book: ChatGPT and the Future of AI

 ChatGPT and the Future of AI: The Deep Language Revolution: Sejnowski, Terrence J.: 9780262049252: Amazon.com: Books

An insightful exploration of Chat GPT and other advanced AI systems—how we got here, where we’re headed, and what it all means for how we interact with the world.

In ChatGPT and the Future of AI, the sequel to The Deep Learning Revolution, Terrence Sejnowski offers a nuanced exploration of large language models (LLMs) like ChatGPT and what their future holds. How should we go about understanding LLMs? Do these language models truly understand what they are saying? Or is it possible that what appears to be intelligence in LLMs may be a mirror that merely reflects the intelligence of the interviewer? In this book, Sejnowski, a pioneer in computational approaches to understanding brain function, answers all our urgent questions about this astonishing new technology.

interview with the author

Dr. Terry Sejnowski: How to Improve at Learning Using Neuroscience & AI - Huberman Lab

Terry Sejnowski - Wikipedia

Terrence Joseph Sejnowski (US: /ˌseɪˈnɒvskɪ/; born 13 August 1947) is the Francis Crick Professor at the Salk Institute for Biological Studies where he directs the Computational Neurobiology Laboratory and is the director of the Crick-Jacobs center for theoretical and computational biology. He has performed pioneering research in neural networks and computational neuroscience.

With Barbara Oakley, he co-created and taught Learning How To Learn: Powerful mental tools to help you master tough subjects, the world's most popular online course,[5] available on Coursera

Books

The Computational Brain, 25th Anniversary Edition (Computational Neuroscience Series)
Learning How to Learn: How to Succeed in School Without Spending All Your Time Studying; A Guide for Kids and Teens
ChatGPT and the Future of AI: The Deep Language Revolution
Free Agents: How Evolution Gave Us Free Will
Determined: A Science of Life without Free Will
The Dreaming Brain

Other Resources

AlphaGo
Learning How to Learn (free course)

Sunset at Salk Institute
Coursera
Claude
Gemini
Learn About

TypeSpec vs OpenAPI

Very clever: Using TypeScript inspired language  for describing APIs. From Microsoft.

 typespec.io

Describe your data up front and generate schemas, API specifications, client / server code, docs, and more.

API-First for developers

With TypeSpec, remove the handwritten files that slow you down,
and generate standards-compliant API schemas in seconds.

import "@typespec/http";

using TypeSpec.Http;

model Store {

name: string;

address: Address;

}

model Address {

street: string;

city: string;

}

@route("/stores")

interface Stores {

list(@query filter: string): Store[];

read(@path id: Store): Store;

}

---

openapi: 3.0.0

info:

title: (title)

version: 0.0.0

tags: []

paths:

/stores:

get:

operationId: Stores_list

parameters:

- name: filter

in: query

required: true

schema:

type: string

responses:

'200':

description: The request has succeeded.

content:

application/json:

schema:

type: array

items:

$ref: '#/components/schemas/Store'

/stores/{id}:

get:

operationId: Stores_read

parameters:

- name: id

in: path

required: true

schema:

$ref: '#/components/schemas/Store'

responses:

'200':

description: The request has succeeded.

content:

application/json:

schema:

$ref: '#/components/schemas/Store'

components:

schemas:

Address:

type: object

required:

- street

- city

properties:

street:

type: string

city:

type: string

Store:

type: object

required:

- name

- address

properties:

name:

type: string

address:

$ref: '#/components/schemas/Address'