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AI Jargon
in little bites

AI, chips, and earnings, explained in about a minute. A little less jargon. A little more “oh, I get it.”

Free to explore. Original sources included.

Mochi: a green cat with purple hair, a frog hoodie, and a tiny lavender cat on her headwait, what does that
actually mean?
your curious little guide ♡
One useful idea at a timeSources you can openResearch from tkal
Start with this one

Mochi’s Minute · MCP

AI basics

What does MCP actually do?

It gives AI apps a shared way to connect to tools and information outside the chat. The useful question is what you’re connecting—and what you’re letting it do.

The little learning shelf

What are you curious about?

Start anywhere. No homework required.

Mochi’s pocket notebook

Keep the idea.
Lose the jargon.

A few words you’ll meet around here. Tap one for the small explanation.

Open Mochi’s full notebook ↗
Context window

The material a model can use for one response, including the response it generates. Think of the working desk, rather than everything it learned in training. Read the minute ↗

MCP

Model Context Protocol: an open standard for connecting AI apps to outside tools and information. Read the minute ↗

Inference

A trained model applying what it learned to new inputs. For a chatbot, that includes generating an answer. Read the minute ↗

HBM

High-bandwidth memory: stacks of memory placed close to an AI processor to feed it data. Follow the explanation ↗

When one minute isn’t enough

A little idea.
A bigger story.

Every story starts here with Mochi. When you want the longer version, follow the clearly marked link inside the story to tkal’s research edition.

Explained articles are free. Earnings pages have public previews; the full deep dives are for paid subscribers.

Explore Mochi’s earnings stories →
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