Joined May 2022
Society as a Service.
1
541
getbygenius retweeted
Replying to @MrBye32
I will test it on my ELY Gpui components elygpui.com It has around 1300 different components LoL 🤣
2
1
19
848
getbygenius retweeted
i have a competiton that is due here in 11 days gonna build on top of this here but make it so that you’re able to get your website a backlink too! Sick job Jason and team
Introducing OpenSource AEO Toolkit - Find every source AI cites, and the author behind it - Get your product into the sources AI trusts - 1¢ per prompt, no subscription - Access 4000+ data & services Try it at treg.to/aeo Partner with @cloroai Repo link below 👇
2
15
815
getbygenius retweeted
It’s important for your development as a person to have a solid 6 months where the only person who cares if you live or die is the gas station guy
80
1,767
182
19,847
388,824
getbygenius retweeted
just made entire Motion.dev port to GPUI
14
16
1
461
19,884
they nerfed this shi lol.
10
getbygenius retweeted
We shipped a new template with @circle. Give an agent a wallet to find marketplace services, estimate cost, and buy responses with USDC after you approve payment. mastra.ai/templates/agent-wa…
4
1
12
1,215
getbygenius retweeted
Building a ThreeJS skill for agents :)
7
1
37
1,137
getbygenius retweeted
Still using /frontend-design? ⭐ on github.com/juliobsz/skills
12
39
1
954
52,990
tern is legit the new emacs. 
17
getbygenius retweeted
Non-deterministic rules via decision models are about to radically improve AI codegen. Brace yourself for global desloppification.
38
30
7
1,118
127,534
getbygenius retweeted
Another ~25% CI speedup (for Node projects) Have Bun run the tests. Bun JUST shipped vitest support in 1.4+ Every AI will miss this one too 😵
13
6
2
325
28,516
Replying to @jrysana
I’ve been thinking about a solution for this. A local first rework of act… the core written in rust, deliver as wasm with wasix or wasip3, and thus extensible with any programming language. Github.com/ectorial/wsr
3
1
8
659
getbygenius retweeted
people will do anything but use fucking precommit hooks or self host their ci
the biggest bottleneck in AI development is actually waiting for CI bottleneck #2 is waiting for AI PR review bots
9
2
155
3,285
getbygenius retweeted
i'm scared i'm going to die of stress before things actually take off
12
3
2
152
4,782
getbygenius retweeted
For decades, researchers have sought materials that sort electrons by spin while their magnetism cancels. In 3 days, 90+ Opus 5.5 agents helped us uncover two room-temperature magnetic semiconductor candidates in simulations: YBaMnFeO₅ and KV[Cr(CN)₆]. KV[Cr(CN)₆] was synthesized back in 1999. Its predicted ability to sort electrons by spin appears to have been hiding in plain sight for 27 years.
187
581
374
7,984
1,364,484
getbygenius retweeted
Rust also has its own original sin. Slow compilation and bloated target/ directories are symptoms. The disease is a development process so slow that obvious improvements spend years waiting for permission to exist. People were proposing solutions like these before GPT-3.5 even existed. Cargo still can’t garbage-collect stale build artifacts. The solution is straightforward: track when artifacts are last used, then delete the ones nobody needs. This is engineering, not a research problem. And yet it still hasn’t shipped. Cranelift could make debug builds much faster. It’s still a nightly side quest. Cargo Script could let an agent run a one-off Rust program, pull in dependencies, and test an idea quickly. It’s been sitting on nightly for years. Every feature gets buried under fear of breaking something. Editions come every three years, and most changes are deliberately kept shallow. Rust has turned backward compatibility from a strength into a veto on progress. Agents don’t need a language dumbed down for them. Every agent is a coding genius. Give it a steep learning curve and it’ll climb it. What it can’t do is make a slow toolchain iterate faster. Rust has caught the C++ disease: so terrified of breaking the past that it can’t move fast enough to build the future. That’s Rust’s real original sin. In the Agent era, maybe the better choice is to move fast and make breaking changes across the ecosystem, so we can rethink these problems from first principles and reach better solutions sooner.
Golang has an original sin: from day one, it was designed for mediocre programmers—to minimize how much they need to learn and spare them steep learning curves. Agents don’t have that problem. Every agent is a coding genius.
19
15
4
197
18,016
getbygenius retweeted
Yielded Auth's core is now zero-dep (other than Effect, of course). Last update shipped a new crypto, jose, and oauth package. E2E type safety included on the jose signings. github.com/yielded-dev/auth
11
11
116
4,393
getbygenius retweeted
Been seeing a lot of Astra for real2sim, but what you need for robotics: physics and affordance. Our SOTA recipe specifically solves for: • Affordance: model object details that convey functionality. • Physics: calibrate simulation dynamics against real-world observations. Our agent has the action space of a “full-stack simulation engineer” and jointly considers geometry, materials, colliders, articulation, and physics. It automatically calibrates physics against real trajectories and matches task-specific dynamics. Simulation environments is useful only if it can provide meaningful policy level signals. Methods, comparisons, and results below.
31
66
15
581
121,034
getbygenius retweeted
Everyone's been saying software is solved, robotics is next. Robotics is getting there... this demo is insane.
Been seeing a lot of Astra for real2sim, but what you need for robotics: physics and affordance. Our SOTA recipe specifically solves for: • Affordance: model object details that convey functionality. • Physics: calibrate simulation dynamics against real-world observations. Our agent has the action space of a “full-stack simulation engineer” and jointly considers geometry, materials, colliders, articulation, and physics. It automatically calibrates physics against real trajectories and matches task-specific dynamics. Simulation environments is useful only if it can provide meaningful policy level signals. Methods, comparisons, and results below.
2
6
141
17,423