Robert Jozic

Science

[Harrison Kinsley @Sentdex]

NVIDIA, with no solid competition, is out here competing against Moore's Law instead.

[Sam Altman @sama]

today we launched ChatGPT. try talking with it here:

https://t.co/uWra8LKFMN

[Jayson Cunanan @JsonMathsAi]

Tested #OpenAI ’s Whisper to translate a mix of languages to English fluidly, the results are 🤯. We demo using Filipino, English and Japanese.

We’d love to know what creators are thinking so we are opening a waitlist to try it yourself!

Sign up at https://t.co/pp04BdtndA🙌

[Robert Jozic @Jo14Robert]

@profgalloway 👍

[Katie Keith @katakeith]

NLP+CSS 201 (co-org w/ @alethioguy) is back! Social scientists, “level-up" your skills and join us for free, online, hands-on tutorials on text preprocessing, dialogue analysis, multilingual modeling, causal inference, uncertainty quantification, and more! https://t.co/G1wFQaX5yC

[Stas Bekman @StasBekman]

The 104B model training @BigScienceW had a 2nd BREAKTHROUGH after we added an Embedding LayerNorm. We discovered it while experimenting with BNB https://t.co/X1KdSIZZNC

But, alas, we run into new problems 10k iterations later.

Chronicles are here:
https://t.co/sUIpUS0cAG

[Google DeepMind @GoogleDeepMind]

Introducing #AlphaCode: a system that can compete at average human level in competitive coding competitions like @codeforces. An exciting leap in AI problem-solving capabilities, combining many advances in machine learning!

Read more: https://t.co/yaXfMWtEfe 1/

[hardmaru @hardmaru]

Scaling Laws for Transfer

https://t.co/m7Vh5aOTjx

[Paul Krugman @paulkrugman]

What I'm reading. The question is, who are the predators this time? Hint: it's not the short-sellers

[UCL CSML @uclcsml]

We thank @svlevine for his excellent talk "Data-Driven Reinforcement Learning: Deriving Common Sense from Past Experience" last Friday, now available on our YouTube channel. https://t.co/RfFMxmLivj

[VentureBeat @VentureBeat]

PlayStation accounts for over 40% of TV ad spend from gaming brands in 2020 https://t.co/UN9V6YSDY3

[@emilymbender.bsky.social @emilymbender]

Hey #NLProc (and AI folks working on language), can we just ... not?

https://t.co/Sf5tojVU3X

[World Economic Forum @wef]

How India's migrant workers are reskilling online https://t.co/uoFjKniX7j #migrant #careers https://t.co/173i0LeWd3

[Microsoft Research @MSFTResearch]

Reinforcement Learning Day 2021 will feature a lively debate between Prof Yoshua Bengio from @Mila_Quebec and Dr. @JohnCLangford. Reserve your seat now to watch their discussion on “The State of RL and The Theory-Practice Divide” on January 14 at 11 AM: https://t.co/mZJIG6rHYw

[Fisheyebox AI @Fisheyebox]

Mobility-as-a-Service - a global trend in motion.
Forecasts for the MaaS market,
Annual Average Growth Rates (CAGR) By 2025: 32% to 37%
Market volume By 2024: $ 158 billion to $ 174 billion

#selfdrivingcars #DataScientist #AI #DataAnalytics #ML #BigData #IoT #RStats #Serverless

[ipfconline @ipfconline1]

GPT-3 has 175 billion parameters/synapses. Human brain has 100 trillion synapses
How much will it cost to train a language model the size of the human brain?

https://t.co/RRYPesnoxx @lexfridman
#AI #MachineLearning
Cc @rwang0 @akwyz @SpirosMargaris @terence_mills @DeepLearn007

[Michael Auli @MichaelAuli]

Great progress in speech recognition: wav2vec 2.0 pre-training + self-training with just 10 minutes of labeled data rivals the best published systems trained on 960 hours of labeled data from just a year ago.

Paper: https://t.co/niBzDiei1j
Models: https://t.co/frCK1GJMZQ

[Ronald van Loon @Ronald_vanLoon]

10 Companies focused on Winning in the #AI Revolution
by @VisualCap @MikeQuindazzi

#ArtificialIntelligence #MachineLearning #DeepLearning #Robotics #DataScience #IoT #4IR

Cc: @loomiassistant @vilynx @zglue

[Robert Jozic @Jo14Robert]

How an Aversion to Masks Stems From ‘Toxic Masculinity’ - The New York Times https://t.co/vHgUFuq5dj

[Google DeepMind @GoogleDeepMind]

Want to learn representations that generalise in a self-supervised way? Our researchers propose ReLIC to show how to leverage causality to learn robust representations: https://t.co/HOUJtTMzg6

Work by @jovana_mitr, Brian McWilliams, Jacob Walker, Lars Buesing, @blundellcharles.