391
PyTorch at the Edge: Deploy 964 TIMM Models on Android with TorchScript
Learn and deploy over 900+ cutting edge PyTorch classification models on Android.
392
Training and aligning LLMs with RLHF and RLHF alternatives
I frequently reference a process called Reinforcement Learning with Human Feedback (RLHF) when discussing LLMs, whether in the research news or tutorials.
393
Turing awardees republished key methods and ideas without credit
Whose Creators They Failed to Credit
394
When Will AI Take Your Job?
Cristiano Ronaldo makes 100 times more money than Pelé did in his prime. If you understand why, you’ll know when to expect an AI to take your job.
395
AI Is Useful for Capitalists but Probably Terrible for Anyone Else
AI is finally useful for business, and everyone is likely underestimating its impact. But unless AI is open-source and truly owned by the end users the future for everyone but the software providers looks grim.
396
An interview with Steve Wozniak by Jessica Livingston cured my AI anxiety
Note: there's no hidden knowledge contained in this post, it's just a reflection on how reading someone's reaction to an analogous situation...
397
Visualizing Neural Networks
A visual example-focused introduction to neural networks.
398
It Looks Like You’re Trying to Take over the World
Fictional short story about Clippy & AI hard takeoff scenarios grounded in contemporary ML scaling, self-supervised learning, reinforcement learning, and meta-learning research literature.
399
GPT-2 as step toward general intelligence (2019)
A machine learning researcher writes me in response to yesterday’s post, saying:I still think GPT-2 is a brute-force statistical pattern matcher which blends up the internet and gives you bac…
400
AI Written, AI Read cartoon
One piece of slang that has long embodied the short attention span Internet age is TL;DR, short for “too long; didn’t read.” With the explosion of generative AI tools, we’re rapidly entering the age of TL;DW: “too long, didn’t write.” A January survey from Fishbowl found that 40% of nearly 12,000 workers have used…
401
RLHF: Reinforcement Learning from Human Feedback
[LinkedIn discussion, Twitter thread]
402
The Scaling Hypothesis
On GPT-3: meta-learning, scaling, implications, and deep theory. The scaling hypothesis: neural nets absorb data & compute, generalizing and becoming more Bayesian as problems get harder, manifesting new abilities even at trivial-by-global-standards-scale. The deep learning revolution has begun as foretold.