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Cleo Abram
Video journalist
Cleo Constantine Abram is a video journalist and producer known for her work on technology and science-related content. She is currently the creator and host of "Huge If True," an optimistic show about technology that could shape our future.14
Born on January 27, 19932, Abram has built a career in video journalism, focusing on explaining complex technological concepts to a wide audience. She graduated from Columbia University and previously attended Sidwell Friends School.4
Before launching "Huge If True" in January 2022, Abram worked at Vox.com for several years, where she held various roles4:
- Producer and Host (February 2019 - January 2022)
- Producer and Host of "Glad You Asked" on YouTube Originals
- Producer of "Explained" on Netflix
Abram's work aims to decode technology and economics, revealing how systems work and highlighting the wonders of the world we've built.3 Her show "Huge If True" explores new ideas and technologies that could change the world, covering topics such as quantum computers, humanoid robots, and supersonic planes.1
In addition to her video production work, Abram has experience in development and strategy. She previously worked as a Senior Manager of Development at Vox.com and as a Senior Associate at Precision Strategies.4
Abram's approach to journalism combines high-quality production with relatable, vlog-style content. She strives to present optimistic views of future technologies while also addressing potential challenges.15
Highlights
Google DeepMind CEO Demis Hassabis on "leaving AI in the lab for longer” (full question + answer in the video as I've seen him misquoted). Here's what he said:
"For me, the best use case of AI was to improve human health and accelerate scientific discovery..."
"Given how important AGI is and how transformative a technology is, maybe the most transformative one in human history, I thought it would be best to approach the sort of latter stages of building it, which we're in now, using the scientific method, very carefully, very precisely, very thoughtfully, and rigorously with all the best scientists, in my ideal world, collaborating on in CERN-like effort, on making sure each step we understood each step each as we got to the final goal of, of building AGI....
"While we're building AGI in this careful scientific way, humanity could benefit from the proceeds of that, like cures for cancer, or maybe new energy sources or new materials…
“Looking at this from 20, 30 years ago when I started out on all of this, that would have been the ideal way for it to play out, in my opinion.
“Now, it didn't happen like that because technology's unpredictable and in fact, it turns out that things like language were a lot easier than we were all expecting…
“We were sort of playing around with that, so were the other leading labs, but of course with ChatGPT and fair play to OpenAI, they scaled it and then they put it out there.
“And I think even they say it was kind of a research experiment. They didn't realize it would go so viral. And I think none of us did and we had sort of fairly equivalent systems at the time…
“Now, the downside of it is, we're in this sort of ferocious commercial pressure race that everyone's sort of locked into currently.
“And then on top of that, there's geopolitical issues like the US-China race and so on. So there's sort of multiple levels of pressure to sort of move fast. So the benefit of that, of course, you get faster progress, obviously. The progress is just at lightning speed these days. So that's good for all the good use cases. The second benefit is that everybody, all of the viewers out there, everyone, you're all getting to use the most cutting edge AI technology, perhaps only three to six months behind what is actually in the labs. So that's kind of mind blowing.
“It's also great because I think it gives everyone a feeling for, it's democratizing AI. It's giving everyone a feeling for what it's like to interact with cutting edge AI and what it can do and what it can't do…
“So I think there's positives and negatives about the way it's gone. It's not the way I dreamed about years ago where we would be sort of contemplating this philosophically and carefully considering each next step. We're not in that world. And I'm, although I'm a scientist first and foremost, I'm also a pragmatic engineer. So, we have to deal with the world as we find it and make the best of that. And we try to do that by advancing the frontier, but also trying to be as responsible as we can with doing that as we deploy these, you know, very powerful technologies, like Gemini and Alphafold.”
What is the real future Google DeepMind CEO @demishassabis is trying to build?
That's what we talk about in this HUGE* Conversation -- so you can decide for yourself what you think of it.
If you're feeling the doom and gloom, this is the conversation to watch on AI.
We get into:
- The best use of AI
- Why Demis won the Nobel Prize
- The dramatic story of AlphaFold
- The cutting edge of drug discovery right now
- Demis' ideal for how AI gets built (v. what's happening now)
- Why AI is getting more creative
- The surprising stories of AlphaGo, AlphaZero, and AlphaStar
- Governments and militaries using AI (as far as I know, his only recent comments on this)
- What are we worrying too much about v. not enough about
- What can humans do that AI won't
- The big questions on Demis' mind right now
- The plot of the sci-fi future Demis thinks we're headed for (this was my favorite part)

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