OpenAI and Anthropic have entered the RSI era. OpenAI Research Progress Is Accelerating Due To OpenAI Research Progress OpenAI has been opening up lately about many things. The most important issue of all is that of the acceleration and automation of AI R&D.
Artificial intelligence has unleashed a torrent of cheating on campus and created chaos in the job application process, as both students and employers use large language models: the former, to write hundreds of AI-assisted applications; the latter, to screen those AI-written applications with AI-written filters, thus removing from the process of finding a first job those procedural frictions sometimes known as "people."
It looks to me like OpenAI’s sandbox for this agent suffered from the (quite naïve) assumption that GET requests cannot be used to update data. That’s certainly how the web is supposed to work, but clearly there are applications that don’t hold to that contract.
open models are still incredibly useful, but fill a long-tail ecosystem relative to the closed counterparts that have monopoly ownership stakes in the most valuable areas like knowledge work collaboration, drug discovery, SWE, etc.
And in all of these applications, the customer is making a decision based off of the recommendation of the AI model more or less. Uh, and this means that if the customer is ultimately like kind of making the decision, this means that if the system makes a mistake, um, that's okay because usually the person can kind of recognize that or or decide what to do even despite that mistake.
one of the most important things we discovered along the way is it's extremely difficult to iterate with outside suppliers, particularly outside suppliers in aerospace, which are let's just say I have no kind words for them. So we chose to build our own machine shop. And now we can go from a digitally designed engine part to a prototype part in about 24 hours.
Rule number five, a rule that Britain broke at great cost in World War I. Do not take on the enemy main force directly. You certainly do not do that as an opening move.
It's pretty decently adequate, as mind candy. There are places where Abnett shows flashes of real talent. (To avoid spoilers, I'll just say: The first alien planet; the opening scenes with the cranky biologist.) There are other aspects of the novels which are pretty unsatisfying.
local-first software, which is this idea that we want to take away a bit of the power from cloud operators and give it back to end users. So, end users should be more in control of their own data and less dependent on cloud services for providing the applications and the data that that the users need.
Our market reach is far greater than any any TPU can any ASA can possibly have. And so if you look at our position, uh we're the only company that that accelerates applications of all kinds.
But if you know anything about my obsession with selection bias, you can predict the outcome: when you expand access from a population that excludes more students to one that excludes fewer, you’re very likely to see declining performance.
Sixteen is also roughly the age by which a majority of adolescents have completed puberty: a sensitive period of neural reorganization during which it is extremely important to protect the brain.
Furthermore, I believe it’s very unlikely that space-based manufacturing or mining could be lucrative enough to fund the venture.
Their words now
Today, exploding demand for power-intensive AI applications provides enough of an upside to justify producing components in space, providing the economic engine necessary to justify and fund the trillions of dollars necessary to build and sustain space factories.
When applications can generate capabilities on demand, the definition of "what this product does" becomes more fluid. Features aren't just what shipped in the last release, they're also what users will ask for in the next session.
That's the opening of "The Green Fields of the Mind," collected in this slim, wonderful volume. Recommended if you like thinking about America, baseball, and The Odyssey.
As with self driving cars, most of the early players in humanoid robots, will quietly shut up shop and disappear. Those that remain will pivot and redefine what they are doing, without renaming it, to something more achievable and with, finally, plausible business cases.
It had the best opening sentence of any nonfiction book I read this year: "In 2012, 146 million children were born. That was more than in any prior year. It was also more than in any year since. Millions fewer will be born this year. The year 2012 may well turn out to be the year in which the most humans were ever born—ever as in ever for as long as humanity exists." Such a simple and obvious fact but I had not known it before. I had to keep reading.
we will build our own applications scaffolding which will be model forward right it won't be a wrapper on a model but the model will be wrapped into uh the application
So, I think it'll be the same thing that that we'll see an increase in the scope that we're giving that we're willing to give to the robots as they get better and better where initially the scope might be like there is a particular thing you do like you're making the coffee or something. Uh whereas as they get more capable, as their ability to have common sense and a broader repertoire of tasks increases, then we'll give them greater scope. Now you're running the whole coffee shop.
It's also worth noting that chat isn't the only way to integrate AI in software products and increasingly agent-based applications outperform chat-only solutions. So expect things to keep changing.
I’ve rarely seen a more capitalist society than China, from the pure economic side. I’ve rarely seen companies that are as competitive as Chinese companies. People as ambitious and obsessed with making money as Chinese people. Kind of ruthless actually. And look, consumers shop, firms invest. If you invest well financially, you’ll get great returns. What is not capitalistic about the Chinese economy? At the same time, the social fabric is highly socialist.
Yet the production methods still can’t make them below $10 per gram, so they’re still not cheap enough for some “obvious” applications like preventing kids getting malaria in a rainy season.
we can cut billions of dollars of marketing out tomorrow. We can stop opening branches and save a billion dollars next year. We could do a lot of things. Your margins will go up. Your growth will go down. Your long-term margins will probably get worse.
I moved from Alacritty to Ghostty, which has been absolutely excellent. It’s wicked fast, it has my favourite colour scheme built in, and I just love the way @mitchellh has set the project up for success in the long term. It also fits in nicely with my minimally configured applications, with excellent defaults out of the box.
For most of my investing life, Vanguard was THE one-stop shop for index funds of all types. They have the lowest expense ratio and the utmost respect for their customers.
An eye-opening view on considerations going into building a widely used public API or reusable library. While the book focuses on the .NET framework, many of the conventions apply to maintainable and reusable components, in general. This book had an outsized impact on me as I read it when I was a mid-level .NET developer.
The Social Network is substantially made up, more a source for vibes rather than a source for facts. Even the vibes fail to cohere with reality. And yet it convinced many proto-founders to put in YC applications.
In my practice, I have seen that opening neural pathways can lead to profound change, to brand-new traits and behavior, sometimes in a matter of minutes.
Neurobiologists tell us that it takes two things to unlock and open up a neural pathway. The first is that the implicit must be made explicit. Sometimes you need help seeing what you don't see. But you must be open to the feedback. Second, there must be some sort of recoil, a sense of discrepancy, of "Oh no, I'm not sure I really want to keep doing that."
If we collectively devoted the same levels of investment and inventive power and entrepreneurship to developing more and better legal pathways for people to move across borders to needed jobs, including a variety of modalities for labor mobility, we could solve the growing challenge of labor scarcity.
computers are fast enough that high-traffic apps can be served with simple architectures, which can generally be created more cheaply and easily than complex architectures
Despite these advances, contemporary physical and evolutionary-history-based approaches produce predictions that are far short of experimental accuracy in the majority of cases in which a close homologue has not been solved experimentally and this has limited their utility for many biological applications.
I work at a StandDesk, sit in a Torsa Taskchair that I got second-hand from a local dev shop (thanks!), and sometimes use a small Wacom Bamboo tablet and a TI-83 Plus calculator.
I work at a StandDesk, sit in a Torsa Taskchair that I got second-hand from a local dev shop (thanks!), and sometimes use a small Wacom Bamboo tablet and a TI-83 Plus calculator.
Other applications I use frequently: 1Password, Slack, PureVPN, Photoshop, LICEcap (for creating screencaps to be shared with teammates or added to GitHub PRs, particularly for UI changes).
Other applications I use frequently: 1Password, Slack, PureVPN, Photoshop, LICEcap (for creating screencaps to be shared with teammates or added to GitHub PRs, particularly for UI changes).
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