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OpenClaw Is Changing My Life

https://reorx.com/blog/openclaw-is-changing-my-life/
1•novoreorx•6m ago•0 comments

Everything you need to know about lasers in one photo

https://commons.wikimedia.org/wiki/File:Commercial_laser_lines.svg
1•mahirsaid•8m ago•0 comments

SCOTUS to decide if 1988 video tape privacy law applies to internet uses

https://www.jurist.org/news/2026/01/us-supreme-court-to-decide-if-1988-video-tape-privacy-law-app...
1•voxadam•9m ago•0 comments

Epstein files reveal deeper ties to scientists than previously known

https://www.nature.com/articles/d41586-026-00388-0
1•XzetaU8•16m ago•0 comments

Red teamers arrested conducting a penetration test

https://www.infosecinstitute.com/podcast/red-teamers-arrested-conducting-a-penetration-test/
1•begueradj•23m ago•0 comments

Show HN: Open-source AI powered Kubernetes IDE

https://github.com/agentkube/agentkube
1•saiyampathak•27m ago•0 comments

Show HN: Lucid – Use LLM hallucination to generate verified software specs

https://github.com/gtsbahamas/hallucination-reversing-system
1•tywells•29m ago•0 comments

AI Doesn't Write Every Framework Equally Well

https://x.com/SevenviewSteve/article/2019601506429730976
1•Osiris30•33m ago•0 comments

Aisbf – an intelligent routing proxy for OpenAI compatible clients

https://pypi.org/project/aisbf/
1•nextime•33m ago•1 comments

Let's handle 1M requests per second

https://www.youtube.com/watch?v=W4EwfEU8CGA
1•4pkjai•34m ago•0 comments

OpenClaw Partners with VirusTotal for Skill Security

https://openclaw.ai/blog/virustotal-partnership
1•zhizhenchi•35m ago•0 comments

Goal: Ship 1M Lines of Code Daily

2•feastingonslop•45m ago•0 comments

Show HN: Codex-mem, 90% fewer tokens for Codex

https://github.com/StartripAI/codex-mem
1•alfredray•47m ago•0 comments

FastLangML: FastLangML:Context‑aware lang detector for short conversational text

https://github.com/pnrajan/fastlangml
1•sachuin23•51m ago•1 comments

LineageOS 23.2

https://lineageos.org/Changelog-31/
1•pentagrama•54m ago•0 comments

Crypto Deposit Frauds

2•wwdesouza•55m ago•0 comments

Substack makes money from hosting Nazi newsletters

https://www.theguardian.com/media/2026/feb/07/revealed-how-substack-makes-money-from-hosting-nazi...
3•lostlogin•55m ago•0 comments

Framing an LLM as a safety researcher changes its language, not its judgement

https://lab.fukami.eu/LLMAAJ
1•dogacel•58m ago•0 comments

Are there anyone interested about a creator economy startup

1•Nejana•59m ago•0 comments

Show HN: Skill Lab – CLI tool for testing and quality scoring agent skills

https://github.com/8ddieHu0314/Skill-Lab
1•qu4rk5314•59m ago•0 comments

2003: What is Google's Ultimate Goal? [video]

https://www.youtube.com/watch?v=xqdi1xjtys4
1•1659447091•1h ago•0 comments

Roger Ebert Reviews "The Shawshank Redemption"

https://www.rogerebert.com/reviews/great-movie-the-shawshank-redemption-1994
1•monero-xmr•1h ago•0 comments

Busy Months in KDE Linux

https://pointieststick.com/2026/02/06/busy-months-in-kde-linux/
1•todsacerdoti•1h ago•0 comments

Zram as Swap

https://wiki.archlinux.org/title/Zram#Usage_as_swap
1•seansh•1h ago•1 comments

Green’s Dictionary of Slang - Five hundred years of the vulgar tongue

https://greensdictofslang.com/
1•mxfh•1h ago•0 comments

Nvidia CEO Says AI Capital Spending Is Appropriate, Sustainable

https://www.bloomberg.com/news/articles/2026-02-06/nvidia-ceo-says-ai-capital-spending-is-appropr...
1•virgildotcodes•1h ago•3 comments

Show HN: StyloShare – privacy-first anonymous file sharing with zero sign-up

https://www.styloshare.com
1•stylofront•1h ago•0 comments

Part 1 the Persistent Vault Issue: Your Encryption Strategy Has a Shelf Life

1•PhantomKey•1h ago•0 comments

Show HN: Teleop_xr – Modular WebXR solution for bimanual robot teleoperation

https://github.com/qrafty-ai/teleop_xr
1•playercc7•1h ago•1 comments

The Highest Exam: How the Gaokao Shapes China

https://www.lrb.co.uk/the-paper/v48/n02/iza-ding/studying-is-harmful
2•mitchbob•1h ago•1 comments
Open in hackernews

Chips for the Rest of Us

https://engineering.nyu.edu/about/unconventional-engineer/chips-for-us
60•hasheddan•2mo ago

Comments

alecco•2mo ago
> Consequently, the NYU researchers’ goal is to make chip design more accessible, so nonengineers, whatever their background can create their own custom-made chips.

