Whatever good he did with his early advocacy for electric vehicles has now been undone a hundred times over with his advocacy for the people who hate EVs and all the other things we need.
And we ended up with a lot of PRs that individually perhaps could have been justified for a hot moment, taken all together, destroyed the architecture of the system. And we actually had to clean up manually, mop it up by hand, by human hand, to get back to an architecture that felt cohesive and coherent.
If you look at those things, they're kind of just bad programming practices. I I don't really know how else to say them. They don't mesh well when you put them together.
Clean Code is another standard recommendation, but that one wasn't for me. There are useful design principles in there worth studying, but the book as a whole is too narrow and a bit too dogmatic for my taste. Your mileage might vary.
And these days it's more like my sessions are topics. clearing the session sometimes even a disadvantage because there's so much information in there that helps the agent.
Carlson, author of the aptly named blog A Wealth of Common Sense, brings a similar approach to this book. While much of it might seem familiar to sophisticated readers, Carlson's clean and clear use of data — both in charts and text — makes basic points memorable.
You look under the underneath though at the code and it was just a horrible unmaintainable mess. But the fact that people could program the programs that they wanted was a a significant step forward as opposed to I'm going to write a thousandpage requirements document and then wait 8 years and not get what I want which was the alternative that we were offering at the at the time.
Nobody knows now. That playbook has been wiped clean and people whose identity is I know the playbook are now terrified. Who who am I? Now, it turns out that the skill of writing a playbook is completely different than the skill of applying a playbook.
It is a luxury to be able to afford to go slow because when you're really, really busy, you need an admin because you can't afford to book your own tickets. When you're really busy, you cannot afford to clean your own house.
We are about to see the Great Clean Energy Acceleration 2.0 - a discontinuity in energy markets as profound as the oil shocks of the 1970s, and one that could bring forward the peak in fossil fuel use and emissions to this side of 2030.
The the biggest advantage to in DevTools is the fact that everyone working at DevTools is a programmer and programmers are horrible at B2C products. They don't realize DevTools are B2C products.
one of the magic tricks about these things is that they they're incredibly consistent. If you've got a code base with a bunch of patterns in, they will follow those patterns almost to a T.
but I think he can build the uh clean room. It'll take a year or two. Maybe initially it won't be super fast, but then over time you'll get faster and faster at it. But then the really complex part is actually developing the process technology and building wafers. And I don't think he can develop that uh quickly. I think that has a lot of built-up knowledge.
I think that there will be lots of work for us cleaning up after the slop, but if you know what you're doing AI augmented development is going to get you some amazing results
When you lose a game now as opposed to surfacing your blunders and your like horrible stuff that you did, we flip it on its head. And so we show you your brilliant moves, your best moves. And we have coach say something encouraging. You know, losing just part of learning like keep it up, that type of thing. That change alone was pretty dramatic for us. It grew game reviews by 25%, subscriptions by 20%
The panel had a generally positive view of Braintrust, highlighting its clean UI and structured approach to evaluations. The tool’s emphasis on human-in-the-loop workflows was a significant strength.
And when he conquered a city, he always made sure there are plenty of refugees to go to the next city because it's going to weaken them. It's going to weaken their food supply, and they're going to terrorize the people with tales of the millions of people that the Mongols killed with their steel chisel teeth and eating children and all kinds of horrible tales. Genghis Khan encouraged it.
But my point is that this is still not the reason (or is only a very small reason) why these goods from China are cheaper than elsewhere. The main driver of lower labour costs has been automation; not having a human worker at all.
That’s because most clean energy jobs are in deployment and maintenance rather than manufacturing, and since higher costs slow down the rollout of renewables, increasing prices reduces the total number of people working in clean energy (even if the number working in manufacturing increases).
CCS can never be competitive in the sense of working economically in the absence of a policy framework to price in the cost of carbon, unlike clean electricity.
But there’s an instrumentalist view here, you have to first decide what your goals are and then science can help you achieve those goals. If your goals are horrible, science has no problem helping you achieve them, science is happy to help out.
The primary driver of increased impact, longer time scales before displacement, and catastrophically high levels of avoidable pollution is environmental protection regulations.
The terrorist attacks on 9/11 killed 2996 people in a day of singular horror. Our ongoing indifference to regulatory inefficiency, considering only the area of green energy development, kills more people every year – more than 10 people per day, and that’s only within the US.
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