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Tool to use signal without a smartphone

https://github.com/almet/signal-without-smartphone
1•almet•57s ago•0 comments

Expedition takes first images of Shackleton's last ship, Quest, in Labrador Sea

https://www.whoi.edu/press-room/news-release/quest-images/
1•bookofjoe•4m ago•0 comments

How AI Became More Expensive Than the Workers It Replaced [video]

https://www.youtube.com/watch?v=cfaZZPjA3g0
1•Bender•6m ago•0 comments

China's Open AI Models Are Advancing Its Global Soft Power

https://www.noemamag.com/chinas-open-ai-models-are-advancing-its-global-soft-power/
3•Gooblebrai•6m ago•0 comments

Academics building open‑source agents for academic and research work

https://www.agents4academia.org/
1•kkaleb•10m ago•0 comments

I made a Pirate MMO with Fable and the game is only 5MB

https://www.reddit.com/r/ClaudeAI/s/Iw8gUeuk96
2•m0dE•11m ago•1 comments

ASK HN: Is it only for me? Or GPT 5.6 Ultra rly love cartoons looks?

https://a.sekor.eu.org/cdc.html
1•modinfo•13m ago•0 comments

Go-Flavored Concurrency in C

https://antonz.org/concurrency-in-c/
2•ingve•15m ago•0 comments

SHOW HN: Beta TPMS Screening for Additive Manufacturing (Describe Your Part)

https://cpetpms.com/
2•andymvince•15m ago•0 comments

Zeal 8-Bit Computer

https://zeal8bit.com/
3•gregsadetsky•17m ago•0 comments

Are there cyberthreat Intel aggregation apps/websites for executives and CISO?

1•elsadek•19m ago•0 comments

The Descent to C (2013)

https://www.chiark.greenend.org.uk/~sgtatham/cdescent/
2•downbad_•20m ago•0 comments

The Decline of Deviance 2

https://www.experimental-history.com/p/the-decline-of-deviance-2
2•paulpauper•22m ago•0 comments

FT: Apple sues OpenAI, alleging it stole top-secret information

https://www.ft.com/content/5054739e-7f97-455c-910a-dd8a8150fed2
2•colinhb•22m ago•1 comments

China did not manage to avoid a crash

https://www.noahpinion.blog/p/no-china-did-not-manage-to-avoid
2•paulpauper•22m ago•0 comments

Sixteen Fun Facts About Me

https://fiddlersgreene.substack.com/p/the-rise-and-fall-of-nowhere-man
2•paulpauper•23m ago•0 comments

Apple sues OpenAI over alleged trade secret theft

https://techcrunch.com/2026/07/10/apple-sues-openai-over-alleged-trade-secret-theft/
5•shadowtree•24m ago•0 comments

Apple sues OpenAI for trade secret theft

https://www.axios.com/2026/07/10/apple-sues-openai-trade-secret-theft
4•elorant•26m ago•0 comments

Invoice Enclosed

https://www.cerias.purdue.edu/site/blog/post/inv-e
3•billybuckwheat•28m ago•0 comments

The Case of the Ancient Astronauts (1979) [video]

https://archive.org/details/thecaseoftheancientastronauts
1•petethomas•29m ago•0 comments

Apple Sues OpenAI, Accusing It of Stealing Company Secrets

https://www.nytimes.com/2026/07/10/technology/apple-openai-lawsuit.html
12•jbegley•31m ago•0 comments

Rust Service Isn't Leaking – It Could Be the Allocator

https://pranitha.dev/posts/rust-and-memory-allocators/
1•birdculture•33m ago•0 comments

Four years later, Apple bends to India's demands over card payments

https://appleinsider.com/articles/26/07/06/four-years-on-apple-bends-to-indias-demands-over-card-...
2•thisislife2•34m ago•0 comments

Channel 5: We're Being Sued [video]

https://www.youtube.com/watch?v=WKQ2FD7rMN4
3•haunter•34m ago•0 comments

Ask HN: Would you play AI developed games?

