AI in the Bee Yard: Getting Started with AI for Beekeepers
Artificial intelligence is rapidly finding its way into everyday tools—but where does it fit in the bee yard? In this Beekeeping Today Podcast Short, Jeff Ott and Becky Masterman begin exploring how beekeepers can put AI to practical use without treating it as an unquestioned authority.
Jeff and Becky discuss using AI to organize colony inspection notes, create spreadsheets for mite monitoring, analyze data, help locate research and extension resources, and assist with projects such as grant applications. They also address the other side of the equation: AI can sound convincing while providing inaccurate information, invent sources, misinterpret images, or claim capabilities it does not actually have.
Jeff shares his own experiment asking AI to identify and count Varroa mites from photographs of IPM boards—with decidedly mixed results.
Their takeaway is straightforward: use AI as an assistant, much like a student or intern. Ask questions, challenge the answers, request sources, and verify important information yourself.
And this is only the beginning.
Websites from the episode and others we recommend:
- Honey Bee Health Coalition: https://honeybeehealthcoalition.org
- Project Apis m. (PAm): https://www.projectapism.org
- The National Honey Board: https://honey.com
- Honey Bee Obscura Podcast: https://honeybeeobscura.com
Copyright © 2026 by Growing Planet Media, LLC
______________

Betterbee is the presenting sponsor of Beekeeping Today Podcast. Betterbee’s mission is to support every beekeeper with excellent customer service, continued education and quality equipment. From their colorful and informative catalog to their support of beekeeper educational activities, including this podcast series, Betterbee truly is Beekeepers Serving Beekeepers. See for yourself at www.betterbee.com
_______________
We hope you enjoy this podcast and welcome your questions and comments in the show notes of this episode or: questions@beekeepingtodaypodcast.com
Thank you for listening!
Podcast music: Be Strong by Young Presidents; Epilogue by Musicalman; Faraday by BeGun; Walking in Paris by Studio Le Bus; A Fresh New Start by Pete Morse; Wedding Day by Boomer; Christmas Avenue by Immersive Music; Red Jack Blues by Daniel Hart; Bolero de la Fontero by Rimsky Music; Perfect Sky by Graceful Movement; I'm Not Running Away This Time by Max Brodie; Original guitar background instrumental by Jeff Ott.
Beekeeping Today Podcast is an audio production of Growing Planet Media, LLC
** As an Amazon Associate, we may earn a commission from qualifying purchases
Copyright © 2026 by Growing Planet Media, LLC

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Welcome to Beekeeping Today Podcast Shorts, your
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quick dive into the latest buzz in beekeeping.
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Brought to you by Betterbee, your
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AI in the Bee Yard.
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This will be fun to talk about in a short and a short series
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I mean maybe at the end of our conversation
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AI will be talking for us, Jeff.
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Oh, you know, that would be good.
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Wait, it would be good?
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I don't I don't want AI to to take our jobs.
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Hey
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Yeah, that's true.
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That's true.
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But
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but you
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also, so
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the
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what's kind of spurred us in this direction was a great article that you had uh
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in
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September
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's Bee
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Culture.
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Were you interviewed ChatGPT
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about beekeeping?
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Yes, I I started thinking
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about
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AI and how beekeepers were going to use it
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and
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It was
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it was kind of interesting because I
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I
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tested
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ChatGPT, which is an
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AI chatbot.
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And I started testing it by asking questions that I 100%
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knew the answer to, or giving it tasks that would just maybe help with organization.
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And
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I immediately found that
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although a great tool, one
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needed to learn how to use
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these chatbots, I think,
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so that they're for their advantage, not a potential disadvantage
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I I agree 100%.
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Uh you know me, I'm a um
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I I'm a
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I like using technology.
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You like technology, yep.
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I like technology.
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I always say I have it's not a new thing, it's not a new acquisition
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And and so the whole AI has really turned a lot of the technology around in
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terms of it's adding
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a
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layer on top of technology.
