santiagobasulto

Joined 14 years ago

Karma
1,936
Submissions
611
Member since
May 4
Founder of DataWars: datawars.io. Prev, co-founder @ rmotr.com (Acquired by INE, inc 2019).

@santiagobasulto on Twitter.

Want to try DataWars? app.datawars.io/register

Want to reach out? santiago [dot] basulto [at] gmail

meet.hn/city/45.0677551,7.6824892/Turin

Socials: - github.com/santiagobasulto - x.com/santiagobasulto

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Recent submissions

Comment · 7 days ago
They are not yet. They're TALKING about replacing it. Far from doing anything.
Comment · 22 days ago
Comparing it with Anthropic, ANY model is cheaper and more effective. Don't get me wrong, Anthropic models are good, but they're always more expensive for the same task, even compared to other closed source models. At this point, I honestly think Anthropic has played the nasty trick to fine tune the models to be too verbose and charge us for more tokens.
Comment · 1 month ago
PISA exam scores are a lagging indicator with many years of lag. I doubt the reason of that is AI. Mobile phones? Social media? Any other multi causal reason (poor eating, anxiety, low testosterone, whatever), most likely, but not AI.
Comment · 1 month ago
I'm on the same boat, negatively affected by AI. I'm the CEO and founder of an EdTech company and our B2C revenue has greatly decreased as a result of Gen AI.

But unlike the author of this post (or cited authors) I'm not sore. AI is providing a much better education model for students. So it's us that we have to adapt, not complain that the world is changing.

For example, in Machine Learning our projects are sometimes extremely long and repetitive. Because before AI, it was a valuable skill to be able to recall APIs quickly (what is the method to drop duplicates in a dataframe again?).

But today that's no longer the truth, and for the better. I am happy students don't have to go over the same repetitive low-value processes that I had to go to. Students can now focus on more high level valuable tasks: understand the domain, compare evaluation methods, compare models, balance tradeoffs, present solutions/reports, etc.

It's like in the 50s when students had to memorize tables of logarithms. Nobody misses that.

We are in the process of recreating all our projects to adapt to the new world. We'll see how it goes.

Comment · 1 month ago
Do we really need a whole book for this?
Comment · 1 month ago
I think this is just a tongue in cheek description, implying that "nobody needs this page and the `other one` makes everybody happy".
Comment · 1 month ago
Cool project, I had to implement the same for my experimental AI Agent: https://github.com/quantized-ai/luca-py

LiteLLM and LangChain are AWFUL pieces of software and should be avoided at ALL costs.

Btw, you should update httpx to httpx2, and I think it's not much effort to remove openai's SDK compatibility.

I'd love to have a provider-agnostic LLM router (almost) dependency free (aside from httpx2).

Comment · 1 month ago
of course I meant that a human made object traveling at those speeds was theoretical, not time dilation itself. Never thought I'd have to clarify that :)
Comment · 1 month ago
Comment · 1 month ago
A lot of hate for Apple as usual. I love my AirPods. They just works, that's what I need.
Comment · 1 month ago
Some time ago I had the following shower thought: "the Speed of Light is pretty slow"

How i got there:

The closest major galaxy to the Milky Way is Andromeda, and is 2.5 million! light-years away. And this is the CLOSEST galaxy, the universe is extremely big.

Of course that as you get closer to C, the traveling object will experience time dilation (relative to observer), so the time passed will be less. At 99.999% C, the traveler would take ~11,000 years to arrive to Andromeda.

So again, even at 99.999% C, 11K years seems like a LONG time to reach even the closest galaxy.

My reasoning was: the speed of light is pretty damn slow.

But then I realized: no, it's not the speed of light that is slow, is my frame of reference.

For us humans, 11,000 years seems like A LONG time, but for the universe is not that long.

The universe's age is estimated to be 13.8 billion years. 11,000 years is 0.0000007971 of the age of the universe.

An average human lives 70 years, 0.0000007971 of that lifespan is approximately ~0.4 hours, or 29 minutes, so it's not that bad.

So yeah, frame of reference matters.

Comment · 1 month ago
I was going to reply with "shit americans say" until I realize you're based in Paris. Isn't 90k a very good salary even for an expensive city like Paris? If it's not, MAN i'm out of touch with reality. In Italy 90K is great even in Milan.
Comment · 2 months ago
Can you elaborate? Why is Python asyncio bad?
Comment · 2 months ago
When python started incorporating asyncio my initial reaction was fairly negative. I was behaving like a grumpy graybeard programmer ("kids these days should learn how to use concurrency instead of working on a new runtime altogether!" [0]).

But after using it for a production project I have to say I'm deeply satisfied and surprised by the maturity, quality of APIs and performance in general.

I was proven wrong and I'm happy about that :)

[0] Old man yell at clouds type of meme

Comment · 2 months ago
563 upvotes for a 2 paragraph post of someone complaining about AI images in someone else's blogs?

This is "Bicycle face" level of hatred (or fear) against new technology.

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