6 items tagged “AI”
2025
🔗 Study: Waymo robocars are safer than human drivers (via Daniel Miessler) # An insurance company reported that Waymo has logged 25 mmillion fully autonomous miles and showed a 88% reduction in property damage claims and a 92% reduction in bodily injury claims. In other words, if humans had driven these same miles there would have been 8x as many property damage claims and 13x as many bodily injury claims.
2024
🔗 Vampire game based around AI voice: SUCK UP! (#) This is one of the best examples I’ve seen of games creatively incorporating LLMs. You are a vampire character, you walk up to houses in a neighborhood and as the player you actually talk aloud to your computer and the NPCs talk back. You have to convince these NPCs to let you into their house.
🔗 Jina AI tool for simplifying webpages (#). This is a really handy tool for simplify a webpage before passing it into an LLM. It turns HTML into semi-structured markdown.
🔗 Using LLM to process video (#). I have done a lot of experimenting with passing screenshots into an LLM to give it additional context, but I really want to try passing video directly into the LLM. I believe Gemini is the only one that supports it. This is a summary of Simon Willison’s recent experiment with Gemini for video.
🔗 Automating app development with LLM (#). I keep automating more of my day-to-day programming using various tools, and this guy did a clever wrap around LLM. He writes a unit test in python, passes it to LLM, and it writes the code necessary to get the test to pass. This technique could prove useful for what I want to do with rails development.
🔗 Andressen and Horowitz on AI Robots (#). In this discussion between Andreessen and Horowitz, they pointed out that we are on the verge of embodied AI being a generally useful too. My key takeaway was this:
General purpose robots could do everything from be assistants in your home, build houses, fight wars, etc. This is being made possible by all the software advances in AI in addition to the hardware advances in actuators, batteries, and vision systems.
The U.S. currently leads on the software side of AI, but China has a significant lead on the hardware side. The U.S. has basically made manufacturing illegal in the U.S. through environmental regulation, minimum wage requirements, and unions so U.S. companies have outsourced more advanced hardware to China. Now more than ever, with our strained relationship with China, we need to build these capabilities in the U.S. and at the same time U.S. regulators have their eyes on regulating the software AI capabilities.