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Android 17 is the first since 3.x to add new APIs without releasing to the AOSP

https://grapheneos.social/@GrapheneOS/117282080803799576
457•theanonymousone•5h ago•214 comments

How OpenAI Used Its Own LLMs to Design Its Jalapeño Chip

https://spectrum.ieee.org/llms-for-chip-design
33•maxall4•1h ago•31 comments

Cloudflare Quick Tunnels

https://try.cloudflare.com/
541•jcbhmr•10h ago•237 comments

Saving another 100TB of RAM

https://blog.cloudflare.com/saving-100-tb-of-ram-with-math/
195•f311a•5h ago•38 comments

A 1542 papal cipher cracked with simulated annealing

https://simonklee.dk/farnese-letter
19•grigolin•1d ago•1 comments

Xcode 27.1 Beta Release Notes

https://developer.apple.com/documentation/xcode-release-notes/xcode-27_1-release-notes
110•CameronBanga•5h ago•63 comments

How to Write with an LLM

https://sockpuppet.org/blog/2026/09/17/how-to-write-with-an-llm/
370•joeriddles•1d ago•262 comments

Cache-to-Cache: Direct Semantic Communication Between LLMs (2025)

https://arxiv.org/abs/2510.03215
61•rochansinha•5h ago•12 comments

Photon-Emission-Guided Laser Fault Injection Enables RP2350 Secure Debug

https://donjon.ledger.com/blog/rp2350-secure-debug-laser-fault-injection/
146•synack•7h ago•50 comments

Show HN: Cactus Needle 3: 8-29MB automation models can match DeepSeek V4 Flash

https://cactuscompute.com/needle
158•HenryNdubuaku•1d ago•75 comments

Claude Code now reads AGENTS.md if there is no Claude.md

https://code.claude.com/docs/en/changelog
472•datadrivenangel•3h ago•171 comments

The first new cat species discovered in 100 years

https://www.nationalgeographic.com/animals/article/meet-the-first-new-cat-species-discovered-in-1...
154•ohjeez•1d ago•49 comments

OpenJev

https://openjev.com/
535•ilreb•14h ago•243 comments

Cyclomatic Complexity in C#

https://blog.ndepend.com/understanding-cyclomatic-complexity/
25•gone35•2d ago•12 comments

Two parallel neural ectoderm progenitors contribute to the developing brain

https://www.newscientist.com/article/2589739-our-brain-evolved-from-two-primitive-nervous-systems...
102•Jimmc414•9h ago•52 comments

C++26: Trivial infinite loops are no longer undefined behaviour

https://www.sandordargo.com/blog/2026/09/16/cpp26-trivial-infinite-loops
142•ibobev•1d ago•182 comments

The Implications of Linguistic Illegibility for LLM Security

https://arxiv.org/abs/2609.02852
47•tomjakubowski•5h ago•17 comments

Warez: The Infrastructure and Aesthetics of Piracy (2021)

https://archive.org/details/b904a8eb-9c98-4bb1-bf25-3cb9d075b157
97•succinct_ideas•21h ago•17 comments

Minimal Phone 2

https://minimalcompany.com/
171•nashashmi•22h ago•163 comments

Column built an issuer processor from scratch

https://column.com/card-issuing/
18•Matthalp•2d ago•1 comments

Inside ZCode: Silently uploading your Git history to the cloud

https://blog.ferstar.org/en/posts/zcode-silent-workspace-snapshot-upload/
249•csmantle•18h ago•89 comments

How SpaceX streamlined the Raptor engine

https://www.construction-physics.com/p/how-spacex-streamlined-the-raptor
155•JumpCrisscross•1d ago•29 comments

Size-Specialized Memory Allocation

https://go.dev/blog/size-specialized-allocations
13•spacey•1d ago•3 comments

I vibed a proof of Conway's conjecture

https://overreacted.io/how-i-vibed-a-proof-of-conways-conjecture/
204•m-hodges•9h ago•180 comments

A search-and-inference database from scratch in pure Zig

https://antfly.io/research/antfly-zig
50•kingcauchy•3d ago•16 comments

From Geometry to Algebra and Back Again: 4000 Years of Papers (2023) [video]

https://www.youtube.com/watch?v=1cRFfYQYGxE
27•surprisetalk•1d ago•0 comments

North Korean nuclear test sets off years of earthquakes

https://www.science.org/content/article/north-korean-nuclear-test-sets-years-earthquakes
180•rbanffy•9h ago•151 comments

