@Kelemasco@General_Oluchi If it was the family pet people would be all, “awwww…” and no one would be oversexualizing. Says more about them than this father. And I’m not saying I know what’s going on, I’m saying it’s ridiculous to judge based on this. Foolish judgmentalism!
The Library of Alexandria created the first catalog of all human knowledge 2,300 years ago, and a team of fewer than 20 people just finished the modern version and made it free for the entire planet.
It is called OpenAlex. The name is not an accident.
The ancient library had the Pinakes, a catalog mapping every scroll, every author, every subject. When the library fell, the map of what humanity knew fell with it.
For the last two decades, that map existed again, but it was locked up.
Elsevier owns Scopus. Clarivate owns Web of Science. If your university could not afford the subscription, you could not see the structure of science itself. Entire countries were priced out of knowing what research existed.
OpenAlex indexes 474 million scholarly works. Every author disambiguated. Every citation traced. Every institution and funder connected. It updates with roughly 50,000 new works every day.
The whole thing is CC0. Not just free to search. Free to download, copy, sell, and build on. The API allows 100,000 requests a day without an account.
The ancient library burned and the catalog was lost for two millennia.
The new one cannot burn. Anyone can hold a copy.
https://t.co/peUYYpucnc
@megbasham It’s a good example of why we need to defend a properly conservative/biblical approach. But both conservative resurgences sure have had a lot of shallow thinkers and bad actors. Disappointing. There are good conservative scholars and no shortage of books, if only we’d read them.
@JohnGoldman I’ve switched to treadmill on hot days followed by a very hot bath to extend the cardio and get the heat training in, although I’d probably use dry sauna instead if I had one.
The aerobic vs anaerobic model is not wrong because it’s simple. It’s wrong because it implies a switch where there is only a continuum.
Glycolysis is always active. Lactate is always produced and cleared. Mitochondria are always involved. There is no moment where the body “switches” from one system to another. What changes is the balance between glycolytic flux and mitochondrial capacity and lactate is the best real-time proxy of that balance.
I proposed in 2013 a model based on substrate utilization. Now I propose an update of that model built around four metabolic states. From metabolic equilibrium at Zone 2 all the way to metabolic overload, where the central question is not what fuel you’re burning, but whether the system can sustain balance.
Ultimately, the ceiling of equilibrium matters more than the ceiling of oxygen consumption.
👇
https://t.co/CWkZyRohzT
@Brady_H Honey and/or maple syrup is acceptable for easier workouts though. But when performance really matters, if you’ve found the gel(s) that works best for you, it’s pretty magic. Especially with caffeine and nitric oxide booster(s). Wait for sales and stock up!
@lsanger Just don’t make it a strict hierarchy, please. Many overlapping paths to many destinations. And then the next version could go multimodal- this book, this course, this video, this research doc, this other book, etc.
@JimAshmoreUS@Alan_Couzens@stevemagness Find out now. You can still prove something. Use that bitterness. I’m only 52, training as much as life allows for another 48. Then I’ll start golfing or something.
@jasonfried It’s consistently good product, they iterate quickly and effectively, and work well with partners. Same with Gore. And when something just works again and again, that trusted component brand adds legitimacy to any product that includes it.
Engineers who understand how to use the models and associated tools know the power. There’s more than enough support/evidence for the rest of us to get with it and figure things out in our own contexts with the tools allowed in those contexts. You likely already know this. Do it.
I'm a software engineer with 50 years of experience. If you know how to steer an LLM properly, the frontier models are extremely good at generating code. They're weak at architecture, which is one of several reasons you want a human in the loop, but they can have a very low error rate compared to most humans.
When they don't - when they generate slop - it's because you didn't know how to use the tool correctly.