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And what it does is is is being able to
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I don't want to say think
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for me, which some people might think that's an improvement, but it's
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it's the
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it's the ability to to to
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to
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have uh a third set of eyes uh on on reviewing my assumptions or my beliefs
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or challenge what I'm thinking or saying.
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It's like having another team member.
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Yeah, it's interesting
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because I think
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I think we should say first off,
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even before we get into
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some of the the definite benefits
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But
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AI is controversial and and beekeepers are all about controversy.
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I mean it could be uh
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people could be
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definitely against AI because of the environmental impacts of using
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the the AI
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to
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to um
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to answer questions that maybe they could have figured out themselves
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or um
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people are
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are worried about AI taking jobs away.
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And so there are there are some definite
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concerns, environmental and
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personnel
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and
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um
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and also
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AI is not always right.
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And
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and
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no
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and one of and one of my
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my favorite
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just
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when I've been doing these comf
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having these conversations, trying to figure out exactly how how AI
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might work for beekeepers.
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I
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I laugh
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because th the
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the AI chatbot
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will often refer to itself as a beekeeper.
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And so I'll be like
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So do you really keep these?
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And and it would say, oh, I shouldn't have said that, and it'll kind of correct itself and and and just talk about uh the access that that it has to
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information.
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But
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but there will be definite
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I I have
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called
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I've called AI
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on a number of of
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just
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statements that it just aren't aren't true.
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So that's
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that's kind of the negative.
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But like why don't you share
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maybe some of the positive that you've found?
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Well,
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before we
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even
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talk about the the positive things about
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it, I just want to
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restate that we're not looking to
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replace
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Training with
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AI.
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Training does uh
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an AI does not take place over a good mentor
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Uh it doesn't take
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uh
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take over
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take place of a I don't know, I'll say a good book.
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Oh, there you go.
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Exactly.
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Or
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nor does it take over a good
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podcast.
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it is
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it it it be
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it can become an assistant or
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suppl
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supplement
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to
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those other
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well-founded sources of of beekeeper
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information.
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The
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the things that AI does well, it can
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it likes to create spreadsheets.
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So
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if
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if you like to do
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if you like to keep track of things in spreadsheets or tables
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It can do that.
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So like for mic counts.
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So if you want to do
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mic count, let's say you're doing OAV
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vapors or you're doing anything
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and you're going to do
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mic washes or mic counts.
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Instead of keeping them on a piece of paper, it can, you can enter into
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chat, have it
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develop a
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spreadsheet or a table.
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And it can keep track of that for you.
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So, you know, your
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an initial wash, your
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initial drop, 24 hours, 48, 72
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And and and you can keep track of that by hive, and then you can do all sorts of graphs or do whatever else you want to or do nothing with it.
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It can also
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help organize your
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your thoughts.
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So if you were to
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uh go through your hive and
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and do
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inspections, you can talk into your recorder on your mobile device, your phone, and
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have
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that translated
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and then give that to chat and chat can organize that into hive inspections.
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And there's in fact
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applications for
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phones that will do that for you, such as our friends at HiveTracks
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now have that capability
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There are many good things that AI can do for a beekeeper in the bee yard and once they get home
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at uh
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in their home office.
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I I like that AI has access to all the scientific research literature out there
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and all the extension literature out there.
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So
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they
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they go deep as far as uh
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if you are looking for a specific citation
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or you heard something
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You can sometimes get to the bottom of it by asking AI to find that reference
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and then you can know it where
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you know
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a certain honey bee fact or management idea came from.
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I also
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I like
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the fact that
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it's very good at statistics
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and
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and so that's a that's something uh
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I haven't used a lot, but it's just it's so
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it's very, very powerful as far as that's concerned.
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It's
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so interesting.
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that I think with beekeeping, we're just at the very beginning of
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figuring out how to use AI
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for beekeeper benefit.
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You can go into a chat bot right now
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and you can say, I'm looking into potential grant funding
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for
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uh honey bee research.
