For anyone following the progression of AI: I don't understand how or why prompt engineering is being regarded as a viable, long-term skill set. I'll explain and then hope to get your input.
In this video, Kasim shares his prediction on prompt engineering and how it can become less and less important as AI becomes more and more powerful. Given the speed at which it is already improving, Kasim predicts that prompt engineering is already headed for near-term obsolescence.
What do you think? Is there a long-term role for prompt engineers? We'd love to hear your thoughts!
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0:00 The Future of Prompt Engineering
0:54 The issue with Prompt Engineering
2:53 Prompt engineering is heading for obsolescence
5:47 Is this gonna be a real job?
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I have an unpopular opinion, and I'm interested to
2
:see how well this video ages.
3
:Because maybe I just get nailed.
4
:I think that prompt engineering
is not the wave of the future
5
:that everybody believes it to be.
6
:For the sake of the discussion,
we'll first define terms.
7
:I took a semi definition
from GetConnected.
8
:The goal of prompt engineering is to
control the output of the language model,
9
:or AI tool, by providing it with specific
context, constraints, rules, and so on.
10
:the problem.
11
:From my perspective, a gold
rush on prompt engineering.
12
:There's courses and training
and books and videos.
13
:It's unbelievable to me how quickly
all that crap came out, by the way.
14
:It's actually a marvel.
15
:Like, I'm impressed at us as a community.
16
:Info marketers who are like,
just, I mean, talk about, wow.
17
:Here's the issue.
18
:Prompt engineering is predicated
on the idea that AI tools
19
:are simple and fallible.
20
:And that's true for now.
21
:The problem is, is, is AI tools
are also, if this isn't something
22
:that we've ever encountered before.
23
:And so the idea, the concept of product
engineering is, based on a paradigm that.
24
:It looks at AI like software,
and AI is not software.
25
:Software doesn't allow for dynamic,
iterative, and in many cases, growth.
26
:That's the real word that I want there.
27
:Compounding growth.
28
:These AI tools are learning, and
they're learning at record rates.
29
:It's unbelievable to see the
improvements, truly unbelievable.
30
:So and these improvements
are all being crowdsourced.
31
:that means that it's not just
learning from you, it's learning
32
:from everybody, and then taking
what it's learned from everybody...
33
:And then delivering for you.
34
:every identifiable mistake any
AI ever makes with anyone only
35
:needs to be made once, ostensibly.
36
:Now obviously there's going to be
some repetition and might need to
37
:reach critical mass before it even
acknowledges anything as a mistake.
38
:But what that means is, as AI gets
smarter, the need for specific
39
:context and constraints and
rules becomes less necessary.
40
:Now, that doesn't mean that
prompt engineering becomes...
41
:less necessary, it means that
the skill becomes less difficult.
42
:It's like driving.
43
:Everybody needs to know
how to drive, right?
44
:Depending on where you live.
45
:But everybody in a, drivable
city needs to know how to drive.
46
:But as cars get easier to
drive, that skill becomes less
47
:important and less valuable.
48
:And as AI becomes smarter, that
skill becomes less valuable.
49
:And given at the speed at which it's
already moving, which blows my mind
50
:by the way, I think prompt engineering
is headed for near term obsolescence.
51
:That's the problem.
52
:It's not that we don't need...
53
:Prompts it's that we don't need
engineering the engineering component
54
:of the prompt engineering Construct
is based off of the idea that the AI
55
:isn't going to be able to intuit what
it is that you want When in fact, that's
56
:more or less the reason the AI exists
57
:We're not gonna need the AI is going
to start prompting us It's gonna
58
:get so good and in some instances
to some of the conversations.
59
:I have a chat GPT are not entirely just
yet, but lean in the direction of...
60
:Equal prompting, in order for chat
GPT to deliver on what it is that I'm
61
:really asking, it requires clarity
and it's actually asking for that
62
:clarity and as it gets better at
understanding, from prompt to completion,
63
:this was the sequence of events.
64
:It's like Google's path to purchase.
65
:It knows like, okay, this is
what you're really asking.
66
:And it will begin to engineer
the prompts on your behalf.
67
:I'd like to make a soft landing
and say that I still think that
68
:humanity's last bastion is creativity.
69
:We still need to offer the machine intent.
70
:And even for machines that can
be creative, some of imagery that
71
:Midjourney can come up with is
unbelievable, but you have to ask for it.
72
:You have to ask for it.
73
:I want a water bottle that looks
like the queen's face being poured
74
:out of the hand of a small nun.
75
:In the sky on a hot air balloon
at sunset over the ocean and then
76
:the AI is like, boom, here you go.
77
:almost instantly.
78
:It's amazing.
79
:But you have to come up with that.
80
:You have to come up with that.
81
:and what's interesting is that
image that I'm looking for right
82
:now today probably would take some
massaging and some prompt engineering.
83
:you might need to say like
the sunset needs to be at this
84
:aperture and we need to put the
imagery style or type or whatever.
85
:but again, over time, I think that the
prompt engineering is going to get less
86
:and less necessary as the AI mechanisms
get more and more sophisticated.
87
:So, and again, I'm not saying
that you don't need it.
88
:It's like Google search.
89
:I'm really good at searching on Google.
90
:I know that sounds like a weird
thing to say, but there's like,
91
:nuances to search creativity.
92
:And what words you use and how you use it
and how familiar you are with the product.
93
:But I'd never make a living searching
on Google better than others.
94
:Right?
95
:Like, maybe I'd get a
little bit better at my job.
96
:But it's not this role that
people are going to be hiring for.
97
:I feel the same way
about prompt engineering.
98
:I'd be really careful about
hanging your hat on that peg.
99
:I'd be interested in
knowing what you think.
100
:Do you think this is
going to be a real job?
101
:and it's unfair for you to say, let me
just, scaffold the argument a little bit.
102
:You can't say, well, yes,
for software engineers.
103
:That's not what we're talking about.
104
:That's not prompt engineering anymore.
105
:That's software engineering
using AI, right?
106
:the minute you say, well, yeah, it's
going to be great for graphic design,
107
:like a graphic designer is going
to have to know prompt engineering.
108
:No, a graphic designer is going
to have to know graphic design.
109
:That's different.
110
:Knowing, this theme, this
style, this color, this mix,
111
:this opacity, like, that's not
prompting, that's graphic design.
112
:So, prompt engineering specifically,
and all the nomenclature and the
113
:semantics and the AI driven jargon,
I don't think that becomes, I think
114
:that's, doomed to fail as a role.
115
:The same way, I mean, if you look at,
some of the more basic and rudimentary
116
:forms of coding now, coding back in
the day, man, you needed to know like
117
:syntax and now it's, basic language
and now you just need to know logic.
118
:So fight me in the comments.
119
:I'll talk to you tomorrow.