Wednesday, June 26, 2024

VW => $5B => Rivian

 Rivian: Volkswagen takes $1 billion stake in EV maker

Volkswagen Group plans to invest up to $5 billion in electric vehicle startup Rivian,
starting with an initial investment of $1 billion.

Shares of Rivian soared more than 50% during after-hours trading



R. J. Scaringe - Wikipedia Rivian founder and CEO

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AI chat web sites / apps

The best AI chatbots of 2024: ChatGPT, Copilot and worthy alternatives | ZDNET

13 Best AI Chatbots in 2024: ChatGPT, Gemini & More Tested


Perplexity.ai


Claude,ai










HuggingChat app : GitHub - huggingface/chat-ui: Open source codebase powering the HuggingChat app

A chat interface using open source models, eg OpenAssistant or Llama.
It is a SvelteKit app and it powers the HuggingChat app on hf.co/chat.



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Eliza + OpenAI chatbot

1960s chatbot ELIZA beat OpenAI’s GPT-3.5 in a recent Turing test study | Ars Technica

Eliza, Computer Therapist

ELIZA is a computer program that emulates a Rogerian psychotherapist. Just type your questions and concerns and hit return. Eliza will answer you.

When the original ELIZA first appeared in the 60's, some people actually mistook her for human. The illusion of intelligence works best, however, if you limit your conversation to talking about yourself and your life.


miguelgrinberg/Eliza-GPT: The classic chatbot from the 1960s running on OpenAI's Chat Completions API. @ GitHub, Python, no license

Eliza, the classic chatbot from the 1960s, running on OpenAI's Chat Completions API.

Eliza-GPT: The Classic ELIZA Chatbot Running On OpenAI's Chat Completions API - miguelgrinberg.com


related examples

eliza-chatbot · GitHub Topics GitHub topics search, can select language


IUseDebianBtw/Neo-ELIZA: Neo-ELIZA is a modern implementation of Eliza as Chatgpt 
@GitHub, python, GPL3 


rafazv/i2a2-eliza: This is a repo for the Eliza challenge of i2a2 course 
@GitHub, node.js + openai, no license 
"Dr. Eliza - Chatbot"



In the early 1960s, the well-known early artificial intelligence (AI) program ELIZA made a big impact after showing its ability to process input and produce output expressed in natural language. ELIZA was one of the first conversational agents in AI, designed to simulate intelligent conversations, also known as chatbots. Developed by Joseph Weizenbaum at MIT, ELIZA had several modules to interact in English, German, and Welsh, and different modes of operation. The most famous was a module that simulated the interaction with a Rogerian psychotherapist

cs124 @GitHub (CS class, Canada?)

"Building a future where AI improves and advances society"



Smalltalk (Pharo) implementation of ELIZA, an early natural language processing computer program created from 1964 to 1966 at the MIT Artificial Intelligence Laboratory by Joseph Weizenbaum.

This implementation is based on this Python implementation and elizabot.js (for the welcome messages). There are similar implementations for Go and Swift.


The History and Mystery Of Eliza With Jeff Shrager - CoRecursive Podcast

ELIZAGEN - Original ELIZA
Most people who know anything about Joseph Weizenbaum's ELIZA at the level of the program code think that it was written in Lisp and that it has been floating around since the publication of Weizenbaum's 1966 CACM paper. However, surprisingly, the ELIZA program itself was never published, and it wasn't written in Lisp, but in a now-obscure language called MAD-SLIP running on an IBM 7094 computer at MIT. Until now, the ELIZA source code has been missing, presumed by many to be lost, and because many alternate versions have been created over the years, the original source code remained undiscovered.

ELIZA is an early natural language processing computer program developed from 1964 to 1967[1] at MIT by Joseph Weizenbaum.[2][3] Created to explore communication between humans and machines, ELIZA simulated conversation by using a pattern matching and substitution methodology that gave users an illusion of understanding on the part of the program, but had no representation that could be considered really understanding what was being said by either party



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