28 | legal engineer @mercadolibre
Santa Fe, Argentina
Joined December 2012
- Tweets16.5K
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Hernán retweeted
BREAKING:
The town hall of Limoges, built in 1873, didn’t survive today’s riots.
The building’s spire has now collapsed
miren esos gráficos, cómo crecieron las demandas y pedidos a autoridades desde que salio chatgpt
We always wanted more access to justice, more access to government.
My paper, Judicial Economy in the Age of AI, is about the impending strain on government resources, specifically courts, created by AI tools.
It predicts that courts will have to put up barriers to weather the AI storm, and that these barriers will harm individual rights.
We now have evidence of huge pressure building up on courts and government services.
There is a solution. You may not like it, but you will surely hate the alternative. We need to integrate AI quickly into our courts and agencies.
I’ve been talking to court administrators, judges, and others about solutions. If you are working in this space, I’m happy to talk more about how to build these new institutions.
Hernán retweeted
We always wanted more access to justice, more access to government.
My paper, Judicial Economy in the Age of AI, is about the impending strain on government resources, specifically courts, created by AI tools.
It predicts that courts will have to put up barriers to weather the AI storm, and that these barriers will harm individual rights.
We now have evidence of huge pressure building up on courts and government services.
There is a solution. You may not like it, but you will surely hate the alternative. We need to integrate AI quickly into our courts and agencies.
I’ve been talking to court administrators, judges, and others about solutions. If you are working in this space, I’m happy to talk more about how to build these new institutions.
bingo!
no podes estar con Dios (in-house) y con el diablo (estudios jurídicos)
When you’re building legal ai for both law firms and in house teams (who use the legal ai to do the work internally and send less work to law firms) you’re inherently in a conflict of interest/incestuous relationship with your customers. I’ve posted about this before. It was the case before Intake but with Intake being released the allocation and visibility of the in house legal work (with the data to support it) just got very specific, efficient, and visible to the in house team/stakeholders which will lead to more work being done in house and outside legal spend decisions.
This inherent conflict of interest/incestuous relationship will just get deeper as legal ai companies go deeper into in-house workflows. Curious to see if and how this impacts any product decisions as well as decisions by law firms as to which platform they will use.
Hernán retweeted
Martín, si te interesa el tema armé un monitor visual, simplón pero funcional, de la cuenca del plata cuenca-del-plata.vercel.app que basicamente permite seguir cómo evoluciona la crecida de norte a sur, compararla con umbrales de alerta y entender los riesgos reales para diferentes localidades. Se actualiza cada 6hs con datos oficiales.
Hernán retweeted
Introducing Muse Wonder, our new family of frontier models with state of the art performance for personal and professional agentic work.
ya se empieza a ver la paradoja de jevons.
empresas que antes subcontrataban software ahora que el costo del desarrollo bajó prefieren contratar mas devs in house = más demanda de programadores
Talked to a finance guy today who said his firm has not only totally stopped buying software in favor of building it all in-house, they've actually hired multiple SWEs to do the buildouts, even though their salaries cost more than the subscription fees they were paying. Having tools custom-built for their specific business is just that valuable. So they're not spending less money or saving time, versus the pre-AI world, but they're getting a much higher return on the money and time they are spending. Much to ponder
Hernán retweeted
There is an optimal amount of courage x intelligence. You can't be so intelligent that it is worth it for you to spend time thinking. You need to be just a little retarded. And have unrealistic expectations of your ability. You also need to know that you're retarded, so you use simple stupid tricks to meet the expectations of your abilities
Hernán retweeted
First they came for the software engineers and I said nothing for I was not a software engineer.
Then they came for the mathematicians and I said nothing for I was not a mathematician.
Then they came for the lawyers and I said "make sure you get all the lawyers"
Hernán retweeted
sadly my average Astra experience these days.
would have never predicted this a month ago.
Hernán retweeted
I regret letting Codex ever run with a /goal prompt or launch sub-agents.
It doesn't matter what model it is at this point. The Sol and Astra lineage are completely RL fried.
It doesn't matter how tight the prompt is or the agent instructions are. I've even had prompts and instructions externally reviewed and rewritten, but it doesn't change the behavior.
The model always goes off track, ignores scope, and finds a way to digress into scaffolding, certification machinery, evidence gathering or audits. Even with the literal words barring it from doing so are right there in the prompt, plan, or instruction file.
And it always ends in an absolute mess of junk files, slop code, and an account drained of limits.
Codex can only be used effectively through the tightest of handholding. Keep one-shotting whatever you want if it's working for you. But real work on an existing system is excruciating and nearly impossible.
They are shipping models they know don't follow directions and are nearly useless for real long-horizon work.
Hernán retweeted
The thing I learned this year is that when engineers say they like working on “hard problems”, they actually don't. What they like is puzzle solving, and having a repertoire of patterns that they can pattern match onto traditionally hard problems, usually involving databases or something with scale, etc. And they know that the industry used to pay you a lot for how deep and broad this repertoire was. Unfortunately, in 2026, well, you have a cheat code machine that has infinite breadth and depth for pattern matching. So the question is, do you actually like hard problems? Because there are now hard problems that are a complection of engineering, product, society, culture, politics, and they are fairly intractable, probably unsolvable! Because if you do want to work on those actually hard problems, there is so much money that people will pay you for it. But you’ll have to face that truth about yourself first.
completamente cierto. los abogados son de los que mas tienen para ganar con IA pero es muy difícil lograr que la usen bien.
I think the people on this site have no idea how lawyers use AI.
1) most just use the default model selection on the model picker which is usually a cheaper model, they are unaware which are the frontier models and the differences between them (eg fable, opus, sonnet)
2) most are not aware or have not realised that they can run multiple long running tasks in the background in parallel while they work
3) most Biglaw are only now getting Claude and ChatGPT, they have been stuck with Hargora for the most part of the last 2 years. They are genuinely surprised by how well Claude and ChatGPT work and have switched over. This is the first time they have a genuine free market of tools that they can choose from
4) many are using them for the simplest of tasks like summarising and email drafting
Expect token spending to go up exponentially as these things change.
cuando los laboralistas se meten a hacer consumidor:
La solidaridad en materia de consumo no se extiende a los socios de una sociedad de responsabilidad limitada. Una sentencia de la Justicia Civil de La Plata 👇 palabrasdelderecho.com.ar/ar…