Cekura (YC F24) Is Hiring

https://www.ycombinator.com/companies/cekura-ai/jobs/AiWwUxI-forward-deployed-engineer-us
1•atarus•12h ago

Mathematicians Build Long-Awaited Graph Sandwich

https://www.quantamagazine.org/mathematicians-build-long-awaited-graph-sandwich-20260918/
68•ibobev•9h ago•18 comments

US Military had close call after using AI for hallucinated intelligence report

https://www.cnn.com/2026/09/18/politics/us-military-ai-false-intelligence-china-ship
377•realsarm•7h ago•295 comments
Open in hackernews

How OpenAI Used Its Own LLMs to Design Its Jalapeño Chip

https://spectrum.ieee.org/llms-for-chip-design
32•maxall4•1h ago

Comments

karim79•1h ago
I grow Jalapeños. This conflation of AI and actual chili peppers irks me.
asveikau•1h ago
Just think of how the people of Xalapa, Mexico feel. They should send them a royalty check.
Lalabadie•59m ago
I do generative art (no relation to AI prompting). I feel your frustration.
TomGarden•20m ago
Oh my!
fragmede•4m ago
Cryptographers also got the same raw deal
Razengan•56m ago
> irks me

It's jalapeño grill would you say?

karim79•49m ago
Not sure what you're talking about. But I'll tell you, home grown Jalapeño peppers, fermented with 3% salt is the stuff of dreams.
wiml•30m ago
"It's all up in yo' grill, would you say?"
Razengan•20m ago
You know what really grinds my gears? Friction.
glitchc•25m ago
Feeling the burn?
honeycrispy•24m ago
I'm annoyed that the meaning of the word "Agent" has been obliterated.

Like, why couldn't they invent a new word and not hijack an existing word?

Razengan•16m ago
Did you not watch the Matrix documentary?
MadrasTh0rn•9m ago
I guess I'll have to
karim79•12m ago
Call it GPTChippomatic or something. Please leave my peppers alone.
amelius•23m ago
Guess how electrical engineers feel about the term "transformers".
karim79•21m ago
This is an excellent comment. I'm still laughing.
frangonf•4m ago
As a former EE, attention was all I needed to not get zapped.
seanmcdirmid•2m ago
Jalapeño also used to be a Java VM written in Java at IBM.
amelius•1h ago
At some point people will use an LLM to design an Apple M series competitor.
bigyabai•1h ago
They won't, because they'd need an ARM architecture license.
pixl97•57m ago
I mean you can design anything without a license. Selling it is where the problems come up. Even then there are likely places in China that would still make it for you.
amelius•53m ago
Why, the LLM can make up its own architecture.

The value lies in the design space exploration, which is what an LLM can easily do.

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

wmf•45m ago
Arm sells architecture licenses to anybody these days.
cmrdporcupine•2m ago
Or they'll just build a competitor in RISC-V instead and that's fine.

Except the problem is not restricted to the actual ISA or its HDL implementation, etc.

It's even just getting space / time in a fab at that advanced of a process node.

cute_boi•33m ago
openai should figure out how to make lithography machine, so ASML don't have monopoly on it.
bigyabai•22m ago
"Reverse engineer this DARPA project, make no mistakes"
TomGarden•12m ago
The Chinese have been working on EUV for a while
pama•10m ago
Having worked with people doing bringup of specialized chips, I am awed at how the world has changed.

> When the first chips came back from the foundry in May, the team pointed its internal AI models at designing software to run benchmarks such as SemiAnalysis’s InferenceX. On DeepSeek’s multi-head latent attention kernel benchmark, performance climbed from 0.31 percent of the theoretical ceiling (set by the chip’s compute and memory bandwidth) to 88.94 percent in roughly 40 hours. Ho says this result is repeatable, so the time between when foundries deliver the first chips and when production ramps up can be reduced. “All our schedule assumptions are going to be based on the fact we have this capability now,” he says.

bhouston•47m ago
It is probably doable right not to push a risc-v design into that performance space.
Lramseyer•20m ago
Production grade CPU design is more than just the RTL (the source code.) To achieve the performance numbers that these companies get, you have to do a ton of optimization in your physical design to achieve the power/performance/area (PPA) metrics that make these products competitive. LLMs are not suitable for that kind of work.

There are people working on PPA optimization and trying to shake up how things are done, just not with LLMs.

btown•4m ago
Something that I think is fascinating, though, is that labs are no longer beholden to the limitations of commercial design software. Want to replace your simulator and optimizer with a fully custom verifiable stack of Lean proofs of optimality and correctness? Just throw your unlimited token budget at it.