Karpathy just said the people who don't use LLMs are already losing.
He spent 4 minutes explaining why smart people are still going to fall behind.
Not only the people who refuse AI, but also those who think signing up for Claude counts as using it.
Typing a prompt isn't the skill, the real shift is going from asking AI things to building something that runs without you.
That's exactly why i wrote an article on Claude features most people don't even know exist.
Read it below and you'll already be ahead of 99% of people.
The great lie is that society is divided between rich and poor.
The great truth, as David Friedberg puts it, is makers vs takers.
Makers build, create, and deliver real value: houses, software, art, businesses, and everything that moves civilization forward.
Takers watch, criticize, analyze, and politic. They push the lie that the rich hoard unfairly so the poor must seize it… all while positioning themselves to rule the chaos.
As @friedberg tells his kids: “At the end of the day, if you made something and someone else valued it, you were a maker. That was an amazing achievement. That is a great day.”
Takers thrive on division. Makers drive progress.
Time to choose your side.
BREAKING; Indonesia’s Attorney General has charged Ibam with 15 years in prison and IDR16.5b in fines.
Let’s be clear, there is no crime. This is a political witch-hunt by dark forces who didn’t like changes in the education ministry.
Indonesia’s legal system is broken.
Verdict in two weeks.
Sebagai engineer Indo yang belajar banyak dari Ibam, baca ini sakit hati rasanya.
Satu-satunya saran buat teman-teman tech di titik ini: usahakan cari jalan untuk berkarier di luar negeri. Kalaupun stay, jauh-jauh dari public sector atau pemerintahan, tetap di private sector.
Teknologi di Indonesia sudah selesai. Investasi terbaik saat ini yang bisa kita berikan buat generasi berikutnya: berkarya sebaik-baiknya di luar negeri dan membangun network seluas-luasnya.
Selamat tinggal keadilan, selamat jalan teknologi Indonesia. Unicorn era was a nice ride.
1. Israel has expanded control over Palestinian land through settlements, deemed illegal by many internationally, though Israel disputes this.
2. Israel builds settlements and demolishes Palestinian homes, often citing permit issues, criticized as collective punishment.
3. Accusations of systemic discrimination against Palestinians exist, with some labeling it apartheid; Israel denies this.
4. High civilian casualties in Gaza, including many children, are reported, but exact figures are debated.
5. Israel has conducted preemptive strikes in Lebanon against Hezbollah, causing civilian casualties.
6. Israel's 1981 Golan Heights annexation is widely seen as illegal, despite US recognition in 2019.
7. Israel bombed Iranian nuclear sites, killing civilians, escalating tensions.
8. Palestinian resistance is often labeled terrorism; Israel claims self-defense, a contentious issue1. Israel has expanded control over Palestinian land through settlements, deemed illegal by many internationally, though Israel disputes this.
2. Israel builds settlements and demolishes Palestinian homes, often citing permit issues, criticized as collective punishment.
3. Accusations of systemic discrimination against Palestinians exist, with some labeling it apartheid; Israel denies this.
4. High civilian casualties in Gaza, including many children, are reported, but exact figures are debated.
5. Israel has conducted preemptive strikes in Lebanon against Hezbollah, causing civilian casualties.
6. Israel's 1981 Golan Heights annexation is widely seen as illegal, despite US recognition in 2019.
7. Israel bombed Iranian nuclear sites, killing civilians, escalating tensions.
8. Palestinian resistance is often labeled terrorism; Israel claims self-defense, a contentious issue1. Israel has expanded control over Palestinian land through settlements, deemed illegal by many internationally, though Israel disputes this.
2. Israel builds settlements and demolishes Palestinian homes, often citing permit issues, criticized as collective punishment.
3. Accusations of systemic discrimination against Palestinians exist, with some labeling it apartheid; Israel denies this.
4. High civilian casualties in Gaza, including many children, are reported, but exact figures are debated.
5. Israel has conducted preemptive strikes in Lebanon against Hezbollah, causing civilian casualties.
6. Israel's 1981 Golan Heights annexation is widely seen as illegal, despite US recognition in 2019.
7. Israel bombed Iranian nuclear sites, killing civilians, escalating tensions.
8. Palestinian resistance is often labeled terrorism; Israel claims self-defense, a contentious issue.
This was not an “Iranian attack,” this was an Iranian RESPONSE to Israel’s cyberattacks and assassination of political leaders in Lebanon, Syria, and Iran which has gone unanswered for months.
Israel is clearly the aggressor. Does Iran have a right to defend itself?
Iran is attacking Tel Aviv, after Israel attacked Lebanon, Syria, Yemen and Iran to expand its genocidal war on Gaza.
Biden can stop this war with one call to Israel demanding an immediate ceasefire and negotiations.
@netanyahu is dragging us into WWIII but WE DO NOT CONSENT.
It's a bit sad and confusing that LLMs ("Large Language Models") have little to do with language; It's just historical. They are highly general purpose technology for statistical modeling of token streams. A better name would be Autoregressive Transformers or something.
They don't care if the tokens happen to represent little text chunks. It could just as well be little image patches, audio chunks, action choices, molecules, or whatever. If you can reduce your problem to that of modeling token streams (for any arbitrary vocabulary of some set of discrete tokens), you can "throw an LLM at it".
Actually, as the LLM stack becomes more and more mature, we may see a convergence of a large number of problems into this modeling paradigm. That is, the problem is fixed at that of "next token prediction" with an LLM, it's just the usage/meaning of the tokens that changes per domain.
If that is the case, it's also possible that deep learning frameworks (e.g. PyTorch and friends) are way too general for what most problems want to look like over time. What's up with thousands of ops and layers that you can reconfigure arbitrarily if 80% of problems just want to use an LLM?
I don't think this is true but I think it's half true.
Elon Musk is a big believer in Mental Models.
Not only Musk— Charlie Munger, Jeff Bezos, and Steve Jobs too.
10 most powerful mental models I've found from genius thinkers: 🧵
I'm 19.
I’m obsessed with learning how to learn.
So, I spent 300+ hours studying how geniuses, prodigies, and high performers master their disciplines.
Here's what I found on how to master anything faster... 🧵(thread)
FB/Meta senior mgt has cared a lot about AI for many years. By way of example, here's a true story I haven't told before...
Do you remember when Zuck was giving testimony to congress in April 2018? I was watching it live, when the phone rang. It was the CTO of Facebook.
We’re thrilled to be announcing details of the first volume in the three-part anthology from the SFT Studios manga portfolio.
This installment will dive into the backstory of @ShopkeeperChiyo, unveiling key elements of the city, the corporate giant "パワ一TECH”, “The Tower”, and her father’s mysterious disappearance.
Featuring art and design by Kouta Matsuda, known for their official work on the Made in Abyss Anthology, as well as story writing by Kazushi Suzuki, the Editor-In-Chief at Young Magazine.