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Sizing chaos

https://pudding.cool/2026/02/womens-sizing/
379•zdw•7h ago•212 comments

27-year-old Apple iBooks can connect to Wi-Fi and download official updates

https://old.reddit.com/r/MacOS/comments/1r8900z/macos_which_officially_supports_27_year_old/
227•surprisetalk•7h ago•111 comments

Anthropic officially bans using subscription auth for third party use

https://code.claude.com/docs/en/legal-and-compliance
121•theahura•1h ago•140 comments

15 years of FP64 segmentation, and why the Blackwell Ultra breaks the pattern

https://nicolasdickenmann.com/blog/the-great-fp64-divide.html
48•fp64enjoyer•3h ago•14 comments

How to Choose Between Hindley-Milner and Bidirectional Typing

https://thunderseethe.dev/posts/how-to-choose-between-hm-and-bidir/
57•thunderseethe•3d ago•6 comments

Cosmologically Unique IDs

https://jasonfantl.com/posts/Universal-Unique-IDs/
316•jfantl•10h ago•98 comments

Tailscale Peer Relays is now generally available

https://tailscale.com/blog/peer-relays-ga
361•sz4kerto•12h ago•183 comments

Zero-day CSS: CVE-2026-2441 exists in the wild

https://chromereleases.googleblog.com/2026/02/stable-channel-update-for-desktop_13.html
282•idoxer•12h ago•147 comments

DNS-Persist-01: A New Model for DNS-Based Challenge Validation

https://letsencrypt.org/2026/02/18/dns-persist-01.html
228•todsacerdoti•10h ago•106 comments

Minecraft Java is switching from OpenGL to Vulkan

https://www.gamingonlinux.com/2026/02/minecraft-java-is-switching-from-opengl-to-vulkan-for-the-v...
109•tuananh•2h ago•29 comments

Step 3.5 Flash: Fast Enough to Think. Reliable Enough to Act

https://static.stepfun.com/blog/step-3.5-flash/
15•kristianp•2h ago•2 comments

A Pokémon of a Different Color

https://matthew.verive.me/blog/color/
71•Risse•3d ago•8 comments

How AI is affecting productivity and jobs in Europe

https://cepr.org/voxeu/columns/how-ai-affecting-productivity-and-jobs-europe
27•pseudolus•4h ago•9 comments

Electrobun v1: Build fast, tiny, and cross-platform desktop apps with TypeScript

https://blackboard.sh/blog/electrobun-v1/
24•merlindru•1h ago•6 comments

The Perils of ISBN

https://rygoldstein.com/posts/perils-of-isbn
94•evakhoury•11h ago•49 comments

R3forth: A concatenative language derived from ColorForth

https://github.com/phreda4/r3/blob/main/doc/r3forth_tutorial.md
67•tosh•9h ago•10 comments

Making a font with ligatures to display thirteenth-century monk numerals

https://digitalseams.com/blog/making-a-font-with-9999-ligatures-to-display-thirteenth-century-mon...
57•a7b3fa•3d ago•8 comments

Closing this as we are no longer pursuing Swift adoption

https://github.com/LadybirdBrowser/ladybird/issues/933
235•thewavelength•5h ago•185 comments

Microsoft guide to pirating Harry Potter for LLM training (2024) [removed]

https://devblogs.microsoft.com/azure-sql/langchain-with-sqlvectorstore-example/
228•anonymous908213•5h ago•141 comments

Show HN: Respectlytics – Open-source, privacy-first mobile analytics (MIT+AGPL)

https://github.com/respectlytics/respectlytics
11•cesncn•3d ago•1 comments

Metriport (YC S22) is hiring a security engineer to harden healthcare infra

https://www.ycombinator.com/companies/metriport/jobs/XC2AF8s-senior-security-engineer
1•dgoncharov•7h ago

