HN user

jonbaer

67,903 karma
Posts13,939
Comments330
View on HN
build.nvidia.com 19h ago

NVIDIA Synthetic Video Detector

jonbaer
4pts0
www.axios.com 5d ago

China just erased America's AI lead

jonbaer
5pts1
www.theatlantic.com 6d ago

The Hidden Cost of Optimizing Everything

jonbaer
2pts0
www.youtube.com 7d ago

The Scariest Chart in Electrical Engineering [video]

jonbaer
4pts0
www.youtube.com 7d ago

Carl Sagan and the 4th Dimension [video]

jonbaer
3pts0
github.com 9d ago

GeoLibre v2.0.0

jonbaer
1pts0
old.reddit.com 11d ago

How the Chinese use wires to catch rocket boosters

jonbaer
4pts1
www.npr.org 11d ago

FCC weighs changing E-Rate program, which lowers school internet bills

jonbaer
2pts0
pgrust.com 12d ago

Pgrust – Postgres, Rewritten in Rust

jonbaer
3pts1
columnar.tech 13d ago

The DuckDB ADBC Extension

jonbaer
7pts0
arxiv.org 16d ago

The Hitchhiker's Guide to Agentic AI

jonbaer
51pts4
termiprotocol.com 19d ago

The Termi Protocol: Watch AI Coding Agents Build in 3D

jonbaer
3pts1
www.youtube.com 19d ago

Why AI Tokens are so Expensive [video]

jonbaer
3pts3
www.icann.org 21d ago

The First Message Transmission

jonbaer
1pts0
www.sciencedaily.com 21d ago

Scientists discover unexpected way to make pancreatic cancer cells self-destruct

jonbaer
4pts0
www.nextplatform.com 21d ago

Three HPC Gurus Ask: Do We Still Need GPUs?

jonbaer
3pts0
www.bytebase.com 26d ago

Why It's So Hard to Add a Column in the Middle of a PostgreSQL Table

jonbaer
3pts0
www.nextplatform.com 27d ago

A Deep Dive on China's "LineShine" All-CPU, Exaflops-Class Supercomputer

jonbaer
4pts0
www.theregister.com 28d ago

OpenAI Codex bombards SSDs with needless write operations, costing millions

jonbaer
4pts1
top500.org 28d ago

LineShine Debuts at No. 1 as the TOP500 Enters a New Global Exascale Era

jonbaer
13pts1
arstechnica.com 29d ago

A US military exercise to launch a satellite on short notice

jonbaer
114pts84
a-maherr.github.io 29d ago

World Cup 26 Goal Map

jonbaer
5pts1
openai.com 29d ago

Patch the Planet

jonbaer
3pts0
www.nbcnews.com 1mo ago

Highly sensitive radio telescope array to be built in Nevada desert

jonbaer
4pts0
oliverjessner.at 1mo ago

SQLite Hub

jonbaer
4pts0
github.com 1mo ago

Agent Finder

jonbaer
2pts0
www.nytimes.com 1mo ago

Leading Deepfake Expert No Longer Trusts His Own Eyes

jonbaer
4pts0
myteamtanks.com 1mo ago

Losing on Purpose: The Economics of NBA Tanking

jonbaer
4pts0
modeltell.com 1mo ago

Modeltell – The Linguistic Fingerprints of AI

jonbaer
4pts0
brew-browser.zerologic.com 1mo ago

Brew Browser – A Native macOS GUI for Homebrew

jonbaer
2pts0
OpenRA 25 days ago

As a developer on the game (0AD) I must say I find it way more relaxing than RA and Starcraft(n) and easier to manage with only 4 basic resources. As for the AI challenge on all of these games it comes down to how fast you analyze random terrains and the most optimized opening build order - something they (RTS) all share in common.

Some of this has to also do w/ the environment. If you have a solid weekend pickup game of any kind and a park/rink/court closes it is pretty much the end of that group, as much as you might try to find another spot it is never the same.

"You’re carrying around in your head a model of how the world works" (or so you thought) ... the real AI is in a) how fast you can realize it's changed and b) how fast you can adapt. This bit isn't being optimized, it's being dragged out.

Well back then you had to be (think) original in fooling a human, and many bots made sure NOT to include copyright material. Also many of them were run locally (and in memory), so they ran faster and without the need for GPU memory (not to mention GPUs/CUDA were not readily available - or available at all - either).

We developed ALICE and AIML (https://en.wikipedia.org/wiki/Artificial_Intelligence_Markup...) as a way to program bots (some of my work included adding scripting and a learning mechanism), at the time it was open sourced but AOL literally threw it into it's AIM service at certain points. There were plenty of "connectors" for different services, but the real ironic bit was that there was a central Graphmaster class which was extremely memory intensive. This was all before AWS and Cloud.