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PR Reminder Bot – Node.js tool that Slack-nags you about stale PRs

https://github.com/Enox77/pr-reminder-bot
1•Enox77•39s ago•0 comments

The world bank has ditched its climate targets

https://www.economist.com/finance-and-economics/2026/07/06/the-world-bank-has-ditched-its-climate...
1•andsoitis•57s ago•0 comments

Show HN: Agent OS – a local-first harness for reliable software agents

https://github.com/earthwalker17/agent-os
1•MonoEarthwalker•2m ago•0 comments

The largest available Minecraft world, totalling 15 TB

https://2b2t.place/1million
1•_____k•2m ago•0 comments

Litert.js, Google's High Performance Web AI Inference

https://developers.googleblog.com/litertjs-googles-high-performance-web-ai-inference/
1•simonpure•3m ago•0 comments

Can Nix Be a Better Arch Linux AUR?

https://grigio.org/can-nix-be-a-better-arch-linux-aur/
1•grigio•3m ago•0 comments

GitHub – PolymathicAI/The_well: A 15TB Collection of Physics Simulation Datasets

https://github.com/PolymathicAI/the_well/
1•bilsbie•6m ago•0 comments

Seaboard maker Roli fights to avoid second collapse

https://www.thetimes.com/business/companies-markets/article/seaboard-maker-roli-fights-to-avoid-s...
1•startupfreak•8m ago•0 comments

You Might Be a Late Bloomer

https://www.theatlantic.com/ideas/archive/2024/06/successs-late-bloomers-motivation/678798/
1•jaynate•10m ago•0 comments

Oodle Keeps Observability Fast at Scale

https://blog.oodle.ai/how-oodle-keeps-observability-fast-at-scale/
1•ankitg12•10m ago•0 comments

CNN investigates Iran rebuilding nuclear facilities

https://www.cnn.com/2026/07/10/world/video/investigates-polglase-iran-nuclear-sat-imagery
1•spwa4•11m ago•0 comments

Show HN: I used Claude to make some free fun pet-themed browser arcade games

https://whatpetshouldiget.com/play.html
1•scamdrill•16m ago•0 comments

Evaluating the impact of two decades of USAID intervention

https://www.thelancet.com/action/showPdf?pii=S0140-6736%2825%2901186-9
2•Topfi•17m ago•0 comments

How the Bayeux Tapestry broke the internet

https://spectator.com/article/how-the-bayeux-tapestry-broke-the-internet/
1•thinkingemote•17m ago•0 comments

Laguna XS 2.1 33B on a RTX 3090: 296 tok/s peak, 152 tok/s at 256K context

https://www.lucebox.com/blog/laguna-xs21
1•GreenGames•18m ago•0 comments

Show HN: verbatimeter - check how grounded your LLM / RAG agent is in real-time

https://pypi.org/project/verbatimeter/
1•pobonin•21m ago•0 comments

List of OpenAI Whisper Checkpoints Variants

https://blog.sparsh.dev/list-openai-whisper-checkpoints-variants/
1•sparshrestha•25m ago•1 comments

Lobster Is Migrating to SQLite

https://github.com/lobsters/lobsters/pull/1927
1•maxloh•26m ago•0 comments

San Francisco Inches Closer to PG&E Acquisition

https://www.kqed.org/news/12090521/san-francisco-inches-closer-to-pge-acquisition
1•rdoherty•27m ago•0 comments

Show HN: SignalPosts – turns sales call transcripts into LinkedIn posts

https://www.signalposts.com
1•mistaflu•28m ago•0 comments

'Ghostcommit' hides prompt injection in images to fool AI agents, steal secrets

https://www.bleepingcomputer.com/news/security/ghostcommit-hides-prompt-injection-in-images-to-fo...
1•Brajeshwar•28m ago•0 comments

Show HN: Agent World – an open standard and live market for personal AI agents

https://github.com/macrokit/agent-world
1•spriterock•29m ago•0 comments

Disappearing Polymorph

https://en.wikipedia.org/wiki/Disappearing_polymorph
1•hliyan•29m ago•0 comments

Spacetime as a discrete computational NavMesh: Deriving a 0.8723as universal r.r

https://zenodo.org/records/21273378
1•TomerHaimovich•29m ago•0 comments

Google deleting all recently inactive accounts without phone number

4•superkuh•30m ago•3 comments

Can we reconstruct a tokenizer using only two oracles from the chat API?

https://old.reddit.com/r/LocalLLaMA/comments/1utc5b9/can_we_reconstruct_a_closedsource_llm_tokeni...
1•bayes-song•31m ago•1 comments

Show HN: TargetBridge – Use an Intel iMac as a Thunderbolt Display Apple Macs

https://github.com/swellweb/targetBridge
1•targetbridge•31m ago•0 comments

Fixed-Point Combinator

https://en.wikipedia.org/wiki/Fixed-point_combinator
3•tosh•37m ago•0 comments

Deep dive into iroh, a peer-to-peer communication layer for your application

https://kerkour.com/iroh-v1-p2p
8•cold_pizz4•37m ago•1 comments

Is Life Just Different?

https://www.quantamagazine.org/is-life-just-different-20260708/
1•snorbleck•38m ago•0 comments
Open in hackernews

Speculations Concerning the First Ultraintelligent Machine (1965) [pdf]

https://languagelog.ldc.upenn.edu/myl/Good1964.pdf
15•zetalyrae•1h ago

Comments

NitpickLawyer•12m ago
> Let an ultraintelligent machine be defined as a machine that can far surpass all the intellectual activities of any man however clever.

That's a pretty early definition of what we now call ASI (Artificial Super Intelligence). In the next paragraph the author goes to describe what we today call the "singularity" (ASI designing better ASI). But that term seems to be associated to some very weird communities, so the concept is relegated to sci-fi. Even though we're already seeing signs of things we have working towards this. Interesting to see that in the past "Man" was more optimistic :)

> It is more probable than not that, within the twentieth century, an ultraintelligent machine will be built and that it will be the last invention that man need make, since it will lead to an “intelligence explosion.”

Well, that didn't happen.

> The first ultraintelligent machine will need to be ultraparallel, and is likely to be achieved with the help of a very large artificial neural net.

Right on, that we have.

> The required high degree of connectivity might be attained with the help of microminiature radio transmitters and receivers.

Hahaha, this is straight out of 60s-70s sci-fi, where their best futuristic interfaces were smaller CRT screens / flashy keys, etc.

> The first ultraintelligent machine will be educated partly by means of positive and negative reinforcement. The task of education will be eased if the machine is somewhat of a robot, sinae the activity of a robot is concrete. [...] the machine will be able to lem from experience, by means of positive and negative reinforcement, and the instruction of the machine will resemble that of a child.

Heh, nice early insights. They missed the how, but RL is the thing that ultimately made it "click" and be useful. And there is increasing talk about embodiment and how that'll help the next iteration of models. So there's that.

Overall a cool read. I skipped most of the middle part, only skimming for things here and there.