What?

bigyabai•2mo ago
I'm just as confused as you are, honestly. It feels like we've seen the "ASIC for everything" campaign so many times over, and yet only FPGAs and CUDA typically find adoption in the industry.

A lot of my questions went away when I got to this line though:

> He’s also fully engaged in the third leg of the “democratizing chip design” stool: education.

This is a valiant effort. Chip design is a hard world to break into, and many applications that could benefit from ASICs aren't iterating or testing on it because it sucks to do. It's a lot of work to bring that skill ceiling down, but as a programmer I could see how an LLVM-style intermediate representation layer could help designers get up-and-running faster.

charlie-83•2mo ago
Isn't HDL basically the intermediate representation you want? Plus, you can learn it with simulation or FPGA dev board which makes it reasonably accessable
tormeh•2mo ago
All I remember from my experience with VHDL/Verilog is that they really truly suck.
bsder•2mo ago
> I'm just as confused as you are, honestly. It feels like we've seen the "ASIC for everything" campaign so many times over, and yet only FPGAs and CUDA typically find adoption in the industry.

That's because we don't need more digital. Digital transistors are effectively free (to a first approximation).

The axes that we need more of involve analog and RF. Less power consumption, better RF speed/range, higher speed PCI, etc. all require messy analog and RF design. And those are the expensive tools. Those are also the complex tools require genuine knowledge.

Now, if your AI could deliver analog and RF, you'd make a gazillion dollars. The fact that everybody knows this and still haven't pulled it off should tell you something.

tormeh•2mo ago
Would you really earn more money doing this than monopolizing online search advertising? Because I find that hard to believe. Hardware seems like a miserable business.
pesfandiar•2mo ago
That might change if geopolitical tensions fragment the global supply chains.
bsder•2mo ago
Being a fab is a garbage business.

Being a software supplier to fabless semiconductor companies is a very profitable business.

In the Gold Rush, the people who came out rich were selling the shovels and denim.

Aloisius•2mo ago
"ChatGPT: Please design a chip for me."

Basically.

kingstnap•2mo ago
Unironically what industry is trying to do. Saw a slide with basically exactly that written on it sometime ago at a conference (MLCAD).
fleshmonad•2mo ago
We have textual slop, visual slop, audio slop, so we asked: "What else do we want to sloppify?". And then it dawned on me. ICs. ICs haven't been slopped yet — sure, we could ask the machine to generate some vhdl, but that isn't the same. So we present: Silicon Slop.

I am actually astonished. Is this what happens when the NYU board of directors tells every department they have to use and create AI, or they will stop funding? What is going on?

carlCarlCarlCar•2mo ago
Ah, thanks; we definitely needed more artisanal, real human social media slop like this.

Improving the lived experience keeping it real! Feels so much more authentic.

More people would love AI if it communicated like an emo *Nix elitist. Train it on Daria, Eeyore, and grunge lyrics! People will love it!

bgwalter•2mo ago
Bootstrap framework for chips, Verilog stolen from books and from GitHub.
dmbche•2mo ago
" chip design cycle is also probably one of the most complicated engineering processes that exists in the world,” said Institute Professor Siddharth Garg (ECE). “There’s a saying that rocket science is hard, but chip design is harder.” "

Why not Rockets for the rest of us first, if that's easier?

wlesieutre•2mo ago
There’s already lots of rockets for the rest of us, they’re just not as big
gsf_emergency_6•2mo ago
Rocket science is hard because you have to burn your own cash if you are not connected. Chip design is less risky for the individual, but it's been harder (so far) to signal your mastery to the funders.

The difficulty is not (entirely) technical

gsf_emergency_6•2mo ago
uni PR wasn't bad faith, just bad placement. source is here

https://github.com/shailja-thakur/VGen

Earlier from the NYU (2023)

https://zenodo.org/records/7953725

Related (?) blog post (2023)

https://01001000.xyz/2023-12-21-ChatGPT-AI-Silicon/

stogot•2mo ago
> To address this challenge, Garg and colleagues scoured Verilog code on GitHub and excerpted content from 70 Verilog textbooks to amass the largest AI training dataset of Verilog ever assembled. The team then created VeriGen, the first specialized AI model trained solely to generate Verilog code.

I expect this will become the norm in a number of fields. Perhaps COBOL is next?

fancy_pantser•2mo ago
> The team then created VeriGen, the first specialized AI model trained solely to generate Verilog code.

Perhaps it's the first open one. I was an eng manager at a hyperscaler helping one of our clients, a large semiconductor design company, build models to use internally. It was trained on their extensive Verilog repos, tooling, and strict style guides. I see this being repeated across industries, at least since 2023 there are quite a few deep-pocketed S&P 500 orgs creating models from scratch or extensively finetuning to give unique advantages they require. They're rarely announced specifically, but you can often infer from the initial investment or partnership announcements that they're working on it.

__rito__•2mo ago
Link to the BASICS course mentioned: https://engineering.nyu.edu/academics/programs/digital-learn...

Link to the Zero to ASIC course that they are collaborating with: https://www.zerotoasiccourse.com/digital/

I wish for free alternatives to these.

christoff12•2mo ago
Are they Better Made?

(this is joke[1])

---

- [1] https://bettermade.com/product-category/potato-chips/