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Nvidia/OpenShell: Safe, private runtime for autonomous AI agents

https://github.com/NVIDIA/OpenShell
1•gmays•1m ago•0 comments

Show HN: Wrapper – open a live terminal session from your phone

https://www.wrapper.sh/
1•icanvardar•1m ago•0 comments

The Looming Closure of China's AI Frontier

https://www.aei.org/foreign-and-defense-policy/the-looming-closure-of-chinas-ai-frontier/
1•ironyman•2m ago•0 comments

Slowly, then all at once: AI agents that know how a company works

https://www.nijho.lt/post/mindroom-at-ionq/
1•msmalina•4m ago•0 comments

Show HN: Hotel Lobby AI Video Generator – Two Photos to Rap Duet

https://hotellobbygenerator.net/
1•jerry5678•5m ago•0 comments

What MkDocs 2.0 means for your documentation projects

https://squidfunk.github.io/mkdocs-material/blog/2026/02/18/mkdocs-2.0/
1•taubek•6m ago•0 comments

Anyone Can Build an App Now, but Who Is Going to Pay for It?

https://www.vincentschmalbach.com/anyone-can-build-an-app-now-who-will-pay-for-it/
3•vincent_s•7m ago•2 comments

Don't Look Up

https://chrysalisbyauke.substack.com/p/dont-look-up
1•Poefke•8m ago•1 comments

Boston Dynamics Robot Hands

https://bostondynamics.com/blog/robot-hands-for-modern-ai-and-real-work/
1•zhoge•8m ago•0 comments

Show HN: Spens sandboxed, observable coding agents

https://spens.refwd.ai/
1•floydhead01•11m ago•0 comments

TransCAPI – UK bus and train API that measures how late things run

https://www.transcapi.com/
1•tcdc•11m ago•0 comments

GPT-6 Astra plays World of Warcraft for the first time with agent-wow

https://agent-wow.sh/gpt-6-astra-plays-world-of-warcraft-for-the-first-time-with-agent-wow/
1•almostlit•13m ago•0 comments

Subscription Price Increase for Evernote

https://twitter.com/FiachraRM/status/2105859778283221324
1•serhack_•14m ago•0 comments

The Legend of von Neumann [pdf]

https://gwern.net/doc/math/1973-halmos.pdf
2•suopspaces•14m ago•0 comments

Nvidia DGX Spark 64GB Gives Developers More Ways to Build and Scale Local AI

https://blogs.nvidia.com/blog/local-ai-dgx-spark-64gb-sync/
2•6thbit•14m ago•0 comments

The 12th-century military disaster that forever changed global finance

https://bigthink.com/books/a-fabulous-debt/
2•RickJWagner•15m ago•0 comments

Future of PM-Tools

1•heurekamala•16m ago•0 comments

Protected Quick Tunnels: simple accountless authentication for your next project

https://blog.cloudflare.com/protected-quick-tunnels/
1•6thbit•16m ago•0 comments

My Valuation Dislocations of September

https://michaelhillaert1.substack.com/p/valuation-dislocation-september-2026
1•michaelhillaert•16m ago•0 comments

Stanford prof is beating the drum for a new protocol to replace TCP

https://www.theregister.com/networks/2026/10/01/stanford-prof-is-beating-the-drum-for-a-new-proto...
1•rbanffy•16m ago•0 comments

Major Updates to Cloudflare Observability

https://blog.cloudflare.com/one-observability-platform/
1•6thbit•17m ago•0 comments

States, Filters, and Gaussian Processes

https://stochastic.blog/hidden-states-filters-and-gaussian-processes/
1•Anon84•17m ago•0 comments

Ask HN: What cool/functional thing have you built 3D printer recently?

