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Aggregated the discussions for easier reading: https://hn-discussions.top/venezuela-maduro-captured-us-stri...

1. Ask HN: What books changed the way you think about almost everything? - https://news.ycombinator.com/item?id=19087418

2. Ask HN: What are the best MOOCs you've taken? - https://news.ycombinator.com/item?id=16745042

3. Ask HN: How to self-learn electronics? - https://news.ycombinator.com/item?id=16775744

4. Ask HN: Successful one-person online businesses? - https://news.ycombinator.com/item?id=21332072

5. Ask HN: What's the most valuable thing you can learn in an hour? - https://news.ycombinator.com/item?id=21581361

6. Ask HN: What are your “brain hacks” that help you manage everyday situations? - https://news.ycombinator.com/item?id=18588727

7. Ask HN: What do you do with your Raspberry Pi? - https://news.ycombinator.com/item?id=20264911

8. Ask HN: What are your favorite low-coding apps / tools as a developer? - https://news.ycombinator.com/item?id=22786853

9. Machine Learning 101 slidedeck: 2 years of headbanging, so you don't have to - https://news.ycombinator.com/item?id=15919115

10. Ask HN: Mind bending books to read and never be the same as before? - https://news.ycombinator.com/item?id=23151144

11. Questions to ask a company during a job interview - https://news.ycombinator.com/item?id=20916749

12. Ask HN: What are some books where the reader learns by building projects? - https://news.ycombinator.com/item?id=22299180

13. Ask HN: Name one idea that changed your life - https://news.ycombinator.com/item?id=23092657

14. Systems Design for Advanced Beginners - https://news.ycombinator.com/item?id=23904000

15. Mathematics for the Adventurous Self-Learner - https://news.ycombinator.com/item?id=22400375

16. Teach Yourself Computer Science - https://news.ycombinator.com/item?id=23588896

17. Basic Social Skills Guide (2012) - https://news.ycombinator.com/item?id=21585235

18. How to be a Manager – A step-by-step guide to leading a team - https://news.ycombinator.com/item?id=17238135

19. Tricks to start working despite not feeling like it - https://news.ycombinator.com/item?id=22105229

20. Machine Learning Crash Course - https://news.ycombinator.com/item?id=16493489

21. Most favorited Hacker News posts of all time - https://news.ycombinator.com/item?id=24351073

22. Gears - https://news.ycombinator.com/item?id=22310813

23. The boring technology behind a one-person Internet company (2018) - https://news.ycombinator.com/item?id=20985875

24. A guide to difficult conversations - https://news.ycombinator.com/item?id=19490573

25. How to stop procrastinating by using the Fogg Behavior Model - https://news.ycombinator.com/item?id=24120275

26. Ask HN: What's a promising area to work on? - https://news.ycombinator.com/item?id=21324768

27. Linux Productivity Tools (2019) [pdf] - https://news.ycombinator.com/item?id=23229241

28. Ask HN: Best book / resources on leadership, especially for tech teams? - https://news.ycombinator.com/item?id=21712194

29. Ask HN: What is your favorite YouTube channel for developers? - https://news.ycombinator.com/item?id=12702651

30. Algorithms, by Jeff Erickson - https://news.ycombinator.com/item?id=18805624

31. Build Your Own React - https://news.ycombinator.com/item?id=21536789

32. Ask HN: What are the best textbooks in your field of expertise? - https://news.ycombinator.com/item?id=18104814

33. Ask HN: What's your quarantine side project? - https://news.ycombinator.com/item?id=23170881

34. The missing semester of CS education - https://news.ycombinator.com/item?id=22226380

35. Medium-hard SQL interview questions - https://news.ycombinator.com/item?id=23053981

36. The Importance of Deep Work and the 30-Hour Method for Learning a New Skill - https://news.ycombinator.com/item?id=17163251

37. My productivity app for the past 12 years has been a single .txt file - https://news.ycombinator.com/item?id=22276184

38. Ask HN: What Skills to Acquire in 2020? - https://news.ycombinator.com/item?id=22235279

39. Ask HN: What are some books where the reader learns by building one project? - https://news.ycombinator.com/item?id=13660086