2•Monotoko•42m ago•7 comments

Apple files lawsuit accusing OpenAI of stealing trade secrets

https://apnews.com/article/apple-openai-lawsuit-trade-secrets-theft-6fff8833f5889d86406b89a02dd8fb16
14•root-parent•44m ago•1 comments

When AWS, Azure, or GCP Becomes the Competition (2019)

https://www.gkogan.co/big-cloud/
1•downbad_•44m ago•0 comments

AVTensor: A High-Performance Rust Media Decoder for Training Pipelines

https://runwayml.com/news/avtensor-a-high-performance-rust-media-decoder-for-training-pipelines
1•nielka•46m ago•0 comments

Minnesota daycare owner pleads guilty to 2 fraud charges

https://www.cbsnews.com/minnesota/news/fahima-mahamud-fraud-guilty-plea/
9•donsupreme•46m ago•0 comments

Apple accuses OpenAI of using stolen trade secrets to create its AI gadgets

https://www.cnn.com/2026/07/10/tech/apple-openai-devices-lawsuit
13•haunter•47m ago•0 comments
Open in hackernews

GPT-5.6, Grok 4.5, Claude, and Muse Spark build the same 4 apps

https://www.tryai.dev/blog/gpt-5.6-build-off-12-models
55•hershyb_•59m ago

Comments

joehabeebs•39m ago
Interesting tests being done but I can't help but think it limits testing innovation in some way given that the requested apps are essentially all clones of others
christophilus•35m ago
I hear this take a lot, but every app I’ve ever built was like 80% similar to every other app out there. The unique/ creative part of an app is not the bulk of it, and LLMs have been pretty good at helping me explore the 20%, too.
billyp-rva•23m ago
Calculator / Rubik's cube / game of life apps should be very close to 100% identical, right? I don't see the point of asking an AI for one of these when there are dozens (hundreds?) of repos that all have exactly what you want.
sgk284•29m ago
Similarly, we updated our model arena (52 apps each built by 26 models) to have GPT 5.6 Sol, Terra, and Luna today:

https://arena.logic.inc/

It's really interesting to see the Sol/Terra/Luna apps side-by-side.

I need to add these stats somewhere in the UI, but one interesting take away: Terra took 1/2 as much wall-clock time as Sol, but Luna took more wall-clock time than Sol (by about 23%). It's still much much cheaper, but it seems like Terra is likely a more optimal time/cost balance for most use cases.

The Terra quality is usually nearly as good as Sol, but much faster and cheaper. I do appreciate Sol's design sensibilities (see, for example, the audio sequencer). It's the first model in a while that is clearly distinct on that front. They'd all converged to very similar visuals for a while.

vitorsr•4m ago
What caught my eye was:

            Model  Lines of Code  File Size  Gzip Size 
      GPT-5.6 Sol          1,264    35.5 KB    10.0 KB 
    GPT-5.6 Terra            827    20.0 KB     6.7 KB
ianm218•27m ago
This does seem to validate the critique that models like GLM are benchmaxxed and not as close to the frontier as you’d think based on their numbers.
ttoinou•25m ago

   "This isn't objective." Correct, and we are not pretending it is. We are not handing down a scientific verdict. 

Actually, you are doing rational investigation in a fuzzy probabilistic new/emergent space, with open sharing to the world. I don’t understand why people downplay themselves and put on a pedestal others supposedly serious sciences.
adammarples•15m ago
Because serious science is hard and valuable for its rigour, and shouldn't be compared with just poking at data to see what happens
chris_money202•12m ago
Don't be fooled, there is politics, opinions, and less rigor in science as well.
minimaxir•12m ago
It's a preemptive defense against methodology cynicism seen often on sites including but not limited to Hacker News. I've been guilty of including such defenses myself over the years because I've gotten annoyed with receiving such cynicism.