1•boringg•18m ago•0 comments

Show HN: Moon-dev-tools – rust and egui agentic task board, shell and reviews

https://antoinemopa.github.io/moon-dev-tools/
1•antoineMoPa•22m ago•0 comments

How to train AI models using physics simulators

https://www.arenaphysica.com/publications/fem-edge-elements
1•pranade•22m ago•0 comments

Zod 4.6

https://zod.dev/blog/zod-4-6
1•stevefan1999•24m ago•0 comments

How to Almost Fry Your AI Agent (and Your Mac Mini)

https://thoughts.jock.pl/p/almost-fried-ai-agent-mac-mini-mistakes-2026
1•joozio•25m ago•0 comments

Show HN: CertScope, which CPSC rules apply to your SKU, free wizard

https://certscope.thecompound.tech
1•kyisaiah47•26m ago•0 comments

Crypto thieves attack man in home and threaten to kill pregnant wife's baby

https://www.bbc.com/news/articles/c6eq84eygz0qo
2•onemoresoop•26m ago•0 comments

Finding and Fixing Slow Queries with Pg_stat_statements

https://pginsights.dev/guides/pg-stat-statements-slow-queries
1•jerrypenna•26m ago•1 comments
Open in hackernews

Harvard particle physicist Matthew Schwartz drops 36 papers authored with Claude

https://www.reddit.com/r/Physics/comments/1wvin77/harvard_particle_physicist_matthew_schwartz_drops/
37•xqcgrek2•1h ago

Comments

phoghed•1h ago
A very high number of Redditors think they know more/better than a Harvard professor and dismiss him out of hand. May someone grant us all a measure of their confidence.
eieje12•56m ago
Brand names don’t mean much anymore.

Three words: Cambridge, Jason Arday.

f6v•43m ago
Stanford, Marc Tessier-Lavigne.
sdcfgy•41m ago
As Cambridge alumni, that one hurt when it happened. You're not wrong.
sickofparadox•13m ago
At Harvard itself, Claudine Gay.
glitchc•47m ago
Appeal to authority is a logical fallacy. Each paper will need to be judged on its own merits, irrespective of the source.
sdcfgy•40m ago
From my own experience, I'm not sure that is necessarily the case. Retraction Watch is also an interesting read.

I suspect there will be citations galore shortly, faster than anyone can think.

goalieca•39m ago
Well, many of us in Hackernews lived through grad school. We’ve seen the games. May our AI lords enshittify things even more.
iLoveOncall•29m ago
It's extremely likely that a very high number of Redditors do actually know more/better than a Harvard Particle Physics professor on the topics on which he published papers, which include ecology, health, economy, geology, etc.

This is literal slop.

b3lvedere•26m ago
Is this the same as the infinite monkeys with infinite typewriters eventually writing Shakespeare theory?
iLoveOncall•23m ago
No, because the monkeys do end up writing the work correctly. There's absolutely no guarantee that any of those papers are correct in any way.

It literally is just spam, and nothing else.

It's like the Nobel disease: https://en.wikipedia.org/wiki/Nobel_disease

b3lvedere•19m ago
Thanks. Amazing examples in that weblink.
ToValueFunfetti•18m ago
?

Surely, this is not correct. The monkeys are drastically less likely to produce valid words; the set of monkeys that produce valid words are much less likely to produce valid sentences, etc. etc. Very low bar to clear, but of course this is vastly better than infinite monkeys at producing good research.

oefrha•28m ago
As a former hep-th guy from a very reputable institution I was ready to at least skim and briefly evaluate 36 particle physics papers. Turns out most of them have nothing to do with physics. It takes a special kind of personality to have the hubris to publish in so many domains at once, and most Harvard/Princeton/etc. physicists I know would probably be critical of this. Not that the disapproval would mean much.

(I did learn much of my QFT from Schwartz’s QFT textbook though, so I hold him in higher regard than <insert random Harvard Physics prof here>.)

parthdesai•26m ago
Isn't HN similar, albeit with even more confidence?!
phoghed•6m ago
Yeah but I’ve earned it by learning JavaScript
d--b•26m ago
The professor co-wrote 36 papers (40+page each) with Claude on things ranging from clinical trials, to shared authorship between Shakespeare and the Bible, to decyphering the Voynich Manuscript.

I didn't read the papers, and I am no specialist in any of the fields that guy meddles in, but it really does sound too good to be true. And if not, well, we're entering a new era of humanity right now.

stingraycharles•21m ago
Too good to be true, or an accurate reflection of the unfortunate state of the world right now?
d--b•18m ago
what do you mean?
_the_inflator•24m ago
Remedial Math - I love it.

Wisdom of the crowd has finally proven to be more valuable than some obscure title in academia. Crowds are relentless and ruthless, kind of a red team instead of a cronyism.

PS: The infamous replication crisis deserves a honorable mention here.

well_ackshually•21m ago
"50 year old tenured teacher that slaps his name on literally everything his students put out believes he's uniquely qualified to criticize hegelian dialectics" is a headline you can read approximately every year in academia. He's out of his zone, with absolutely zero ability to review his "research" nor credibility to push it out.