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And
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and you can it
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can come up with different sources of uh
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or or maybe you want to look for grant funding for habitat planting.
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And you can actually look for resources that will help you get there.
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And then
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Jeff, the crazy thing is you can actually ask chat or another AI chatbot to help you write that grant.
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So
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it's just
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it it really does save people
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some
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some time, but you have to make sure that you your eyes are on it
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to make sure that
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It's not making anything up.
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Always, always, always treat them as
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maybe a student or an intern.
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So
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you ask them to do some information, but you always
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double check it and make sure it's it's
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it's correct
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because if you go out there and say, hey, I did this
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and ask, I don't know, some of those at
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attorneys that may have
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you know, made the news by
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preparing legal briefs by chat.
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Um
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that
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it's it it can make things up.
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So you don't want to put your name
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yeah.
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And and you can ask all the chat bots, you know, w
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name your reference.
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Give me the reference that you are citing for this, and then double check those.
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Because they hallucinate and they make things up.
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And I
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we're only gonna we're only kinda talking about that first article.
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I I do wanna for sure talk about the second article that I ha I
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put together for
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bee culture eventually.
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But but what I will say is that f
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when
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I
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ha
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wrote both of those articles, I was always very careful to also ask
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Ask the AI chatbots, how do I reference you?
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Because I think that one of the best ways to use AI is not secretly, and to to make sure that we we give it credit.
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just
00:09:13.700 --> 00:09:14.340
so that
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you don't get in trouble
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for either y
00:09:17.540 --> 00:09:21.380
saying something that maybe isn't true or you also just
00:09:21.700 --> 00:09:25.220
acknowledge it kind of show your work if that makes sense.
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And
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I
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I
00:09:27.400 --> 00:09:36.040
I do believe that there are um, you know, maybe not in some classes, some, you know, high school classes or college classes, but I I believe that
00:09:36.200 --> 00:09:36.520
that
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There are a lot of different places where using AI is is very acceptable
00:09:41.380 --> 00:09:44.420
as far as putting together, for example, a grant application.
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I don't think that everybody thinks that's a bad thing.
00:09:47.740 --> 00:09:48.620
And I think
00:09:48.780 --> 00:09:53.500
I think if you can figure out how to communicate more clearly using
00:09:53.820 --> 00:09:54.140
that
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technology, that's fantastic.
00:09:56.780 --> 00:09:59.100
I think that that that can be really helpful.
00:09:59.100 --> 00:09:59.740
I'm curious
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how did
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how did
00:10:01.520 --> 00:10:04.160
the chat bot tell you how to reference it so
00:10:04.640 --> 00:10:06.880
reference the information it provided you
00:10:07.360 --> 00:10:07.920
it's
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I I'd have to oh you
00:10:10.400 --> 00:10:11.120
you asked me a question.
00:10:11.120 --> 00:10:12.000
I wish I had it in front of me
00:10:12.160 --> 00:10:12.480
Jeff
00:10:12.640 --> 00:10:12.800
It
00:10:13.120 --> 00:10:15.200
it it's funny because in in some
00:10:15.360 --> 00:10:16.560
some instances
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it
00:10:17.680 --> 00:10:17.920
it
00:10:18.160 --> 00:10:21.520
told me I didn't need to, but I always said I wanted to.
00:10:21.520 --> 00:10:27.360
I so I've done a number of different chatbots and it would give me the chatbot name.
00:10:26.640 --> 00:10:29.680
and then sometimes the company name.
00:10:29.680 --> 00:10:30.000
And
00:10:30.160 --> 00:10:31.040
and if I
00:10:31.200 --> 00:10:31.520
right
00:10:31.840 --> 00:10:36.240
there was there was one where I I looked, I had it made it make an illustration.
00:10:36.360 --> 00:10:42.600
that I'll talk about later, but I gave it a picture, an imperfect picture, because there was a beautiful honey bee, but it was on
00:10:42.760 --> 00:10:44.840
it was on half of a flower.