Look at the top comment on their previous HN submission: https://news.ycombinator.com/item?id=48839886

sixhobbits•8m ago
because if you don’t put this disclaimer the top comment is always "Acthually this isn't real science because you didn't publish your P value" so you can't win.

also the article itself is clearly LLM generated though

kibae•24m ago
The cost seems to be using the wrong symbol: ¢ vs $
delichon•14m ago
Nope, they're that cheap. E.g. Grok 4.5 is $.02 to $.06 per million tokens. A 400 token reply costs ~.002¢

https://www.tryai.dev/models/grok-4.5

il•10m ago
Grok 4.5 is $2/$6 there's no model anywhere close to that cheap
delichon•5m ago
The numbers come from the tryai.dev link:

  How much does Grok 4.5 cost on TryAI?
  Grok 4.5 is Input: $0.02 / 1M tokens, Output: $0.06 / 1M tokens. There is no subscription — you pay only for what you use.
smusamashah•22m ago
"One honest caveat", "no glitches, no color changes" good tests and I read it to the end but I wish it was written by a human.
CharlesW•20m ago
> We generated a big pile of artifacts, we are publishing all of them, and you can form your own opinion.

My opinion is that two gimmicky "one-shot prompting shootout" marketing pieces in two days smells like desperation. I'm not sure you understand what a turnoff this is for potential customers.

thebigspacefuck•15m ago
(LM)Arena is basically this. IMO it’s the best benchmark that avoids benchmaxxing

Agent: https://arena.ai/leaderboard/agent

Web dev: https://arena.ai/leaderboard/code/webdev

Currently Fable and 5.6 are neck and neck on web dev which is basically the same finding as this.

rbehrends•10m ago
My concern with most of these visual benchmarks, popular as they are, is that they are likely more indicative of knowledge (i.e. how comprehensive the training data is and how well it can be retrieved from the model) than of reasoning ability. I don't see in particular how a model would construct a CoT that mapped somehow to a representation of the cube geometry and its animations in latent space without a large chunk of that being pre-existing information.
throw310822•8m ago
"Elon and Bezos watch a Blue Origin landing" svgs are super cute, and incredibly like children's drawings. They also nail Bezos' features pretty well.
sangupta•7m ago
Sign-in via Google is broken - it redirects back to localhost from Supabase :)
CompoundEyes•6m ago
It’s interesting how a the model names and versions are like SKUS taking up space on a display shelf. I look forward to whatever Sagittarius A* does!
paxys•5m ago
> Separate question, separate table. This is our standard latency harness (three short prompts, five reps, 400-token cap), not the build tasks. tok/s is output tokens over wall-clock, uniform for all.

> so their tok/s is a ceiling, not a true decode rate. The clear read: the GPT-5.6 tiers are the snappiest models here on short prompts (Luna answers in about a second), Qwen is absurdly cheap and fast, and DeepSeek and GLM are the slowpokes

You put in a lot of good work, and kudos for that, but man, reading paragraphs like these just puts me off of the entire piece.

Like…how hard would it have been really to type these two sentences by hand, in your own natural voice?

dinkleberg•4m ago
Is this how I learn that Bezos now has a beard? Interesting that it is a detail that all of the models chose to include (unless that was in the prompt and just not put in the post).
ricardobeat•3m ago
Obviously AI-written, but I'm wondering if the evaluation was left to AI as well? Muse Spark has the best Rubik's cube by far, one of two that are actually animating, yet it gets a 2/5
jakevoytko•4m ago
Because for its entire existence, the top HN comment on articles is typically a contrarian take or pointing out flaws. This goes double for a study, where people just hunt for some aspect of the methodology they dislike. If you don't address the flaws, then it looks like you never considered them, and the top comment will say that your entire methodology is suspect. It's super predictable to the point that you can harness this kind of reaction to get stuff on the frontpage if you really want to.
boondongle•3m ago
Ultimately advocates exist for models and there are incredible financial incentives for some to be advocates, so authors are guaranteed someone being mad if their horse doesn't perform well.

Given that type of reaction is inevitable, it just saves the conversation.