The latest in Computing Science education across Scotland and beyond
A case study in the disruptive force of AI to traditional industries. Will they respond as have previous industries in the past have responded to technology wrought change -- with lawyers and intimidation? Or will they adapt and seize new opportunities never before imaginable? How do issues of creativity and copyright fit in?
GPT-4 as most people use it has an 8K token limit. Some already have access to a version with a 32K limit, however, and are reporting hugely different opportunities in terms of what it GPT can do, based on how much more text it can take in and output at once.
For the last 3 weeks, AutoGPT has massively captured the attention of the AI community. But how useful is it really? Some are starting to ask whether it really lives up to the hype. Watch the original video: https://www.youtube.com/@TheAIBreakdown
Stability AI announced StableLM this week and open source AI advocates are over the moon. On this episode of The AI Breakdown, NLW looks at what StableLM is, how it compares to GPT, and then asks both ChatGPT and StableLM what they "think" about whether AI should be open source.
We're seeing more and more instances of industries, companies and individuals fighting back against their data and IP being used to train AI. On this episode, we look at Elon threatening to sue Microsoft, Reddit changing their terms for AI companies, and the music industry loosing their ever-loving mind about a viral AI produced track featuring the synthetic voices of Drake and The Weeknd. Subscibe to our YouTube: https://www.youtube.com/@TheAIBreakdown
We've had many examples of text-to-image but fewer AI models that can interpret images. MiniGPT-4 is a new open source model that can look at an image of food and give you the recipe, look at a white board mockup of a website and give you the code, look at a picture of a person and their dog at sunset and write a poem. Subscribe to the YouTube channel here: https://www.youtube.com/@TheAIBreakdown
Some argue that open source AI is the key to making AI's benefits to the entire world, as well as making AI safer. Others think that open source can multiply risks. With a slate of new projects being announced this week, the conversation is heating up. Discussed in this episode: Elon Musk's planned TruthGPT Dolly 2.0, an open source LLM based on the EleutherAI pythia model built by Databricks RedPajama, an open source proxy of Facebook/Meta's LLaMA, from Together MiniGPT, an open source AI model
Google is working on a top secret search update called "Magi." Amazon announced Bedrock last week. This episode covers the AI strategies of Google, Amazon, Microsoft, Meta, Adobe, and Apple.
There's no denying AutoGPT represents an incredible advance in AI, but does it create new risk we should be paying more attention to?
AutoGPT is lighting up the developer and AI community. Here are five uses happening right now: Starting a businesses Building a web application Task list that does itself Creating podcast content Autonomous AI agent generator
Less than a week old, AutoGPT has exploded onto the scene. AutoGPTs are AIs that, once assigned a task, figure out how to complete that task, including generating other AIs. They have access to the internet, longer term memory, and thus can be used in much different ways. In just a week, AutoGPTs have become the most active GitHub repositories.
That's the question the Biden Administration is asking American citizens to comment on. WSJ and others reported today that the Administration is nervous about AI being used for crime and disinformation, and so is collecting public comments on the idea of having an FDA-like body to review and approve AI tools.