Purely observed correlation between catastrophic error reports. So now I carry a “tiger rock” with me. I figure there wasn’t much of a downside to avoiding swearing in my agent instructions.
I have a theory that swearing actually results is less comprehension of instructions by the model due to lack of training data over more conventional MUST.
We were reviewing reports of situations where the models failed to follow directions and there was a common thread of some where when the operator got the model to acknowledge the rule breach, it quoted back something that included swearing.
I don’t have the data to truely look into it, but I did give the instruction to my engineers to avoid it as a “might be a problem”.
> the average person in a post-work future needs to have a genuine ownership stake in the AI compute that's making things happen, not just welfare funded from the profits of the billionaires who own it
So nationalise the AI companies? Isn’t that exactly what that would be. I am not opposed to the idea of public ownership, but I think some of the existing investors aren’t going to be happy with that option.
I wonder if we end up with z series running on arm long term.
The value in z series is in the system design and ecosystem, IBM could engineer an architecture migration to custom CPUs based on ARM cores. They would still be mainframe processors, but likely able to be able to reduce investment in silicon and supporting software.
I would think the comparison would be the BYD ATTO 3 premium vs Tesla Y premium.
Australian sticker price for the atto 3 is under $45,000 AUD, a smidgen over $30K usd.
With a wife with a mobility scooter and working 30-90 mins away from the office depending on traffic, I picked on up (salary sacrificing) as the lease costs less than what I was paying for fuel on the Kia carnival (Sedona in the us) each week.
Tesla model 3 entry level was another $10K AUD for a car with less features.
Completely agree with the lock-in, and they aren't the best / featureful device out there. It seems the sweet spot for them is places with LARGE distributed footprints (such as retailers), where you can have very simple networking (some back to HQ, the rest to internet).
It fits well with being able to rapidly bring bodies into a project and implement change X across hundreds of stores, while having a standing IT team of 5.
If you have onsite (fulltime) IT, its likely not the best option.