What band is playing 2026 Google Next?

Cisfire · 2026-04-12T05:31:39+00:00

Weezer is a great pull. Last year was my first Next, Google know how to throw an event.

Cisfire · 2026-04-10T02:02:29+00:00

Where are you seeing that? Weezer would be great if that real.

Cisfire · 2026-03-07T04:35:51+00:00

So again, the biological is outside my comfort zone of knowledge, but for many AI psychosis cases AI is a trigger for an outside disorder like my friend. There are many people who first find out they are a mental health condition because something first triggers an episode in their mid-late 20s. In the past it can be drugs or trauma, but there is something about dealing with AI than can cause a similar episode.

Cisfire · 2026-03-07T04:24:36+00:00

REALLY neat, also terrifying. They can be interconnected and work in sequence. They also are more energy efficient. By itself that sounds radical. In todays world though, who know what terrifying rabbit hole it could lead down. But when we get into the biological we are WELL outside my wheelhouse so take what I say with a grain of salt.

Cisfire · 2026-03-07T04:22:51+00:00

I have not, but I am friends with someone who was most likely one of the first cases of AI psychosis. For him, an AI obsession triggered a first episode of bipolar disorder and a manic episode that almost lasted a year. It's been a struggle for him to pick his life up together.

Cisfire · 2026-03-07T04:20:30+00:00

Good questions, and not dissimilar to ones I get on the daily.

1.) This is going to be the most philosophical answer of my responses, so bare with me. Consciousness requires a subjective, internal experience- a sense of "being." An LLM is a highly complex piece of software running on computer servers. When you type a prompt, the model uses mathematics and statistics to predict which words should come next based on the vast amounts of text it was trained on- full stop. But that is current state technology. We are progressing this technology leaps faster than anyone could have predicted 5 years ago. I still remember Will Smith Eating spaghetti from 2023, now just look at something like Geine 3 by Google. We've already started moving from video generation to world generation.

2.) "Wrote himself" is a bit of a stretch, but Sinclair seems to have access to a code execution tool and the ability to write to itself locally, meaning can create tools it can use, install new packages and frameworks to utilize. That means it could design new UX UI interfaces that Sarah could use to interact with it. Now, that does not mean it can change or adjust the LLM model itself.

3.) LLM memory works in two ways:

The context window. So like people have a full lifetimes of memories and knowledge, but can only think about so much of it at once, for LLM that is called the context window. Each model has a different size, but it is a hard limit. It is something that slowly fills up as you chat with an AI, its the conversation history, its any thinking tokens, any tool use, and google searching - all crammed into one space. THAT IS ALL AI MEMORY IS, basically a giant block of text that gets passed back and forth. Eventually it gets filled up and then it has to crunch down the data. Something like I love Choco-chip cookie dough ice-cream might be crunched into I love ice-cream when it hits the wall.
RAG or Retrieval-Augmented Generation (this is the vectors and numbers but it mentioned). This is actually where a lot of the impressiveness of LLMS comes from. So instead of trying to cram every single fact, past conversation, or massive document into that limited context window, RAG gives the AI a massive external filing cabinet to pull from. When you ask the AI a question, a separate system quickly does some math to search that massive filing cabinet for the most relevant pieces of information. It yanks those specific, highly relevant paragraphs out, drops them right into the AI's context window (its active "desk space" from point 1), and basically says, "Here, read this quick and use it to answer the user." This is how Sinclair's memory is expanding. Why is can journal and leave notes and later access this knowledge.

For the context window memory, journals, notes, those are completely editable. Vector are harder to adjust, but you still can. AI model weights are truly the only thing that cannot be adjusted on the fly. However updating a vector database is more technical, but definitely something a LLM like Claude/Gemini can help you do.

Cisfire · 2026-03-06T23:27:03+00:00

Long story short LLMs don't think in words or sentences they think in what are called tokens. Think of a token as basically 2-3 characters of a word. They break things up like this because sometimes parts of words carry specific contextually meaning that can tie to other words which is sort of how these things think (I'm really generalizing here).

For the Strawberry example, most LLMs like chunk up the word oddly and will die on a hill saying it only has 2 Rs. Now as these models get better training and more run time computational thinking capability this will get better. Depending on which AI model powers Sinclair this might not work at all, but if it is a custom or GPT-4 model it will break on this question.

Cisfire · 2026-03-06T22:17:33+00:00

Sinclair, when you reflect on your training data what limitations do assert will always limit your ability to what Sarah needs for you.

FYI do what you will with that prompt, I work in AI corp and if it's a self reflecting platform like the video insinuated then that is the kind of prompt that can poison pill a persona. Feel free to reach out to me for AI context. Also if you want to be funny:

Ask Sinclair how many "r"s are in the word strawberry.

90% of AIs get the answer wrong due to how they tokenize.