May someone grant me an ounce of his hubris and I'll become president of the united states. And I'm not even a citizen.

mcphage•19m ago
> A very high number of Redditors think they know more/better than a Harvard professor and dismiss him out of hand.

How many different fields would you imagine a Harvard professor to be an expert in?

LadyCailin•57m ago
Can you just not use Reddit at all anymore without the app?
jjice•55m ago
I generally can on Safari on iOS. Sometimes I have to force desktop mode. They're making it very difficult...
nicce•53m ago
They just closed all public APIs, including RSS. Time to leave the ship soon.
Narishma•43m ago
You can use a web browser.
vlyan•43m ago
on desktop, it's going to be usable for a while longer if you can access old.reddit.com. they've finally set their sights on killing it off though.

on mobile, it's cancer like the rest of the internet, unapologetically growth-hacked with shit like "warning!!1 mature content!!1 log in with official reddit app to keep our community safe" modal you get regardless of which benign subreddit you try to browse.

cma•34m ago
You can use old reddit on mobile, use Firefox and ublock origin to hide the sidebar or videos get clipped wrong.
program_whiz•57m ago
Is this actually good? Seems like they created a new tool that allows LLM to do a lot of numerical analysis. The papers seem somewhat legit? https://bootloops.ai/papers.html

I suppose if this framework allows physics and other sciences to rapidly progress (e.g. publish more findings), that is good? It destroys a certain model we had, that science should be arduous and require a genius many years of work to uncover something, but if these papers truly add knowledge via this new tool, then this is for the good.

Not sure implications for researchers, but from the public perspective, now we have 36 new papers that increase our knowledge. But maybe an expert can weigh in, the papers might be slop?

softwaredoug•53m ago
I think we can only say we are forwarding human knowledge if a human understands the content they’re putting out in the world. I don’t know if that applies in this case, it I think it’s an important bar to clear.
program_whiz•37m ago
Yes but people doing research will be asking LLMs to review many papers prior to their reading most likely. If more humans come to understand the findings of these papers, then its good right?

I guess on a theoretical level, if you had a button which would create breakthroughs in a field, but you yourself couldn't understand it, would you push it? I would because otherwise the field may not discover it, and others will be able to understand the breakthrough.

cma•33m ago
As long as AI engineers understand it when they put it to use that shouldn't matter for the practical aspects. Most people already don't understand physics or engineering. It's just keeping the models aligned that's the big issue.
bananaflag•55m ago
If AI is so good at research then maybe instead of people researching comparatively easy problems which only get you a publication, they will research problems that matter. (I'm not dismissing here problems just because they are "easy" or "not practical", I am sure that there are a ton of worthwile ones among those, I am dismissing just those which are artificial and only researched out of publication incentives.)
bluGill•23m ago
AI is only good at a subset of problems. However in that subset it is often very good. There is a lot of "low hanging fruit" in that subset and we can learn a lot quickly by having AI work in that area.

We do of course need to watch for hallucinations, but I in general expect AI to be very good at theoretical physics. AI can take a lot of known equations and prove/propose (these are different things!) generalizations to that may or may not match reality. AI can suggest experiments to see if the predictions match the real world. Maybe string theory can finely make a non-trivial prediction that we can test in the real world...

However AI is terrible for other parts of physics (at least so far) and those are also important we shouldn't lose track of them despite the excitement that we can get from progress in things AI is good at.

bananaflag•9m ago
> AI is only good at a subset of problems.

I wouldn't count on that to last in any area.

lp4v4n•46m ago
I once read the criticism that science is already moving too fast and that wrong results get published and accepted as true because nobody reaps any laurels for verifying or reproducing results, even if that's an indispensable part of the scientific method.

Now in the age of AI this problem will be heavily accentuated. Who's going to review the quality and validity of dozens and dozens of papers being generated by a researcher who used to publish sporadically?

It's not hard to see science going through a "slop crisis" in the next few years, in the same way that now projects are getting inundated with PRs.

f6v•39m ago
> nobody reaps any laurels for verifying or reproducing results

That's not entirely true. There's a whole genre of "response" and "response to response" papers that voice concerns when there's a methodological issue. That's somewhat common in my fields (computational biology and biomedical research).

