Almost inclined to agree, but the headline of Langford's post needs some additional context.
pavlov 43 minutes ago [-]
Hugged to death like it’s 2008 and you’ve just lit your LAMP stack.
srean 39 minutes ago [-]
Thanks for the heads-up. I added an archive.is link to give it a breather.
jphoward 23 minutes ago [-]
Almost as fascinating is that the article references Digg as the source - genuinely hadn't heard of Digg for maybe a decade? I thought the DVD encryption fiasco + reddit had ended it?
natebc 21 minutes ago [-]
It got rebooted a couple years back. One of the founders of reddit was involved too lol.
Seems like it quickly pivoted quickly to cash in on "AI" hype.
kvark 12 minutes ago [-]
His complaints sound childish to me. If the research products were truly innovative and useful, he wouldn't need to force Microsoft to adopt them.
kaashif 9 minutes ago [-]
You think incumbent megacorps are all quick at adopting new, useful technologies?
Some are, some aren't. Some try, but botch it.
kvark 3 minutes ago [-]
Autogen is open source. I don't know the availability of other projects.
Generally engineers in megacorps aren't shy of picking up the latest AI tools. I suppose Microsoft may have barriers around this though, curious to discover more details.
Real research at most big companies is dead. Unfortunately, what has replaced it is mostly venture-backed startups, where the timeline to a return is still expected to be quite short.
As a result, you end up with companies doing basic research under the guise of developing a product, announcing timelines which are never going to be met. Fusion energy and quantum computing startups are some of the most egregious examples of this.
eurieidd 27 seconds ago [-]
There’s actually a bizarre irony.
Remember Bell labs, XEROX parc? Ask yourself why that existed and why research came out of them.
Monopoly.
So - many people don’t want to admit this but monopolies can be good from an R&D perspective, but without strong oversight by regulators - money will instead spent on R&D projects that specifically raise entry barriers.
Insimwytim 16 minutes ago [-]
Real research has always been long term as well as heavy manufacturing. It requires long-term planning with long-term budget, which is hard to get when money is expensive.
the__alchemist 22 minutes ago [-]
I have been shorting most of the Quantum Computing startups for about a year. They have been printing. Missed out on Fusion! (?) These were one of few examples of the market leaving money on the table. Others examples have been Nikola. Usually the scammyiest companies don't IPO.
shermantanktop 34 minutes ago [-]
The headline makes good bait for AI skeptics. But this is a team of 50 people with a grandiose name.
The more interesting idea is that MS has abandoned AI research entirely, presumably because their zillions invested in other companies are a better bet in that area.
2OEH8eoCRo0 17 minutes ago [-]
Curse of money strikes again. $4tn market cap company thinks team of 50 researchers too expensive.
Insimwytim 14 minutes ago [-]
Think of the chi... investors!
skeledrew 36 minutes ago [-]
New AI lab incoming?
sehw 27 minutes ago [-]
Yeah, in India.
AndrewKemendo 27 minutes ago [-]
Well I never thought I’d see Digg used as a primary source
This is certainly an interesting timeline in this section of the light cone
https://archive.is/AaY5O
(Original https://hunch.net/?p=13764006 )
https://en.wikipedia.org/wiki/Digg#2025%E2%80%93present:_The...
Seems like it quickly pivoted quickly to cash in on "AI" hype.
Some are, some aren't. Some try, but botch it.
It was my introduction to feature hashing.
As a result, you end up with companies doing basic research under the guise of developing a product, announcing timelines which are never going to be met. Fusion energy and quantum computing startups are some of the most egregious examples of this.
Remember Bell labs, XEROX parc? Ask yourself why that existed and why research came out of them.
Monopoly.
So - many people don’t want to admit this but monopolies can be good from an R&D perspective, but without strong oversight by regulators - money will instead spent on R&D projects that specifically raise entry barriers.
The more interesting idea is that MS has abandoned AI research entirely, presumably because their zillions invested in other companies are a better bet in that area.
This is certainly an interesting timeline in this section of the light cone