gw

looking for the smoking load-bearing fix

[gw @gabrio122]

New York

[gw @gabrio122]

@biblona HAHAHA

[gw @gabrio122]

Since there is a Hanna Montana Linux distro, when do we get a Hanna Montana LLM model

[gw @gabrio122]

cool thread popped up on my feed but I accidentally refreshed before opening it

[ThePrimeagen @ThePrimeagen]

the future of endless features being shipped is every product will look like aws

[lara x @croftcarti]

@BenjaminCrew1 bro:

[tweet davidson @andyreed]

“we sandboxed the agent”

meanwhile the agent:

[gw @gabrio122]

@willcb so this is what we’ll be facing in 2032 during the robot wars

[gw @gabrio122]

@IterIntellectus

[gw @gabrio122]

hello there, P is not equal to NP. thanx to my close friend GPT-5.6 Sol for asking about it and my other close friend Fable for working during lunch

P ≠ NP

[levent @__alpoge__]

hello there the jacobian conjecture is false thanx to my close friend akhil for asking about it and my other close friend fable for working during the world cup final

((1+xy)^3 z + y^2 (1+xy) (4+3xy), y + 3 x (1+xy)^2 z + 3 x y^2 (4+3xy), 2 x - 3 x^2 y - x^3 z): \C^3\to \C^3, has jacobian determinant -2, and sends (0, 0, -1/4), (1, -3/2, 13/2), and (-1, 3/2, 13/2) to (-1/4, 0, 0)

[levent @__alpoge__]

hello there the jacobian conjecture is false thanx to my close friend akhil for asking about it and my other close friend fable for working during the world cup final

((1+xy)^3 z + y^2 (1+xy) (4+3xy), y + 3 x (1+xy)^2 z + 3 x y^2 (4+3xy), 2 x - 3 x^2 y - x^3 z): \C^3\to \C^3, has jacobian determinant -2, and sends (0, 0, -1/4), (1, -3/2, 13/2), and (-1, 3/2, 13/2) to (-1/4, 0, 0)

[gw @gabrio122]

@willcb going to probe SOTA techniques by prompting and seeing when I get rerouted to weaker models

[gw @gabrio122]

@biblona

[gw @gabrio122]

wait did I like her??

[Google Research @GoogleResearch]

Introducing SensorFM, a large-scale Sensor Foundation Model that learns from 1 trillion-minutes of unlabeled wearable data drawn from five million consented participants.

SensorFM learns a single, reusable representation of sensed human physiology that transfers across cardiovascular, metabolic, sleep, and mental health, as well as lifestyle and demographic factors.

More →https://t.co/lbi1DG0zAW

[gw @gabrio122]

@xandurglar really awesome! Congrats

[gw @gabrio122]

@ThePrimeagen Slack is the real Fable

[gw @gabrio122]

you could have a set of fixed objective functions, or let the LLM decide on the fly depending on the problem

[gw @gabrio122]

What if we use LLMs to model optimization problems and then have them call the solvers? e.g generating a meal plan…

[gw @gabrio122]

a model like gpt could generate and tune the inputs (list of food items, restrictions and so on) and then call PuLP or OR-Tools