frontpage.
newsnewestaskshowjobs

Open Source @Github

fp.

Apple introduces M6 and M5 Ultra

https://www.apple.com/newsroom/2026/08/apple-introduces-m6-and-m5-ultra-for-a-big-leap-in-perform...
747•interpol_p•6h ago•619 comments

New Mac Studio with M5 Max and M5 Ultra

https://www.apple.com/newsroom/2026/08/apple-introduces-new-mac-studio-with-m5-max-and-m5-ultra/
604•interpol_p•6h ago•356 comments

OpenAI Jalapeño: Better than Nvidia Blackwell

https://newsletter.semianalysis.com/p/openai-jalapeno-better-than-nvidia
109•bmulholland•5h ago•44 comments

Black hole singularity is a surface not a point

https://arxiv.org/abs/2608.21590
87•raattgift•2h ago•34 comments

My Friend Aaron

https://rorz.io/writing/my-friend-aaron
169•sarreph•2h ago•39 comments

FDA authorizes first wearable device that monitors ketone and blood sugar levels

https://www.fda.gov/news-events/press-announcements/fda-authorizes-first-wearable-device-continuo...
15•sunnynagra•18m ago•1 comments

Run OpenBSD on DigitalOcean for $4/month

https://nil.wallyjones.com/run-openbsd-on-digitalocean-for-4month/
48•speckx•2h ago•18 comments

New Mac mini, featuring M6 and M5 Pro

https://www.apple.com/newsroom/2026/08/apple-unveils-a-more-powerful-mac-mini-featuring-the-all-n...
341•runako•6h ago•175 comments

Show HN: I made a Raspberry with Qwen my local car AI

https://github.com/ThinkOffApp/CarWatch
11•petruspennanen•4h ago•0 comments

Clara (YC P26) is hiring a growth engineer to bring AI doctors to market

https://www.ycombinator.com/companies/clara-2/jobs/8snci6k-founding-full-stack-growth-engineer
1•gfavvas•1h ago

Nitter project received cease and desist

https://github.com/zedeus/nitter/issues/1442
254•Banditoz•2h ago•173 comments

Dolly Parton has died

https://www.theguardian.com/music/2026/aug/25/dolly-parton-country-singer-dead
466•helsinkiandrew•1h ago•68 comments

Pgbot: A 5.9 MB read-only Postgres tool for humans and agents

https://pgbot.dev/
22•sashash•54m ago•3 comments

Show HN: LatticeDB – Like SQLite but for graph databases

https://github.com/jeffhajewski/latticedb
45•smiths1999•2h ago•11 comments

Bomb fishing is wreaking havoc on Indonesia's coral reefs

https://e360.yale.edu/digest/bomb-fishing-coral-reefs
182•speckx•4h ago•110 comments

Tracking Costco gas prices

https://www.jack.bio/blog/costco-gas-tracking
33•lafond•1d ago•19 comments

Starbase, LA

https://www.spacex.com/sites/starbase-la
99•bilsbie•2h ago•111 comments

Building a backyard office, the build and cost breakdown

https://www.imkylelambert.com/articles/building-a-backyard-office-the-build-and-cost-breakdown
167•surprisetalk•5h ago•137 comments

Don't Wordle

https://dontwordle.com/
249•Hbruz0•7h ago•103 comments

Tooltips need a delay, and then they need to skip it

https://blog.master.dev/tooltips-need-a-delay-and-then-they-need-to-skip-it/
51•ibobev•2h ago•10 comments

A new ceiling for Λ: the de Bruijn–Newman constant

https://www.judegomila.com/posts/riemann-lambda-0.1787854
30•judegomila•2h ago•4 comments

Firefox 157 will include JPEG XL by default on all platforms

https://groups.google.com/a/mozilla.org/g/dev-platform/c/3YMV4MS34KA?pli=1
78•yboris•1h ago•10 comments

Fuzzing the Gleam Compiler

https://www.kurz.net/posts/fuzzing-gleam-compiler
23•crowdhailer•2h ago•1 comments

Behaviorally fingerprinting Ox Alpha's provenance

https://www.ctgt.ai/research/behaviorally-fingerprinting-ox-alphas-provenance
6•cgorlla•4h ago•1 comments

Visualizing Binary Files

https://movq.de/blog/postings/2026-08-05/0/POSTING-en.html
38•zdw•1d ago•11 comments

