Mockapapella

10x Vibe Programmer
0.1x Vibe Debugger
Please predict the next token responsibly

[Mockapapella @Mockapapella]

@RoboParty_DEV Looking forward to it, congrats on the launch!

[Mockapapella @Mockapapella]

@buildwithhassan Well now I can’t unsee it

[Mockapapella @Mockapapella]

Idea: solve leetcode hards to get social media time

[keysmashbandit @keysmashbandit]

I got Claude to vibecode me a Firefox extension where I have to do mental math quiz or a sudoku to earn Twitter time and it has more or less fixed everything for me

[Mockapapella @Mockapapella]

@theo Instantly switching to nightly because of this. Was a big annoyance with t3code

[Mockapapella @Mockapapella]

@sudoingX It’s limited to 4? That’s kind of a bummer

[Mockapapella @Mockapapella]

@MiaAI_lab Very helpful, thank you!

[Mockapapella @Mockapapella]

Software design for the microfactory is done to a first approximation. Now designing + acquiring hardware to make it a reality.

[Mockapapella @Mockapapella]

Just bought 2 of these. Robotics hardware and sensors are going to become as scarce as compute.

[Mockapapella @Mockapapella]

Was thinking about buying a 6 axis robot arm for this project, but then I remembered I already have a bunch of motors sitting around from a previous project!

Time (for Astra) to design a 6 axis robot arm

[Mockapapella @Mockapapella]

@embirico @matthewcanham FWIW I have been experiencing this as well

[Mockapapella @Mockapapella]

Despite this, I still get notifications from my dot. When I click on it the app opens to the default screen.

[Mockapapella @Mockapapella]

@soumyadeepb_ I really should. So much of the insights come from just playing around with the models and seeing what they are capable of. Plus it’s fun!

[Mockapapella @Mockapapella]

Just a reminder that if you follow me you are at least 3 months ahead of tech twitter, oftentimes more since I was holding out on posting this for a few months.

[Kun Chen @kunchenguid]

ok it's official... AI-written unit tests and integration tests are empirically proven to be unhelpful. you should tell your agents to stop writing tests by themselves

on the deepswe eval set, banning sonnet 5.5 high from writing any tests actually resulted in slightly higher success rate (non stat-sig), with less time and token spent (stat-sig). this is pretty hard empirical evidence

across the tests that were written by the "tests allowed" baseline arm, 65% of them were unit tests, 35% were integration tests, neither bucket resulted in any improvement compared to not writing any tests at all

i also picked a random sample of 44 tasks subset where i completely disabled executing even existing tests - it also did not affect success rate at all

i spot checked many tests written in the baseline arm, and my intuition is that most tests are simply a repetition of the implementation

agent-written tests do not add any value because both the implementation and the tests were simply the agent's interpretation of our intent. the tests aren't any more accurate than the implementation itself

i suspect we can still extract some value from unit tests and integration tests if we describe them ourselves when we believe we can articulate our intent better through test cases than through requirements. but i have not proven this yet

also worth noting, during deepswe eval the agent wrote almost no e2e tests (only 17, compared to 3000+ unit/integration tests written). so this analysis does not prove nor disprove the value of e2e tests - i will do another eval specifically for that

[Mockapapella @Mockapapella]

@theo Connecting 2nd and 3rd order implications of their design choices

[Mockapapella @Mockapapella]

This video has been popping off like crazy on YouTube! Likes and views have been trickling in all week. Kind of surprised by the longevity of it

[Mockapapella @Mockapapella]

OpenAI’s DevDay had some of the coolest swag I’ve ever seen: a modern, hackable Game Boy called the ModRetro Chromatic. Decided to use Codex to build something fun with it!

[Mockapapella @Mockapapella]

Deslop the world

[Vaibhav Sisinty @VaibhavSisinty]

Someone on Reddit reverse-engineered their LG TV because the Plex app took 30 seconds to load

Built an entire native Plex client from scratch using Claude Code, Opus, and Fable.

Started in C, moved to Rust, ended up building his own OpenGL UI framework along the way

Same TV. Same hardware. Profile picker now loads in 3 seconds instead of 30. Runs at 60 fps. Supports 4K, Dolby Vision, Atmos. Fully open source

One person. One TV he was annoyed with. AI tools doing the work of an entire engineering team firmware reverse engineering, media playback, GPU profiling, shader optimization, UI architecture, all of it

[Mockapapella @Mockapapella]

@KaAnDK That is really cool! I feel like there is definitely a place for hand tracking in the vision I have. Not sure where though. UX for it is going to be very important.

[Mockapapella @Mockapapella]

I will do this with voice and hook it up to a robot so I can talk to it like tony stark and have it build shit for me

[Kasper Marx Andersen @KaAnDK]

I have been thinking a lot about fast decision models the last couple of weeks since Jev launched. I wanted to take OpenAI's decisions api for a spin and made a simple document writer.

It reads as I write and decides whether I’m writing or prompting. That means I can prompt without moving my cursor to an input field.

[Mockapapella @Mockapapella]

Despite this, I still get notifications from my dot. When I click on it the app opens to the default screen.

[Mockapapella @Mockapapella]

> go to devday
> get access to dots
> go to Europe immediately after
> lose access to dots

Why is Europe like this

[Mockapapella @Mockapapella]

Underestimate the models at your own peril

[Mockapapella @Mockapapella]

This is frustrating and true. Until we find a general learning algorithm that is not based on increasingly niche and copious data collection/generation, we will not have AGI.

Practically speaking I’m not certain this matters much.

[Theo Jaffee @theojaffee]

AGI doesn't mean "really smart AI". It means "artificial *general* intelligence". A model that is wildly superhuman in mathematics but still can't replace an accountant isn't AGI (yet)