A nationally recognized online disinformation researcher has accused Harvard University of shutting the project she led to protect its relationship with mega-donor and Facebook founder Mark Zuckerberg.
A nationally recognized online disinformation researcher has accused Harvard University of shutting down the project she led to protect its relationship with mega-donor and Facebook founder Mark Zuckerberg.
The allegations, made by Dr. Joan Donovan, raise questions about the influence the tech giant might have over seemingly independent research. Facebook’s parent company Meta has long sought to defend itself against research that implicates it in harming society: from the proliferation of election disinformation to creating addictive habits in children. Details of the disclosure were first reported by The Washington Post.
Beginning in 2018, Donovan worked for the Shorenstein Center at Harvard University’s John F. Kennedy School of Government, and ran its Technology and Social Change Research Project, where she led studies of media manipulation campaigns. But last year Harvard informed Donovan it was shutting the project down, Donovan claims.
Harvard is where they got caught taking money from the sugar lobby and put out a paper pointing away from sugar as a leading cause of heart disease and towards saturated fat. This changed health policy in America, killing who knows how many.
Harvard has deserved no credibility for longer than we've been alive.
That really has not been my experience with ChatGPT4+. It is getting very good and catches me off guard daily with it level of understanding. Sure it makes mistakes and it laughably off base at times, but so are we all as we learn about a complex world.
It's only a bullshit generator if you use it for bullshit generation...
We've automated ways to accelerate problem solving, and now that it's able to actually reason (AI that can actually do math is a big deal). That acceleration should increase significantly.
Such acceleration can make things like AGI actually around the corner, with that corner being 5-10 years from now. Though I think we have too many hardware limitations ATM, which will definitely hamper progress & capability.
But with companies like Microsoft seriously considering moves like "Nuclear Reactors to power AI" , issues with power consumption may not be as much of a barrier...