00:10:44.839 --> 00:10:48.120
It fixed the flower in the in the picture.
00:10:48.120 --> 00:10:50.120
But then when I asked it to credit
00:10:50.279 --> 00:10:53.720
to credit, you know, for the for the illustration, it credited
00:10:53.940 --> 00:10:54.180
um
00:10:54.340 --> 00:10:54.820
itself
00:10:55.140 --> 00:10:56.100
and then it said
00:10:56.260 --> 00:10:56.900
with um
00:10:57.140 --> 00:11:00.420
with the photo provided by Rebecca Masterman or something
00:11:00.580 --> 00:11:01.300
something like that.
00:11:01.300 --> 00:11:03.460
So but it it it kind of it kind of gave
00:11:03.740 --> 00:11:05.340
Just some some good guidance.
00:11:05.340 --> 00:11:11.660
But I will say, and this is so hard as a writer because I write monthly for bee Culture, and I've never used
00:11:12.140 --> 00:11:14.700
I've never used AI for writing because
00:11:14.860 --> 00:11:15.420
it's too sc
00:11:15.820 --> 00:11:16.780
it's too scary
00:11:17.020 --> 00:11:17.180
because
00:11:17.740 --> 00:11:18.700
what happens is
00:11:18.860 --> 00:11:21.340
even in when I'm asking chat and
00:11:21.500 --> 00:11:26.860
or or the other AI chatbots, I I was really upfront about what I was doing as far as writing articles.
00:11:27.000 --> 00:11:27.720
But um
00:11:28.040 --> 00:11:29.560
and looking for quotes.
00:11:29.560 --> 00:11:34.680
And so but it was it was funny because it immediately wanted to write the whole article for me.
00:11:34.680 --> 00:11:38.199
It immediately laid it out and it told me what to say.
00:11:38.060 --> 00:11:39.500
And I kept saying, No, I
00:11:39.660 --> 00:11:41.980
I want to just say what your answers are.
00:11:41.980 --> 00:11:43.420
I don't want you to write the article.
00:11:43.420 --> 00:11:43.740
But it
00:11:43.900 --> 00:11:45.900
it became really clear that it's
00:11:46.240 --> 00:11:46.480
it's
00:11:46.800 --> 00:11:50.480
it's very ready and it's almost trained to write for you
00:11:50.640 --> 00:11:52.320
because I would just have to ignore it
00:11:52.480 --> 00:11:53.680
kept telling me
00:11:53.920 --> 00:11:56.480
how to say it and it also would like tell me how to
00:11:56.640 --> 00:11:57.680
how to do the article
00:11:57.840 --> 00:11:59.520
and I just kept ignoring that
00:11:59.760 --> 00:12:00.080
because
00:12:00.320 --> 00:12:04.240
I I wanted to make sure that it was me writing the article
00:12:04.400 --> 00:12:06.640
and and and not AI.
00:12:06.640 --> 00:12:07.680
But I think that's
00:12:07.840 --> 00:12:09.520
it's just interesting because I I f
00:12:09.860 --> 00:12:16.740
Finally, Jeff, I finally found a great place for any kind of a typo or misspelling that that are in my articles.
00:12:16.740 --> 00:12:19.460
They're just proof that I'm the one writing them.
00:12:21.040 --> 00:12:23.040
This is how you can verify this is not AI.
00:12:23.279 --> 00:12:23.839
Find the error.
00:12:23.920 --> 00:12:24.800
Find the find the
00:12:24.959 --> 00:12:26.800
comma that's not supposed to be there.
00:12:26.800 --> 00:12:27.760
Go ahead.
00:12:27.839 --> 00:12:28.720
That's true.
00:12:29.740 --> 00:12:30.220
Well we
00:12:30.460 --> 00:12:31.660
we've talked about
00:12:31.900 --> 00:12:33.980
where it's AI can be used
00:12:34.220 --> 00:12:35.020
real briefly
00:12:35.180 --> 00:12:42.060
and and we've real briefly talked about some of the the cautionary tales about AI, it hallucinates, it can make things up.
