dmvaldman

A ring you can talk into and it controls an agent on your phone. Eg say "pick me up" and an Uber arrives.

Looking for people who know hardware well. Let's get to know one another on a flight to Shenzhen :P

may the REM sleep gods light your path

thanks for catching this!

1000%

it's a lot of work, but something you could do is track how you feel (manually or some other way) and do a similar statistical analysis. chess elo was just convenient and aligned for me.

thank you! i think it's ridiculous how little they invest in their developer ecosystem. i have been thinking about jumping ship to oura or whoop simply because of this.

This misses that agentic LLMs are trained via RL to use specific tools. Adding custom tools is subpar to those the model has been trained with. That's why Claude Code has an advantage, over say, Cursor, by being vertically integrated.

i have a different take. i'm very glad flat earthers exist. in general i would hope the population of people who believe an idea be proportional to the probability of its truth. so even the wildest ideas should have some modicum of support. consider a world without this. i would imagine it would necessarily have to be thought-policed. i believe this is how we should frame this discussion.

what i think is the issue is that we have a broadcasting machine (social media, news, etc) that works on sensationalism. so you are always hearing about fringe ideas and given no signaling to the size of the population that supports it.

language will be the next interface to software. to get software to do something, you will simply ask it. this work is an example.

i've been documenting this theme in a twitter thread here https://twitter.com/dmvaldman/status/1358916558857269250

I think this is generally a good answer, but keep in mind I said AGI "in text". My forecasting is that within 3 years you will be able to give arbitrary text commands and get the textual output of the equivalents of "clean my house, take care of my kids, ..." like problems.

I also would contend that there is reasoning happening and that zero-shot demonstrates this. Specifically, reasoning about the intent of the prompt. The fact that you get this simply by building a general-purpose text model is a surprise to me.

Something I haven't seen yet is a model simulate the mind of the questioner, the way humans do, over time (minutes, days, years).

In 3 years, I'll ping you :) Already made a calendar reminder

what is the difference between zero-shot learning in text and AGI? not saying there isn't one, but can you state what it is?you can express any intent in text (unlike other media). to solve zero-shot in text is equivalent to the model responding to all intents.

many people have different definitions for AGI though. for me it clicked when i realized that text has this universality property of capturing any intent.

i think you are assuming that what is happening under the hood is that a human-inputted sentence is being parsed into a grammar. it is not.

Zero shot and few-shot learning in GPT-3 and lack of significant diminishing returns in scaling text models. Zero-shot learning is equivalent to saying "i'm just going to ask the model something that it was not trained to do"

AGI in text is < 3yrs away.

I think these are good examples, but to me "linear algebra thinking" lies in it's generality. For example, the derivative is a linear operator, so how do you write it down as a matrix? Google's PageRank is a solution of a matrix equation, what does that matrix represent? Etc.

80/20 rule? Make the problem simpler and deliver a better solution for it. Revisit and grow the problem space as needed.

[off topic] FYI, i found this comment by subscribing to the RSS feed of your HN comments on Fraidycat (by linking to https://edavis.github.io/hnrss/ for your username)

Very cool!

scratch everything i said. the tool can import any RSS feed. so you're 100% right, it can already do HN posts/comments/etc from specific people

thanks for sharing! did not know about this!

this could be the foundation of what my request was implying. it's the data pipe, but would need the frontend the OP is building

have you considered following hackernews profiles? (comments, posts, etc)

also, best promo video of all time and amazing concept. we'd be great friends IRL. alas.

thousands of people should be studying this. we’ll look back on these moments as the dawn of a new empirical science

You must start with labeled data. It is easier to label pictures of parked cars than it is to label pictures of good/bad driving. For labeled video, the dimensionality is out of reach of ML for now, and would add lag to your system.

This video (similar lecture, different audience) has the slides alongside the talk: https://www.youtube.com/watch?v=FITJMJjASUs

Still one of the best programming talks I've ever seen.

> It may seem stupid celebrating traveling 100km when you have 18 times that distance to go, but never underestimate the power of denial.

I think this quote applies well to entrepreneurship

This is a half-formed thought, but if you are blind, how would you perceive space? You can feel against a wall, but you will only be correlating time with locomotion (how long it takes to move your hand against a wall at a certain force) to create space. Spatial reasoning becomes temporal reasoning. (Ignore for the moment you can directionally locate by hearing). It makes this result even more fascinating to me that they are biologically linked to the same part of the brain, rather than one part compensating for another.

In Soviet Russia, car drives you.

You can walk out with the bag you came in with.

Co-founder of Standard Cognition here. Help us increase the accuracy, we're hiring :-)

https://angel.co/standard-cognition/jobs

It's amazing how many bright minds are paid to sort lists in a particular way.

Notice the subtlety. The first example on the site is:

sum_(i=1)^n i^3=((n(n+1))/2)^2

To render this in LateX as it is shown would be

\sum_{i = 0}^n i^3 = \bigg( \frac{n(n+1)}{2} \bigg)^2

No fracts, just "/", no parenthesis enlarging with "\bigg", no slashes or brackets.

Looks pretty nice :-)