Generative AI
Weird GPT token for Reddit user davidjl123, “a keen member of the /r/counting subreddit. He’s posted incremented numbers there well over 163,000 times. Presumably that subreddit ended up in the training data used to create the tokenizer used by GPT-2, and since that particular username showed up hundreds of thousands of times it ended up getting
... See moreLearned something interesting from the CEO of a fairly big tech co. Usually 28 year olds are more productive programmers than 22 year olds, because they have more experience. But apparently 22 year olds are now as good as 28 year olds because they're more at ease using AI.
Paul Grahamx.comAll three have different personalities and strengths, depending on whether you are coding or writing. Gemini is an excellent explainer but doesn’t let you upload files, GPT-4 has features (namely Code Interpreter and GPTs) that greatly extend what it can do, and Claude is the best writer and seems capable of surprising insight.
Ethan Mollick • Which AI should I use? Superpowers and the State of Play
Ethan Mollick’s comparison of the 3 main LLM models
For me, the goal is always to use AI to help people think better. Writing is thinking. That’s it. And if we don’t forget that, I believe the future of writing is going to be very exciting indeed.
Nathan Baschez • Writing with Machines
I can give it a video of my screen as I use my computer, and it accurately understands what I am doing and what I could do better. This allows the AI to work, for better or worse, as a manager or advisor based on observing the real world.
Ethan Mollick • Which AI should I use? Superpowers and the State of Play
Ethan Mollick explains how Gemini brings us a step closer to the idea of your “AI Chief of Staff” (Cal Newport)
"A key challenge of (LLMs) is that they do not come with a manual! They come with a “Twitter influencer manual” instead, where lots of people online loudly boast about the things they can do with a very low accuracy rate, which is really frustrating..."
Simon Willison, attempting to explain LLM
Younger workers benefit more from labor-augmenting tech, like AI.
“In other words, workers who were used to doing things a certain way struggled to adapt when complementary technology arrived, while less-experienced workers could harness the power of these new tools.”
Source: Kellogg Insight
Over the next year or two, I expect GPT-4 and its successors to become a copilot for the mind: a digital research assistant that will bring to bear the sum total of everything you’ve read, everything you’ve thought, and everything you’ve forgotten every time you touch a keyboard.
It will solve some of the perennial problems in productivity culture:
... See moreDan Shipper • GPT-4: A Copilot for the Mind
@emollick Put in the reps. If you aren't hitting the chatGPT cap multiple times a day, you have 0 business reading a research paper
The open area of research is what can we use LLMs for, not how do we build better LLMs
and the papers are outdated anyways
Nick Dobosx.com