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MiniMax M3.1 Flash

https://www.minimax.io/blog/minimax-m31f
344•jtg•7h ago•151 comments

I built a drone with only one motor [video]

https://www.youtube.com/watch?v=Ndftcft6XhU
336•hakonjdjohnsen•14h ago•62 comments

OpenBSD 8.0 release will have inteldrm/radeondrm/amdgpu drivers from Linux 6.18

https://bsd.network/@brynet/117407035545900963
61•doener•2h ago•10 comments

Wine ported to OpenBSD

https://marc.info/?l=openbsd-ports&m=179236125692175
484•iamnothere•10h ago•162 comments

RuneScape Bench: MMOs for Agents [video]

https://www.youtube.com/watch?v=cNm4zyUtWj0
137•evakhoury•2d ago•54 comments

Putting Linux on my RTX Spark laptop because I don't have a Microsoft account

https://josie.lol/blog/linux-rtx-spark
150•pfeifferj•2h ago•66 comments

Android apps running native on macOS

https://github.com/kksimp/Mac.apk
237•flocked•7h ago•109 comments

It's still ok to enjoy programming

https://chriskiehl.com/article/it-is-still-ok-to-enjoy-programming
403•goostavos•2d ago•379 comments

One Hash Bloom Filters

https://calabro.io/ohbf
25•jcalabro•3h ago•1 comments

Timestral: Mistral's time-series foundation models

https://mistral.ai/news/timestral/
531•groar•13h ago•97 comments

Starcraft: Ashfall

https://starcraft-shooter-2026.pages.dev/
269•debo_•22h ago•95 comments

The fire retardant in the seafood chain

https://insideclimatenews.org/news/14102026/ethoxyquin-fire-retardant-in-seafood-chain/
96•gumby•2d ago•32 comments

Alternatives to animal testing are finally taking off

https://spectrum.ieee.org/alternatives-to-animal-testing
308•rbanffy•12h ago•91 comments

Drupal is now light-years ahead of its reputation

https://dri.es/state-of-drupal-presentation-september-2026
15•scottfalconer•2h ago•10 comments

Ask HN: How to deal with shipping AI-written code you don't understand?

223•rzk•12h ago•366 comments

The End of Rationing

https://sanketsaurav.com/writing/end-of-rationing
22•sanketsaurav•4h ago•12 comments

Ukraine claims first drone evacuation of wounded soldier

https://www.nbcnews.com/world/ukraine/ukraine-first-drone-evacuation-wounded-soldier-frontlines-h...
57•yzydserd•8h ago•66 comments

Credit where credit is due

https://thefloatingcontinent.com/blog/credit-is-due/
54•evakhoury•3d ago•36 comments

Evidence (YC S21) Is Hiring Software Engineers

https://evidence.dev/jobs
1•hughess•6h ago

The reverts will continue until morale improves

http://peter.eisentraut.org/blog/2026/10/09/the-reverts-will-continue-until-morale-improves
177•hans_castorp•5h ago•30 comments

Agentic Monitoring

https://benjamincongdon.me/blog/2026/10/19/Agentic-Monitoring/
23•bcongdon•9h ago•2 comments

Launch HN: Laminar (YC S24) – RL-trained model that finds errors in agent traces

44•skull8888888•7h ago•22 comments

Weball: Play Katamari on Websites

https://www.funwithcomputervision.com/weball/
4•croes•1d ago•1 comments

Chicago O'Hare digs up 50-ton boulder under airfield, asks public for name ideas

https://simpleflying.com/chicago-ohare-digs-up-50-ton-boulder-public-names/
96•Stratoscope•21h ago•80 comments

Let's Encrypt is adding two additional remote perspectives for domain validation

https://community.letsencrypt.org/t/lets-encrypt-is-adding-two-additional-remote-perspectives-for...
237•gslin•13h ago•76 comments

Plex vulnerabilities being exploited in the wild to drop a cryptominer

http://www.boredhackerblog.info/2026/10/plex-vulnerabilities-being-exploited-in.html
138•mindracer•10h ago•64 comments

Mercury 3: Diffusion at scale

https://www.inceptionlabs.ai/blog/introducing-mercury-3
212•cmrdporcupine•6h ago•83 comments

The Annotated VT100 Firmware (2022)

https://vt100.net/dec/vt100/rom/
61•Aleksandr_NFA•21h ago•3 comments

CERN and Mistral sign a statement of intent to establish a strategic partnership

https://home.cern/cern-and-mistral-join-forces-to-accelerate-ai-for-science/
308•kensai•8h ago•57 comments

GridFTP: A Brief History of Fast File Transfer (2024)

https://www.globus.org/blog/gridftp-a-brief-history-of-fast-file-transfer
3•QuantumNomad_•1h ago•0 comments
Open in hackernews

The End of Rationing

https://sanketsaurav.com/writing/end-of-rationing
22•sanketsaurav•4h ago

Comments

PaulHoule•59m ago
... by improving model efficiency so AI tokens are "too cheap to meter" or alternately not that much more expensive to operate than conventional sorts of software?

