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A.I. Stuff

Im up for anything at this point. The more AI I use the more disillusioned I become we're just not where I want it to be in my use as least, yet. I feel like with the paid plans it gets to a point and says, "he's using too many tokens this month throttle exactly what he wants with bs until next month"

looking forward to trying this

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Agree. Things are changing so fast, it's hard to know what is the correct path to take to get actual work done. Every provider trying to lock you into their ecosystem. Doing my best to resist it
 
cashcatz said:
I think the real issue is that Anthropic employers are revolting about working with the Dept. of War. As they should be.
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That is interesting given the below ties
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The U.S. Department of Defense (DOD), through its Chief Digital and Artificial Intelligence Office (CDAO), has awarded Anthropic a two-year prototype other transaction agreement with a $200 million ceiling. As part of the agreement, Anthropic will prototype frontier AI capabilities that advance U.S. national security.

"This award opens a new chapter in Anthropic’s commitment to supporting U.S. national security, which is where our earliest federal deployments began more than a year ago,” said Thiyagu Ramasamy, Anthropic's Head of Public Sector. "We look forward to deepening our collaboration across the Department to solve critical mission challenges through our technical expertise, products like our Claude Gov models and accredited Claude for Enterprise offerings, and leadership in safe and responsible AI.”
 
Will AI replace or just disrupt our industry? IMO we won’t know until we know. Below is a post I ran across today, I think it describes the path AI is on pretty well.

“Trillions of dollars are being spent on data centers right now.

Here's the reason nobody talks about: More compute is still the only reliable path to more capable AI.

Data centers used 460 terawatt hours of electricity in 2024. That number is expected to more than double by 2030. AI is the main reason.

But here's the part that's rarely explained: Nobody fully knows what a bigger model can do until they build it.

Researchers at Google, OpenAI, and Anthropic have all observed the same thing. Scale a model up and capabilities appear that weren't predictable from smaller versions. Reasoning jumps. Coding ability. Multi-step planning. Things that weren't designed. They emerged.

That's not a flaw in the process. That's the current state of the field.

We don't fully understand how these models internally represent information. We don't reliably know why they give specific outputs. Interpretability is still an open research problem.

So the logic becomes:

→ We can't fully predict where the next breakthrough comes from
→ So we scale everything and observe what appears

That feedback loop is why the infrastructure buildout feels endless.

Scale compute. New capability appears. Demand increases. Build more.

Old software worked like this: design it, build it, get a predictable output.

AI works more like this: scale it, run it, then reverse-engineer what happened.

That's why the data centers keep coming.”
 
Blade Runners just cut down speed/zone cameras which I'm fully supportive of it isn't necessarily AI more big brother/nanny state/greenie/socialist garbage and a fun follow
 
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