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Yes and

Carnegie Technical Schools was founded in 1900 based on a $1m donation from Andrew Carnegie,

Mellon Institute of Industrial Research was originally founded in 1913 by Andrew and Richard Mellon.

Carnegie Mellon was created by combining the two institutions in 1967.


Wait - how are skills dependent on python?

Isn’t python just an option ?


It is, but to do the "useful" stuff, it's more or less mandatory. Either Python or bash scripts (which are equally as janky tbh).

You can publish scripts with skills you author, right? With carefully constructed markdown that should allow the agent to call tools the right way.

I don’t understand how “running it in a vm” Or a docker image, prevents the majority of problems. It’s an agent interacting with your bank, your calendar, your email, your home security system, and every subscription you have - DoorDash, Spotify, Netflix, etc. maybe your BTC wallet.

What protection is offered by running it in a docker container? Ok, It won’t overwrite local files. Is that the major concern?


Read my second paragraph.

It’s a matter of giving the system shims instead of direct access to “write” ops. Those shims have controls in place. Their only job is to examine the context and decide whether the (email|purchase|etx) is acceptable, either by static rules, human intervention, or, if you’re really getting spicy. separate-llm-model-that-isn’t-polluted-by-untrusted-data.

Edit: I actually wrote such a thing over the weekend as a toy PoC. It uses the LLM to generate a list of proposed operations, then you use a separate tool to iterate though them and approve/reject/skip each one. The only thing the LLM can do is suggest things from a modest set of capabilities with a fairly locked-down schema. Even if I were to automate the approvals, it’s far from able to run amok.


“AI changes everything!”

Cmon man. “Consumers” in aggregate. Not “every consumer”. But you knew that.

Many consumers want things that are arguably harmful for everyone involved. Users asking Grok to generate a large amount of CSAM from kid pics on Twitter is but one example.

Just to clarify; you're comparing nuclear weapons to lines of code that generate text/images?

he is comparing the acquisition and utility of those two.

It's literally why Leon bought Twitter. A Mass influence vehicle.

It used to be that the common model in the USA for tv was, one cable bundle with 500 channels. That has now evolved to a combination of

- cable bundles

- aggregate streams (Netflix, Prime, Apple TV)

- pay per view (Prime or YT TV)

And somehow all of these models now coexist.


Before the time you mention, the common model for TV was, you bought a TV, and you got as many channels as your antenna could pick up, all for free. Advertisers fought over the privilege of having access to your living room so much so that they sponsored whole shows, as they had with radio before TV. From this revenue, every local station was able to put together a news broadcast, and national networks broadcast the national news every evening, all for free as far as the viewer was concerned. This was the golden age of journalism, back when people believed the journalists [0].

Somehow all the media advances, the democratizing influence of the internet, the rise of social media, and the ubiquity of constant streams of news in various forms has just made the news more expensive and less trusted.

And, frankly, anyone even remotely considering microtransactions needs to take into account that one third of the population distrusts the media and another third gives it no credibility whatsoever—and money in the form of microtransactions would have to follow credibility, because nobody pays for what he believes is a lie.

[0] https://news.gallup.com/poll/651977/americans-trust-media-re...


I did not know that. Path expressions for access control?

Mostly for validating the FHIR Resources themselves

You can invest a lot and get minimal results, OR, it’s possible they invested in 71-odd tools and only 17% produced results, but those results were as desired or expected so they didn’t actually need the other 83% of the tools they tried.

The number of tools that were deemed effective is not proportional to the “the effect”.


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