00:12:41.940 --> 00:12:43.220
it can assume
00:12:43.460 --> 00:12:46.420
things that you may or may not have told her.
00:12:46.420 --> 00:12:52.980
What do you like to do with AI when you're using it to make sure that you receive the information?
00:12:52.839 --> 00:12:53.800
that you can
00:12:53.959 --> 00:12:56.519
lean on or that that you can believe in?
00:12:56.519 --> 00:12:57.560
That's a good question.
00:12:57.560 --> 00:12:59.800
I'm very nervous about the information.
00:12:59.800 --> 00:13:01.480
I've actually had AI
00:13:01.639 --> 00:13:06.199
translate an article for me that was in old German.
00:13:06.279 --> 00:13:06.600
And
00:13:07.160 --> 00:13:09.160
and and very carefully
00:13:09.560 --> 00:13:09.880
because
00:13:10.519 --> 00:13:12.519
it had to be reined in
00:13:12.760 --> 00:13:13.640
and and it it
00:13:13.880 --> 00:13:14.920
and when I would
00:13:15.220 --> 00:13:20.020
I would clarify, are you sure that that there's a sentence that says this?
00:13:20.020 --> 00:13:22.980
Sometimes it would take a step back and say, well, I
00:13:23.220 --> 00:13:27.060
I kind of provided an interpretation, but here's what it said.
00:13:26.860 --> 00:13:30.940
So it it will give you the information, but you do have to
00:13:31.260 --> 00:13:31.580
really
00:13:31.900 --> 00:13:33.180
make sure that
00:13:33.420 --> 00:13:34.460
it's not
00:13:34.740 --> 00:13:36.980
literally just telling you what you want to hear
00:13:37.300 --> 00:13:37.620
because
00:13:37.780 --> 00:13:40.260
that I don't I haven't found the setting.
00:13:40.260 --> 00:13:41.620
I haven't looked for it.
00:13:41.620 --> 00:13:42.500
But but the
00:13:42.660 --> 00:13:48.580
if people have never used a chatbot before, you will find them to be very friendly
00:13:48.720 --> 00:13:51.520
and you will find them to be very engaging
00:13:51.760 --> 00:13:56.080
and there are settings where you can take it down a notch or two
00:13:56.320 --> 00:13:56.960
so that
00:13:57.160 --> 00:13:59.720
it doesn't seem like it's trying to have a relationship with you
00:13:59.880 --> 00:14:01.720
or it's friends with you.
00:14:01.720 --> 00:14:04.440
But I finally got a chatbot to start swearing.
00:14:04.440 --> 00:14:06.600
So I kind of think that's a victory.
00:14:07.640 --> 00:14:07.960
But
00:14:08.900 --> 00:14:09.700
Oh, there's a
00:14:10.580 --> 00:14:11.220
goal.
00:14:11.220 --> 00:14:11.780
Wait.
00:14:12.020 --> 00:14:13.300
Okay, sorry everybody.
00:14:13.300 --> 00:14:14.420
But it I thought it was kind of like
00:14:14.580 --> 00:14:15.060
whoa.
00:14:15.060 --> 00:14:15.220
But
00:14:15.380 --> 00:14:16.980
but I do think it's um
00:14:17.620 --> 00:14:17.779
It
00:14:17.940 --> 00:14:18.260
it's
00:14:18.580 --> 00:14:21.380
making sure you're you're going back and asking the question.
00:14:21.380 --> 00:14:23.140
If you see something that maybe doesn't see
00:14:23.300 --> 00:14:24.580
that seems too easy or
00:14:24.820 --> 00:14:27.860
too good to be true, questioning it makes sense.
00:14:27.860 --> 00:14:29.940
And I I will say for that article
00:14:30.320 --> 00:14:32.640
When I asked the Chapot
00:14:33.040 --> 00:14:38.640
to, for example, look at a picture of something that was going on in the colony, it got it wrong.
