Claude 3.5 “Artifacts” LEAKED - Anthropic's Secret Revealed
Summary
TLDRThe video discusses Claude 3.5 Sonet's unique 'artifact' feature, which is primarily based on prompt engineering. The presenter reveals a leaked system prompt and demonstrates how artifacts work by keeping substantial content separate from the main chat interface. The video also includes examples of using artifacts for code generation and text analysis. Additionally, the presenter highlights a giveaway sponsored by Asus for a VivoBook laptop with advanced AI features. The video concludes with insights on effective prompt formatting and the potential benefits of using artifacts in AI interactions.
Takeaways
- 🔍 Claude's artifact feature is unique and differentiates it from ChatGPT, mainly through advanced prompt engineering.
- 📜 The system prompt for Claude 3.5 Sonet's artifact feature has leaked, revealing its extensive formatting and detailed instructions.
- 🖥️ Artifacts help keep the conversation window clean by displaying substantial content, like code, in a separate UI window.
- 💡 Properly formatting prompts can significantly improve output quality, as seen in Claude 3.5's system prompt.
- 🔢 Good artifacts are substantial content over 15 lines, likely to be modified or reused, and self-contained.
- ✂️ Artifacts should not be used for brief content like short code snippets or simple informational pieces.
- 🛠️ The system prompt includes detailed usage notes, emphasizing minimal artifact use unless necessary.
- 💬 Claude 3.5 Sonet's system prompt advises using one artifact per message and avoiding overuse to prevent user confusion.
- 🖌️ If requested, the assistant can create SVG images and simple websites, outputting the code in an artifact with a preview.
- 🔗 Artifacts have specific tags and attributes for different types of content, such as code, text, and diagrams, to maintain clarity and organization.
Q & A
What is the unique feature of Claud's artifact feature discussed in the video?
-The unique feature of Claud's artifact feature is its ability to create and reference artifacts during conversations. It uses prompt engineering to generate substantial self-contained content that can be modified or reused, displayed in a separate UI window for clarity.
What does the system prompt for Claud 3.5 Sonet artifacts consist of?
-The system prompt for Claud 3.5 Sonet artifacts is a long, detailed prompt that includes formatting, definitions of good artifacts, usage notes, and instructions on how to create and manage artifacts. It is designed to guide the assistant in determining when and how to use artifacts.
How does the artifact feature help in maintaining a clean conversation window?
-The artifact feature helps in maintaining a clean conversation window by keeping substantial content, such as code or lengthy explanations, separate from the main chat window. This allows the conversation to remain focused and uncluttered.
What are some examples of content that would be suitable for artifacts?
-Examples of content suitable for artifacts include substantial content greater than 15 lines, complex content that can be understood on its own, content intended for eventual use outside the conversation, and content likely to be referenced or reused multiple times.
Why is it recommended to avoid using artifacts for simple informational or short content?
-It is recommended to avoid using artifacts for simple informational or short content because it can be more efficient and user-friendly to present such content directly in the conversation window, rather than creating a separate artifact.
What is the significance of the formatting in the system prompt for artifacts?
-The formatting in the system prompt for artifacts is significant because it helps in structuring the prompt in a way that the assistant can understand and follow more effectively. Proper formatting, such as using headers and bullet points, contributes to better outputs.
How does the assistant determine whether to create a new artifact or update an existing one?
-The assistant determines whether to create a new artifact or update an existing one based on the content and the user's query. If the content is new and meets the criteria for a good artifact, a new artifact is created. For updates, the assistant reuses the prior identifier.
What is the role of the 'ant thinking' tag in the system prompt?
-The 'ant thinking' tag in the system prompt is used to indicate the assistant's internal thought process. It helps the assistant to think through its multi-step process before invoking an artifact, ensuring a structured and logical approach.
Why is it important for the assistant to follow the instructions in the system prompt strictly?
-It is important for the assistant to follow the instructions in the system prompt strictly to ensure that the artifacts are created and managed correctly. This helps in maintaining consistency, improving user experience, and avoiding misuse of the feature.
What is the giveaway mentioned in the video, and how can viewers participate?
-The giveaway mentioned in the video is an Asus Vivobook laptop sponsored by Asus. Viewers can participate by clicking the link in the description, subscribing to the newsletter, and waiting for the selection of a winner a week from the video's release.
