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> The urgency to build with the new A.I. was crystallized in an internal email sent last month by Sam Schillace, a technology executive at Microsoft. He wrote i

> The urgency to build with the new A.I. was crystallized in an internal email sent last month by Sam Schillace, a technology executive at Microsoft. He wrote in the email, which was viewed by The New York Times, that it was an “absolutely fatal error in this moment to worry about things that can be fixed later.” I wonder what the list of "things that can be fixed later" is and when would "latter" be.

labrador 4y ago
Mentally ill people will be triggered to do things by it. As an older guy, this reminds when LSD was introduced. We learned to manage that after we had a bunch of acid causalities and Charles Manson cults, we'll learn to manage this
- mistrial9 4y ago
  A key difference here is that the effects of "smart" AI on networks binds tightly to, and in a way that is hard to detect integrates with, online channels of communication. Online channels of communication are quite the topic right now, considering phones use as social endpoint. IMO- that ill-advised publicity and "party" campaign by Timothy Leary caused a lot of damage to a lot of people.
Jyaif 4y ago
What the worst thing that an LLM can do? I can think of these 3 categories: 1/ It can output offensive things. 2/ It can output incorrect information that someone takes at face value, like "drink bleach to fix your headache". 3/ It can leak secret information, if it was trained on secret information. None of these sound like a really big deal TBH.
- sorokod 4y ago
  Consider that some in Microsoft were worried enough to warrant the quoted email.
- pixl97 4y ago
  >What the worst thing that an LLM can do? Well, I hooked it into the power grid voltage monitoring system because there was a legacy meter that didn't put out the right signal, but the analog meter showed correct. The image recognition part of the model could tell when the sensor was about to go high, and then it issued an API command to the generator to slow down... So, um, sorry about the blackout.
  - moritzwarhier 4y ago
    Using LLL-based image classification to read an anlog meter and then using that as the source of truth. OK, this just utter nonsense. On second thought it sounds like the type of thing that very ill-advised people could come up with.

labrador 4y ago

Mentally ill people will be triggered to do things by it. As an older guy, this reminds when LSD was introduced. We learned to manage that after we had a bunch of acid causalities and Charles Manson cults, we'll learn to manage this

mistrial9 4y ago
A key difference here is that the effects of "smart" AI on networks binds tightly to, and in a way that is hard to detect integrates with, online channels of communication. Online channels of communication are quite the topic right now, considering phones use as social endpoint. IMO- that ill-advised publicity and "party" campaign by Timothy Leary caused a lot of damage to a lot of people.

Jyaif 4y ago

What the worst thing that an LLM can do? I can think of these 3 categories: 1/ It can output offensive things. 2/ It can output incorrect information that someone takes at face value, like "drink bleach to fix your headache". 3/ It can leak secret information, if it was trained on secret information. None of these sound like a really big deal TBH.

sorokod 4y ago
Consider that some in Microsoft were worried enough to warrant the quoted email.
pixl97 4y ago
>What the worst thing that an LLM can do? Well, I hooked it into the power grid voltage monitoring system because there was a legacy meter that didn't put out the right signal, but the analog meter showed correct. The image recognition part of the model could tell when the sensor was about to go high, and then it issued an API command to the generator to slow down... So, um, sorry about the blackout.
- moritzwarhier 4y ago
  Using LLL-based image classification to read an anlog meter and then using that as the source of truth. OK, this just utter nonsense. On second thought it sounds like the type of thing that very ill-advised people could come up with.