00:14:38.640 --> 00:14:41.840
It it made some guesses and I get why it did it.
00:14:41.740 --> 00:14:44.860
But but it it did not see what I was actually seeing.
00:14:44.860 --> 00:14:45.420
And so
00:14:45.660 --> 00:14:48.140
don't believe everything you read.
00:14:48.220 --> 00:14:48.540
Well, I
00:14:48.780 --> 00:14:52.380
just real quick along those lines and to support what you're saying.
00:14:52.380 --> 00:14:54.140
This last summer I thought
00:14:54.420 --> 00:14:56.339
Hey, I'm gonna try this with
00:14:56.500 --> 00:14:57.300
with chat
00:14:57.459 --> 00:14:57.779
and uh
00:14:58.019 --> 00:14:58.100
because
00:14:58.259 --> 00:14:59.060
I when I do my
00:14:59.220 --> 00:15:00.660
look at my IPM boards,
00:15:00.980 --> 00:15:02.500
I'll often take a picture of them.
00:15:03.060 --> 00:15:03.140
And
00:15:03.300 --> 00:15:08.660
and then go home when I'm later in the evening or later in the day, I'll go and look at it on on the big screen
00:15:08.820 --> 00:15:10.580
on the computer, and then I can count the mites
00:15:10.740 --> 00:15:13.140
a little bit better, especially if it's about to rain.
00:15:13.140 --> 00:15:13.380
And
00:15:13.540 --> 00:15:13.860
so
00:15:14.520 --> 00:15:20.600
I thought, hey, I can take these photos and give them to Chat and say, count the mites
00:15:20.760 --> 00:15:21.400
for me.
00:15:21.480 --> 00:15:23.480
So I said, Chat, can you do this?
00:15:23.480 --> 00:15:24.520
Oh yes, my friend
00:15:24.680 --> 00:15:26.920
Jeff, I can do that very well.
00:15:26.959 --> 00:15:28.880
And I said, well, great, buddy
00:15:29.040 --> 00:15:29.600
chat.
00:15:29.600 --> 00:15:32.000
Let's let's I'm gonna start feeding you these photos.
00:15:32.000 --> 00:15:33.760
And it says, do it, man, do it.
00:15:33.760 --> 00:15:35.519
I can do all of this for you.
00:15:35.400 --> 00:15:37.480
And I said, Chat, you're my best pal.
00:15:37.480 --> 00:15:38.120
And so I
00:15:38.280 --> 00:15:39.560
I got this going
00:15:39.720 --> 00:15:42.520
and and I and I was feeding it to Chat and Chat, oh this is great.
00:15:42.520 --> 00:15:43.320
This is great, Jeff.
00:15:43.320 --> 00:15:44.120
This is really good.
00:15:44.120 --> 00:15:45.240
This is the number here.
00:15:45.240 --> 00:15:45.400
Uh
00:15:45.560 --> 00:15:48.760
in fact what I'm doing, I'm gonna tell you the number I count
00:15:48.640 --> 00:15:50.160
And that I'm definite
00:15:50.480 --> 00:15:50.720
or
00:15:50.880 --> 00:15:52.080
are are mites.
00:15:52.080 --> 00:15:54.960
And then I'll tell you what I think might be mites, but I'm not sure.
00:15:54.960 --> 00:15:55.680
So those are un
00:15:55.920 --> 00:15:56.560
unsure.
00:15:56.560 --> 00:15:57.120
All right.
00:15:57.120 --> 00:15:57.520
I said,
00:15:57.680 --> 00:16:00.400
chat, man, you are the best.
00:16:00.259 --> 00:16:02.100
And I'm not even paying you for this.
00:16:02.100 --> 00:16:02.259
And
00:16:02.660 --> 00:16:02.899
And
00:16:03.060 --> 00:16:04.660
chat was like, Yeah, yeah, yeah,
00:16:04.899 --> 00:16:05.459
let's do it.
00:16:05.459 --> 00:16:06.259
Give 'em to me.