It's a different view of scaling. I mean a lot of people have this absurd idea of "super intelligence" which is like the cover of this book

https://en.wikipedia.org/wiki/Supermind_(novel)

i mean what does "intelligence quotient 10,000" even mean? On the other hand it's very easy to imagine a world where we have systems like the best ones we have now but we can really afford to use them.

TwelveEyes•53m ago
To be honest I don’t believe this is the case. Admittedly, I don’t have any experience with the best of the best models, only up to clause Opus. AI accelerates coding for myself a hell of a lot, but frankly the amount of time I spend coding complex programs feels about the same. I think there’s still a bottleneck, and it has been reiterated here before: judgement, testing, and understanding. If AI really accelerated coding, no amount of cultural inertia would be able to hold it back. It’s just not.
Grombobulous•29m ago
I was about to say something similar. The article’s premise is solid as long as we accept the assumption that AI is actually fundamentally changing the velocity and methodology of coding.

To me, so far it seems like it is and it isn’t simultaneously. Some things are going at insane paces. I see things like reverse engineering and emulation breaking barriers. But we don’t see things like the quality and complexity of highly architected systems getting much better, maybe even getting worse as management pushes velocity onto employees.

I think what this shows is that AI is great at tedium and brute forcing, but it’s not actually good at making substantially better software with less of that “rationed” expertise. At least, not yet.

xivzgrev•51m ago
People respond to incentives: Why do a hard thing when I can do an easy thing?

During the hype cycle, making "x for y" is easiest to get funded and exit.

Once the hype crashes and we're in the trough of disillusionment, then people are bearish. So founders either move to the next hype cycle or figure out a more durable business from the ashes

ares623•41m ago
The free holiday will last forever. Make your plans accordingly.
bemtevi•30m ago
I don't think any of this makes much sense. The problem that this article ignores is that people build different things with AI, not the same things but faster. They build more superficial things, more throwaway things, things that are tailor-made for chasing the buck, and it just doesn't feel genuine or interesting.

It was much the same with search. Google search allowed us to find things faster at first...but over time websites responded to that and started doing SEO crap. Now almost every search results in a billion websites that say the same thing, but shallowly. Yes you can still find some gems but was it worth it?

AI makes things faster, but now it means we can target superificial needs very quickly...and so a new breed of crap software will be built with it. As long as there's a dollar sign at the end of the road.

doginasuit•21m ago
AI makes things faster, and it pushes the envelope on what can be built. Like a telescope lets the human eye see further into space, an LLM helps track more ideas and structures within working memory. Yes, people will use this new potential to build slop. And other people will use it to build what has never been built before. The only question is which one we will prefer.
aselimov3•9m ago
By definition an LLM is unable to build what has never been built before because you are going outside the realm of pretraining/RL. You might be able to combine components that already exist in a unique way, but even then you will be fighting against the mediocre making effect of LLMs
outworlder•48s ago
That understates what LLMs are capable of doing. They can and do build things outside of their training dataset. As long as you can get there by following existing concepts, they can do it.
tonymet•24m ago
Before we were spending 10:1 on features:quality . I worry that ratio will remain, but at 100x or 1000x the velocity.

There's no reason to think that companies are suddenly going to be spending 1:1 features : quality because both are faster / cheaper .

So expect the low quality to continue, and naturally get worse, because complexity is going up 1000x

stillpointlab•23m ago
I am not sure this is default a good thing.

I recall something I once heard about product marketing. The experiment was a product like jam, and they had 3 flavour options available in one case and 12 options available in another. It was a test on how hard it was to make a decision as well as how confident the person was they made the right decision later on.

One of Sartre's points on existentialism was that radical freedom leads to anxiety.

In some sense, AI is removing scarcity. It isn't clear to me that this is the same kind of thing as going from starvation to surplus. It is more like the jam case where we aren't increasing abundance in a total sense, we increasing the options within the existing surplus.

01284a7e•16m ago
"Build me a high speed railway. Make no mistakes."

Now that SaaS CRUD apps can be built in 10 minutes, we can maybe do something more worthwhile, no? So much wasted effort has gone into this field already, in my opinion.