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How AI Is Unearthing Hidden Scientific Knowledge | Sara Beery | TED

Scientists estimate that 80 percent of life on Earth is still unknown to humanity. But as global temperatures rise, habitats shrink and food and water sources dry up, we’re losing these species faster than we can discover them. AI naturalist Sara Beery reveals how the knowledge to study (and save) the natural world may already…

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Scientists estimate that 80 percent of life on Earth is still unknown to humanity. But as global temperatures rise, habitats shrink and food and water sources dry up, we’re losing these species faster than we can discover them. AI naturalist Sara Beery reveals how the knowledge to study (and save) the natural world may already exist, buried in millions of images, recordings and observations. We just need to learn how to read them before it’s too late. (Recorded at TED Countdown and Bezos Earth Fund on September 24, 2025)

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41 Comments

41 Comments

  1. @SyntheticFuture

    January 8, 2026 at 11:07 am

    It can also help make it all go extinct…. Jay AI!

  2. @cryogen654

    January 8, 2026 at 11:08 am

    for you to promote AI is disgusting. unsubscribing, youve lost all credibility in my eyes.

    • @ManTeera

      January 8, 2026 at 11:28 am

      What did you expect? 😂

  3. @skyebarkschat

    January 8, 2026 at 11:09 am

    Thank you for your ethical insight!!

  4. @skyebarkschat

    January 8, 2026 at 11:10 am

    It is only by LOSING the resources we have depended on to reach this point that we’ll be able to imagine moving forward, unfettered..

  5. @jamesclissett8100

    January 8, 2026 at 11:15 am

    Another day another TED video where they shill for AI. What crap. You used to be worth watching.

  6. @stocktonjoans

    January 8, 2026 at 11:19 am

    and the best part is that the data centres running the AI are killing the planet, meaning there will be less and less species the more we use it, so it’s making it’s job easier as it goes, neato

    but TED just cares about the potential profit, right?

  7. @haraldschnauzer223

    January 8, 2026 at 11:22 am

    Hey MIT professor female narcissist!
    I am just a regular person but your attempt to save species contributes to the overall demise of all species on earth because AI is simply environmentally unsustainable, yes even your so called low cost AI is connected to the vast societal effort of machine learning as is your rich professor lifestyle. You dont have to protect and know all species on earth, some will go extinct. We dont have the power to save!!!! Let go!!!
    So stop playing god and simply do less harm by living more sustainably!!!!

  8. @Jasonxbr

    January 8, 2026 at 11:50 am

    Yea at what cost though, these AI algorithms data centers are highly energy consuming beings that leaves toxic pollution into the environment and its inhabitants. They are hogging all the pc parts so that people in the pc space cant build or buy. They dont serve a purpose, they dont create jobs, they are inaccurate and therefore ineffective 😢😢😢😢😢😢 its just a AI boom just waiting it to burst 😉

  9. @cosmiclettuce

    January 8, 2026 at 12:06 pm

    300 million images sounds like a lot, but it really isn’t. This data is being collected by volunteers who upload their images without any compensation (except the personal satisfaction of contributing to something very important). If researchers would *pay* people to collect decent data for them, *much more* data (I’d guess at least two or three orders of magnitude more) would be uploaded and available for these incredible tools Sara Beery and others have developed. For US$0.01 per image, I’ll upload pics of my local wildlife and fauna all day long, every day. 10,000 images is about 5.5 minutes of video data, which is easy for anyone to do, and they’d get $100 for that effort (provided the data is acceptable — which an AI can help verify). Getting that database up to *30 billion* images would therefore cost $300 million. Not cheap, but also not totally out of reach. Is that a reasonable offer??? Let’s talk! I’d love to be able to contribute!

    • @user-fk8zw5js2p

      January 9, 2026 at 6:22 am

      It’s a good idea, but it’s too much money for little effort. For example, there is a protected forest area here which always has birds, reptiles, fish, insects, and the occasional deer, boar, possum, or rodent. If someone was to set up some cameras and stream video to the project, they would expect to get paid $100 for every 5.5 minutes of video? Conservatively assuming 11 hours of filming per 24 hours due to daylight and IR night vision cameras for a total of 6 cameras focusing on different sections of the pond and forest, they would expect to get paid $72,000 per day? Maybe there should be some upper limit like $10 per month to upload something.

    • @cosmiclettuce

      January 9, 2026 at 7:48 am

      @user-fk8zw5js2p I didn’t say anything about that being a final offer set in stone. My main point is that if people were compensated for their time and/or efforts, more would likely participate and contribute. Incoming data could be evaluated and filtered/distilled (algorithmically or with AI) to get exactly the data that was wanted, and people could get paid based on that. cheers!

    • @riuphane

      January 9, 2026 at 4:56 pm

      I actually think the altruistic nature of the request is more likely to make the data better and more usable. You’re less likely to have people participating just for money. Also, you talk as if you’re only interested in helping if there’s a direct, tangible reward in it for you, but the point is that your contributions will have great effect on you, just indirectly.

    • @cosmiclettuce

      January 9, 2026 at 7:38 pm

      @riuphane There’s nothing stopping people from donating data just like they are now. Given a high volume, data pipeline processing is very efficient these days, and only the ‘best’ data could be selected for use in the database. That could be part of the payment terms: they’ll only pay for the data that’s valuable to them, and they are the final judge. Other than that, who cares where (or from whom) the data is coming from? If the goal is to have access to a lot of data (which it is, in the case of training foundation models), then the incentive of compensation is a way to get all the data they want. *Everyone* would then experience the direct *and* indirect effects.

