There is a massive AI overhang today. The term is analogous to snow overhang. When snow slides down a roof, sometimes a section goes over the edge and is seemingly supported by nothing. You know it will eventually fall; the tension is in the air. It's a question of time. I have the same feeling with applying AI
There's a now-famous classification of different levels of self-driving: * Level 0: No automation * Level 1: Driver assistance * Level 2: Partial automation * Level 3: Conditional automation (human fallback always available) * Level 4: High automation (can safely pull over) * Level 5: Full automation The full definition is more detailed but I won't replicate it here. Now
Probably 80% of (mainstream, non-ML) Twitter is excited about the potential of GPT and ChatGPT. The other 20% is skeptical. Few are indifferent. But both the optimists and pessimists seem to focus on the obvious set of use cases: text generation and chatbots. That is a failure of imagination. Text is just an interface to those models, and chat
I've built around 10 prototypes with GPT over the past couple weeks and it's surprisingly fun. Why is that? Obviously it's a shiny new toy. Whenever I discover a new tech capability, I get excited. I recall discovering D3.js, Bokeh, Keras... These appeal to the Technology enthusiast in me. But there's
I hacked a bit on an AI experiment: idea generator. In general, working on these AI apps makes you think a lot about the work process and unique value add of Knowledge workers in general, and myself specifically. How predictable is it? Which parts are easy to automate; which are easy to assist? How much Context -- and what exactly -- does
NFTPort sells tools in web3. I've heard people say that this is a smart approach in a volatile market, because selling shovels in a gold rush is safer than looking for gold yourself. That seems wrong. Sure, during the rush your revenue is more stable, but you still depend on that market's macro cycle. Once the
This is a talk I gave in Lisbon in October 2022, at IPFS camp. What makes it somewhat special: I generated all the illustrations for this deck using DALL-E as an experiment. It actually is a decent way of making pretty slides; I think with a better UI this would be a major improvement in my slide-making workflow.
This is a short NFTPort workshop I recorded for the ETHGlobal NY hackathon. I was actually in New York around that time but sadly had to fly out before the in-person event itself took place. Recommended over the last one because this is pre-recorded and heavily edited, so much more information-dense.
Today, we announce a $26M fundraise with NFTPort. You may be surprised. This wouldn't make much sense if NFTs were only about buying and selling images of apes. Art and profile pictures may fetch high prices when sold as NFTs, but it feels like those things lack some tangible "real world" value that e.g. a
DALL-E 2 and Imagen are the hot new models everyone is sharing: the eye candy is undeniable. But since the original release of the GPT-3 large language model, OpenAI has quietly released the GPT API and playground for anyone to try. Here's a collection of my experiments with the most recent version of the model, text-
