jonbaer

This was done (somewhat) a while back with linguistics in the form of symbolic reduction, while it has no direct interpretation to code it could be used that way (or at least I saw it that way), either way I found it to be one of the more interesting ideas in AIML at the time when we were developing the spec, but I don't take credit for it. It is somewhat explained at https://medium.com/pandorabots-blog/aiml-tutorial-the-srai-t... ... all these tags are just wrappers around an execution graph but it was a neat way to filter your way down to a static answer. I tend to think about it when I read https://en.wikipedia.org/wiki/The_Master_Algorithm and his thinking behind Markov logic networks ... YMMV

I really wish ipython and bpython would have a baby.

Recursive queries ... https://aiven.io/blog/solving-the-knapsack-problem-in-postgr...

So the Airflow scheduler + notebook is with the client + you hold the data?

Just for reference there are examples in the units page ... https://en.wikipedia.org/wiki/Tesla_(unit)

I feel like there are some flaws in this, we don't usually have a "top-down" look at a mile around us if not given information (ie. fog of war), feels like we tend to point A to point B repeat because we are comfortable to take a route until otherwise told by someone else there is a shorter path. For example if someone had a drone/scout around I am sure you would be able to determine best routes and chokepoints, traffic, etc.

Not one mention of the Suez incident, https://en.wikipedia.org/wiki/2021_Suez_Canal_obstruction

I feel like I have been talking about LSH for years

Just a question about these type of apps/plugins, when it says something like this: "Add-in capabilities When this add-in is used, it Can read and make changes to your document Can send data over the Internet" is that isolated to just the pane you are currently on with the plugin?

What would the real alternative be? A single nonprofit in every market collecting operating donations for just that market?

I think what you meant was the CRT refresh rate was used for determining WHICH (multi)target was hit, explained pretty well @ https://www.youtube.com/watch?v=cu83tZIAzlA

File -> Share -> Airdrop is the closest thing I have found, I am sure a preview is in the works ...

Just curious, would it be Catalyst based? https://developer.apple.com/mac-catalyst/

What I am hoping to see is the Petra AI code stubbed out for ML/RL tasks, https://github.com/0ad/0ad/tree/master/binaries/data/mods/pu... ... nearly every manager/function there could have it's actions modified based on what it views or calculates in previous gameplay. One was introduced a few alphas back before the interface, https://github.com/agentx-cgn/Hannibal

This is probably one of the better reasons why I like 0AD [1] more than anything (besides being open sourced [2]). If you read the forums and traverse the amazing artwork it's like a history lesson and there was no 0AD so they can mix/match.

[1] - https://play0ad.com/ [2] - https://github.com/0ad/0ad

Also worth keeping tabs @ https://en.wikipedia.org/wiki/Room-temperature_superconducto...

They make better points on their readme, https://github.com/Cloud-CV/EvalAI ... I wonder about the automation of the entire model and putting the winning solution right into production and it can be shared and openly available. Imagine you just describe a problem and let the crowd produce the best and the top solution is always available with zero work.

The cable for context: https://venturebeat.com/wp-content/uploads/2021/06/Screen-Sh...

Congrats on launch. It seems a bit like FastAPI/ColabCode ... does this also work w/ Google Colab?

+1

"Some vaccines require two doses because the immune response to the first dose is rather weak. The second dose helps to better reinforce this immune response." - I would have to think over time that could be optimized somehow to just require one w/ ML and test results, etc.

So would something like tensorflow-compress[1] v4 (at some point) be the ideal candidate for breaking the current record?

[1] https://github.com/byronknoll/tensorflow-compress

Good time to watch https://en.wikipedia.org/wiki/WarGames again.

This sounds very familiar to the game I play 0ad (https://play0ad.com/), you have to actually find an enjoyable way to play RTS games but in this game I pick myself vs. 7 AI with a random map, you never get the same allies and how you develop a strategy around the market (ie. chokepoints) is a good 20% of the game. I just wish the AI decisions on diplomacy weren't so random but it sounds like that mini game will soon be solved, https://spectrum.ieee.org/tech-talk/robotics/artificial-inte...

I think you are right. There are SO many small mini games inside of nearly all RTS games which AI has yet to actually conquer, I will give another simple example, given a random map (and resources) identify chokepoints. As a human this is a huge clue on how to go about a game strategy (policy) but I have yet to find an AI do this (or optimize that part). From what I gather most time is spent on actually optimizing random build orders and modifying them along the way.

I think there is some explanation (on the previous model?) here, https://www.youtube.com/watch?v=tC01FRB0M7w

Also https://en.wikipedia.org/wiki/Quantum_key_distribution#Chine...