover Vector Databases: How They Work, Examples, Use Cases, Pros & Cons, Selection and Implementation. They have combined capabilities of traditional databases and standalone vector indexes while specializing for vector embeddings.
[This is a guest post by Amit Sahai. This blog post was initially written in a different file format and converted using AI. — T.] When I was an undergraduate student, I remember talking with…
I didn't expect to get so tired of reading LLM output.
Somehow I forgot to blog my site: https://lowbackgroundsteel.ai/ . I created it back in March 2023 as a clearinghouse for online resources t...
We’ve trained a model called ChatGPT which interacts in a conversational way. The dialogue format makes it possible for ChatGPT to answer followup questions, admit its mistakes, challenge incorrect premises, and reject inappropriate requests.