  10. @Mustbecrazytobehere

    January 8, 2026 at 12:08 pm

    I don’t care. We would’ve discovered them on our own soon enough. The benefits don’t outweigh the dangers. AI will dumb us down even further than tvs and calculators ever did.

    • @homewall744

      January 8, 2026 at 12:27 pm

      Weak people are able to do amazing things with machines that give strength.
      Slow people are able to move rapidly with machines that go fast.
      Small people can fly the biggest planes or operate the largest cranes.
      Less intelligent people will be “smarter” like the best minds when coupled with AI. And trust me, we have LOTS of less intelligent people who will benefit from a tool that gives them intelligence.

    • @daverpr

      January 8, 2026 at 1:05 pm

      @homewall744 as long as the information provided from AI is accurate and not misleading

  11. @tatoruso

    January 8, 2026 at 12:20 pm

    F*ck F*ck F*ck AI.
    Unsubscribing.

  12. @homewall744

    January 8, 2026 at 12:25 pm

    Humans can’t fix natural selection and survival will always be those bet adapted to the current world.

    • @user-fk8zw5js2p

      January 9, 2026 at 6:27 am

      They aren’t trying to fix natural selection. They are trying to fix unnatural selection.

  13. @shead5000

    January 8, 2026 at 12:33 pm

    “Hidden scientific knowledge?” or should words matter? Undiscovered would better describe knowledge. Is this the quality which TED talks have floundered to.

  14. @thepragmaticfarmer6308

    January 8, 2026 at 12:38 pm

    TED shoving more AI propoganda down our throats. TED went from being inspiring to being AI’s number one marketing platform.

  15. @doubleuenbeeeh

    January 8, 2026 at 12:41 pm

    Bizarre shirt strings

  16. @urbanstrencan

    January 8, 2026 at 2:18 pm

    This is what AI should be used to, to protect our nature

  17. @Jooonathan

    January 8, 2026 at 2:27 pm

    Wow, that sounds so good (to track people)!

  18. @VictorSantos-s2l

    January 8, 2026 at 3:27 pm

    Is that an AI speaking?

  19. @patrickwelsh5091

    January 8, 2026 at 3:51 pm

    Whelp. This is the point where we part ways. Since you insist on doing PR for a technology that no one wants, which doesn’t work, and which is having disastrous effects on the price of components, the environment, and the security of labour, I can no longer in good conscience stay subscribed to your content

  20. @AriAzHandle

    January 8, 2026 at 3:53 pm

    Lol 🖖

  21. @dansouth1973

    January 8, 2026 at 4:00 pm

    How empty these discoveries feel though, unearned and ultimately self-defeating in what we’re doing to ourselves.

  22. @최현철-g1h

    January 8, 2026 at 4:58 pm

    Thank you.
    The keywords are hidden data, focused analysis and anybody’ participation. I think

  23. @d3Rm0Nk

    January 8, 2026 at 5:59 pm

    It’s awesome, at least we’ll know what species are going to go extinct, when AI literally kills our planet

  24. @PrivacyProfessionalTraining

    January 8, 2026 at 11:19 pm

    Fascinating insight on how AI can help us uncover and protect the unknown species on our planet—truly a race against time for biodiversity.

  25. @BrianMcInnis87

    January 9, 2026 at 1:12 am

    Redundant title. Science *means* knowledge.

  26. @durragas4671

    January 9, 2026 at 1:36 am

    It’s pointless to collect the data and analyse it if the powers that be don’t make data driven decision. Current government make their own truth. They will not ban insecticides because it’s their friends’ companies.

  27. @edm5166

    January 9, 2026 at 5:09 am

    AI is neither religious nor racist therefore able to be objective without enforcement of superiority dogma

  28. @Dynasty1818

    January 9, 2026 at 8:28 am

    Anyone else feel like “80%” is the new lie? Why is basically everything 80% when it comes to facts and data? It’s the 80:20 rule sure, but it seems to be everywhere now. When everything’s 80%, nothing is.

  29. @rw6836

    January 9, 2026 at 9:52 am

    Knowing more about other species is always good, but we know already what should be done (reduce greenhouse gas emissions), and how to do it (shift to renewable sources of energy like solar). A lot of us just don’t do anything about it. But change is possible. e.g. China and some other countries have shifted to solar energy. Countries like the US are actually going backwards with respect to emissions.

  30. @lifemotivation6789

    January 9, 2026 at 10:19 am

    We can’t protect what we don’t understand — AI could change that.

  31. @rt_bea5082

    January 9, 2026 at 10:35 am

    I can’t help but think – how about just leave all of this alone, stop destroying the ecosystems – so they are not at (human) risk – then take the time to explore it. AI not even needed.

  32. @riuphane

    January 9, 2026 at 4:49 pm

    While I think this is fascinating and has a ton of potential, I’m concerned it will lead to a false sense of confidence in solutions built on correlation without causation or understanding. Especially when making this more widely available. Science and research is already being misrepresented to the public on a regular basis to promote various agendas. I’m not saying “don’t use the tools, it’s a bad idea”, I’m wondering how these concerns are being considered. And not just to know what’s being done, but to know how these concerns can be combated and mitigated for those who might use them to discredit the value of this technology. Anyone who might have direct insight or first hand knowledge would be greatly appreciated, not really looking for speculation or hypothetical answers.

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