Want to know how much it costs these days to train and deploy state-of-the-art AI? Thinking about strategic investment in development? My colleagues @YJernite and @SashaMTL have the deets.
https://t.co/X58lisPD38
🎙️ @SashaMTL, informaticienne et chercheuse spécialisée en intelligence artificielle (IA) et environnement, changement climatique , sera l'invitée d'@ArnaudPontusRFI
⏰ RDV mercredi à 6h20TU/7h20 à Paris sur @RFI
By using smaller models and open-sourcing them 🤗 , by measuring energy efficiency ⚡ and by mandating transparency and disclosures 📃, we can contribute towards a better future of AI together.
Check it out, leave your comments and share with your networks! 🦋
How is AI impacting people and the planet, and how can we do better? 🌍
In my most recent TED talk, I shed light on how the current way we do AI and explore ways forward in which we can make it more sustainable -https://t.co/JIXRmdeb16
A few weeks ago, Sam Altman said that AI may one day cure cancer... but only if computing power reaches 10 gigawatts 🤯
I wholeheartedly disagree with this statement, and my colleagues @cgeorgiaw and @evijit just wrote a paper that explains why this is the case! 🤗
The reason AI isn't transforming science faster isn't:
❌ not enough compute
❌ not enough data
❌ not good enough models
❌ not enough AGI
The real problem is social.
“It’s almost like a mass hallucination where everyone is on the same wavelength that we need more data centers without actually questioning why"
Wise words from Sasha Luccioni @SashaMTL on the endless race for ever-greater computing power.
#AI#Energy
https://t.co/aNDPxOBKWp
I'll also be joined by amazing speakers like Catherine Nakalembe, Varun Sivaram and Tom Chi (with more to be announced!), talking about how AI is impacting our planet, and what we can do to change course 🌍.
If you're in NY and want to attend, you can fill out the form!
Well folks, the butterfly's out of the bag -- I'm doing another TED talk! 🦋 🎤 Catch me during NYC Climate Week on September 24th for an evening of talks hosted by TED Countdown -- I will be talking about all things AI and sustainability 🌍
https://t.co/HfB2Dhh5ce
If you're a researcher or engineer releasing open science papers & open models and datasets, I bow to you 🙇🙇🙇
From what I'm hearing, doing so, especially in US big tech, often means fighting your manager and colleagues, going through countless legal meetings, threatening to quit or taking a lower paycheck, and sometimes the result is only that you'll get scolded when what you shared is used by competitors.
But, please remember: research papers and open models and datasets is how progress happens! Your efforts are pushing AI toward a more open and collaborative future. Thanks to openness, your research or models get a chance to be noticed, seen & built upon by people you respect to accelerate progress, grow your network & accelerate your impact.
It might be tough right now but open science will ultimately prevail as it always did! The researchers & engineers that we'll remember in ten years are the ones who share what they build, not the ones that keep it behind closed-doors for company profit maximization.
Please keep fighting for openness. We see you and we thank you! 💚💛 💙💜
I am so grateful that this paper is out!
It so eloquently describes so many of the issues I've seen with a lot of AGI experimentation that concludes that LLMs are scheming or ill-intentioned and the chimp language metaphor is the cherry on the cake 🍰
https://t.co/VWScIxxotP
“It blows my mind that you can buy a car and know how many miles per gallon it consumes, yet we use all these AI tools every day and we have absolutely no efficiency metrics, emissions factors, nothing,” Luccioni says.
@SashaMTL 💯
https://t.co/xIEEmbm6Tu
Your Honor, please let the record reflect that I had a massive crush on Pedro Pascal way before everyone else did ... over 2 years ago 😍
Check out the evergreen Space I made to find your inner Pedro here! https://t.co/kPWOmMMWhs
Discovering smaller models perform just as well while using 200x less energy: 🤯
Sometimes the best AI strategy is just... not using the biggest hammer for every nail.