
First-principles maximalist. Meat proxy @megacode_ai
Joined January 2009
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dsaccon retweeted
“Never, ever, tell anyone about your problems. 90% of the people really don't care. The other 10% are glad you have them.”
—Charlie Munger
dsaccon retweeted
AI and robotics can make cheap widgets even cheaper. That will not make society wealthy.
In the developed world our biggest and most important expenses do not primarily involve widgets; they primarily involve law (often indirectly), real estate, health care, and education.
It is only if AI can, and is allowed to, "practice" law, health care, and education that we will reap anything like the promised benefits of AI making society "wealthy."
Replying to @Breaking911
MUSK: "AI & humanoid robots will actually eliminate poverty...and make everyone wealthy."
dsaccon retweeted
More languages, more insights!
A few interesting takeaways:
* Java and Kotlin are quick! Possible explanation: Google is heavily invested in performance here.
* Js is really fast as far as interpreted / jit languages go.
* Python is quite slow without things like PyPy.
dsaccon retweeted
Computer scientist Edsger Dijkstra on the frustration of debugging a program you wrote yourself
dsaccon retweeted
The Elon vs OpenAI is an interesting read. Here is the full thing.
Fun trivia: Elon typically replies with one word-sentence within minutes. Even to long emails such as reviewing the Microsoft deal where he caught a bad clause that they fixed.
lesswrong.com/posts/5jjk4CDn…
dsaccon retweeted
Startups using AI with human-in-the-loop is probably going to roll up a lot of markets in the next two years
YC F24's @luthorAI helps startups and SMBs grow revenue-generating traffic with AI-powered blogs, expertly refined by humans using their brand's authentic voice.
ycombinator.com/launches/MAK…
Congrats on the launch, @gxespino and @JEspn88!
dsaccon retweeted
“Disagree and commit is a really important principle that saves a lot of arguing.”
— Jeff Bezos
dsaccon retweeted
If you want to automatically scrape a website with Python, use `autoscraper` 💡
Its almost magical 🪄 - Instead of writing the scraping logic manually, you provide a few sample values you'd like to scrape, and `autoscraper` will deduce the scraping rules for you.
It learns the scraping rules and returns the similar elements. Then you can use this learned object with new urls to get similar content or the exact same element of those new pages.
`autoscraper` doesn't require detailed XPath or CSS selectors like traditional scraping libraries. Instead, it automates the pattern recognition process by learning from the example you provide.
Let's design an example where we'll scrape the latest headlines from a popular news website. (Disclaimer: Make sure you have the legal right to scrape the desired website; scraping some sites might be against their terms of service).
Suppose we want to scrape the latest headlines from "BBC News" (for demonstration purposes only).
Remember to replace the "BBC News headline example" with an actual headline from the BBC News page so that the model can learn from it. After running the script, you should see a list of scraped headlines.
dsaccon retweeted
LLMs are trained on much more than the whole Internet -- they also consume handcrafted answers produced by armies of highly qualified data annotators (often domain experts). Today approximately 20,000 people are employed full-time to produce training data for LLMs.
Replying to @VictorTaelin
mini rant:
the illusion LLMs are intelligent comes from their massive scale. it is hard to visualize, but these things memorized the WHOLE internet. everything you've ever asked it, either has been solved before, or is a simple combination of existing solutions. but that's still an illusion.
when LLMs face a problem that require a NEW solution - one of original shape, one it has never seen before - they fail. it is that simple. that's what my example shows. i took as simple problem - inverting a binary tree - and added a few constraints to make sure the solution is unique and not in the dataset, forcing it to actually SOLVE it itself. and, surprise - it can't!
and I must stress this isn't about THIS problem. but about all. LLMs can't solve ANY problem, at all. it can only spit a memorized solution. if nobody posts this solution online, not even GPT-6, opus-5, or o3, will be able to solve *this very prompt*. I'm betting on that.
the inability to create new solutions imply LLMs won't invent new science. yes, they will completely change the world as we know it. they'll have a higher impact than computers and the internet. but, unless a new kind AI emerges, we're still on our own when it comes to curing cancer or making superconductors.
dsaccon retweeted
A democracy can only last 200 years.
At least, that’s according to 18th-century historian Alexander Tytler.
He claimed democracies always follow a predictable pattern which ends in servitude…🧵
dsaccon retweeted
I’m getting hooked (and really fast) on vim mode. For a bystander looking at how quickly you can move around and make code changes, it looks like wizardry.
dsaccon retweeted
“1) Lie to people who want to be lied to, and you’ll get rich.
2) Tell the truth to those who want the truth, and you’ll make a living.
3) Tell the truth to those who want to be lied to, and you’ll go broke.” - Jason Zweig
h/t @vaneckpk
dsaccon retweeted
The whole Reflection-70B debacle points the the desperate need for a better AI evaluation ecosystem.
It needs to be extremely easy to adjudicate:
(1) is the model overfit to benchmarks
(2) is the model truly unique (i.e. not a wrapper or thin fine-tune)
dsaccon retweeted
Everything wrong about our perception of machine learning and AI is due to excessive anthropomorphism -- which the field actively promotes.
dsaccon retweeted
I'm excited to announce Deception 70B, the world’s top open-source model.
Trained using Deception-Tuning, a technique developed to enable LLMs to deceive themselves of their own mistakes.
Try it out now: bit.ly/Deception-70B






























