Tulla Media

16/04/2025

15/07/2024

Our sports champions are our modern-day warriors. Although it's been said before, it is especially crucial now to have more individuals who exemplify discipline, sportsmanship, and the pursuit of excellence as our top priorities.

Figures like Alcaraz 🇪🇸, Messi 🇦🇷, and many other champions ("modern-day warriors") should serve as role models for our global leaders—presidents, dictators, and others—who often act against the interests of us all, the citizens of Earth 🌏.

We must embrace the mindset of 'Why can't we all just get along?'

One Love ❤️!

- José Antonio Tulla*

18/08/2023

Why is everyone so afraid of AI? (by: Adam Fayed)

Firstly, anybody who is reading this who is middle-aged or older would have heard these stories again and again.
Larry Summers mentioned that as far back as the 1970s, when he was a student, some professors were fear-mongering about automation.

Over a hundred years ago, Henry Ford “threatened” to replace workers with technology and robots.
Technology has always destroyed jobs but created more than it has destroyed.
So, unemployment in the US, UK and many other advanced countries is close to record lows.

But millions of jobs have been lost to automation. Look at manufacturing.
There are fewer jobs in manufacturing than before, but millions of jobs have been created in finance, sports and entertainment, legal and other service jobs.
This brings me to AI. Many people believe that “this time is different”.
In investing, this is very dangerous, as per this quote from Pinterest.

Just as every time there is a market crash, there are people who say, “this time is different”, the markets won’t recover this time; the same thing happens when technology gets better.

So, the first reason people fear AI is that they always fear technological change.
There is a second reason people are afraid.

Who writes articles? Journalists. Who could get replaced by AI? Jobs like journalism are more at risk than, say, plumbers.

So, whilst the most recent technological changes in the 1980s and 1990s have affected the working class jobs the most, this time could indeed be different, in that some middle-class jobs could be affected.

That doesn’t mean this time will automatically be different, and we will see 30% unemployment.

It is merely the cases that the educated classes might suffer a bit.
EQ could also become much more important than IQ.

Studying maths, in future, might be less critical than studying human behaviour and other soft skills.

Machines might know more than us, but they don’t have wisdom or soft skills, and won’t anytime soon.

These kinds of trends make people afraid.

As a final comment, it has to be remembered that not everybody is afraid.
Many people are excited about the potential of investing in AI and realize that new efficiencies could push up stock markets.

05/06/2023

Baseball, Theory, Hiring a Person for the Wrong Reasons, and avoiding false proxies.

Hello Everybody! Today I'm quoting (again) Seth Godin on avoiding false proxies. I especially enjoyed reading this brief article/commentary because it includes Billy Beane of the Oakland A's back when he implemented the "Moneyball" theory (The idea behind Moneyball was that Paul DePodesta devised a method to find and make use of undervalued players, based on statistical variables that had largely been ignored earlier. His goal was to create a framework that would increase the likelihood of the Oakland A's making it to the playoffs).

-Avoid false proxies-by, Seth Godin-

They’re toxic, wasteful and a tempting trap.

It’s one of the most important topics in my new book.

We need proxies. You’re not allowed to read the book before you buy it or taste the ketchup before you leave the store. We rely on labels and cultural cues to give us a hint about what to expect. We do judge a book (and a condiment) by its cover, all the time.

And hiring and managing people is far more important and risky than buying ketchup. So we look for proxies that may give us a clue as to how someone will ultimately contribute to our project.

False proxies include: Height, race, gender, attractiveness, charisma in meetings, famous college, etc.

It’s easy to imagine that we don’t fall to prey to these irrelevant signals, but a quick look at the height of elected officials makes it clear that we do–we keep picking the tall ones.

When building the Oakland A’s into a championship contender, Billy Beane discovered that every other team was using these sorts of proxies to scout who would be worth drafting. By finding an actual proxy, a useful one, he was able to assemble a skilled team on a budget.

Just because someone interviews well, is friendly, or looks like you doesn’t mean that they can do the work that needs to be done.

Now that we can measure so many things, we might as well put that to use. Attitude and skill are useful proxies, while the easy-to-measure stuff is simply an expensive and hurtful distraction.

03/05/2023

Always learning!