rbliss
Joined 12 years ago
Joined 12 years ago
I throw it all together into a multi-agent team doing fact and source gathering, network tracking, location processing, and coverage analysis. Basically industrializing the research and creation of genealogical profiles of ancestors.
Wild times.
To quote: “We are coordinating across 30+ organizations to get water back to the lake. The immediate goal: 500,000 acre-feet of annual water savings by 2027.
- Acquire and retire U.S. Magnesium water rights — 80,000 acre-feet annually
- Aggressively remove invasive phragmites consuming 100,000+ acre-feet per year
- Restore Newfoundland Basin — 30,000 acre-feet
- Partner with agricultural water users through split-season leasing and crop optimization
- Expand secondary water metering for accountability and conservation
- Purchase and lease water rights to permanently return water to the lake
- Refine policy tools to make leasing, delivery, and conservation easier”
Seems to be associated with an all star group of Utah philanthropists. Not seeing what the angle would be other than restoring the lake.
The challenge is that the competitive and economic pressures make this moot.
A person, entering the field via AI driven development, will have none of the qualms about skill, seniority, understanding the codebase, or craftsmanship. Those arguments are handwringing by the previous generation of engineers. Their focus is solely on the outcome and value produced from the input prompt. That aligns closer to how businesses see their codebase: something they have to prompt their engineers to produce in order to generate business value.
Similarly, new AI driven companies focused on delivering value at speed and lower costs will have none of the baggage of the legacy code companies with engineers stuck debating these questions. These new gen companies will be focused on delivering value, doing so at quicker speeds and lower costs, raising the level of competition for existing incumbents.
Will existing businesses be willing to spend money to purchase services from these new gen companies of AI developed products? Seems like it.
There are real problems with these AI developed codebases. They tend to collect baggage and start to feel like a house of cards. A big open question is whether AI models will continue to improve in order to patch all the vibe-holes being generated. Seems like they will improve.
I need a tool to put them in a loop together to get this done more efficiently…I guess I’ll plug this in as a prompt and go from there!
His point is that it's impossible to manufacture much of anything in California if you aren't grandfathered in. Seems pretty important for economic and security issues.
The electric induction cooktop he and his team has made is pretty cool! I'd check it out.
Solar, while certainly not ideal, is comparatively trivial to build out. Functionally you buy and lay out cheap panels. Far smaller political challenges. Some friction around land use and interconnect, but compared to nuclear, orders of magnitude easier and the way forward seems clear with the existing political realities and economies of scale in action for solar panels.
You can effectively short circuit the existing fossil fuel industry and pull the hydrocarbons from the air instead of the ground to stay carbon neutral. No need to re-invent industry.
Highly recommend checking out more articles on the Terraform Industries blog and Casey's personal blog.
Look at all the podcasts, think pieces, news segments (like this article) that have been generated. Endless hand wringing by pundits, pearl clutching by opinion thinkers, ultimately with focus on OpenAI and how powerful their models are.