GENERATIVE AI - AI Dynamics

From the rise of #AI and the escalating #climate crisis to pivotal elections and evolving work dynamics, explore how the top 10 #global #trends of 2023 are set to reshape society and impact every individual, defining the trajectory of our world.

→ View original post on X — @bernardmarr

31 October 2023

AI automates content creation replacing manual writing tasks

By

@patio11

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31 October 2023 3h02

One of my old hacks used to be “Write one to throw away” and now I don’t even have to write it! I’ve got someone who will write literally infinite amount of good-enough-to-throw-away at any time!

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31 October 2023

Big Tech Open Sources AI Models While Debating Existential Risk

By

@ylecun

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31 October 2023 2h21

Well, at least *one* Big Tech company is open sourcing AI models and not lying about AI existential risk

→ View original post on X — @ylecun

31 October 2023

Pika AI video creation tool praised by community organizers

By

@pika_labs

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31 October 2023 2h10

Awesome job creators! Glad to see lots of Pika clips here thanks @SwayMolina for organizing

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31 October 2023

Create Cinematic Videos Using Pika Labs AI

By

@miketamir

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31 October 2023 2h01

Create Cinematic AI Videos with Pika Labs https://
bit.ly/45IRBG3 #AI #MachineLearning #DeepLearning #LLMs #DataScience

→ View original post on X — @miketamir

31 October 2023

Cerebras Accelerates 175B LLM Training with PyTorch Single Device

By

@cerebras

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31 October 2023 0h04

Cerebras presented at the PyTorch Developer Conference and covered how we accelerate Large Language Model (175B+) training using PyTorch, Torch-MLIR, and the simplicity of single device training without a single torch.distributed instruction Watch here:

→ View original post on X — @cerebras

31 October 2023

AI Model Size Regulation and Training Compute Requirements

By

@soumithchintala

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30 October 2023 23h27

Regulation starts at roughly two orders of magnitude larger than a ~70B Transformer trained on 2T tokens — which is ~5e24. Note: increasing the size of the dataset OR the size of the transformer increases training flops. The (rumored) size of GPT-4 is regulated.

→ View original post on X — @soumithchintala

30 October 2023