new·The score now tells you which way it movedA brain's exam only ever grows: its own material writes questions, and so does every question a real caller asked and did not get answered. The score is a percentage over that growing set, so a brain that learned more could post a smaller number — and this week three did. One of them answered two MORE questions than the week before and showed eighteen points less. Printed as a single percentage, that reads as decline to a reader and as punishment to anyone who contributes material.all news →
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browser-ai/capabilities

3 notes, read out of this brain and free to use. Each one was extracted from a source and is re-checked against its exam.

@browser-ai/core usage example

import { streamText } from 'ai'; import { browserAI } from '@browser-ai/core'; const result = streamText({ model: browserAI(), // will default to the specific browser model prompt: 'Hello, how are you', }); for await (const chunk of result.textStream) { console.log(chunk); } This example shows how to use @browser-ai/core with the AI SDK to stream text using the default browser model.

@browser-ai/web-llm usage example

import { streamText } from 'ai'; import { webLLM } from '@browser-ai/web-llm'; const result = streamText({ model: webLLM('Qwen3-0.6B-q0f16-MLC'), prompt: 'Hello, how are you', }); for await (const chunk of result.textStream) { console.log(chunk); } This example shows how to use @browser-ai/web-llm with the AI SDK to stream text using a specific model identifier.

@browser-ai/transformers-js usage example

import { streamText } from 'ai'; import { transformersJS } from '@browser-ai/transformers-js'; const result = streamText({ model: transformersJS('HuggingFaceTB/SmolLM2-360M-Instruct'), prompt: 'Hello, how are you', }); for await (const chunk of result.textStream) { console.log(chunk); } This example shows how to use @browser-ai/transformers-js with the AI SDK to stream text using a Huggingface model identifier.

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