To summarize why I think professors are going with this arrangement (in order): 1) Much less, if any, grant writing. A standard NSF $500K 3 year grant provides a lab about $100K per year (due to university overhead). This will support 1-2 PhD students on a pittance of a stipend. 2) Less teaching (1 course once a year) 3) Computing resources that are far greater than you could get a grant for. One NVIDIA DGX-1 is abou…
A couple notes: 1. Industry funding comes with its own set of hassles. And overhead is still a thing for industry funding - sometimes the overhead rate is less, but there's been a lot more pushback against this from universities (which I actually think is quite fair). 2. Being able to buy out teaching loads is a function of funding, not necessarily this funding 3. In many institutions, salaries are fixed - what this…
Facebook AI Research Expands with New Academic Collaborations
71–80 of 88 posts
Re: Facebook AI Research Expands with New Academic Collaborations
#72Earlier quoted context omitted.
Most employer agreements have fairly draconian claims around IP. And I believe that many universities require their faculty to run consulting, etc. gigs through their legal teams, and the university gets a "right of first refusal" of sorts on the generated IP. Many academics get around this by claiming that they are doing research X at company (more applied, etc.) and research Y at the university (more theory, techni…
Yeah, at my university partnerships between academia and industry have very complex IP terms that depend on the scope of work, how much of it involves novel research, etc. And there, there's the clarity of "I'm an employee of the university". With dual appointments...the agreement has to be complex. Either that, or really draconian based on Facebook throwing it's weight around and saying "Accept this, or we'll find a…
Re: Facebook AI Research Expands with New Academic Collaborations
#73Earlier quoted context omitted.
A couple notes: 1. Industry funding comes with its own set of hassles. And overhead is still a thing for industry funding - sometimes the overhead rate is less, but there's been a lot more pushback against this from universities (which I actually think is quite fair). 2. Being able to buy out teaching loads is a function of funding, not necessarily this funding 3. In many institutions, salaries are fixed - what this…
While all of what you say is correct for grants given to universities by industry, this isn't in the same class of activity. These professors are becoming FB employees, while still retaining their professorships. Some aren't even located at the same location as their university for 7 months of the year. Its almost like a yearly sabbatical with funding for your lab and far more resources.
Re: Facebook AI Research Expands with New Academic Collaborations
#74Earlier quoted context omitted.
Heck, you could even go as far as saying that Facebook is ethically "challenged".
I think you can go even farther, to, "intentionally malicious". Mark hasn't taken back his comments about his users being "dumb fucks" for "trust[ing]" him, as far as I know , although he has apparently said that he regrets saying it[0]. [0] https://www.newyorker.com/magazine/2010/09/20/the-face-of-fa... Source: research and I've asked FB myself
Re: Facebook AI Research Expands with New Academic Collaborations
#75Earlier quoted context omitted.
Heck, you could even go as far as saying that Facebook is ethically "challenged".
I think you can go even farther, to, "intentionally malicious". Mark hasn't taken back his comments about his users being "dumb fucks" for "trust[ing]" him, as far as I know , although he has apparently said that he regrets saying it[0]. [0] https://www.newyorker.com/magazine/2010/09/20/the-face-of-fa... Source: research and I've asked FB myself
What's the difference between this and taking it back?
Re: Facebook AI Research Expands with New Academic Collaborations
#76Re: Facebook AI Research Expands with New Academic Collaborations
#77To summarize why I think professors are going with this arrangement (in order): 1) Much less, if any, grant writing. A standard NSF $500K 3 year grant provides a lab about $100K per year (due to university overhead). This will support 1-2 PhD students on a pittance of a stipend. 2) Less teaching (1 course once a year) 3) Computing resources that are far greater than you could get a grant for. One NVIDIA DGX-1 is abou…
For instance, I assume that grant writing is such a hassle, the average person would accept just to get out of writing grants. But the guys and gals that they picked up are at the top of their field. Would they also have the same constraints? Seems like they would have higher hit rates, less teaching and so forth.
I think the ability to launch the careers of their grad students, get them hired etc might be at the top, but I am just guessing.
Re: Facebook AI Research Expands with New Academic Collaborations
#78Earlier quoted context omitted.
I think you can go even farther, to, "intentionally malicious". Mark hasn't taken back his comments about his users being "dumb fucks" for "trust[ing]" him, as far as I know , although he has apparently said that he regrets saying it[0]. [0] https://www.newyorker.com/magazine/2010/09/20/the-face-of-fa... Source: research and I've asked FB myself
> he has apparently said that he regrets saying it What's the difference between this and taking it back?
Re: Facebook AI Research Expands with New Academic Collaborations
#79To summarize why I think professors are going with this arrangement (in order): 1) Much less, if any, grant writing. A standard NSF $500K 3 year grant provides a lab about $100K per year (due to university overhead). This will support 1-2 PhD students on a pittance of a stipend. 2) Less teaching (1 course once a year) 3) Computing resources that are far greater than you could get a grant for. One NVIDIA DGX-1 is abou…
Your list seems pretty complete, but I wonder which items are the most important. It might be counterintuitive. For instance, I assume that grant writing is such a hassle, the average person would accept just to get out of writing grants. But the guys and gals that they picked up are at the top of their field. Would they also have the same constraints? Seems like they would have higher hit rates, less teaching and so…
There is no free lunch in raising money for research.
Re: Facebook AI Research Expands with New Academic Collaborations
#80Earlier quoted context omitted.
Any researcher in this area worth their salt can easily get cloud credit grants and collaborations from Google, Microsoft, Amazon. I pose if you go to Facebook, it's very much about money.
What actions by Facebook do you see as particularly heinous above what's done at Google?