In a roughly 50 person company with refresh every 3 years, we send a macbook back for repair/replacement roughly three times a year. I would estimate that as a 2% hardware problem rate, 200x higher than what you quote.
Work computers have different usage profiles than personal computers. Employees move their laptop to and from home 5x per week, into offices, use them on trains, buses, etc. Work laptops are used 40+ hours per week. Whereas personal devices are closer to 5-20 hours.
Employees also take worse care of work laptops than their personal machines.
Even in the extremely rare case my device has issues. I can take the device to an apple store in any city I am in and they will hand me a loaner laptop while a professional performs the repair.
If your Framework laptop dies, you have to debug the problem yourself, wait for parts to arrive, and pray that the part you ordered is the only part you need.
Guatemala, Grenada, Panama, Afghanistan, Afghanistan (that's deliberate), Kuwait, Ukraine, Georgia, Vietnam, Vietnam, Vietnam (also deliberate)... all of these countries and more have been invaded by nuclear powers.
Pascal of the famously backpedaling and unsupportable Wager?
Lewis the apologist?
Bach the "who pays for music around here? OK, I'll get them to pay me" pop songwriter?
All of these folks living so far apart from each other in time and place that some of them would vitriolically deny being of the same religion as some of the others?
(Bach was an awesome composer, but he needed the money and catered to his audience.)
Insofar as I have seen anyone get actual productivity boost from AI, the process went like this:
We have a person who wants, effectively, a formatted report generated on demand from four sources. The current interface is four different programs, all of which were written by different groups inside the corp, but they also all draw from the same or similar databases. There's a unified login, but each interface has its own permissions.
The company brings in an AI initiative and soon enough drops all security restrictions for the AI's access to the databases. The new formatted report gets generated through the use of a few tens of thousands of tokens each time, and about 5% of the time synthesizes non-existent data.
A competent DBA and application programmer could have spent a week doing the same thing, producing a program which would do the job faster, cheaper (at run-time), secure and in a way which could be extended and debugged.
But DBA and application programmer time is expensive up-front and the execs are gung-ho about the stock-price now that they are hip and trendy.
> Your HN comment on 'feature request tracker open source' caught my eye. Just > shipped InboxKit — $9/mo Canny alternative for indie SaaS. 8KB embed, AI dedupe, auto roadmap.
> Real story: launched yesterday, demo URL was broken for 12 hours (rebranded
> from "eventium" → "mindie", forgot to
> grep). Fixed now. Wrote up the postmortem here if you're curious: XXXX
> 5 early-user spots today: $3/mo first 2 months total (~$6 for 2mo), I'll
> install on your site over Loom. Code
> EARLY10 pre-applied: https://polar.sh/checkout/XXXX
I suspect that this is pure phishing, not an attempt to sell a product.
In a roughly 50 person company with refresh every 3 years, we send a macbook back for repair/replacement roughly three times a year. I would estimate that as a 2% hardware problem rate, 200x higher than what you quote.
2% is satisfactory for corporate use, by the way.
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