40. Ask HN: What language-agnostic programming books should I read? - https://news.ycombinator.com/item?id=14486657

41. Ask HN: Where can I find high-end stock images for a website? - https://news.ycombinator.com/item?id=15602538

42. Ask HN: What overlooked class of tools should a self-taught programmer look into - https://news.ycombinator.com/item?id=19900955

43. Advanced Data Structures (2017) - https://news.ycombinator.com/item?id=20044876

44. Immersive Linear Algebra (2016) - https://news.ycombinator.com/item?id=19264048

45. Ask HN: How to get started with machine learning? - https://news.ycombinator.com/item?id=12713056

46. Tools for Better Thinking - https://news.ycombinator.com/item?id=23339830

47. Ask HN: Best books you read in the past decade? - https://news.ycombinator.com/item?id=21900498

48. Startup idea checklist - https://news.ycombinator.com/item?id=20254057

49. Ask HN: Favorite teachers on YouTube? - https://news.ycombinator.com/item?id=17999659

50. Ask HN: What startup/technology is on your 'to watch' list? - https://news.ycombinator.com/item?id=23276456


If anyone's interested: last year I generated around 7,000 images using DALL•E 2 and uploaded them to https://generrated.com/

I wanted a way to experiment/see what DALL•E 2 could create and share with others as some sort of inspiration/a starting point.

This was before the API was available, so I had to generate and save them all manually. And it was rather expensive! But fun.

Looks like I'll have to update them all for DALL•E 3 when I get access.


I took this a step further, turning charts into infographics using stable diffusion (SDXL)

https://karimjedda.com/beautiful-data-visualizations-powered...


Here's how I describe KL Divergence, building up from simple to complex concepts.

surprisal: how surprised I am when I learn the value of X

  Suprisal(x) = -log p(X=x)
entropy: how surprised I expect to be

  H(p)        = 𝔼_X -log p(X) 
              = ∑_x p(X=x) * -log p(X=x)
cross-entropy: how surprised I expect Bob to be (if Bob's beliefs are q instead of p)

  H(p,q)      = 𝔼_X -log q(X) 
              = ∑_x p(X=x) * -log q(X=x)
KL divergence: how much *more* surprised I expect Bob to be than me

  Dkl(p || q) = H(p,q) - H(p,p)
              = ∑_x p(X=x) * log p(X=x)/q(X=x)
information gain: how much less surprised I expect Bob to be if he knew that Y=y

  IG(q|Y=y)   = Dkl(q(X|Y=y) || q(X))
mutual information: how much information I expect to gain about X from learning the value of Y

  I(X;Y)      = 𝔼_Y IG(q|Y=y)
                𝔼_Y Dkl(q(X|Y=y) || q(X))

So what the heck has happened with LK-99 really? (Disclaimer: I'm no physicist nor chemist, but I have co-written a report on three LK-99 papers [1] and am tracking the Twitter discussion as much as I can. I also got some help from knowledgable friends---much thanks for proof-reading.)

It turned out that LK folks were not talking about some stupid shit. Specifically they were one of the last believers of long-forgotten Russian theory of superconductivity, pioneered by Nikolay Bogolyubov. The accepted theory is entirely based on Cooper pairs, but this theory suggests that a sufficient constraint on electrons may allow superconductivity without actual Cooper pairs. This requires carefully positioned point defects in the crystalline structure, which contemporary scientists consider unlikely and such mode of SC was never formally categorized unlike type-I and type-II SC. Professor Tong-seek Chair (최동식) represented a regret about this status quo (in 90s, but still applies today) that this theory was largely forgotten without the proper assessment after the fall of USSR. It was also a very interesting twist that Iris Alexandria, "that Russian catgirl chemist", had an advisor who was a physicist-cum-biochemist studied this theory and as a result were so familiar with the theory that they were able to tell if replications follow the theoretical prediction.

Fast forward to today, students of the late Chair continued the research and produced a possible superconducting substance---LK-99---based on the Russian theory. A lot can be said about papers themselves, but it should be first noted that this substance is not a strict superconductor in the current theory. Prof. Chair once suggested that we need to trade off some (less desirable) properties of superconductors for room-temperature superconductivity, and that property seems to be isotropy. This particularly weakens the Meissner effect criterion due to the much reduced Eddy current, so there is a possibility that LK-99, even when it's real, might not be accepted as a superconductor in the traditional sense. LK folks on the other hand think they should be also considered a superconductor, but they are probably already aware of this possibility.

