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Writing by hand is good for your brain

https://nealstephenson.substack.com/p/writing-by-hand-is-good-for-your
598•dwwoelfel•5h ago•298 comments

What happened to TheNumbers.com

https://stephenfollows.com/p/what-just-happened-to-thenumberscom-should-worry-us-all
142•nickthegreek•2h ago•54 comments

Building on ATProto

https://lukekanies.com/writing/building-on-atproto/
41•speckx•1h ago•13 comments

A solid-state “atomic channel” for separating rare earth elements

https://pme.uchicago.edu/news-events/news/cleaner-route-purifying-rare-earth-elements
19•MarcoDewey•1h ago•0 comments

Software rendering in 500 lines of bare C++

https://haqr.eu/tinyrenderer/
172•mpweiher•5h ago•30 comments

Learn OpenGL, extensive tutorial resource for learning Modern OpenGL

https://learnopengl.com/
117•ibobev•4h ago•66 comments

Startup founders urge U.S. government not to shut off Chinese open weight AI

https://www.politico.com/news/2026/07/22/startup-founders-urge-trump-not-to-shut-off-chinese-open...
455•theanonymousone•4h ago•460 comments

Astronomers may have found the first exomoon

https://www.eso.org/public/news/eso2610/
153•MarcoDewey•5h ago•56 comments

Launch HN: Screenpipe (YC S26) – Record how you work and turn that into agents

30•louis030195•2h ago•31 comments

JEP 540: Simple JSON API (Now in Incubator)

https://openjdk.org/jeps/540
61•theanonymousone•3h ago•43 comments

Show HN: Palmier Pro – Open-source macOS video editor built for AI

https://github.com/palmier-io/palmier-pro
49•harrisontin•4h ago•12 comments

Why Software Factories Fail (or: harness engineering is not enough)

https://github.com/humanlayer/advanced-context-engineering-for-coding-agents/blob/main/wsff.md
90•dhorthy•4h ago•65 comments

The arguments against open source AI are bad

https://tombedor.dev/arguments-against-open-source-ai-are-very-bad/
80•jjfoooo4•2h ago•55 comments

Converting Files into Minecraft Worlds

https://wuemeli.com/blog/sulfur-part-1/
9•wuemeli•2d ago•0 comments

Learn WebGPU for C++

https://eliemichel.github.io/LearnWebGPU/
48•ibobev•4h ago•9 comments

DARPA, U.S. Air Force fly AI-controlled F-16

https://www.darpa.mil/news/2026/darpa-us-air-force-fly-ai-controlled-f-16
77•r2sk5t•5h ago•66 comments

Show HN: OneCLI – OSS credential gateway that keeps secrets out of AI agents

https://github.com/onecli/onecli
43•Jonathanfishner•3h ago•19 comments

Geekbench 7

https://www.geekbench.com/blog/2026/07/geekbench-7/
16•ilreb•1h ago•8 comments

Hybrid-Electric Aicraft Engine Targeting 30% Fuel Efficiency

https://www.rtx.com/news/news-center/2026/07/21/rtxs-pratt-whitney-canada-advances-hybrid-electri...
66•r2sk5t•5h ago•46 comments

Show HN: Trifle – Open-source analytics that stores answers, not events

https://trifle.io/
7•iluzone•1d ago•0 comments

AI Companies Are Trying to Hide a Staggering Amount of Debt

https://futurism.com/artificial-intelligence/ai-companies-hide-debt-off-balance-sheet
436•technewssss•6h ago•207 comments

Show HN: Claude-thermos – keeps your Claude session warm for you

https://github.com/izeigerman/claude-thermos
23•s0ck_r4w•2h ago•19 comments

From Evaluation to Guardrails: What We Brought to ACM FAccT 2026

https://blog.mozilla.ai/from-evaluation-to-guardrails-what-we-brought-to-acm-facct-2026/
5•royapakzad•56m ago•0 comments

Show HN: Remux – an open-source tmux workspace designed for iPhone

https://github.com/h3nock/remux
60•bitwise42•4h ago•22 comments

Meta Garbage Collection: Using OCaml's GC to GC Rust

https://soteria-tools.com/blog/meta-garbage-collection
12•annieversary•3d ago•0 comments

Free way to get your data out of ChatGPT Business accounts

https://github.com/Conradqh/scrapemychats
57•conradqh•3h ago•5 comments

OpenStreetMap: Admin_level for All Countries

https://wiki.openstreetmap.org/wiki/Tag:boundary%3Dadministrative#Table_:_Admin_level_for_all_cou...
75•ivanjermakov•4d ago•13 comments