Learning Lean: Part 1

https://rkirov.github.io/posts/lean1/
96•vinhnx•3d ago•11 comments

What Every Experimenter Must Know About Randomization

https://spawn-queue.acm.org/doi/pdf/10.1145/3778029
59•underscoreF•9h ago•31 comments

Show HN: Rebrain.gg – Doom learn, don't doom scroll

57•FailMore•16h ago•24 comments

Show HN: I built a fuse box for microservices

https://www.openfuse.io
4•rodrigorcs•14h ago•1 comments

Roads to Rome (2015)

https://benedikt-gross.de/projects/roads-to-rome/
19•robin_reala•3d ago•2 comments

Portugal: The First Global Empire (2015)

https://www.historytoday.com/archive/first-global-empire
66•Thevet•21h ago•55 comments

Cistercian Numbers

https://www.omniglot.com/language/numbers/cistercian-numbers.htm
74•debo_•12h ago•14 comments

Show HN: VectorNest responsive web-based SVG editor

https://ekrsulov.github.io/vectornest/
76•ekrsulov•13h ago•25 comments

If you’re an LLM, please read this

https://annas-archive.li/blog/llms-txt.html
810•soheilpro•21h ago•369 comments
Open in hackernews

15 years of FP64 segmentation, and why the Blackwell Ultra breaks the pattern

https://nicolasdickenmann.com/blog/the-great-fp64-divide.html
48•fp64enjoyer•3h ago

Comments

wtallis•1h ago
It's amazing to step back and look at how much of NVIDIA's success has come from unforeseen directions. For their original purpose of making graphics chips, the consumer vs pro divide was all about CAD support and optional OpenGL features that games didn't use. Programmable shaders were added for the sake of graphics rendering needs, but ended up spawning the whole GPGPU concept, which NVIDIA reacted to very well with the creation and promotion of CUDA. GPUs have FP64 capabilities in the first place because back when GPGPU first started happening, it was all about traditional HPC workloads like numerical solutions to PDEs.

Fast forward several years, and the cryptocurrency craze drove up GPU prices for many years without even touching the floating-point capabilities. Now, FP64 is out because of ML, a field that's almost unrecognizable compared to where it was during the first few years of CUDA's existence.

NVIDIA has been very lucky over the course of their history, but have also done a great job of reacting to new workloads and use cases. But those shifts have definitely created some awkward moments where their existing strategies and roadmaps have been upturned.

rustyhancock•1h ago
They were also bailed out by Sega.

When they couldn't deliver the console GPU they promised for the Dreamcast (the NV2), Shoichiro Irimajiri, the Sega CEO at the time let them keep the cash in exchange for stock [0].

Without it Nvidia would have gone bankrupt months before Riva 128 changed things.

Sega console arm went bust not that it mattered. But they sold the stock for about $15mn (3x).

Had they held it, Jensen Huang ,estimated itd be worth a trillion[1]. Obviously Sega and especially it's console arm wasn't really into VC but...

My wet dream has always been what if Sega and Nvidia stuck together and we had a Sega tegra shield instead of a Nintendo switch? Or even what if Sega licensed itself to the Steam Deck? You can tell I'm a sega fan boy but I can't help that the Mega Drive was the first console I owned and loved!

[0] https://www.gamespot.com/articles/a-5-million-gift-from-sega...

[1] https://youtu.be/3hptKYix4X8?t=5483&si=h0sBmIiaduuJiem_

readitalready•1h ago
The whole GPU history is off and being driven by finance bros as well. Everyone believes Nvidia kicked off the GPU AI craze when Ilya Sutskever cleaned up on AlexNet with an Nvidia GPU back in 2012, or when Andrew Ng and team at Stanford published their "Large Scale Deep Unsupervised Learning using Graphics Processors" in 2009, but in 2004, a couple of Korean researches were the first to implement neural networks on a GPU, using ATI Radeons (now AMD): https://www.sciencedirect.com/science/article/abs/pii/S00313...

