The Trump and former president terms were likely firmly stuck together in the embedding space. The model doesn’t validate every single token it produces because validation itself requires tokens. A bloom filter of outdated embeddings will help, when the labs get around to adding it.

How so?

It’s probably brittle though? Replication implementation has to change in some ways from one version to another.

Right, it takes some effort, but it’s worth it for the benefits of sub-second latency and reduced operational overhead. We expect the WAL format for existing commands to remain relatively stable across Postgres versions, while newer commands may need additional handling.

I like to think the real world lessons in failures are valuable.

If I have this idea one day I will search for it and then think “how am I different fro that which already failed?”.

You may be interested in TITANS:

Test-Time Learning: The model updates its own memory weights while running an inference task.

Perhaps our own statefullness is a hack of nature. We have electrical signals in our brains, neurotransmitters, neuron growth. By any reasonable measure it’s a hack on top of a hack. But it works well enough for us to get buy. So it does for the agents.

That is true that intelligence is kind of a "freak of nature" in a way, but it's also true that even single neurons are extremely efficient, and the brain has a lot of recurrence that isn't represented at all really in today's artificial neural networks.

For practical fixes, consider replacing the TV with a “commercial monitor” and connecting an Apple TV device instead (or an open source thingy).

Disconnecting “smart tv” from internet to use Apple TV is possible and might work, but you will get nagged to reconnect all the time. And TV mfr will eventually try to find workarounds - purchase access to wireless connections from large-footprint connectivity providers (Xfinity WIFI, 4g/5g networks, etc) or create a p2p network among their own connected devices. I doubt they do it right now as it’s less profitable to focus on niche audience, but eventually it might become profitable enough.

The original selling point of mobile web (tiny screen with text-only data, before real mobile web) on mobile phones or even watches was checking stock prices and weather. It was really weird that checking stock prices was something you need to do on the go, especially from the watch.

Most valuable thinking is done at the margins, where you don’t have much capacity to emphasize with a diverse and unknown audience.

That said, abdicating to an LLM is the worst of all worlds - you’re not thinking and the product is not tailored.

The solution is obvious - write as much detail as you need and allow readers to interrogate the virtual you with an LLM, maybe not even reading what you write.

In very broad strokes, it seems that Europeans on the average have much more of these things than Americans.

Are they noticeable happier?

Would be nice to hear from someone who lived both sides of the pond for a long while.

Happy is tall order, but there is a uniquely American sense of impending doom that is always hanging over your shoulder that doesn’t exist in most other countries.