KONAMI

COYG

[kache @yacineMTB]

behold. THE WORLDS FIRST SIX PENDULUM CARTPOLE SOLVE. Including a sponsor!

To solve this task, I built an environment to train an AI. This is what mechanize does, but for larger AIs. Apply! Salaries are up on their page

Thank you to mechanize for sponsoring!

[KONAMI @ODJ__]

Waited so long

[Google Research @GoogleResearch]

Introducing D4RT: A unified AI model for 4D scene reconstruction and tracking across space and time. 🎯 Catch the demo with Skanda Koppula at 12 pm at our #CVPR2026 Google booth kiosk! https://t.co/p6SclNe1zi @GoogleDeepMind

[Google Research @GoogleResearch]

Introducing D4RT: A unified AI model for 4D scene reconstruction and tracking across space and time. 🎯 Catch the demo with Skanda Koppula at 12 pm at our #CVPR2026 Google booth kiosk! https://t.co/p6SclNe1zi @GoogleDeepMind

[KONAMI @ODJ__]

Love how x just shows you what you need to learn when you need to learn it

[KONAMI @ODJ__]

@lucacarlone1 Good read . Also check out VGA

[Stijn Spanhove @stspanho]

🏃‍♂️ I've gamified my own run so I can race my own ghost with the Meta Ray-Ban Display.

I built a web app for the glasses, loaded a previous GPX from Strava, and dropped game mechanics on top.

Pick up coins when you keep pace, sprint zones reward extra points if you push, and a mini leaderboard on the lens shows how you're tracking against your past self in real time.

Best part: it actually works. Seeing your ghost 20 m ahead is a way stronger nudge than any number on a watch. 😅

[munii @m1nuyln2]

i love this team.

[dos santos aveiro🇵🇹🏴󠁧󠁢󠁥󠁮󠁧󠁿 @Flexdeyforyou]

Ucl final tomorrow and my team is involved. mikel arteta you bastard, you’ve changed my life.

[KONAMI @ODJ__]

Gen vs Gene

[Kylie Ying @kylieyying]

In my first week at @GeneralistAI, I trained a robot to pour liquids using GEN-1 🤖💧

I wanted to challenge the robot with a non-rigid manipulation task, so liquid felt like the perfect choice. The task involved:
- unscrewing the bottle cap
- pouring liquid into espresso glasses
- rebalancing uneven pours

Best of all, the robot was able to complete the task fully autonomously 3 times in a row (out of 3)! Pour-fect 😉

Excited for the journey ahead and grateful to be building alongside such an incredible team!

[KONAMI @ODJ__]

@HKydlicek Check out HumanEgo

[🥤𝐁𝐚𝐧𝐤𝐬 @_Afcbanks]

🚨BREAKING: Amad Diallo has offered himself to Arsenal.

Arsenal immediately alerted the police.

[Premier League @premierleague]

Conference League winners 🏆 🦅

Congratulations, @CPFC!

[KONAMI @ODJ__]

The things opus 4.7 can do, I know I’m not writing that amount of code 🤣

[Arsenal @Arsenal]

Boys to men.

[KONAMI @ODJ__]

Real2sim2Real

[Abhishek Gupta @abhishekunique7]

Punchline: distill world models from simulation to enable fast, stable real-world robot adaptation.

Simulation is nearly always wrong. But in Simulation Distillation, we ask a simple question:

How do we perform simulation pretraining such that real-world adaptation becomes trivially easy?

https://t.co/ORDaxU2gzs

Let's take a closer look (1/n)

[Spectre @spectre0799]

Shabang but the beat is Hickory Dickory Dock

[Ebere @EbereEze10]

I swear imma make It and when I do, they're gunna show this tweet lol

[nas @nas_nelli]

10/11 but who gafffff

[Arsenal @Arsenal]

We all deserve this ❤️