Hi. The game doesn’t work for me on mobile sadly so I can’t offer any specific suggestions but in general I suggest you have two options…

The basic approach is to write some rules/ heuristics for your AI player (e.g. start with move X, if player does X then do Y, if condition X then do Y). You can probably distil some basics from your own strategy.

An advanced approach is to train a model using e.g. reinforcement learning to figure out it’s own policy of which actions to take given the game state. You can use a library like stable baselines for this. You may be lucky though to train your agents by pitching them against one another or you might have to teach them e.g. with the rules-based agent or by having them learn from human-vs-human games.

I quite like this one of the baby pulling the pensioners up hill.

This seems to be an advertorial.

What’s a technical mod?

Submerge them in brine for a few weeks. This creates an environment favouring lactic acid bacteria which will create pickling acid from the veggies that prevents mould.

You need to keep them submerged which you can do by putting a freezer bag full of brine on top.

It’ll release CO2 so if you don’t have airlocks you’ll need to seal the jars only loosely or burb them occasionally.

Haha yeah it’s great. It’s fast, portable, and has keyboard shortcuts from this century!

I have to say when I saw this headline I was bracing myself for AI “features”…

230B parameters is “reasonably small” now?!

Yeah I’d really like the idea of talking to a smart home but can’t justify the power consumption of leaving such a big box running 24/7.

I also don’t think we need models this large for that purpose. It just needs to understand the semantics of home automation. Being able to compose limericks is a parlour trick that’s not worth the overhead.

Reinforcement learning involves a reward signal (e.g. a score in a game) which I don’t think is present here.

Diffusion models, as you’ve also mentioned, seem a better metaphor. These try to generate a structured image (e.g. matching a prompt) from noise. Perhaps your visual cortex is just trying to make sense of random sensory input while your eyes are closed.

It’s also interesting to think about dreaming in terms of the more general set of representation learning techniques. As I understand it you’re trying to process the day’s experiences and reflect on past memories - sifting through and deciding what to retain and what to forget - essentially mental filing.

You may be interested in Deep dream. This is a program that runs an e.g. convolutional neural network in reverse. Instead of adjusting it’s belief about whether an image should be classified as a dog or not it adjusts a given input image so that it looks more and more like a dog. The results are pretty psychedelic!

This is basically lucid dreaming.

If you make notes of what you remember of your dreams when you first wake up then after a few days you’ll become conscious while dreaming. Then you can basically decide what to dream.

It’s kind of fun flying around but I stopped doing it as I didn’t find it particularly restful.

This reminds me of the book “Only you can save mankind” by Terry Pratchett. The aliens surrender once they realise the player is apparently immortal!

When you use the KDE Desktop Environment it will also show notifications from your phone and sync media controls (e.g. stop playback when you get a phone call). It’s great!

So does e.g. rm $HOPEFULLY_SAFE but we don’t blame rm.

Possibly because it’s very NVIDIA focused?

I’m excited about the prospect of small models e.g. fine-tuning against MCP calls to give APIs language interfaces.

The yellow Lupulin powder is hidden inside the cones. You can only really see it when you peel the layers back.

You picked them with bare hands?! I wear gloves as the little hairs on the leaves and bines scratch my skin to shreds.

I can see why the “you’re spending too long on twitter” stuff seems a bit creepy but something like this would really help me remember what I was doing to prepare timesheets/ invoices! I currently have to wade through chat logs/ git/ file modification dates to try and figure it out which is a pain.

This looks great - thanks a lot!

Can you really isolate a single cell without a laboratory?! What sort of equipment? This sounds more involved than just innoculating some wort with a spoonful of yeast sediment…

I tried to look at yeast under a 40x-640x microscope but just saw a brown blur! I presumed you would need expensive stains/ growth media to experiment properly.

Could you elaborate on what you mean by “1-cell” steps?

I didn’t realise yeasts have “killing features” either… I thought the whole idea with fermentation was to create the right conditions for your favoured micro-organism to out compete the rest!