chorsestudios

no, the vacuum of space does not emit heat

Yea that Charizard stopped being printed decades ago; however they have no problem printing cards that look identical to the originals other than a small logo, which many people get and feel no need to acquire the original Charizard. I don't think demand in this case is nostalgia driven - it seems more likely that the heavy presence of scalpers making it difficult for average people to acquire product at MSRP has been causing the demand to skyrocket, in addition to celebrities like Jake Paul hype streaming.

Printing supply is not infinite, theoretical or otherwise. They are printing as much as they can, and currently have a new factory scheduled for construction. Once the factory is online, the supply & demand curve will almost certainly be affected. If it gets to a point where product is abundantly available at MSRP then suddenly the scalpers move to a different market to scalp and long lines of people camping in front of Target overnight dissipate. It will be interesting to see how the market dynamics change once the factory is complete.

They do have more money, less spending power.

Not a failure to me. It is the most exciting piece of computer hardware to program apps for that I've purchased in the last decade. I understand why others consider it a failure though, and wonder how it would have performed if it weren't so expensive.

My hope was that it was going to pave the way for apple to release a pair of glasses that had some of the functionality of the Vision Pro. I'm guessing this is still one of their goals, however Meta and even SnapChat beat them to it.

Not just feedback, Lean provides validation as well.

Why is a citation necessary rather than simply wording the statement to more accurately reflect the situation?

Bread is sold both sliced and unsliced, sometimes geographic location impacts which variation is predominant.

Attempting to solve & solving open math problems probably is a good benchmark for comparing models and gauging model progression. A lot of useful info is obtained like time needed to solve the problems, identifying when not to chase dead ends, thought processes & logic steps, etc.

Yes but considering N10 was fabricated with DUV lithography right before the shift to EUV I'm not sure how fair that comparison is. That being said the density scaling of N10 nodes compared to predecessors using the same lithography technique was much higher than we have seen since with the EUV nodes. Density scaling is the most meaningful comparison metric, but it doesn't take into account additional technology developments.

This is not true, and choosing the LD50 of Melathion to represent organophosphates as a whole seems odd. He was probably thinking of nerve agents or perhaps pesticides. Take a look at the LD50's of the former. These are among the nastiest, most lethal substances known to man.

I didn't think statusline ate tokens, is this true?

I understand why it is a reasonable acquisition target for PE and worthy of exploration, but I’m not sure I understand how being acquired by PE would keep Dropbox alive longer other than shaking up the leadership and shifting priorities. Perhaps aggressively targeting enterprise customers currently using Box after rolling out the necessary features?

No but the Clay Mathematics Institute will give you $1,000,000 if you solve one of the 6 remaining Millennium Prize Problems, and if you solve certain Erdos problems you can get $10-10,000.

Not sure if people not caring about cash flow and profitability is applicable across the board, it might just be because SpaceX is one of Elon's companies which seem to defy traditional financial analytic standards.

I've been using LLMs to create visualizations for math papers I come across. Prompting "Create a visualization for each segment of this article in the style of a 3 brown 1 blue video using manim." has yielded impressive results.

It helps me digest the content faster and allows me to read more articles than I otherwise would.

Thinking Machines, the started founded by former OpenAI CTO Mira Murati. The interaction models demo’s in their videos imo breaks the awkward turn-based barrier. Returning responses quickly reaches a threshold where it starts to feel like a natural conversation. Their approach to solving this problem is rather clever.

This is only true under the assumption that RAM price per GB scales linearly.

xAI could tie in just fine without Cursor in the picture.

To help learn I use LLMs to generate practice exams for whatever I'm trying to learn, then on the questions I struggle with have the LLMs explain the logic and point out my mistakes. I haven't been in college for over a decade, this is just for topics I'm curious about and want to learn. For any serious topic I recommend auditing the practice exams with a different LLM than the one used to generate to help reduce hallucinations. Seems to work well for me. I quite like reading the "thought" processes shown by DeepSeek.

Not necessarily a bad thing, I'd rather see attempts at innovation or moonshot ideas than sitting on the cash. These are calculated business moves targeting ideas that have a reasonably high chance of success. Isn't Google's graveyard an example of too much cash chasing too few ideas?

Were you auto-committing everything without reading the generated code? and if you read it but didn't understand it why not just ask for detailed comments for each output? Knowing that a larger codebase causes it to struggle means the output needs to be increasingly scrutinized as it becomes more complex.

People noted similar issues ever since LLMs came out, but the rate at which they have been rapidly improving on all of these is significant. Documentation being 4x too long could probably be fixed with a rule instructing the agent to keep it concise and no longer than 2-3 paragraphs.

In my mind, the idea of AGI running amok isn't literal, instead what it enables;

Optimizing & simulating war plans, predicting enemy movements/retaliation - prompting which attacks are likely to produce the most collateral damage or political advantage. How large of a bomb? which city for most damage? Should we drop 2?? Choices such as drone striking an oil refinery vs bombing a children's hospital vs blowing up a small boat that might be smuggling narcotics.

A key detail I found lacking in this article was the manufacturing cost difference. It mentions that it is more expensive, but no indication of how much more expensive.

True, however in the past we didn’t have LLMs. I would pay good money for a Clippy powered by a capable LLM.

This practice is referred to as Mithridatism. Snake venom injections will help develop an increased metabolic tolerance, but this not quite the same as developing a vaccine. Bill Haast injected himself for years with gradually increasing quantities of snake venom. His blood was able to be used in place of anti-venom.

https://en.m.wikipedia.org/wiki/Bill_Haast

This particular bump in sales might be attributable to the boom in computer sales resulting from COVID and the surge in WFH.

From [2] “ All natural uranium today contains 0.720% of U-235. If you were to extract it from the Earth’s crust, or from rocks from the moon or in meteorites, that’s what you would find. But that bit of rock from Oklo contained only 0.717%.”

I find it interesting that the .003% difference in U-235 was a large enough deviation to attract attention to Oklo. Thanks for the link

That article linked does not completely rule out MOND. It is a great article, but it even mentions several difficulties that complicate their observations.

Thank you for this information, exactly what I was looking for