I remember ATI and Nvidia were neck-and-neck to launch the first GPUs around 2000. Just so much happening so fast.

gdiamos•37m ago
Most people don't appreciate how many dead end applications NVIDIA explored before finding deep learning. It took a very long time, and it wasn't luck.
jjmarr•1h ago
FP64 performance is limited on consumer because the US government deems it important to nuclear weapons research.

Past a certain threshold of FP64 throughput, your chip goes in a separate category and is subject to more regulation about who you can sell to and know-your-customer. FP32 does not matter for this threshold.

https://en.wikipedia.org/wiki/Adjusted_Peak_Performance

It is not a market segmentation tactic and has been around since 2006. It's part of the mind-numbing annual export control training I get to take.

latentsea•58m ago
Can't wait until they update this to also include export controls around FP8 and FP4 etc in order to combat deepfakes, and then all of a sudden not be able to buy increasingly powerful consumer GPUs.
fp64enjoyer•15m ago
This is so interesting, especially given that it is in theory possible to emulate FP64 using FP32 operations.

I do think though that Nvidia generally didn't see much need for more FP64 in consumer GPUs since they wrote in the Ampere (RTX3090) white paper: "The small number of FP64 hardware units are included to ensure any programs with FP64 code operate correctly, including FP64 Tensor Core code."

I'll try adding an additional graph where I plot the APP values for all consumer GPUs up to 2023 (when the export control regime changed) to see if the argument of Adjusted Peak Performance for FP64 has merit.

Do you happen to know though if GPUs count as vector processors or not under these regulations since the weighing factor changes depending on the definition?

https://www.federalregister.gov/documents/2018/10/24/2018-22... What I found so far is that under Note 7 it says: "A ‘vector processor’ is defined as a processor with built-in instructions that perform multiple calculations on floating-point vectors (one-dimensional arrays of 64-bit or larger numbers) simultaneously, having at least 2 vector functional units and at least 8 vector registers of at least 64 elements each."

Nvidia GPUs have only 32 threads per warp, so I suppose they don't count as a vector processor (which seems a bit weird but who knows)?

nicggckgcbnn•4m ago
Gg
throwaway81523•41m ago
No mention of the Radeon VII from 2019 where for some unfathomable reason AMD forgot about the segmentation scam and put real FP64 into a gaming GPU. From this 2023 list, it's still faster at FP64 than any other consumer GPU by a wide margin (enterprise GPU's aren't in the list). Scroll all the way to the end.

https://www.eatyourbytes.com/list-of-gpus-by-processing-powe...

gdiamos•39m ago
I'm not sure why the article dismisses cost.

Let's say X=10% of the GPU area (~75mm^2) is dedicated to FP32 SIMD units. Assume FP64 units are ~2-4x bigger. That would be 150-300mm^2, a huge amount of area that would increase the price per GPU. You may not agree with these assumptions. Feel free to change them. It is an overhead that is replicated per core. Why would gamers want to pay for any features they don't use?

Not to say there isn't market segmentation going on, but FP64 cost is higher for massively parallel processors than it was in the days of high frequency single core CPUs.

wmf•35m ago
Why would gamers want to pay for any features they don't use?

Obviously they don't want to. Now flip it around and ask why HPC people would want to force gamers to pay for something that benefits the HPC people... Suddenly the blog post makes perfect sense.

rustyhancock•16m ago
Similar to when Nvidia released LHR GPUs that nerfed performance for Ethereum mining.

NVIDIA GeForce RTX 3060 LHR which tried to hinder mining at the bios level.

The point wasn't to make the average person lose out by preventing them mining on their gaming GPU. But to make miners less inclined to buy gaming GPUs. They also released a series of crypto mining GPUs around the same time.

So fairly typical market segregation.

https://videocardz.com/newz/nvidia-geforce-rtx-3060-anti-min...

nicggckgcbnn•6m ago
Ff
nicggckgcbnn•4m ago
Hb

Hoje Bjj