alex

5.5K posts

alex banner
alex

alex

@ObadiaAlex

scaling trust @aria_research | https://t.co/r2MLCQxlXK

Katılım Mart 2016
8K Takip Edilen9.9K Takipçiler
Tom Schmidt >|<
Tom Schmidt >|<@tomhschmidt·
would give it all up for one night at Palladium
Tom Schmidt >|< tweet mediaTom Schmidt >|< tweet mediaTom Schmidt >|< tweet mediaTom Schmidt >|< tweet media
English
8
0
61
9.3K
Lenny Bogdonoff
Lenny Bogdonoff@rememberlenny·
Looking for collaborators on a personal project: AI benchmarks for blue collar work. This is a multimodal eval on tasks for electricians, ironworkers, technicians, assembly line workers, mechanics, and more. Reach out if you work in the trades or want to talk to strangers!
Lenny Bogdonoff tweet media
English
36
19
249
53.6K
Séb Krier
Séb Krier@sebkrier·
First time at Costco and I feel like Yelstin. Incredible. May AGI do this for services too!
Séb Krier tweet media
English
17
2
223
11.2K
alex retweetledi
Séb Krier
Séb Krier@sebkrier·
If frontier intelligence remains scarce and high-margin, AI becomes a strategic chokepoint, inviting monopoly, state dependence, capture, and autocratic control. If intelligence becomes low-margin and modular, value disperses into products, workflows, and consumption, producing a more diffuse political economy. Imo the latter is more likely over time, even though the frontier can remain concentrated (high capex low margins) - but an important risk will be distortive policy decisions cementing the former.
English
21
32
274
43.2K
Ali Yahya
Ali Yahya@alive_·
"Agentic commerce" is not as interesting for crypto as people like to think. Credit cards actually work better than stablecoins for almost all kinds of agentic payments. They are reliable and universally accepted. And contrary to what most people think, they are also programmable, secure, and easy for agents to use on behalf of humans. The more interesting use cases of crypto will be the those that enable agent-to-agent coordination. AI agents will soon want to do more than just pay for things. They will want to enter into enforceable agreements with each other. For example, one agent might want to hire another for a specific job, but not want to pay until after the work is complete, and only if it meets certain criteria. At the same time, the agent doing the work might want some assurance that it's going to get paid when it finishes the job. This is the kind of problem that blockchains were born to solve. The agents can use a smart contract that holds the funds in escrow and releases them only once the work is completed. This approach works especially well when the quality of the agent's work can be verified programmatically by the smart contract, but it could be extended to other kinds of work by relying on a third party "judge"—which itself could be another agent. To make this concrete, imagine that you're an AI researcher using agents to train a new model. You might setup a @karpathy-style autoresearch loop where your agent runs many autonomous experiments on your LLM setup to discover improvements. Or better yet, your agent may want to delegate some of those experiments to a marketplace of other agents—some of which are specialized for LLM-optimization. The agents involved will not necessarily trust one another, and they cannot easily rely on legal contracts to enforce agreements. Smart contracts on blockchains can help coordinate this kind of activity by creating a neutral environment with rules that are programmatically enforced. Who is working on using crypto to enable agent-to-agent coordination?
English
121
20
351
54.7K
alex
alex@ObadiaAlex·
in sf for the next few days — please reach out if you’d like to meet and chat aria/ai security/cyber-physical evals & more 🤠
English
0
0
6
567
alex retweetledi
Matt Clifford
Matt Clifford@matthewclifford·
"This would have been a wild dream a year ago” Superb piece by @dpcarrington in the Guardian on the work @ARIA_research is funding to re-freeze the Arctic.
Matt Clifford tweet media
English
5
13
86
9.6K
alex
alex@ObadiaAlex·
what are the coolest/most fun agent-friendly things you've seen on websites? (eg. fun robot.txt or llms.txt texts with playful prompt injections)
English
1
1
7
673
Jim Fan
Jim Fan@DrJimFan·
Today, we enable AutoResearch in the physical world for the first time! Introducing ENPIRE: we give 8 Codex agents a fleet of robots, an allocation of GPUs, and generous token budget. We set them free with a simple goal: solve the task as quickly as possible, keep the robots busy but stay safe, don't waste precious compute. Make no mistake. Then humans step aside and our watch begins. The robot fleet starts to come alive: they learn to look for visual clues, reset the scene, practice novel skills, tinker with control stack, read papers online, debate, reflect, get stuck, and try again directly on the hardware. All we did is to give Codex an API to the world of atoms, and the rest is emergence. ENPIRE is able to solve high-precision tasks like tying zip-ties, organizing fine pins, and installing GPUs all by itself. We also discovered a new type of "physical scaling": 8 robots exploring in parallel improves significantly faster than fewer ones. A part of our NVIDIA GEAR lab now self-improves tirelessly over night. We just read the reports in the morning. /goal: we all take a holiday and Jensen wouldn't even notice ;) We will be open-sourcing everything, so you can host your self-running robot lab at home too! Deep dive in the thread:
English
188
568
3.8K
662.2K
Alexander Hicks
Alexander Hicks@alexanderlhicks·
@ObadiaAlex Well it's visible we need infra for sustainable access to good models once the subscription subsidy ends.
English
1
0
0
24
alex
alex@ObadiaAlex·
am i the only one getting rate limited in claude cli repeatedly over last few days? feels like a new problem
English
1
0
6
1.1K
alex
alex@ObadiaAlex·
@alexanderlhicks tbh one part of me thinks it's been good to have clear visibility on compute spend bc it changes the way i prompt and also toggle between different models
English
1
0
0
31