Mario Alberto

Transformation Management at @bbva Corporate & Investment Banking. rt ≠ endorsement

Personal Website:

[Crémieux @cremieuxrecueil]

Practically, the only rigorously proven things you can do for life extension right now are:

- Don't be fat
- Be fit
- Control your blood sugar
- Control your blood pressure
- Have low cholesterol
- Don't poison yourself

Almost everything else is speculative and dubious.

[Garry Tan @garrytan]

Some people think "leadership" is meetings, graduating from building.

True leadership in every organization from 2026 on out *is* building, and it won't be anything other than that into the future.

Either you're building or you're leting your org die slowly. Your choice

[Frank Yan @FrankYan2]

As promised, here's the short film Jia Zhangke produced using Seedance 2.0 for Chinese New Year and his take on AI filmmaking

[Elon Musk @elonmusk]

Starship launch attempt in ~10 minutes
https://t.co/o3a8uTBLRL

[Mario Alberto @marioalberto]

@karpathy Super Useful, tried diferent methods over time but the one that I still use the most for the last 10years is my old big text file....

[Andrew Ng @AndrewYNg]

Writing software, especially prototypes, is becoming cheaper. This will lead to increased demand for people who can decide what to build. AI Product Management has a bright future!

Software is often written by teams that comprise Product Managers (PMs), who decide what to build (such as what features to implement for what users) and Software Developers, who write the code to build the product. Economics shows that when two goods are complements — such as cars (with internal-combustion engines) and gasoline — falling prices in one leads to higher demand for the other. For example, as cars became cheaper, more people bought them, which led to increased demand for gas. Something similar will happen in software. Given a clear specification for what to build, AI is making the building itself much faster and cheaper. This will significantly increase demand for people who can come up with clear specs for valuable things to build.

This is why I’m excited about the future of Product Management, the discipline of developing and managing software products. I’m especially excited about the future of AI Product Management, the discipline of developing and managing AI software products.

Many companies have an Engineer:PM ratio of, say, 6:1. (The ratio varies widely by company and industry, and anywhere from 4:1 to 10:1 is typical.) As coding becomes more efficient, teams will need more product management work (as well as design work) as a fraction of the total workforce. Perhaps engineers will step in to do some of this work, but if it remains the purview of specialized Product Managers, then the demand for these roles will grow.

This change in the composition of software development teams is not yet moving forward at full speed. One major force slowing this shift, particularly in AI Product Management, is that Software Engineers, being technical, are understanding and embracing AI much faster than Product Managers. Even today, most companies have difficulty finding people who know how to develop products and also understand AI, and I expect this shortage to grow.

Further, AI Product Management requires a different set of skills than traditional software Product Management. It requires:
- Technical proficiency in AI. PMs need to understand what products might be technically feasible to build. They also need to understand the lifecycle of AI projects, such as data collection, building, then monitoring, and maintenance of AI models.
- Iterative development. Because AI development is much more iterative than traditional software and requires more course corrections along the way, PMs need be able to manage such a process.
- Data proficiency. AI products often learn from data, and they can be designed to generate richer forms of data than traditional software.
- Skill in managing ambiguity. Because AI’s performance is hard to predict in advance, PMs need to be comfortable with this and have tactics to manage it.
- Ongoing learning. AI technology is advancing rapidly. PMs, like everyone else who aims to make best use of the technology, need to keep up with the latest technology advances, product ideas, and how they fit into users’ lives.

Finally, AI Product Managers will need to know how to ensure that AI is implemented responsibly (for example, when we need to implement guardrails to prevent bad outcomes), and also be skilled at gathering feedback fast to keep projects moving. Increasingly, I also expect strong product managers to be able to build prototypes for themselves.

The demand for good AI Product Managers will be huge. In addition to growing AI Product Management as a discipline, perhaps some engineers will also end up doing more product management work.

The variety of valuable things we can build is nearly unlimited. What a great time to build!

[Original text: https://t.co/OIeAQXpriK ]

[Marc Benioff @Benioff]

Rarely am I so captivated and inspired by a CEO’s keynote that it holds my attention for two hours, but Jensen Huang’s indefatigable energy (at 61 years old!) makes him one of the most inspiring and visionary leaders among tenured and authentic CEOs. His ability to innovate while delivering amazing products I genuinely want to buy is remarkable—a true masterclass in running a great tech company. I was particularly struck by his framing of AI’s evolution: from perception to generative, to agentic, and ultimately to physical. Truly inspiring! I highly recommend watching this to understand our immediate future: https://t.co/AUdeWFfoVR

[Steven Pinker @sapinker]

The Seven Laws of Pessimism https://t.co/2wQLOIXX02

[Adam Grant @AdamMGrant]

Novices seek praise. Recognizing strengths builds confidence to keep going.

Experts crave criticism. Seeing shortcomings reveals avenues to keep growing.

Preferring corrections to compliments is a sign of skill. The better you get, the more determined you become to get better.

[Mario Alberto @marioalberto]

@fcomtzhdz @Alf_ArGzz D=(AxB)/2

[Mario Alberto @marioalberto]

@Alf_ArGzz 2/3 ?

[Sara H. Van Velkinburgh @svanvelk]

On September 30th, Mexico's QR code-based real-time payment rail turned 4. This is how much impact it has had.

[Mario Alberto @marioalberto]

@NinoHorrendo Hola, todavía los tienes?

[DealBook @dealbook]

Euphemisms for recession have a long history in Washington. Whatever the Federal Reserve is stating, it seems to be expecting something ugly soon, our @jeffsommer says. https://t.co/IBvVIbTXNW

[Simon Rodrigues @_simonrodrigues]

‘Growth at all costs’ has been replaced by 'unit economics' as a startup mantra this year.

But has this re-focusing on profit played out in LatAm?

% of businesses prioritising growth over cost:

🇧🇷 Brazil: 67%
🇲🇽 Mexico: 58%
🌎 Global: 51%

Why LatAm prioritises growth 🧵

[Mario Alberto @marioalberto]

Do you remember when you joined Twitter? I do! #MyTwitterAnniversary

[Amjad Masad @amasad]

I don't think people understand the monumental changes coming to software this decade. Quick thread:

[Mario Alberto @marioalberto]

Running and the Science of Mental Toughness

https://t.co/bmWdXrnMVh

[Noah Smith 🐇🇺🇸🇺🇦🇹🇼 @Noahpinion]

I kind of worry that Xi will look at Russia's poor war performance, think about the fact that the Chinese military doesn't have much recent experience, and conclude that his military needs a "practice war".