If we allow anisotropy in this discussion, we do have lots of such things already, most importantly carbon nanotubes. Scientists even thought about the possibility that they may function as typical superconductors [2], without any success though. So it might be appropriate to say that LK-99 is a substance that mimics them in one direction, but much more malleable. And that is an actually significant result (if true, of course) because for most uses a strict type-I superconductor is far more than sufficient, while implications of superconductivity are more achievable. We so far looked for strict superconductors only because we didn't know the effective way to trigger superconductivity otherwise; LK-99 might change that situation.

This whole discourse should make you more careful to conclude whether LK-99 is a superconductor or not, because we may well end up with a revised definition of SC as a result. If LK-99 makes superconductivity much easier to trigger it should be considered a superconductor in the macroscopic sense, authors would argue. Only the time will tell if they indeed made such a substance and it would be malleable enough to be substitutes for other superconductors, but they have a long history and arguably received unfair treatments. And they are about to fight back.

[1] https://hackmd.io/@sanxiyn/S1hejVXo3 (Semi-automatically translated: https://hackmd.io/DMjYGOJFRheZw5XZU8kqKg)

[2] For example, https://twitter.com/MichaelSFuhrer/status/168696072754495897...

----

This post is now also available as a standalone version: https://hackmd.io/@lifthrasiir/lk-99-prehistory & https://twitter.com/senokay/status/1687360854315151360


Related:

Localrf – Nerf from casual shaky videos - https://news.ycombinator.com/item?id=36348483 - June 2023 (30 comments)

Zip-NeRF: Anti-Aliased Grid-Based Neural Radiance Fields - https://news.ycombinator.com/item?id=36208942 - June 2023 (47 comments)

HumanRF: High-Fidelity Neural Radiance Fields for Humans in Motion - https://news.ycombinator.com/item?id=35946893 - May 2023 (16 comments)

HDR-NeRF: High Dynamic Range Neural Radiance Fields - https://news.ycombinator.com/item?id=35717106 - April 2023 (36 comments)

HOSNeRF: Dynamic Human-Object-Scene Neural Radiance Fields from a Single Video - https://news.ycombinator.com/item?id=35696328 - April 2023 (1 comment)

Zip-NeRF: Anti-aliased grid-based neural radiance fields [video] - https://news.ycombinator.com/item?id=35569246 - April 2023 (18 comments)

F2-NeRF: Fast Neural Radiance Field Training with Free Camera Trajectories - https://news.ycombinator.com/item?id=35358360 - March 2023 (15 comments)

Nerfstudio: A collaboration friendly studio for NeRFs - https://news.ycombinator.com/item?id=33096449 - Oct 2022 (25 comments, with https://news.ycombinator.com/item?id=33102886 being a particularly good explanation)

MoRF: Morphable radiance fields for multiview neural head modeling - https://news.ycombinator.com/item?id=32237473 - July 2022 (1 comment)

NeRF: An eventual successor for deepfakes? - https://news.ycombinator.com/item?id=31894552 - June 2022 (160 comments)

Block-NeRF: Scalable Large Scene Neural View Synthesis - https://news.ycombinator.com/item?id=30891051 - April 2022 (3 comments)

Nvidia Research Turns 2D Photos into 3D Scenes - https://news.ycombinator.com/item?id=30806925 - March 2022 (228 comments)

Scalable Large Scene Neural View Synthesis - https://news.ycombinator.com/item?id=30299498 - Feb 2022 (12 comments)

DONeRF: Towards Real-Time Rendering of Compact Neural Radiance Fields - https://news.ycombinator.com/item?id=27658661 - June 2021 (13 comments)

PlenOctrees For Real-time Rendering of Neural Radiance Fields (NeRFs) - https://news.ycombinator.com/item?id=26597419 - March 2021 (31 comments)

Deformable Neural Radiance Fields - https://news.ycombinator.com/item?id=26017783 - Feb 2021 (1 comment)

PixelNeRF Neural Radiance Fields from One or Few Images - https://news.ycombinator.com/item?id=25298426 - Dec 2020 (55 comments)

NeRF in the Wild: reconstructing 3D scenes from internet photography - https://news.ycombinator.com/item?id=24071787 - Aug 2020 (124 comments)

NeRF: Neural Radiance Fields [video] - https://news.ycombinator.com/item?id=22764774 - April 2020 (1 comment)

NeRF: Representing scenes as neural radiance fields for view synthesis - https://news.ycombinator.com/item?id=22637721 - March 2020 (40 comments)


Would be interesting to get a list of those 40 papers mentioned

Yes. The CPU and GPU demand has nothing to do with it. The reason is the car industry.