00:16:06.259 --> 00:16:09.139
So I got back and then I started looking at him, looking at him, and I said, Well
00:16:09.720 --> 00:16:10.680
What hey chat
00:16:10.840 --> 00:16:13.560
can you go back through this and circle the mites?
00:16:13.560 --> 00:16:14.120
Uh-huh.
00:16:14.120 --> 00:16:16.280
Oh yes, I can do that, Jeff.
00:16:16.280 --> 00:16:18.520
I'd I want to make you happy, Jeff.
00:16:18.520 --> 00:16:19.400
I said, great.
00:16:19.400 --> 00:16:19.560
Let's
00:16:19.720 --> 00:16:20.920
I'm looking forward to it.
00:16:20.600 --> 00:16:20.759
So
00:16:20.920 --> 00:16:24.759
chat sent me back this picture and all these little blue circles on it and I started looking for
00:16:25.000 --> 00:16:25.079
little
00:16:25.240 --> 00:16:26.120
blue circles.
00:16:26.120 --> 00:16:29.160
There was nothing in the center of those little blue circles.
00:16:29.160 --> 00:16:30.600
Zero, zero mites.
00:16:30.600 --> 00:16:32.199
Mites all over the place.
00:16:31.940 --> 00:16:33.540
I said, well, chat, and
00:16:33.700 --> 00:16:37.940
so I sat down there and painsakingly did red circles around all the real mics that I could
00:16:38.100 --> 00:16:38.420
find.
00:16:38.660 --> 00:16:40.900
I I said, Chat, take a look at this.
00:16:40.900 --> 00:16:42.660
These are the real mics.
00:16:42.459 --> 00:16:44.220
And so I sent it back to chat and chat
00:16:44.459 --> 00:16:44.540
sent
00:16:45.260 --> 00:16:45.420
sent
00:16:45.660 --> 00:16:49.500
writes back to me and says, Oh, well, I might have
00:16:49.980 --> 00:16:51.420
maybe I'm not doing it right.
00:16:51.420 --> 00:16:53.500
Let me take another look at this.
00:16:53.259 --> 00:16:53.339
And
00:16:53.500 --> 00:16:53.980
then it it
00:16:54.300 --> 00:16:54.620
you know,
00:16:54.779 --> 00:16:55.420
the little alliance
00:16:55.579 --> 00:16:55.660
is
00:16:55.819 --> 00:16:58.139
thinking, thinking, thinking, thinking, thinking.
00:16:58.139 --> 00:16:58.380
And it
00:16:58.540 --> 00:17:01.740
kinda finally comes back and says, I can't do that.
00:17:04.140 --> 00:17:04.780
And so
00:17:04.939 --> 00:17:05.980
it's like, well,
00:17:06.220 --> 00:17:08.060
WTF chat, I
00:17:08.220 --> 00:17:15.500
we've spent all this time and you're doing all these spreadsheets and everything and you're just making this stuff up and the chat says, you know
00:17:16.060 --> 00:17:19.260
I I can't do that, it's beyond my capabilities, and it's just like
00:17:20.140 --> 00:17:21.420
you could have led with that, Jack.
00:17:21.420 --> 00:17:21.740
Oh that's
00:17:21.980 --> 00:17:23.100
you could have led with that.
00:17:23.100 --> 00:17:23.420
So
00:17:23.839 --> 00:17:24.880
Folks,
00:17:25.280 --> 00:17:26.799
as we wrap up the first
00:17:26.959 --> 00:17:27.280
segment
00:17:27.600 --> 00:17:30.799
of many on AI, there's a couple things is that
00:17:31.039 --> 00:17:32.160
chat is a tool.
00:17:33.040 --> 00:17:33.280
like
00:17:33.440 --> 00:17:35.440
anything else that's in your hive
00:17:35.680 --> 00:17:37.120
in your hive bucket or
00:17:37.280 --> 00:17:38.800
in your toolbox.
