ben

cs @uwaterloo | prev @tensormesh @databricks @vercel @meta

[ben @benbye]

@yashk_7 @lucasmaes_ Thank u ☺️

[ben @benbye]

I built LeMario from scratch, a JEPA world model trained directly on 737K Super Mario frames + controller inputs, with no rewards.

It predicts future states and uses CEM to control Mario over short horizons.

Based on LeWorldModel by @lucasmaes_.
Technical write-up below

[ben @benbye]

@shayaan_azeem @lucasmaes_ 🥺

[ben @benbye]

@adiprasadd @lucasmaes_ 🥹 thank u

[ben @benbye]

@kevinjosethomas @lucasmaes_ 😂 might need to update ur reward function

[ben @benbye]

@fahmi___omer @lucasmaes_ not as tuff as u 🥲

[ben @benbye]

@aalex_xu @lucasmaes_ 💕

[ben @benbye]

@chimcis @lucasmaes_ 🥲 ur too nice

[ben @benbye]

Here’s the full write-up of the project, the architecture, training process, failed experiments, and what eventually worked:
https://t.co/qR5bAzFE93
Code: https://t.co/3ixUPOqSWb

[ben @benbye]

@ryolu_ ayeee another fellow xteink user

[ben @benbye]

@kevinjosethomas He actually tweeted this shit

[ben @benbye]

@virkvarjun no longer doom scrolling

[ben @benbye]

@josh_soupy @vercel 👍

[ben @benbye]

@kevinjosethomas @PrimeIntellect Posted during work hours…

[Michael Zhou @michaelzixizhou]

I got into @ycombinator S26!

The past 6 months have felt like 2 years:
- Turned down 7-figure new grad offers at top companies
- Bootstrapped until my bank account hit zero
- Pivoted 5 times, and did door-to-door sales for a couple of months
- Joined @zfellows and flew out to SF last month
- Cancelled my return flight to Toronto
- Had wonderful neighbours I'd just met crowd-fund my apartment deposit
- Got the call from @aroraharshita33 6 hours after my YC interview

...all without telling my mom.

Codag is the crystallization of everything I picked up across infrastructure, systems, and platform engineering.

Our thesis is that within two years, agents will be the primary consumer of logs, and soon the primary producer of them. Today's observability stack and dashboards were built for humans to look at. Agents are a different reader entirely, and the infrastructure for understanding systems at scale has to be rebuilt for them.

That is what we're building. We start with log compression: turning millions of lines into a compact, cited capsule an agent can actually read, so it stops drowning and starts debugging.

I cannot believe I get to work on this full time - I wake up every day looking forward to building more. To everyone who made it real: @carterkev, @cory, @aroraharshita33, @amiklas, @nemild for taking the bet, the neighbours who backed a stranger with a laptop, and the countless friends that support me. Thank you.

We just published an open source CLI and algorithm for log compression, fully free at https://t.co/GmXKUIFTQf. If your agent debugs production, I'd love for you to try it, or just to talk. Got a lot more coming soon, and most of it will be open source.

Now I should probably call my mom 😰

[ben @benbye]

@fahmi___omer Scared of my gf now

[ben @benbye]

@shayaan_azeem @danielchingwq 🐐 goat

[Sheldon Lewis @sheldonblewis]

Excited to share i've joined @theworldlabs.

I'll be working on data infrastructure for pre-training of our Large World Models (see https://t.co/0K7VLSElMD).

[ben @benbye]

@sheldonblewis @kevinjosethomas @theworldlabs Goat!

[ben @benbye]

@mkachroo29 Excited to see what’s next!