#ai
Many cities are implementing dystopian surveillance to tackle crime. But, as Russia has shown since the Ukraine war, surveillance is an irresistible tool when the going gets tough.
Information used to be expensive to distribute. Even in the age of the printing press, the distribution of information (i.e., printing and delivering newspapers) remained more expensive than producing it (i.e., paying a writer or journalist). This meant that newspaper businesses weren’t in the business of creating content, but rather manufacturing and delivering it. Content was cheap (most people can capture their opinions on paper), getting it out there was very expensive.
What is fascinating about this is the way the author got ChatGPT to respond with parseable JSON, essentially turning ChatGPT into an interface for any API.
This speculation, based on the history of salaries for lawyers, suggests that some software engineers will make a lot more, while others will make much less. This is because great, experienced programmers will be able to get a lot done with a crew of vocational programmers who can use LLMs for assistance.
Dan Shipper is using GPT as a journal and therapist. This is a very interesting explanation of how, with examples.
Startup leaders want to integrate AI into their products. Prospective founders want to build businesses on top of AI. Investors wish to create alpha. Today, we explore how startups can capture value when deploying AI.
Over the past few weeks I’ve drafted HR policies, legal agreements, LOIs, cybersecurity policies, and other documents using ChatGPT. It’s incredible how useful these are with minimal editing.
The AI legal assistant has helped people contest parking tickets, now it’s leveling up to the courtroom.
Jesse used ChatGPT to help him to write a Dungeons and Dragons campaign.
A great overview of how unsupervision could enable AI to learn and adapt in real-time, without being limited by training data.
This Twitter user used ChatGPT to negotiate a better plan with Comcast over their live chat support.
Lex successfully used ChatGPT to dispute a parking fine.
Cloud computing enabled the mobile revolution because when devices like the iPhone first launched, mobile hardware was not capable of doing much on device. By delegating complex work to the cloud, developers were able to be much more ambitious with their mobile apps.
Many GPT early adopters have noted that GPT seems to be a more useful search engine than Google for many types of queries.
Very imaginative ruminations on the future of AI. The articulation of our future super powers is particularly interesting.
This is an article I wrote for the Faster Times blog. With all of the hype around generative AI, especially ChatGPT, I decided to try to write it with the help of AI. Ultimately, I failed for a few reasons.
This Hacker News user is demonstrating how easily you can find people’s anonymous accounts by comparing writing styles.
The team behind this study has managed to reconstruct the images a person is looking at, using non-invasive brain recordings. Bridging the gap between electronic and biological computers could be highly impactful.
Some in the open source software community are unhappy with GitHub Co-pilot, an AI tool for developers, training their models on open source code.
This technology is a big deal. This is a great six-part series explaining how it all works.
AI innovation over the past decade has been focused on content recommendation/curation/moderation. Most of the value of this innovation has been captured by incumbents like Google, Meta, and Amazon. This is because this technology favoured players who were already serving a lot of content to a lot of people, could afford the costs of running these models, and the overall impact on technology here was only incremental.
Over the past two decades we’ve been making the worlds information more machine-readable by reformatting this data into APIs, open standards, and standardised file formats. It seems machines are going to be able to parse human-friendly (and historically machine-unfriendly) data much quicker than we can finish this transformation.
A great interview on China Talk regarding AI and war. This took place before the technology export controls recently announced by the US government.
A few months ago we were in awe at DALL-E, now video and three-dimensional projects are already launching. What an exciting space.