It’s the exact same use case as launching the old roadster into solar orbit near Mars. It’s sheer audacity. It is an example of what we can do, and more than that, what we can _afford_ to do. It is youthful exuberance and power in full display. It is a message to the rest of the world: “You can’t catch us.” Cue: We are the champions.

This is just so strange. I'm talking to grokbot on my ipad, while it manipulates files on my mac, trying to adjust a voice/video sync problem induced by my use of a bluetooth microphone. The two of "us" are debugging the idiosyncrasies of Camtasia to get it to work. I mean, It's like talking to a very capable and thoughtful assistant. Wierd.

I'm using grokbot to help with video editing. It's a game changer. I upload the clips. It listens to them, sorts them, compares them to the script, let's me know of any irregularities, and then places them in the Camtasia timeline for me. And -- well -- shooting scenes in the Cybertruck is a breeze. The car drives while I record. Yikes, this crazy world is getting turned completely upside down.

Yes. AI agents work best with clean code. That is a given. Either you know how to do it, or you will suffer (and pay way way more tokens than you should for suboptimal results, and you will think it's a matter of changing LLMs) Full explanation on Clean Code for AI:

English is the new programming language. So what’s still worth learning? Vocabulary. Architectures Design patterns Refactoring techniques Security protocols Performance optimizations UI/UX patterns The greater my technical vocabulary, the more precise my prompt.

Like it or not, modern sw engineering is no longer done without LLMs (AI) and will no longer be done without. Whoever doesn’t want to use AI, no problem: but you won’t be hired at 99.9% of startups+Big Tech+ambitious companies, even today It’s as part of sw dev as the keyboard

Airbnb is dead. Well it’s not dead but it’s going to be dying soon. The Bear case for Airbnb. I’ve been bullish on Airbnb as a company for many years. But my outlook on the business changed this week. Let me tell you why. In 2012 I purchased my first Airbnb property. Over the years that one property has turned into a portfolio of high-end Airbnb’s that generates almost $1M a month in rental income. Using ai agents for the first time this week has completely changed my outlook on the company. Airbnb is facing an existential threat that most of the market is completely missing. With Airbnb pushing its mandatory host-side commission to 15.5%, the middleman tax has never been higher. Enter AI agents. (Hark, Dot, Muse, Grok Bot, etc) Right now, booking a vacation rental requires navigating a siloed app and paying heavy platform tolls. But your AI agent won't care about Airbnb's brand wall. When you know the property you want to book and you ask it “what’s the cheapest way to book the property” it will query property management system APIs directly, find the exact same home, and execute a direct booking that saves everyone 15%. Airbnb's entire model relies on holding supply captive behind a closed interface. When AI agents can autonomously search, verify reviews, negotiate terms, and book direct with property operators, that walled garden turns into a leaking pipe. The middleman tax's days are numbered. I’m predicting that Airbnb’s growth rate will slow down significantly in the next 24 to 36 months. And within 5 years they will be seeing negative growth. The same can be said for most other online marketplaces that don’t have unique inventory that can only be booked directly on their platform and nowhere else.

I love ElectroBoom, and this one is as funny as ever. But he's wrong in his conclusion. The solution is not to slow down AI, it is to speed up the development of the disciplines with which we use it.

I keep wanting to add new features to my bookwriter and scriptwriter. I start planning that feature. And then I realize that I don't need it because I can just instruct an agent to change the files. A lot of the features we used to add to projects was to eliminate the hassle of manipulating the underlying files ourselves. Now we can have agents do that rather than implementing feature on top of feature on top of feature.