I'm unlocking savings (in both speed and costs) but using a different way of thinking by integrating Decision models:
In short, LLMs spend so many turns on discovery, triage, and safety checks for everyday tasks. A decision model cuts those turns by preparing the relevant context before the prompt and handling the simple judgments itself, so the LLM only does the real work.
I don't mean to be super negative, but I read through this all the way and still have no idea what it does or how it works. I think the problem statement needs to be outlined much better, and concrete examples of turns with/without your solution would be helpful to illustrate the difference.
A few thoughts:
I support AI acceleration to reach abundance and then and only then start regulating it, not before that.
Regulating early means just delaying abundance by 5 to 10 more years or maybe more.
I don't like to build something that will become useless due to AI after a few years. Let it advance to ASI (no need to release publicly) and then let everybody think about making it safe and aligned, then release.
How do you think that AI will create "abundance?" Are you thinking that it will somehow magically come up with solutions to climate change, war, corruption, the wealth gap, or any of the other ills that keep the majority of humanity scrambling to survive? Or do you just mean abundance for stockholders?
I believe that because AI is learning human experiences, it will help with verifiable work.
Anything that can have outcomes or metrics well defined as true success criteria will enable AI to be able to help easier than other tasks (like writing).
The easier the outcomes or metrics definition needed for success in a field, the better and faster we will see AI help in those fields.
Very little ‘magic’ seems necessary for those, rather a little less human-in-the-loop team sports with our future, and a little more feedback loop science.
Self-selected ignorance and scrambling seem both correlated and causative.
That said, SOTA machines can't run an office snack bar yet, so it'll be a minute before abundances other than caution.
Genuine question, because "abundance" is meaningless unless you qualify what you mean.
You're saying that we ask the ASI for "abundance" and everyone gets a mansion in silicon valley and doesn't need to work unless they want to? That doesn't seem like a realistic thing to be thinking about.
What if under the no-pause scenario within a couple of years we get cures for N diseases each one of which affects tens or hundreds of millions of people every year - how many years would you wait and keep your hand on the pause button?
I could easily give you that title. Or maybe you can even do that yourself.
Lots of new companies are either faked, or amplified.
Example:
If I made a sale of $100 this hour, it can become $864K ARR, with amplification (100 x 24 x 30 x 12).
What to do?
Focus on your job and forget everybody else. Don't ever judge progress by revenue alone. A low revenue company who invents something in energy could be worth all companies exist today. But you never hear about it, because it is the real stuff.
Its fking frustrating and exhausting when you spend 8 months to build something genuinely good and not another AI wrapper and can't get money out of it and teach ai to survive. It sucks man
Yes, why working on something that "may" be beneficial in the far future?
This is like inventing a 128-bit CPU architecture. Nobody would be able to utilize like even 1% of that, even with AI.
I'm not sure what performance improvements you're expecting with cell phone generations but most of it's pretty incremental. I don't think 7G is going to be even twice as fast as 5G on the same frequencies. It should be more stable, maybe millimeter wave will get deployed more, but it won't be wasted at all, lots of towers are going to be running at 100% utilization.
Research on 5G started ~2012 to be deployed since 2019 (7 years), research on 4G started maybe around 2000 for rollout in 2009 (9 years later). For 6G, research started around 2018 for an expected rollout around 2030 (12 years). These timelines are pretty typical in the telecom field.