For some reason in early 2020 all the car industry execs were convinced that people would buy dramatically fewer cars in 2020, due to pandemic crashing demand. Because they have a religious aversion to holding any stock they decided to shift the risk over to their suppliers, fucking said suppliers over, as the car industry normally does when they expect demand shifts. The thing that made this particular time special as opposed to business as usual is that the car execs all got it wrong, because people bought way more cars due to pandemic rather than less, due to moving out of cities and avoiding public transit. So they fucked over their suppliers a second time by demanding all those orders back.

Now, suppose you're a supplier of some sort of motor driver or power conversion chip (PMIC) in early 2020. You run 200 wafers per month through a fab running some early 2000s process. Half your yearly revenue is a customized part for a particular auto vendor. That vendor calls you up and tells you that they will not be paying you for any parts this year, and you can figure out what to do with them. You can't afford to run your production at half the revenue, so you're screwed. You call up your fab and ask if you can get out of that contract and pay a penalty for doing so, and you reduce your fab order to 100 wafers per month, so you can at least serve your other customers. The fab is annoyed but they put out an announcement that a slot is free, and another vendor making a PMIC for computer motherboards buys it, because they can use the extra capacity and expect increased demand for computers. So far so normal. One vendor screwed, but they'll manage, one fab slightly annoyed that they had to reduce throughput a tiny bit while they find a new buyer.

Then a few months later the car manufacturer calls you again and asks for their orders back, and more on top. You tell them to fuck off, because you can no longer manufacture it this year. They tell you they will pay literally anything because their production lines can't run without it because (for religious reasons) they have zero inventory buffers. So what do you do? You call up your fab and they say they can't help you, that slot is already gone. So you ask them to change which mask they use for the wafers you already have reserved, and instead of making your usual non-automotive products, you only make the customized chip for the automotive market. And then, because they screwed you over so badly, and you already lost lots of money and had to lay off staff due to the carmaker, you charge them 6x to 8x the price. All your other customers are now screwed, but you still come out barely ahead. Now, of course the customer not only asked for their old orders back, but more. So you call up all the other customers of the fab you use and ask them if they're willing to trade their fab slots for money. Some do, causing a shortage of whatever they make as well. Repeat this same story for literally every chipmaker that makes anything used by a car. This was the situation in January 2021. Then, several major fabs were destroyed (several in Texas, when the big freeze killed the air pumps keeping the cleanrooms sterile, and the water pipes in the walls of the buildings burst and contaminated other facilities, and one in Japan due to a fire) making the already bad problem worse. So there are several mechanisms that make part availability poor here:

1. The part you want is used in cars. Car manufacturers have locked in the following year or so of production, and "any amount extra you can make in that time" for a multiple of the normal price. Either you can't get the parts at all or you'll be paying a massive premium.

2. The part you want is not used in cars, but is made by someone who makes other parts on the same process that are used in cars. Your part has been deprioritized and will not be manufactured for months. Meanwhile stock runs out and those who hold any stock massively raise prices.

3. The part you want is not used in cars, and the manufacturer doesn't supply the car industry, but uses a process used by someone who does. Car IC suppliers have bought out their fab slots, so the part will not be manufactured for months.

4. The part you want is not used in cars, and doesn't share a process with parts that are. However, it's on the BOM of a popular product that uses such parts, and the manufacturer has seen what the market looks like and is stocking up for months ahead. Distributor inventory is therefore zero and new stock gets snapped up as soon as it shows up because a single missing part means you can't produce your product.

So here we are. Shameless plug - email me if you are screwed by this and need help getting your product re-engineered to the new reality. There's a handful of manufacturers, usually obscure companies in mainland China that only really sell to the internal market, that are much less affected. Some have drop-in replacement parts for things that are out of stock, others have functionally similar parts that can be used with minor design adaptation. I've been doing that kind of redesign work for customers this whole year. Don't email me if you work in/for the car industry. You guys poisoned the well for all of us so deal with it yourselves.


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