sellers and agents are incentivized not to know about climate risk or communicate it. Everyone involved only needs the property to look safe long enough to pass it along
Every decision has a cost in terms as we've seen the brain having to put in invest fuel to make that decision. So if you're having to do that every time you make a decision, that can seem very burdensome. Whereas if you did it once in a big way where you planned it out for the day or the week, maybe the costs in terms of the activation energy required for the brain is much lower for you if you do that.
Will mining get automated? And if it does, not just the movement of the materials, but every part of mining. Then what is a mining company? It just owns real estate.
But if you're digitizing the physical world, you're treating atoms like bits. And you're like, well, I know that CPU manipulates the bits. What manipulates atoms? That's manufacturing or digitized manufacturing.
I do I do think that I wish that sort of my preferred constitution or like the way I would orient towards this like the thing I would prefer would be more like Claude is like look it would be structurally good for the way this technology work like the constitution should be like it would be structurally good for the way this technology works to be that AIS are like good fiduciaries, good representatives, the equivalent of a lawyer for a user
while we are a lot better at iterating than other fields, we're worse at the planning part. Like we still need to do some kind of planning before we iterate and we just aren't as good as those other fields.
The core tension of engineering is between how expensive it is to make a mistake and how quickly you can iterate. The faster you can iterate, the less planning you need to do before you iterate, and the more expensive it is, the more planning you need to do.
I do the research I do the plan I do the implementation I throw the docs out and the next time I need research I just do it from scratch because tokens are cheap and my time is expensive
According to Harvard Law School, among venturebacked companies that have the standard best practices set up that you got from your lawyer, okay, only 20% of founders are still the CEO 3 years after going public.
My one little bit, the one little bit of of fundamental uncertainty even on long time scales is this thing about tasks that aren't verifiable. Like, planning a mission to Mars, like, uh you know, doing some fundamental scientific discovery like like CRISPR, like, you know, writing a writing a novel. Hard to hard to verify those tasks.
His officers didn't think so. High command said, “No, we're not going to attack the West; we're going to lose.” And Hitler was fanatic about it, he really wanted to attack it. They were planning a coup against him in November 1939 just to prevent him ordering the attack on the West, because it would have been a catastrophe for Germany.
it's something like this that the brain is extremely parallel. uh it kind of has to be just out of just because of the biohysics. U but like it's even more parallel than your GPU.
But once you actually have a sophisticated industrial economy, central planning can't handle the complexity. And so you try and create incentives and structures around that while not having pricing and that just doesn't work.
Consistent with the Kantian hypothesis, reasoning models automatically gain greater autonomy, self-consistency and long-horizon planning ability for free.
Vibe coding can execute instructions, but deciding what the software should do and why is not automated. Product managers and designers must still do user research, market analysis, and creative brainstorming. In that sense, vibe coding changes the implementation phase more than the planning phase of the product lifecycle.
Planning, at its core, is a search problem. You search among different paths towards the goal, predict the outcome (reward) of each path, and pick the path with the most promising outcome.
If there are ways that you can help improve the governance of AI in these and other countries, you should be doing it now or in the next few months, not planning for ways to have an impact several years from now.
Overall, while initial plans of LLMs can be useful as a starting point, LLM-based planning currently works best mainly in conjunction with external tools.
Our best explanation is that the UK adopted what we call the globalized system of procurement, privatizing planning functions to consultants and privatizing risk to contractors, which creates more conflict; the UK also has an unusually high soft cost factor.
In the end, the only point of any personal productivity system, goal-setting technique or "life planning" exercise is to help you make a slightly better decision about what to do, right now
If you're considering raising institutional funding for your startup, then this is a key book to read to understand the fundamentals of the legal documents and terms. It came recommended by a number of fellow entrepreneurs and it didn't disappoint. I haven't raised money yet myself so I may change this score up or down significantly once I have that first hand experience.
It's a decent coverage of the concepts of planning how to delight your customers from your product's design to how you support and serve them. However, it felt a bit like a poor man's Thank You Economy, with less novel ideas and some filler.
Audioengine A2+ Speakers - Powered desktop speakers. I previously owned the A5+, but they took up way too much desk real estate. I also have them sitting on the DS1 Desktop Speaker Stands to isolate the speakers and reduce vibration.
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