Encryption and Globalization 15 Years Later: E2EE and the "Going Dark" Debate

https://papers.ssrn.com/sol3/papers.cfm?abstract_id=6959699
37•iamnothere•4h ago•15 comments

Emacs Is a Lispboard

https://en.andros.dev/blog/06bfd107/emacs-is-a-lispboard/
49•andros•5h ago•13 comments

Fields Medals 2026

https://www.mathunion.org/imu-awards/fields-medal/fields-medals-2026
57•nill0•5h ago•17 comments
Open in hackernews

Geekbench 7

https://www.geekbench.com/blog/2026/07/geekbench-7/
16•ilreb•1h ago

Comments

geerlingguy•1h ago
I've run it on a couple Macs, and it looks like one of the issues they're trying to fix is poor multi-core scaling that affected Geekbench 6 on bigger multicore systems (with 32, 64, or 128+ CPU cores). I'll hopefully get time to test on my Ampere Altra Max systems later, to see how scaling works.

Geekbench 5 is famously much better than Geekbench 6 for benchmarking these workstation-class CPUs (though many other benchmarks are better still, especially if you can grab the source code and compile them yourself).

I still like having a set of benchmarks that run across Android, iOS, Windows, macOS, Linux, and on Arm, X86, RISC-V, etc... even if imperfect, it's a point of reference to get a general feel. And the single core scores are a great representation of a 'feel' against baseline in day-to-day use.

wtallis•42m ago
Please stop framing the multi core scaling issue as a matter of the benchmark being good or bad. Geekbench 5 scores scale better than Geekbench 6 scores because Geekbench 5's multicore test runs N independent copies of the same workload while Geekbench 6 runs one workload that has to be split across the available cores, with non-zero coordination between threads.

The Geekbench 5 approach of pretending Amdahl's Law doesn't exist is sometimes a valid benchmarking strategy, but generally is the wrong choice for benchmarking consumer workloads and devices, and that's what Geekbench is ostensibly targeting.

The fact that Geekbench 6 scores don't increase linearly with the addition of more CPU cores is not a weakness of the benchmark, it's the benchmark demonstrating an important real-world effect.

The change that Geekbench 7 makes to exclude some subtests from the multicore suite entirely will definitely have the effect of making the overall multicore score scale better with the addition of more cores, but most of the audience for those scores is going to miss out on the fact that the multicore test now measures a narrower range of tasks than the single-core test suite.

jchw•37m ago
Hmm, I don't fully agree. There are a whole lot of embarassingly parallel processes that people interested in many core workstations are interested in; compiling large C++ codebases for example tends to scale very well since each translation unit is independent. This is still going to not quite give you linear scaling so it's definitely still valuable to know what that looks like.
osti•32m ago
You can use geekbench 5 in that case. But given that they deprecated that, it might be harder to compare to others.
osti•33m ago
I agree. For me personally I mostly only care about single thread geekbench variant, I believe it's an excellent proxy for general performance of a CPU. Multi thread geekbench (or other benchmarks) for most purposes and for most people, it's kinda useless. You just need to know that you have a quite a few cores on your computer and that it will have enough concurrency for what you do. But single thread will make whatever you do actually faster.
zamadatix•1m ago
It's bad, there is no reason it can't just give 3 results: single, mixed/low thread, multi
cosmotic•19m ago
How does this handle hardware encode/decode of media? Tje announcement says it encodestdecodes AV1 but doesnt indicate if it leverages hardware codecs.
thrownawaysz•5m ago
Never really liked Geekbench. Synthetic benchmarks are easy to use and easy to understand but borderline useless. 1000 is better than 990 but it literally doesn't mean anything at all. Just an example: the 2017 Intel Xeon gets more points than an Apple M1 on multicore but everyone knows that they are incomparable. And no one should get a 2017 Intel Xeon because it's scoring higher yet that's the whole point of Geekbench, higher score is better.

Benchmarks like 7Zip compression/decompression, LAME encoding, Blackmagic RAW video encoding, Cinebench, x265 encoding, Blender encoding, Y Cruncher, and any of the built-in video game benchmarks make much more sense than Geekbench.

Some good benchmark options here https://hwbot.org/benchmarks

https://www.pcgamingwiki.com/wiki/List_of_games_with_built-i...