00:17:38.800 --> 00:17:39.680
And and its
00:17:39.840 --> 00:17:44.640
effectiveness is only as good as the tool is designed and how you use it.
00:17:44.640 --> 00:17:45.120
And so it
00:17:45.919 --> 00:17:47.120
It's not magic.
00:17:47.120 --> 00:17:48.799
It's not God in a box.
00:17:48.799 --> 00:17:51.440
It's it is a tool.
00:17:51.440 --> 00:17:51.760
And
00:17:52.080 --> 00:17:52.320
and
00:17:52.480 --> 00:17:53.120
and it's
00:17:53.740 --> 00:17:56.380
You have to use it very carefully and judiciously
00:17:56.620 --> 00:17:57.020
and m
00:17:57.260 --> 00:17:58.540
and don't trust it.
00:17:58.540 --> 00:17:59.420
Don't trust it.
00:18:04.820 --> 00:18:04.980
And
00:18:05.140 --> 00:18:05.380
you've
00:18:05.620 --> 00:18:07.460
said some very, I think, wise words
00:18:07.620 --> 00:18:09.380
is that that it's evolving.
00:18:09.380 --> 00:18:09.620
So
00:18:09.940 --> 00:18:11.860
so the capacity for chat
00:18:12.020 --> 00:18:14.580
or an AI bot to circle those mites
00:18:14.840 --> 00:18:15.000
Is
00:18:15.160 --> 00:18:16.840
going to change over time.
00:18:16.840 --> 00:18:17.080
And
00:18:17.400 --> 00:18:21.240
it's going to get better at looking at pictures and it's going to get better at
00:18:21.400 --> 00:18:23.240
figuring out what it's looking at.
00:18:23.240 --> 00:18:24.280
There's no
00:18:24.520 --> 00:18:25.160
doubt
00:18:25.480 --> 00:18:25.799
that
00:18:26.480 --> 00:18:26.800
in
00:18:27.040 --> 00:18:27.280
ten
00:18:27.440 --> 00:18:28.720
years, every I think
00:18:28.960 --> 00:18:32.480
beekeeping course is going to talk about the use of AI.
00:18:32.480 --> 00:18:38.560
I I think it's just it's it's a tool that we're just starting to talk about, but it's really important
00:18:38.880 --> 00:18:39.520
that we
00:18:39.840 --> 00:18:40.160
we
00:18:40.720 --> 00:18:46.800
start figuring out some guidance and start figuring out some of the great possibilities um
00:18:46.960 --> 00:18:49.120
that we have using AI.
00:18:49.120 --> 00:18:52.240
I agree and I look forward to exploring AI more in
00:18:52.400 --> 00:18:52.880
future
00:18:53.140 --> 00:18:54.180
AI shorts
00:18:54.420 --> 00:18:54.740
and
00:18:54.980 --> 00:18:55.300
um
00:18:55.540 --> 00:18:55.860
yeah
00:18:56.020 --> 00:18:56.580
this will be good
00:18:56.740 --> 00:18:57.620
and if folks if you
00:18:57.780 --> 00:19:02.340
if you're sitting there and you have an idea about what you wanted to hear us talk about on these future
00:19:02.500 --> 00:19:03.460
in this series
00:19:03.700 --> 00:19:04.580
let us know
00:19:04.740 --> 00:19:06.660
and uh and if you have any fun stories
00:19:06.820 --> 00:19:07.060
let
00:19:07.220 --> 00:19:07.700
send us a note
00:19:08.220 --> 00:19:08.300
to
00:19:08.460 --> 00:19:08.620
and
00:19:08.780 --> 00:19:09.900
maybe can use those.
00:19:09.900 --> 00:19:10.140
Thank you
00:19:10.300 --> 00:19:11.660
Becky for joining today.
00:19:11.660 --> 00:19:14.060
Absolutely this was a lot of fun.
00:19:15.020 --> 00:19:16.300
Now I gotta ask Chad
00:19:16.460 --> 00:19:18.700
about how I end this episode.
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