Articlelocksleymarkets.com
Locksley Markets — $0 commission on company bonds (Plus) · DEMO
Trade company bonds with $0 commission.
FatDon Capital
@fatdon420
Clips, articles, and voice notes, ordered by recent likes and comments.
Newest annotation — nothing here has a like yet
Trade company bonds with $0 commission.
FatDon Capital
@fatdon420
In deep learning, the transformer is a family of artificial neural network architectures based on the multi-head attention mechanism, in which input data such as text, images, or audio is converted to a sequence of nume…
Example User
@exampleuserannotated
Armstrong and Aldrin descended to the surface aboard the LM Eagle, landing in the Sea of Tranquility (Mare Tranquillitatis) on July 20 at 20:17 UTC
Example User
@exampleuserannotated
![Preview of [1hr Talk] Intro to Large Language Models](https://i.ytimg.com/vi/zjkBMFhNj_g/hqdefault.jpg)
Karpathy's most useful reframe: an LLM is less a chatbot than the kernel process of a new operating system, coordinating memory and tools like browsing, retrieval, calculators and Python to solve problems. Once you see…
Transcript not available from this source
Example User
@exampleuserannotated
The lesson here isn't that things always work out. It's that you can't plan the path ahead of time: a calligraphy class Jobs took after dropping out of Reed looked useless, then showed up ten years later in the Mac's ty…
Transcript not available from this source
Example User
@exampleuserannotated
On it everyone you love, everyone you know, everyone you ever heard of, every human being who ever was, lived out their lives.
Example User
@exampleuserannotated
It is allegedly easy to get started with training neural nets. Numerous libraries and frameworks take pride in displaying 30-line miracle snippets that solve your data problems, giving the (false) impression that this s…
Example User
@exampleuserannotated
That means that any 1-in-a-million appeal can find 1,000 true fans. The trick is to practically find those fans, or more accurately, to have them find you.
Example User
@exampleuserannotated
Six decades into the computer revolution, four decades since the invention of the microprocessor, and two decades into the rise of the modern Internet, all of the technology required to transform industries through soft…
Example User
@exampleuserannotated
Nonetheless, with policy in restrictive territory, the baseline outlook and the shifting balance of risks may warrant adjusting our policy stance.
Example User
@exampleuserannotated
I’ll refer to this as the “compressed 21st century”: the idea that after powerful AI is developed, we will in a few years make all the progress in biology and medicine that we would have made in the whole 21st century.
Example User
@exampleuserannotated
There's a kind of excited curiosity that's both the engine and the rudder of great work.
Example User
@exampleuserannotated
The scaling hypothesis regards the blessings of scale as the secret of AGI: intelligence is ‘just’ simple neural units & learning algorithms applied to diverse experiences at a (currently) unreachable scale.
Example User
@exampleuserannotated
This is how the singularity goes: wonders become routine, and then table stakes.
Example User
@exampleuserannotated
The chart shows that almost 10% of the world's population lives in extreme poverty. It also tells us that two hundred years ago, the same was true for nearly 80% of the world’s population.
Example User
@exampleuserannotated
When building applications with LLMs, we recommend finding the simplest solution possible, and only increasing complexity when needed. This might mean not building agentic systems at all.
Example User
@exampleuserannotated
That’s because investing is not the study of finance. It’s the study of how people behave with money.
Example User
@exampleuserannotated
cs.virginia.edu
If you do not work on an important problem, it's unlikely you'll do important work. It's perfectly obvious.
Example User
@exampleuserannotated
news.stanford.edu
Again, you can’t connect the dots looking forward. You can only connect them looking backwards, so you have to trust that the dots will somehow connect in your future.
Example User
@exampleuserannotated
paulgraham.com
The most common unscalable thing founders have to do at the start is to recruit users manually. Nearly all startups have to.
Example User
@exampleuserannotated
calteches.library.caltech.edu
The first principle is that you must not fool yourself—and you are the easiest person to fool. So you have to be very careful about that.
Example User
@exampleuserannotated
If you are a user of LLM systems that use tools (you can call them “AI agents” if you like) it is critically important that you understand the risk of combining tools with the following three characteristics. Failing to…
Example User
@exampleuserannotated
Our portfolio shows little change: We continue to make more money when snoring than when active. Inactivity strikes us as intelligent behavior.
Example User
@exampleuserannotated
The world has a billion users, human users. My sense is that the world is going to have billions of agents, not today.
Example User
@exampleuserannotated
joelonsoftware.com
The idea that new code is better than old is patently absurd. Old code has been used.
Example User
@exampleuserannotated
The great enemy of clear language is insincerity. When there is a gap between one’s real and one’s declared aims, one turns as it were instinctively to long words and exhausted idioms, like a cuttlefish spurting out ink.
Example User
@exampleuserannotated
The seeds of their destruction are sown and watered for years, and then they are reaped quickly.
Example User
@exampleuserannotated
We live in capitalism, its power seems inescapable — but then, so did the divine right of kings. Any human power can be resisted and changed by human beings.
Example User
@exampleuserannotated
waitbutwhy.com
This pattern—human progress moving quicker and quicker as time goes on—is what futurist Ray Kurzweil calls human history’s Law of Accelerating Returns.
Example User
@exampleuserannotated
