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When new software is introduced, I often hear people in companies say "I haven't been trained on it" as an excuse for not using it. But I've seen many of those trainings and they possibly can't provide a level of competence that would exceed watching a 5 minute YouTube video or

28 patients at an outpatient neurological clinic reporting headaches and many other problems post-COVID infection got PET and EEG with divergence from matched controls. This is not news, it doesn't make it REAL! At best it makes a small contribution to the existing literature.

Neuroscience has not made a meaningful contribution to AI since 1943. I don't think it's yet made any contribution to learning.

Some things that are secretly probabilistic: - internal combustion engines - batteries - bridges - road surfaces - chairs - lists about things that are secretly probabilistic - reading lists What sets these apart from LLMs? Let me know if you'd like me to reveal the secret.

The first person to teach something was not taught it. Most of what we know, we were not taught. Most of what were taught, we forgot. Yet, we somehow put teaching at the centre of our thinking about education.

My theory of teaching's contribution to learning: A scheduled time to be near content organised towards a subject. Time on task is the key determinant of learning. Most teaching gives you time near enough to the task you wouldn't have had otherwise. But it's never enough.

Two main observations from using LLMs on my week-long cycling holiday in the Netherlands: 1. Voice UX is barely useable-everyone's trying to make AI sound like a therapis-I need a speaking clock. 2. Memory in ChatGPT's projects is bad and useless for anything factual.

Has anybody figured out how to make Perplexity voice on the phone give answers that don't sound like press releases? I search because I want information, not something that sounds like it was written by a third-rate PR agent.

Knowledge is a kind of feeling. (...and vice versa)

The second most worrying three words you can hear from your doctor are: "in my experience"

You asked, and it's here: Gems with Canvas Make your own custom experts with Gemini Gems and get them to write docs and apps using Canvas.

Has anybody used a prompt framework recently or ever? I see them still share as if they're some big revelation of a secret. My prompting approach is - ask for what you want, see what you get and go from there. It's called a chatbot for a reason!

LLMs have no mental checklist. Here are some slides with examples on what I mean by it. Anna Mills, annamillsoer.bsky.social, she/her

There's potential to bite-sized learning except in practice the bite size displaces the learning. Yes! Learn in small bites, but take those bites often and chew them well. What this often devolves into is pretty little amuse bouche that satisfy the eye of the chef but feed noone.

Ok, here's a surprisingly difficult puzzle: How do you definitively and with 100% certainty answer the question: "How many different women are mentioned in Pride and Prejudice?" with and without AI!

Yet another 'AI-first' browser. Having played around with Dia and Arc, I've been finding it hard to switch as a browser power-user but I can imagine people with less muscle memory might find this an improvement.

Great study by METR and I appreciate the thoroughness and lack of clickbaitiness. Yes, this is about limits of the usefullness of LLMs in some scenarios but I think the key lesson is one of context and knowledge of the context. This is the bit in the full paper that

I despise cookies and often wish bad things on those involved in inflicting this idiocy on the world while I'm trying to find where to make a badly designed popup go away wasting my life on navigating the petty rituals of ethics bureacracy.

Common Anthropic - this is just pathetic. You need to do better on sign in. Anything you can do to make this less user hostile Alex Albert ? Having to re-login into Claude is starting to fill me with dread.

Bad AI writing, is bad human writing!