panti 🇪🇺
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@unaigil99 @jvrsanch Sí. ¿Qué crees que podría no desarrollarse in-house con este planteamiento?
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@panticlaws @jvrsanch Ahora tienen más capacidad para producir. Pero es que la barra de buscador es quizá la herramienta más usada en un marketplace... Es el eje de su producto Tech, me parece totalmente lógico que lo desarrollen in-house.
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Al final el vibecoding si que sustituye al SaaS 🙃
Jaime Novoa@jaimenovoa
Jose Ramon Perez Aguera, CTO/CPO de @Mercadona Tech, sobre cómo reemplazaron Algolia (€9-15k/mes) por un desarrollo propio para la web de Mercadona 29 decisiones técnicas que la IA no tomó. Las tomó un equipo con experiencia. El resultado: +85% de mejora en ranking, 0% búsquedas sin resultados (antes 4%), y de $9-15K/mes a menos de $900/mes.
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panti 🇪🇺 retweetledi

The breast is not just feeding the baby. It is reading the baby.
When a baby feeds at the breast, the same suckling action that draws milk out also pulls a small amount of the baby's saliva back into the nipple and into the milk ducts. Scientists call this "retrograde duct flow".
This hypothesis was put forward by lactatiom biologists and they are gathering evidence through research - If the baby is sick, that backwashed saliva carries traces of the infecting pathogen into the mother's breast tissue. Her immune system detects it, identifies the threat, and begins manufacturing targeted antibodies. These then appear in the very next feed of milk delivered to the sick infant.
Human studies have steadily supported this. Riskin et al. (2012), published in Pediatric Research, demonstrated that when nursing infants were ill, their mothers' milk showed a dramatic surge in white blood cells, particularly macrophages, along with raised levels of TNF-α, a key inflammatory signal. These levels fell back to normal once the baby recovered. Mothers of healthy babies showed no such changes.
Hassiotou et al. (2013), in Clinical and Translational Immunology, confirmed that both maternal and infant infections trigger a rapid leukocyte response in breast milk. Then a landmark 2022 study in Nature provided the clearest mechanistic proof yet. It tracked a virus from an infected mouse pup's saliva, through the nipple, into the mother's milk ducts, and demonstrated a subsequent antibody surge in her milk.
Taken together, the evidence describes a mother and infant in quiet, continuous biological dialogue through the breast. Illness whispered through saliva. Answered in medicine. Still remains a hypothesis but the evidence is piling up.
Dr. AK 🇮🇳@docakx
Tell me a beautiful medical fact.
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@unaigil99 @jvrsanch Eso no es lo que se está discutiendo aquí, sino que el modelo SaaS ya no es válido porque te lo puedes hacer tú mismo. El equipo ya lo tenían antes y usaban Algolia, ahora con IA ya no.
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@jvrsanch Pero si literalmente dice que tienen un equipo de Ingenieros detrás y que hay 29 decisiones que han tenido que tomar internamente... Facilita la construcción, gracias a tu equipo de ingenieros, de ese % de features que tu SaaS te aporta.
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panti 🇪🇺 retweetledi

NFLX Earnings LIVE: Netflix Q1 2026 Results, Call & Reaction (+AA) | With SMB Capital x.com/i/broadcasts/1…
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panti 🇪🇺 retweetledi

panti 🇪🇺 retweetledi

The name of the company… NewBird AI. It is a cutting-edge, AI-native cloud infrastructure firm out of- well, they used to be out of San Francisco making sneakers, but forget that, John- they are now awaiting imminent deployment of next-generation GPU compute clusters that have both massive enterprise and consumer applications. Now, right now, John, the stock trades on the Nasdaq at about the price of a cup of coffee. And by the way, John, our analysts indicate it could go a heck of a lot higher than that. And John- one more thing- they're up 160% just today

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La hora de dormir es el momento más infravalorado del día para conectar con tus hijos. Y es uno de los que yo más disfruto.
Ese momento de 10-15 minutos antes de apagar la luz es cuando los niños hablan de verdad. De lo que les preocupa, de lo que no entendieron y de cómo se sintieron.
Yo tengo siempre una pregunta para ese momento:
"¿Qué fue lo mejor de hoy?"
Los estudios son claros sobre esto. He leído varios y te cuento los 3 principales resultados:
- Dormirse con calma y gratitud influye directamente en cómo se despiertan emocionalmente los niños.
- Un recuerdo positivo vivido antes de dormir tiene más probabilidades de quedarse grabado que uno experimentado durante el día.
- Terminar el día con un recuerdo positivo da al cerebro mejor material con el que trabajar.
Acuérdate de esto esta noche. Me lo agradecerás en unos meses ;-)
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panti 🇪🇺 retweetledi