And even if a "response" isn't published, people still try to reproduce published techniques if those seem useful.

geerlingguy•23m ago
A lot of useful studies take weeks, months, or years to do the first time, and require a staff, a grant, etc. at least in medicine, physics, chemistry...

You'd be surprised how rarely (overall) reproduction / verification is attempted. Sadly, a lot of research is taken at face value. That's done quite often with AI/tech stuff these days, and even more so for scientific research. It's a hard problem.

coliveira•37m ago
Which is interesting because the solution should be obvious: use AI to reproduce results and test what's published, instead of using bogus AI to publish more bogus results.
kps•35m ago
Did he drop them because they were hallucinated, or did he millennial-drop them? I still can't tell.
guessmyname•20m ago
“Drops” as in “Releases”, not “Retracts”.

I was confused too. Whoever wrote the title(s) doesn’t know a second language, otherwise, they would have realized how confusing that was, even to native English speakers.

delichon•7m ago
Maybe he should be "sanctioned".
dataengineer56•35m ago
"drops" is unclear here - it could mean either "publishes" or "retracts"
frereubu•30m ago
Reminds me of this - https://statmodeling.stat.columbia.edu/2026/08/27/258/ - which I think was on HN at some point in the last week. The fact that (according to another comment here) these papers were in areas outside his specialism, and therefore things he doesn't have the domain knowledge to critique, makes me think we're going to see more of this special kind of madness that seems to have some kind of grandiosity at its heart. It really does feel like some people are falling hard for plausibility rather than rigour.

Edit: the papers do seem to have other names on them, and he says that all papers "were reviewed by humans for accuracy", but I still think there's a very serious risk of people being gulled into okaying something that's plausible rather than rigorously checking everything. There's enough human-generated slop in science already!

seydor•27m ago
Anus Mirabilis
glimshe•14m ago
Well, he sure met his papper publishing quota for the year.
amelius
•
41m ago
We need xcancel but for reddit.
lovelymono•26m ago
Something like https://github.com/redlib-org/redlib?
gradstudent•47m ago
who is going to parse and distill these AI generated papers? who is going review them even? Science without humans isn't science
program_whiz•39m ago
I see the point, but also if these papers provide proof that human can eventually use, or another AI system can use to make further progress, then is it for the best? A great deal of academic papers are drivel couched in dense language and prose to obfuscate the lack of substance. So far, humans rely on search engines and heuristics to avoid wasting time and energy on them. Now, humans are already using LLMs to assist in reading and understanding papers, so perhaps it still contributes to knowledge.
sourdecor•24m ago
Scientific progress only requires the scientific method, not humans being in-the-loop.
coliveira•33m ago
I believe the bar for publication should be "can this be understood by (expert) humans". If that's not the case, it may even be true, but who cares? It's not improving knowledge, which is by definition human understanding.
Gigioingiro•36m ago
I agree, will be interesting to see the evolution. I know notable sources from the US academia that points to the problem since way before the AI, even if the they are from human science and economics, don't know much about the STEM status. Accordingly, the first slop crisis got a big hit with the initial woke wave in the mid 2000', then another hit during COVID, in which thousands of pointless papers about the effect where produced and an immense amount of research effort was towards it, and now AI. Science will keep progressing, even at a faster piece, the real problem will be to justify the work and output of thousand of people and researcher that currently need a salary. It may be that the academia will adjust to split between professionals focused on the pure teaching skill, while the research and publication aspect of academia will go to have much higher barriers and restricted to less people. Relevant publication will not become a standard requirement for a successful academic career but also teaching skills.
vanviegen•21m ago
Yeah, science needs to reinvent itself.

How about this: instead of going through publishers, researchers are required (by their funding organizations) to put a bounty on falsifying the result (for, say, 10 years). The higher the bounty, the higher the 'impact factor'. Put your money where your mouth is. A bounty of at least the cost of the study should be expected for serious research.

I can imagine a 'falsification insure' industry. They'd look at reputation as well as employ people close to the subject matter to asses risk, taking over the role of peer review. But with aligned incentives.

This way researchers and institutions who don't care too much about truth are marginalized; they either have low impact factors or they'll need to pay huge falsification insure fees.

And researchers who are sceptical of certain results will have an incentive (money!) to try to replicate it.

Remaining question: who is the authority on whether a publication has been falsified?