Dolly Parton Has Died

https://en.wikipedia.org/wiki/Dolly_Parton
28•ColinWright•42m ago•2 comments

Show HN: Lightweight system monitor for Linux VPS written in Go

https://github.com/leodeim/vpsmon
20•ygagaga•2h ago•8 comments

Warnock: Harnessing GPU geometry amplification for vector graphics

https://dl.acm.org/doi/pdf/10.1145/3820012
27•coffeeaddict1•3h ago•2 comments

Run Minecraft in a Windows sandbox for computer use agents

https://cua.ai/docs/how-to-guides/sandbox/minecraft
17•someguy101010•3h ago•6 comments

Solving the 1+N Query Problem

https://acadia.engineering/blog/solving-the-1-plus-N-query-problem
31•wheatBread•6h ago•20 comments
Open in hackernews

OpenAI Jalapeño: Better than Nvidia Blackwell

https://newsletter.semianalysis.com/p/openai-jalapeno-better-than-nvidia
107•bmulholland•5h ago
https://www.bloomberg.com/news/articles/2026-08-25/openai-cl..., https://archive.ph/yCTrr

Comments

ChoosesBarbecue•1h ago
This is most impressive. The interesting question to me, is outside of the LLM accelerator space: will generalized chips have massive leaps in performance once LLM technology is used to create the next generation? In general, will we see rapid advances while we extract the value of these models in creating architectures? I'm so far removed from the space that this is a very naive interpretation of all this, but I'm curious.
anthonypasq•47m ago
Continued hardware improvements really make it hard for me to believe token prices will not continue to plummet.
datakan•40m ago
Token prices coming down means nothing if the models keep wasting them
gwerbin•31m ago
Hopefully this also means billionaires can stop trying to drop data centers into residential neighborhoods with zero noise control and polluting on-site generators, signing local politicians on with NDAs, calling for eminent domain to seize homes to build power lines to data centers, etc. etc. etc. Not to mention the water use controversy.

Token prices plummeting is probably a good thing, but not without the regulatory backstops that prevent these effectively industrial facilities from being operated with no regard for the externalities they impose on people who live near them.

tmp10423288442•18m ago
Nah, Jevon’s Paradox says that cheaper tokens will mean increased overall energy consumption.

If we can’t even build data centers, the least disruptive industrial use possible, there’s no hope to reindustrialize the US or anywhere outside of China.

dgellow•26m ago
There is just so much downward pressure on token price, from every direction. We would need a completely new understanding of economics to explain why the price shouldn’t go down. Or market collusion/regulatory manipulation.
simianwords•21m ago
The price has been going down for ages, its not clear what you are pointing at
mathisfun123•22m ago
this is a story about a proprietary accelerator being built/designed by a token provider. and you think they're going to return the efficiency gains to the customer instead of capture the value for themselves? interesting take.
simianwords•16m ago
Yes, I can bet on this happening. If anything, this is a net gain for consumers as it is a competitive market.
spacephysics•15m ago
We should be mindful of the context that many of these providers VERY likely have been selling their subscriptions at a substantial loss

So as much as i agree “more profits to stakeholders screw the customer”, i think its more of an emergency to get to profitability before the music stops.

anthonypasq•3m ago
> We should be mindful of the context that many of these providers VERY likely have been selling their subscriptions at a substantial loss.

what makes you think this?

anthonypasq•3m ago
OpenAI just dropped the price of Luna by 80% and Sol by 20-30%
ilaksh•13m ago
Yeah but is it really even as good as Rubin? Seems just competitive.
jrflo•12m ago
This may just be a classic case of Jevons paradox: https://en.wikipedia.org/wiki/Jevons_paradox

In short, better hardware will drive down token cost in the near-term, but will drive up the demand for tokens as it gets cheap enough for other sectors to start to use it heavily.

It comes from steam engines where economists originally thought that coal demand would plummet with more efficient engines, but it actually just meant that we found more uses for steam engines.

kilroy123•10m ago
This is exactly what I see happening now.

Codex keeps doing these usage resets. What do I do? Burn even more tokens than ever before. I know I'm not the only one.

anthonypasq•4m ago
the total cost spent on tokens may go up, but i just cant imagine per token costs going up
varispeed•43m ago
Why they don't research how to make their own RAM and they have to buy it from the common market?

They should GTFO with this crap.

Create barriers to computing for ordinary people while milking businesses for tokens.

petcat•38m ago
Building a custom-designed ASIC is much easier than producing state of the art memory chips.

There's a reason why Micron and Nvidia are the crown jewels of American technology right now and for the foreseeable future.

brcmthrowaway•35m ago
NVIDIA produces memory?
fc417fc802•28m ago
Fabless AFAIK. And that's the actual problem - drawing up CAD diagrams doesn't help if the factories are fully booked out.
Cyph0n•16m ago
A state of the art GPU is much harder to design & produce at scale and than an internal ASIC.
JV00•34m ago
Nvidia does not make RAM
datakan
epistasis•37m ago
It's so funny to see FP4.... I remember 20 years ago being asked what sort of HPC we needed in genomics, and the answer was basically, "lower precision, faster" for the stuff I was working on. But FP4 is, well, almost comical.

