Also worth thinking a about the private equity market scene, groq was afaik tradable be it thinn liquidity on platforms like equityzen. What did those shareholders get?
I have generally had strong vision in my career but this year due to external forces at play at work I have been much more reactive to the chaos and generally felt off the whole year, this was a nice mental model to step through, liked the visualization.
This is akin to using AI as a 'second brain', just getting started with Obsidian, my main challenge is loading it up with every communication trace I have...but haven't given up.
What are the paradigms people are using to use AI in helping generate better specs and then converting those specs to code and test cases? The Kiro IDE from Amazon I felt was a step in the direction of applying AI across the entire SDLC
We use them internally. Works well but its not a replacement for a business requirement specification, however, it can help in the creation of a (better) one with greater buy-in from all stakeholders
What's happening with synthetic fuels? I read while back Porsche investing in factories to produce but that was a few years ago, is it a bit of snake oil wrt to it's alleged green credentials or simply can't scale at an acceptable cost?
The World Endurance Championship has been using synthetic fuels since 2022 from TotalEnergies (https://competition.totalenergies.com/en/auto/endurance/wec/...), there's also Sustain (https://sustain-fuels.com/) in the UK as well who seem to be growing reasonably well but are a mix of sustainable & fossil fuels. There's some variability of how green they are, you still need to burn something so there's going to be emissions as well but they've been validated in the motorsport labs as being viable and they're starting to make their way to consumers.
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