An Interview with Nvidia CEO Jensen Huang About AI’s iPhone Moment
An interview with Nvidia CEO Jensen Huang about the impact of ChatGPT, Nvidia’s new cloud service, and how Nvidia is adapting to new geopolitical and competitive realities.
The latest blog posts to take off on Hacker News. 3,092 posts.
An interview with Nvidia CEO Jensen Huang about the impact of ChatGPT, Nvidia’s new cloud service, and how Nvidia is adapting to new geopolitical and competitive realities.
Is software done now? Processing the the ChatGPT Plugins announcement.
Wolfram plugin gives computationally accurate answers to ChatGPT queries using Wolfram's data knowledgebase and language. Custom visualizations are given as well. Stephen Wolfram explains how it works.
It took me a few minutes to create a fake me giving a fake lecture.
Generative Pre-trained Transformer models (GPTs) are now all the rage and have inspired op-eds being written by everyone from Henry Kissinger (WSJ) to Noam Chomsky (NYTimes) in just the last month. That sure is some hype level.
LLMs have become privately-controlled research infrastructure
OpenAI may have tested on the training data. Besides, human benchmarks are meaningless for bots.
I think by now everybody reading this will have seen how the new generation of Large Language Models like ChatGPT are able to produce somewhat useful code. Like any advance in software development—from IDEs to high-level languages—this has generated some discussion on the future employment prospects in our field.
Prompt Engineering, also known as In-Context Prompting, refers to methods for how to communicate with LLM to steer its behavior for desired outcomes without updating the model weights. It is an empirical science and the effect of prompt engineering methods can vary a lot among models, thus requiring heavy…
GPT-4 will change the world.
It shouldn’t be surprising that ChatGPT can play chess.
(In various voices)
Update (July 17, 2026): It’s three years since I wrote this article. It went viral and has been reshared and discussed. And curiously, AI…
There are at least two kinds of catastrophe scenarios, and both are getting more plausible
When the machines make machines, we're in a new world.
Stephen Wolfram explores some of the science, technology and philosophy of what we can expect from AIs. From how ChatGPT works to the cycle of technology, to the concept of progress and preparing for an AI world.
On Saturday 11th March I wrote about how Large language models are having their Stable Diffusion moment. Today is Monday. Let’s look at what’s happened in the past three days. …
Temperature is a parameter used in natural language processing models to increase or decrease the “confidence” a model has in its most likely response.
The open release of the Stable Diffusion image generation model back in August 2022 was a key moment. I wrote how Stable Diffusion is a really big deal at the …
Including OpenAI’s other text generating AI!
See also: Large language models are having their Stable Diffusion moment right now .
Back in 2017 Long Island Ice Tea – known for its undistinguished, barely drinkable sugar-water – changed its name to "Long Blockchain Corp." Its shares surged to a peak of 400% over their pre-announcement price. The company announced no specific integrations with any kind of blockchain, nor has it made any such…
Once you understand a few core concepts, modern chatbots are less mysterious.
ChatGPT is a fancy auto-complete : what it does is finding the most likely continuation of text for the text it has already printed out (or as a reply for the prompt, when it is starting printing stuff out), according to the large corpus of text it has been trained with.
Edit – this post generated a few insightful comments on Hacker News. I’ve also put the code in a notebook for ease of use. Introduction Modern MLOps is complex because it involves too many components. …
Augmenting GPT-3 with tools is a popular technique right now. But is GPT-3 really using them?