By popular request: Brave now has Containers!
In Brave for desktop, you can now separate your browsing sessions with a couple of clicks.
Here's what this means...
Gracias a @loterias_es y su sorteo de hoy, la @uclm_es ha entrado en 10 millones de hogares de nuestro país. Así, hemos celebrado los 40 años de nuestro inicio el 4 de octubre de 1985. Está ha sido nuestra suerte!!!! A las 15:50 estaremos en “La suerte en tus manos” de @rtve 1
Hermes Agent can now /learn from anything: feed it directories of any source material (code, API docs, manuals, PDFs, configs) and it distills a verifiable reusable skill
I love this! Santander has open-sourced its open-source AI initiatives.
The bank pushed 11 repos, live this week under Apache-2.0 on the code, but the data synthetic or anonymised only.
Quite a moment for a bank this size, putting its AI control layer on the open internet for anyone to fork. This is the bit every bank has to get right.
So what is it?
→ autoguardrails: a scaffold for stress-testing LLM guardrails, jailbreaks included (can we use this LLM?)
→ "mechanical governance" for high-stakes LLM decisions, with hard gates and governance metrics (can we trust an LLM with this decision?)
→ mutatis-mutandis: discrimination testing with counterfactual comparators, straight out of a published paper (very important if you're lending!)
→ stressed-datasets: public benchmarks republished in "stressed" form to probe model robustness in that scenario
→ gen-fraud-graph: a synthetic fraud-graph generator to benchmark fraud detection (really, really cool, need to dig into this one)
→ llm_bridge: a vendor-neutral client for OpenAI, Bedrock and Gemini, so you skip the lock-in (again, how many companies are struggling with this?)
→ ralph: their own spin on the Ralph loop, the run-an-agent-in-a-loop trick from the indie AI crowd
I think I need to write a whole Rant on each of these pieces.
The most important thing for a big regulated actor is "Can you show a decision was safe, fair, auditable, and the same tomorrow as it was today." Santander published its working answer and handed it to everyone, competitors included.
Why give it away?
1. Attract talent - this is a huge signal they've got their AI act together
2. Signal internally - We have these tools, use them
3. Give regulators confidence - Here's how we work, you can audit it
(The board that signs off on releases includes Legal and the CISO. That tells you how seriously they treat it.)
I've watched banks spend years trying to govern AI behind closed doors and ship nothing. Doing it in the open, with a contributor agreement and a proper open-source office, is a faster route to getting it right.
The banks that pull ahead from here will be the ones who can prove their AI works.
@bancosantander just open-sourced a head start.
Repo is here. 👇
https://t.co/IilShwzvl2
Con la IA se están haciendo ricos:
> empleados de la división de RAM de Samsung
> arquitectos de data centers
> financieros que preparan las salidas a bolsa
> abogados de empresas de contenidos, medios y productoras
(mientras los demás números rojos por tokens)
Era @policia, se llamaba Maria José García, participaba en el operativo para detener al comando Goierri Kosta, tenía solo 23 años, sacó la oposición en la primera promoción en la que se dejó participar a mujeres, era "su gran ilusión", con una carrera brillante. Solo con dos años de servicio tuvo 10 felicitaciones oficiales.
Ocurrió #TalDíaComoHoy de 1981 en #Zarautz, el etarra José Luis Eciolaza, el que le disparó a la cabeza, sigue huido 😳
¿Me ayudas 🙏🏽 a recordar a María José difundiendo este🧵? Gracias 👇🏿