For those impacted by the devastating earthquakes in Venezuela, Starlink is providing free service through July 25 to new and existing customers. We’re also working to rapidly deploy Starlink terminals and restore connectivity to the hardest-hit areas → https://t.co/QDjq988jt0
Leyendo sobre como Google "predijo" segundos antes el terremoto de Venezuela, realmente lo que hace es detectar que ya ha empezado en otro punto.
Los acelerómetros de móviles Android (los mismos que notan si giramos la pantalla) quietos pueden notar las onbdas sísmicas P (previas y menos destructivas).
Es la suma de miles de móviles lo que usa Google para estimae epicentro, magnitud probable y zona en que se va a sentir la sacudida.
El aviso viaja por internet más rápido que el terremoto por la tierra. Las ondas destructivas viajan mucho más despacio. Cada terremoto el sistema mejora, lo más difícil es distinguir entre temblores leves y potencialmente dañinos.
Un abrazo a todos los amigos de Venezuela.
https://t.co/1sE2WsNpdU
Google fue muy listo; usan los acelerómetros de miles de teléfonos Android cómo una red global de sismos, toda esa data se envía y Google logró una forma de detectar esas ondas a tiempo y enviar las alertas.
Today's executive orders are an important step to help ensure continued US leadership in quantum computing. Google was honored to participate in today's signing ceremony, and we look forward to continued collaboration with the U.S. government.
https://t.co/1sThAqH96Z
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
Un día como hoy, hace 42 años, los Chicago Bulls seleccionaban con el pick #3 a un joven de North Carolina llamado Michael Jordan
Lo que pasó después, es historia viva del deporte. Una de las mejores decisiones de la franquicia
The fact that orbital compute is (soon) the most efficient way to build datacenters says a lot about how much excessive regulation has harmed progress on earth.
It’s more efficient to fly to outer space than to try and build on land.
Freedom is always on the frontier.
The U.S. constitution was a breakthrough in that it protected citizens from tyrannical government. What it missed, and what we should try to integrate into the next constitution (on Mars, special economic zones, etc), is restraint against unchecked growth of regulation and government spending.
I’ve been slowly collecting proposals for how that could work. Might do a post on it at some point.
Midjourney announces the world’s first full-body ultrasound CT scanner
• Goal is to bring affordable full-body imaging to everyone on Earth
• Users are submerged in water during the scan
• Creates detailed 3D body maps in under a minute
• Can map more than 25 organs and anatomical structures in detail
• No radiation is used
• Working with the FDA for approvals on diagnostic use
• Plans to bring the tech to market by the end of 2027
(via @midjourney)
MidJourney just announced... a full body ultrasound! Yup... read on because it's as crazy as it sounds.
"As powerful as MRI and as casual as a trip to the spa"
They are calling it "the @midjourney scanner"
Insane details:
- First, the scale. The device uses 8,960 individual transducers arranged in a ring around your body
- The precision is the most jaw-dropping part: it resolves motion at the picometer range. It can image internal tissues finer than the width of an atom. We are talking sub-atomic level diagnostic capability
- The compute requirement is massive. The system processes 17 gigabytes of data per second.
It takes 40GB of raw data to reconstruct just one cross-sectional slice. And they are planning to scan 100 slices?
- Midjourney claims that fewer than 12 of these machines could perform more full-body scans than every MRI machine on Earth combined.
Welcome to the future of healthcare!
Not only these scanners are announced, they will exist in a "Midjourney SPA" - with hot tubs, saunas, cold plunges, and 9-10 whole body scanners.
What a brilliant $60B exit for Cursor to SpaceX today!
$4B in run rate growing 7x YoY.
The 4 25yo MIT founders will make ~$2.7B in a span 4yrs and first 50 hires ~$20-500M each.
A testament to why you should actually join early stage startups and of huge outcomes building apps on top of AI models.
CHINA ELIMINATES 12,000 ‘OBSOLETE’ UNIVERSITY DEGREES IN PUSH TO PREPARE FOR THE AI ERA
CHINESE UNIVERSITIES SCRAP 12,000 DEGREE PROGRAMS AS AI RESHAPES JOB MARKET DEMANDS
Tech companies will spend $650B on AI data centers in 2026 alone. For context: the entire Marshall Plan — which rebuilt postwar Europe across multiple nations and years — cost roughly $160B in today's dollars. We are funding civilization-level infrastructure at 4x Marshall Plan scale. Not over decades. Per year.