
builder & investor | ex @graphprotocol @decentraland | adeptus of the Omnissiah
Uruguay
Joined October 2007
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Todo lo que he visto de Deeplearning me hace pensar que quizás le hemos encontrado la vuelta a la AI o la inteligencia en general.
We could all be wearing masks in the future. abarmat.com/masks-on/
Good intermediate step before we start wearing masks.
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Ari retweeted
Esto es en lo que venimos trabajando fuerte en los últimos meses que es el fruto de dárnosla en la pera durante varios años.
Dagger es la 3era generación de CI después de Jenkins y GitHub actions. Si CI es un cuello de botella y cada vez les resulta mas caro, acá estamos!
Announcing Dagger 1.0 beta.
Replace Jenkins and GitHub Actions with CI that matches the speed and scale of coding agents without wasting compute or tokens.
Featuring: test-native CI, dev shells, local and remote execution, official modules, and more.
dagger.io/blog/dagger-10-bet…
I agree with this take. Any service that makes it difficult for agents to interact with them will be routed around in some way or another. Just support them in a proper way.
There’s a world of difference between user-authorized agents (Muse, Instinct, Grokbot, etc.) and true unauthorized/rogue agents that could constitute cyberattacks.
Most of the activity described in the Axios story appears to be the former: customers sharing credentials with agents so they can take actions on their behalf. This may violate bank terms requiring humans to log in themselves, but these are in no way cyberattacks.
The direction banks should go is to support user-directed agents. For example, Amex is an authorized connection in Muse, making it easy for users to grant, limit, and revoke access.
Read-only permission levels are a sensible interim step. Several banks already support or are moving toward them. Full write access (with user credentials) is a different risk category and should be approached carefully.
Frightening the public by blurring the line between user-authorized agentic behavior and cyberattacks is irresponsible.
Imagine this but with super persuasion. It's not just our machines which are vulnerable to super intelligence.
Cyber is going to be one of the most profound aspects of AI. We now have a tireless workforce that can hunt down, discover, patch, or attack any system and software ever created.
We will use agents to identify the long standing risks in existing systems and infrastructure. Attackers will use agents to accelerate the discovery of gaps in environments. We will equally use agents to defend attacks and discover anomalous patterns to better protect our data, and much more.
We’re entering a new cyber regime, and we’ll probably use 100X more tokens on this loop than we’re imagining right now, because we can scan every log, look at every line of code, look through traffic, and process data at a scale that wasn’t comprehensible before.
More than ever, enterprises are going to care deeply about how they manage their networks, systems, software, data, identity, devices, and more. Agents will largely become the solution to these challenges, but they will keep everyone up in the process.
I'm far more bullish "bring your own agent" than every app offering their own internal agent. The latter has a smell of intranet. The superpower of agents is aggregating heterogenous sources and make sense of them (including your personal context/history). Can't do that well with a single-app agent!
You need an army of agents that won't surrender easily. Historically hiring mercenary armies didn't do well. Use open models!











