Hopes and Fears
It became clear in the early hours of November 9 that the MIT community would need a way to process an election outcome few had expected. So Caroline Mak ’18 and her friends wrapped Lobby 7’s six columns in paper and invited people to share their hopes and fears. The columns quickly filled with fears of deportation, police brutality, loss of rights. Fears of more misogyny, racism, sexism, and xenophobia. Fears for the environment. Fears by Trump supporters that peers would never understand why they voted for him. The columns also filled with hopes: America can be great again, we can learn from this election, and it “will bring forth the toughest, smartest generation of ass-kicking women the world has ever known.” One person hoped to understand the 48 percent of American voters who made the opposite choice.
“We do some of our best work when we turn outward to the world,” President Reif wrote to the MIT community. “Let’s continue to do that now. And, following our students’ lead, let us find ways to listen to one another—with sympathy, humility, decency, respect, and kindness.”
The inside story of how ChatGPT was built from the people who made it
Exclusive conversations that take us behind the scenes of a cultural phenomenon.
Sam Altman invested $180 million into a company trying to delay death
Can anti-aging breakthroughs add 10 healthy years to the human life span? The CEO of OpenAI is paying to find out.
ChatGPT is about to revolutionize the economy. We need to decide what that looks like.
New large language models will transform many jobs. Whether they will lead to widespread prosperity or not is up to us.
GPT-4 is bigger and better than ChatGPT—but OpenAI won’t say why
We got a first look at the much-anticipated big new language model from OpenAI. But this time how it works is even more deeply under wraps.
Get the latest updates from
MIT Technology Review
Discover special offers, top stories, upcoming events, and more.