Product Hunt prompted me to check out UnPrompt this weekend. It's a simple tool for reverse-searching prompts and parameters for generative art, which works with both text prompts and image uploads. "Like a lot of folks, I was totally blown away by the capabilities of generative art. There was so much new stuff to try and see, if you don't stay up to date you immediately fall behind. I found it difficult and time consuming to test tiny tweaks to a prompt, just to find what I wanted. At the same time, I was certain someone else in the community had done something similar. That's why we built UnPrompt. A fast and free community tool for finding recent prompts."

The latest State of European Tech report highlights that investment in "deep tech" like AI has dropped 13 percent this year. Data from Dealroom was used for the State of European Tech report. Dealroom defines deep tech as 16 fields: Artificial Intelligence, Machine Learning, Big Data, Augmented Reality, Virtual Reality, Drones, Autonomous Driving, Blockchain, Nanotech, Robotics, Internet of Things, 3D Technology, Computer Vision, Connected Devices, Sensors Technology, and Recognition Technology (NLP, image, video, text, speech recognition). In 2019, there was $10.2 billion capital invested in European deep tech. In 2020, that dropped to $8.9 billion: I think it's fair to say that 2020 has been a tough year for most people and businesses.

General purpose artificial intelligence is increasingly becoming a game for Big Tech and Big Government in the US and China, leaving Europe trailing in the dust. But AI is also a game for nimble startups that can creatively apply the technology to particular business niches, giving Europe a chance to flourish. Those are two of the main takeaways from the third annual 176-slide State of AI report, written by Nathan Benaich and Ian Hogarth, two of the most active angel investors in the UK in AI startups. They also highlight the investment momentum that is building behind European AI startups in the life sciences and military fields, in particular. One of the most striking features of AI research, as shown in the report, is how it is being driven by huge amounts of capital, data and computing power, meaning that only the biggest players can lead in many fields.