Great name, but ironically hard to reason about from a role perspective, at least at the read me.
Does this interfere with cache hits?
Could a single conversation or task span multiple roles?
Why are you building this? Does this maximize my toxen value by saving the hard tasks for the hard model? Does it maximize cache hits as part of its scoring? Does it help agents develop a specialist mindset? Are you anticipating users will have many local models hot, or is this also a model load/unload controller?
Your thesis is likely correct on consolidation and cloud tie-in. Your pipeline model is also intriguing. I like the direction and would like to chat more about the registry or how the ghost gets interconnected.
Hyperion is the only other one that I know of that creates covers for folders. You can swipe up on the icon to reveal a folder with related apps (but still show the primary app icon instead of 4 little ones).
Same issue with most mini/slim scripts that mod your win 11 iso. Be sure to keep gaming services and Xbox from install.
Once it does its first update it will try and put back what you remove. And when you make a non-admin local account it will try again. Best to use a post-install script you can run often to keep settings off.
From the article, Odd Fellows are co-ed. Unitarian Universalist for more open but still religious. YMCA for more modern but slightly religious. All 3, probably a library.
Are you absolutely sure you believe there is no sixth dimensional force that existed before the big bang, or semi conscious entity keeping track of and or influencing the parameters of each multiverse?
Given the group and it's members are excommunicated by many Christians, it might be true that a lot of their baggage doesn't apply.
I'm curious if AGI will raise or lower guards related to spirituality.
Basically what I'm describing is "backtesting" from stock trading space, where a trader comes up with a hypothesis on what will come in the future. Then they retry that scenario in slices where the same conditions happened in the past and see how it would have played out. Importantly, the "algo" sees in real time based on when you start it, so it can not cheat. It makes it easy to see whether or not your intuition is based on actual data.
I kinda feels like you are using the LLM to assign "weights" or important properties of an algo and then directly translating the basic arithmetic accounting of those factors into a prediction. What I expect is that the LLM would also be used to read all past news to find similar patterns and then create time slices where its weights could be tested against a control. It can then backtest its own weights to better tune what factors really led to an outcome and expose this refinement as part of the prediction.
I was hoping for a tool that would reference "all" news, mainly historical news, and give some reasoning based on past patterns. My query on Kamala does not seem to factor in the news from just before the last Trump win over Hillary and how that time period contributed to a surprise win. It also doesn't seem to incorporate Regan, or past high inflation periods and how those news stories influenced the elections of the time.
It seems like this is a tool that "if you could read all the news of today, what would your gut tell you", and that is helpful but not thorough.
For example, can you apply the cureent reasoning to news articles from previous time periods and use the prediction on a past result. Would your prediction be accurate? If no, maybe re-reason.
Tally Ho was built very similar to this animation, it's a great YouTube series that just passed 200 episodes. The care, quality, engineering, and process that goes into each step is lost on the 3D animation. You really need to see the chisel work and the lines drawn to get how it all works. Highly recommend watching all 7 years!
https://www.youtube.com/channel/UCg-_lYeV8hBnDSay7nmphUA
Does HN anticipate 'run for fun' becomes 'work for good'? In that the idea of putting yourself through physical and mental toil; investing in time, tools, gear, travel; effectively making a lifestyle around the personal development that comes from running will also happen to work.
Feels to me like many anticipate the possibility of a welfare state created by AI job loss will push people to scale back their financial needs to be able to fill their time with meaning. Will all work start to look like NGOs (modest compensation, local impact, ethical alignment, ala 'barn-raising')?
I wish you addressed your original hypothesis with concrete examples (is this fair, does being early matter, is it clear)
Eg, you gave equity to early contributors, how much and what did that translate to? If those same people work as freelance now, are they paid the same relative equity? Same class?
How long would someone allocating to equity need to work before they see the equivalent in dividends? Calculator seems like 25 years. Or working as more or less full time for 12 years with a 50% split.
For me by the end I was left with more questions than answers, so I side with mom, but I like the general idea of https://flexile.com/