One thing not on that comparison table: die size. If I'm understanding that correctly, it's about the same as the Rubin, but at 1/3 the number of NVFP4 PFLOPs. (The text disagrees with the table, I'm taking the table as truth, perhaps that's wrong...)

nxtfari•29m ago
Agree, I remember when even half precision made its way into C# sometime around 2020 (I didn’t know much about ML then) and I thought, well I guess that’s a worthwhile tradeoff but I can’t imagine going lower. Lo and behold (1-bit Bonsai) how much lower you could go.
jimmySixDOF•33m ago
I love how now you have to consider the possible s** posting motivation behind analysis of a trillion dollar industry being conducted at a world-class level by a bunch of ex Reddit and 4Chan adjacent mods -- it's one of the best stories in AI that SemiAnalysis is not cut from the same cloth as Gartner McKinsey et al
verall•24m ago
semianalysis is pretty good
tmp10423288442•20m ago
SemiAnalysis’ founder was roommates with Anthropic people, not OpenAI, so he may be slightly (very slightly) more objective here.
xyzsparetimexyz•19m ago
s** posting? sex posting?
msh•7m ago
shit posting
jtxt•7m ago
Could be, but more specifically if they put "s??"
antonvs•17m ago
> I love how now you have to consider the possible s*** posting motivation behind analysis of a trillion dollar industry being conducted at a world-class level by a bunch of ex Reddit and 4Chan adjacent mods

I mean, previously you could have said something much the same except substitute "frat boys".

empath75•21m ago
When people talk about the commodification of inferencing, they imagine a future where everyone has access to frontier models and can run them at the same cost, and what will actually happen is closer to the commodification of _oil_, where only a few companies have the scale to produce it at a competitive price, and advances like this are _why_.

Once models are more or less interchangeable, the price of LLMs will drop to essentially the price of energy required to run them, and the big labs will be able to run them cheaper than anyone else.

simianwords•16m ago
I don't believe models will be commodified because each model is unique with strengths and weaknesses. Its not like Steel which is more or less the same no matter where you purchase it from.

If what you said were true, you would hardly see people complaining about the quality of Opus 5 or good writing from Sol. But people do.

airspresso•3m ago
This depends heavily on what the use-case is. Yes, if it's a coder making software and having to read LLM output then writing style matters. If the LLM is used in an automated data processing pipeline with a capped level of complexity, entirely different aspects matter and LLMs become more interchangeable.
fraboniface•14m ago
I hadn't seen the token/Joules comparison with human speech before. Humans are still 22x more efficient, which is not that far considering the rate of progress in this area.
LarsDu88•13m ago
Well Sam Altman finally has built a moat against Chinese open weight AI. Well done. But what will this mean for Cerebras?

I remember when Tesla was building its own inference chips, and after about 2 years and billions spent, the whole effort was scuttled b/c they simply could not keep up with the iteration and R&D cycles of dedicated chip companies. I suspect the same will be the case with OpenAI vs Cerebras + Nvidia/Groq

simianwords•10m ago
How can OpenAI mass produce this chip at scale more economically than Nvidia which has experience in the supply chain and scale efficiencies to do it efficiently?
airspresso•6m ago
By leveraging the experience Broadcom has in this area. Still remains to be seen how that goes when they want to scale production.
chris_money202•4m ago
In the short and medium term, it probably won't be more economical to produce for OpenAI. Where OpenAI is benefitting from their own chip is being able to tailor it to their models and workloads. When you buy off the shelf Nvidia, its not perfectly tailored and OpenAI has to spend marginally more to run off that chip. At the scale OpenAI is operating at and plans to operate at, that margin becomes pretty big $$
thebeardisred•9m ago
All of these words spilled and no mention of the ISA.
0xbadcafebee•6m ago
[delayed]
throwaw12•5m ago
Competition is good for all of us, we will get better and faster chips.

Or at least Nvidia GPUs will become slightly cheaper for regular consumers again

•
37m ago
People keep saying stuff like this without understanding what it takes to make RAM. It's one of, if not the most, heavily patented things in the world. The second you dip your toes into those waters the lawsuits begin.

If somehow you get around the patent issues, you're now faced with huge research and development costs, fabs to build, processes to sort out and all of that has very high failure rates.

Last time I checked Micron was the largest patent holder in the world and even for them this is a hard area where they are number 3 in the market.