Maneesh @maneeshchauhan

Joined April 2009

Tweets

920
Followers

465
Following

2K
Likes

6K

Andrej Karpathy @karpathy

7 months ago

New 3h31m video on YouTube: "Deep Dive into LLMs like ChatGPT" This is a general audience deep dive into the Large Language Model (LLM) AI technology that powers ChatGPT and related products. It is covers the full training stack of how the models are developed, along with mental…

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Deedy @deedydas

10 months ago

Programming languages have widely varying ability to communicate logic succinctly. If you look at character counts of 10 basic programs in each, Java has 2x higher entropy than Python. Very different result for natural spoken languages.

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DHH @dhh

a year ago

If more developers ran Linux on their desktop, maybe they wouldn't be so petrified of running a server by themselves. We are unlearning the basics of the Internet at an alarming rate.

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Dan Go @FitFounder

a year ago

Small habits = Big results.

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Historic Vids @historyinmemes

a year ago

Nvidia CEO: This is the largest GPU the world has ever seen and the total R&D cost to build it was $10 billion.

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dax @thdxr

a year ago

the cloudflare x baselime acquisition is crazy no cloud provider has a detailed logs product that goes that hard on things like otel if cloudflare starts to have that kind of thing baked in...i can see that being a huge deal

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Cloudflare @Cloudflare

a year ago

Baselime is now part of Cloudflare, bringing cloud-native observability to the Cloudflare developer ecosystem. cfl.re/4aoiHpd

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Finnish Center for AI 🦣 @[email protected] @FCAI_fi

2 years ago

Applications are open for the doctoral program in AI! 🎓 100 fully funded PhD positions across 10 Finnish universities 🧭 Collaboration with industry Professors @arnosolin and @lauraruotsa introduce the program in this video 👇 Apply here by April 2 ➡️ fcai.fi/doctoral-progr…

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Carlos E. Perez @IntuitMachine

2 years ago

1/n Are AI Forecasters the Next Big Thing? How A.I. Learned to Make Freaky Accurate Forecasts New research unveils an ingenious system that unlocks the untapped potential of artificial intelligence to predict the future. Drawing on the burgeoning prowess of language models to…

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Mario Fusco @mariofusco

2 years ago

I often wonder why most modern software is so mindbogglingly complex, with multiple layers of abstraction stacked on each other. This morning I bumped into this that I believe explains at least a relevant fraction of the reason. gksoft.com/a/fun/architec…

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What's New on AWS (Unofficial) @awswhatsnew

2 years ago

API Gateway now supports TLS 1.3 API Gateway now supports version 1.3 of the Transport Layer Security (TLS) protocol on its Regional REST, HTTP, and WebSocket endpoints. TLS 1.3 on API Gateway works by of... aws.amazon.com/about-aws/what…

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Sundar Pichai @sundarpichai

2 years ago

As one example of 1.5 Pro’s sophisticated multimodal understanding and reasoning capabilities with long context, when given a 44-minute silent film, the model can analyze various plot points and events, and even makes sense of small details you might have missed.

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Borriss @_Borriss_

2 years ago

It is a historic day for AI. The new text-to-video model by OpenAI Sora can generate videos indistinguishable from real ones. 7 examples:

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Sam Altman @sama

2 years ago

here is sora, our video generation model: openai.com/sora today we are starting red-teaming and offering access to a limited number of creators. @_tim_brooks @billpeeb @model_mechanic are really incredible; amazing work by them and the team. remarkable moment.

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Jeff Dean @JeffDean

2 years ago

Gemini 1.5 Pro - A highly capable multimodal model with a 10M token context length Today we are releasing the first demonstrations of the capabilities of the Gemini 1.5 series, with the Gemini 1.5 Pro model. One of the key differentiators of this model is its incredibly long…

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Vlad Mihalcea @vlad_mihalcea

2 years ago

Source code comments

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Maneesh @maneeshchauhan

2 years ago

This is honest to god cool, had to share 😎✨️🙌

Massimo @Rainmaker1973

2 years ago

This is honest to god cool, had to share 😎✨️🙌

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Brendan Falk @BrendanFalk

2 years ago

@QuinnyPig @awscloud We have two main features: 1) CLI completions and 2) AI powered English to bash translation CLI completions are fully local. Once the app has loaded, you can turn your internet off and it will just work. AI english to bash translations are fully opt in. The only data we send is…

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Max Howell @mxcl

2 years ago

@thdxr Homebrew was good at the time, but I agree it's stale nowadays (I pushed it out in like 2009) so I built a new one pkgx.sh

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Chris Richardson @crichardson

6 years ago

The monolithic architecture is a pattern - not an anti-pattern: microservices.io/patterns/monol… You want to pick the simplest architecture that meets your requirements, especially development requirements: maintainability, testability and deployability. 1/n