asaba bryan @basaba07

Move37 Joined January 2011

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Mahesh Sathiamoorthy @madiator

5 days ago

~2012 must have been like a crazy time. Neural networks were considered nonsense by most people. Hinton, LeCun and Bengio were the amongst the very few people who kept it all alive for decades. Alex Krizhevsky, a mad coding genius and a socially aloof kid, shows up to Hinton's…

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Vlad Mihalcea @vlad_mihalcea

2 weeks ago

As a software engineer, it's very important to learn about Gall’s Law, which states that complex systems cannot be created successfully from scratch. In reality, even large systems, such as Netflix, Google, or Facebook, have started small and built incrementally over the…

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Eugene Yan @eugeneyan

a month ago

after leading a few projects, i've found that once you've set up the evals + experiment harness and make it easy to tweak config and prompts with 1-click run + eval, teams enjoy running experiments and hill climbing those numbers, and progress comes quickly. but setting up that…

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Andrej Karpathy @karpathy

2 months ago

2024: everyone releasing their own Chat 2025: everyone releasing their own Code

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K Srinivas Rao @sriniously

2 months ago

Pattern recognition is the primary architecture of intelligence itself. When you can see the recurring structures in market cycles, human behavior, code bugs, relationship dynamics, or scientific phenomena, you're essentially running the same neural machinery that allowed our…

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Andrej Karpathy @karpathy

3 months ago

Some of the links: - My slides as keynote: drive.google.com/file/d/1a0h1mk… - Software 2.0 blog post from 2017 karpathy.medium.com/software-2-0-a… - How LLMs flip the script on technology diffusion karpathy.bearblog.dev/power-to-the-p… - Vibe coding MenuGen (retrospective) karpathy.bearblog.dev/vibe-coding-me…

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Ethan Mollick @emollick

4 months ago

Huh. Looks like Plato was right. A new paper shows all language models converge on the same "universal geometry" of meaning. Researchers can translate between ANY model's embeddings without seeing the original text. Implications for philosophy and vector databases alike.

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ollama @ollama

5 months ago

Multimodal model support is here in 0.7! Ollama now supports multimodal models via its new engine. Cool vision models to try👇 - Llama 4 Scout & Maverick - Gemma 3 - Qwen 2.5 VL - Mistral Small 3.1 and more 😍 Blog post 🧵👇

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Gautam Kedia @thegautam

5 months ago

TL;DR: We built a transformer-based payments foundation model. It works. For years, Stripe has been using machine learning models trained on discrete features (BIN, zip, payment method, etc.) to improve our products for users. And these feature-by-feature efforts have worked…

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Deedy @deedydas

8 months ago

Everyone should be using this website to understand the inside of an LLM. I'm surprised more people don't know about it. Benjamin Bycroft made this beautiful interactive visualization to show exactly how the inner workings of each of the weights of an LLM work. Here's a link:

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Naval @naval

8 months ago

Build it (well) and they will (eventually) come.

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Andrej Karpathy @karpathy

9 months ago

Now everyone can be a super popular live streamer influencer (to an AI audience 😂) amazing

Justine Moore @venturetwins

9 months ago

Now everyone can be a super popular live streamer influencer (to an AI audience 😂) amazing

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Z Fellows @zfellows

10 months ago

"A founder is not a job, it's a role, an attitude. And it's something that can happen again and again and again, and in fact it has to happen again and again and again, otherwise we would not move forward." — Jack Dorsey, co-founder of Twitter

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François Chollet @fchollet

12 months ago

A good heuristic about whether something can in principle be solved with deep learning: can it be done by an expert human 100% intuitively, without having to consciously think about it? If yes, then pure pattern recognition is an appropriate approach to the problem, and given…

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Philipp Schmid @_philschmid

12 months ago

This came unexpected! @OpenAI released Swarm, a lightweight library for building multi-agent systems. Swarm provides a stateless abstraction to manage interactions and handoffs between multiple agents and does not use the Assistants API. 🤔 How it works: 1️⃣ Define Agents, each…

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The Nobel Prize @NobelPrize

12 months ago

BREAKING NEWS The Royal Swedish Academy of Sciences has decided to award the 2024 #NobelPrize in Physics to John J. Hopfield and Geoffrey E. Hinton “for foundational discoveries and inventions that enable machine learning with artificial neural networks.”

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Ilya Sutskever @ilyasut

12 months ago

Congratulations to @geoffreyhinton for winning the Nobel Prize in physics!!

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Andrew Ng @AndrewYNg

a year ago

After a recent price reduction by OpenAI, GPT-4o tokens now cost $4 per million tokens (using a blended rate that assumes 80% input and 20% output tokens). GPT-4 cost $36 per million tokens at its initial release in March 2023. This price reduction over 17 months corresponds to…

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François Chollet @fchollet

a year ago

My general intuition about human intelligence is that spending more time on a problem will yield roughly linear improvement as a function of solution complexity (e.g. program length), within some complexity bound. That's what I see in software engineering, in particular. With 2x…