Ocho años seguidos reconocidos como Campeones de la Sustentabilidad por @worldsteel! Detrás hay inversiones, el trabajo diario de miles de personas que lo hacen posible y la convicción de que el acero es clave para la transición energética 🌎👏 ternium.com/es/novedades/n…
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¿Sobre qué macrotendencias tenéis bastante convicción a largo plazo?
Que dentro de 10 o 20 años tengan mucha más implantación que la actual, a mi se me ocurren a bote pronto estas:
. Inversión en índices y en capital riesgo.
. Inmunoterapia (vacunas para alergias).
. Fármacos para adelgazar.
. Chats de IA.
. Coche eléctrico.
. Coche autónomo (si la legislación lo permite).
. Audiolibros.
. Juegos de mesa (segmento adultos).
. Productos de nueva generación con nicotina (si la regulación no lo impide).
Con sus matices, pero al final implican riesgos y oportunidades a tener en cuenta.
¿Qué se os ocurre?
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panti 🇪🇺 retweetledi

Another week on the road meeting with a couple dozen IT and AI leaders from large enterprises across banking, media, retail, healthcare, consulting, tech, and sports, to discuss agents in the enterprise.
Some quick takeaways:
* Clear that we’re moving from chat era of AI to agents that use tools, process data, and start to execute real work in the enterprise. Complementing this, enterprises are often evolving from “let a thousand flowers bloom” approach to adoption to targeted automation efforts applied to specific areas of work and workflow.
* Change management still will remain one of the biggest topics for enterprises. Most workflows aren’t setup to just drop agents directly in, and enterprises will need a ton of help to drive these efforts (both internally and from partners). One company has a head of AI in every business unit that roles up to a central team, just to keep all the functions coordinated.
* Tokenmaxxing! Most companies operate with very strict OpEx budgets get locked in for the year ahead, so they’re going through very real trade-off discussions right now on how to budget for tokens. One company recently had an idea for a “shark tank” style way of pitching for compute budget. Others are trying to figure out how to ration compute to the best use-cases internally through some hierarchy of needs (my words not theirs).
* Fixing fragmented and legacy systems remain a huge priority right now. Most enterprises are dealing with decades of either on-prem systems or systems they moved to the cloud but that still haven’t been modernized in any meaningful way. This means agents can’t easily tap into these data sources in a unified way yet, so companies are focused on how they modernize these.
* Most companies are *not* talking about replacing jobs due to agents. The major use-cases for agents are things that the company wasn’t able to do before or couldn’t prioritize. Software upgrades, automating back office processes that were constraining other workflows, processing large amounts of documents to get new business or client insights, and so on. More emphasis on ways to make money vs. cut costs.
* Headless software dominated my conversations. Enterprises need to be able to ensure all of their software works across any set of agents they choose. They will kick out vendors that don’t make this technically or economically easy.
* Clear sense that it can be hard to standardize on anything right now given how fast things are moving. Blessing and a curse of the innovation curve right now - no one wants to get stuck in a paradigm that locks them into the wrong architecture. One other result of this is that companies realize they’re in a multi-agent world, which means that interoperability becomes paramount across systems.
* Unanimous sense that everyone is working more than ever before. AI is not causing anyone to do less work right now, and similar to Silicon Valley people feel their teams are the busiest they’ve ever been.
One final meta observation not called out explicitly. It seems that despite Silicon Valley’s sense that AI has made hard things easy, the most powerful ways to use agents is more “technical” than prior eras of software. Skills, MCP, CLIs, etc. may be simple concepts for tech, but in the real world these are all esoteric concepts that will require technical people to help bring to life in the enterprise.
This both means diffusion will take real work and time, but also everyone’s estimation of engineering jobs is totally off. Engineers may not be “writing” software, but they will certainly be the ones to setup and operate the systems that actually automate most work in the enterprise.
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@TMGUSA92 @blondesnmoney I was just thinking about this after negotiating with my 4 yo
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@blondesnmoney Trump effectively just negotiated the way a parent negotiates with a stubborn child.
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You better open the Strait
Absolutely not
I'm warning you, this is your last chance to open
No way
Ok, fine. Strait is closed. No one allowed in or out
Wait, what?
You heard me, no one is allowed in or out
Wait -- what about
There'll be no more discussion, it's closed to everyone
Wait a minute, actually, maybe we could open it a little bi--
No. It's closed
Actually, I want it opened. I've always wanted it open. Why don't we just--
You might have to pay a toll
WHAT
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@Codie_Sanchez Yea, I’m planning on buying a Rolex once I reach 10k
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