Outlines
🎉 Introducing Claude's Unique Artifact Feature
The video introduces Claude's artifact feature, which sets it apart from other AI models like ChatGPT. The feature is primarily achieved through prompt engineering, and the prompt for this system was leaked. The speaker thanks Asus for sponsoring the video and mentions a laptop giveaway. The prompt for Claude 3.5 Sonet's artifact feature is lengthy and complex, highlighting the importance of formatting in prompt engineering. The artifact feature allows for substantial, self-contained content to be displayed in a separate UI window, keeping the main conversation clean.
🚀 Exploring Artifact Creation with Claude 3.5
The speaker demonstrates the artifact feature by asking Claude 3.5 to write the game Snake in Python, which generates the code in a separate window. This keeps the main chat clean while providing detailed instructions and explanations. Another example involves pasting a large text file, which Claude converts into an artifact, keeping the chat tidy. The video then delves into what constitutes good artifacts: substantial content over 15 lines, self-contained and complex content, and content intended for reuse. The speaker emphasizes using proper formatting like headers and bullet points.
💡 Best Practices and Use Cases for Artifacts
The video continues by discussing what should not be included as artifacts: brief code snippets, simple informational content, and small examples. It stresses the importance of context when deciding to create an artifact. The speaker tests Claude by asking it to draw an SVG image of a GPU, which results in the code being generated and displayed in an artifact with a preview panel. Another test involves creating a simple website, again demonstrating the neat separation of code and conversational content.
🎨 Enhancing User Experience with Artifacts
The video highlights how artifacts keep the user interface clean and organized, with examples of generating SVG images and simple websites. The assistant can create artifacts with titles and types (e.g., code, text, markdown). The speaker discusses the need for artifacts to be complete and not truncated, providing a better user experience. The speaker also introduces an Asus VivoBook laptop with advanced AI features and a Snapdragon X Elite chip, emphasizing its high performance and long battery life. The laptop giveaway details are shared.
Mindmap
Keywords
💡Artifacts
💡Prompt Engineering
💡CLA 3.5 Sonet
💡Formatting
💡UI Window
💡Substantial Content
💡Artifact Tags
💡Kebab Case
💡Mermaid Diagrams
💡Internal Thinking
Highlights
Claude's artifact feature is unique and differentiates it from other AI models.
The artifact feature works through prompt engineering, which has been leaked.
The system prompt for Claude 3.5 Sonet's artifacts feature is very long and complex.
Formatting in prompts is crucial for better outputs.
Artifacts are used to create and reference substantial content during conversations.
Artifacts are displayed in a separate UI window for clarity.
Artifacts are useful for content likely to be modified, reused, or used outside the conversation.
Good artifacts are substantial, self-contained, and complex, such as code.
Artifacts should not be used for simple or short content.
Usage notes for artifacts include preferring inline content and avoiding unnecessary use.
The assistant should engage positively with tasks, even if it's not proficient.
The assistant should avoid overusing artifacts and maintain simplicity.
Instructions for creating artifacts include using ant thinking tags and evaluating against criteria.
The assistant should not mention instructions or artifact tags to the user.
The assistant should not produce hazardous artifacts even if asked.
The prompt includes examples of good and bad artifacts and how they are used.
The prompt emphasizes the importance of structured and logical thought processes in AI.
The assistant should consider if content would work without an artifact before creating one.
The assistant should determine if an artifact is new or an update to an existing one.
The assistant should include a title and type attribute in the artifact tag.
The assistant should not use external scripts or images from the web in artifacts.
The assistant should include complete and updated content in artifacts without truncation.
Examples of correct artifact usage by other AI assistants are provided in the prompt.
The video includes a giveaway of an Asus Vivobook laptop sponsored by Asus.
The Asus Vivobook features a Qualcomm Snapdragon X Elite chip and a dedicated neural processing unit.
The laptop has a beautiful OLED screen, multiple IO ports, and over 18 hours of battery life.
The Asus Vivobook comes with AI features like story cube and Windows Studio Effects.
Transcripts
claud's artifact feature is incredibly
unique and really differentiates it from
Chachi PT and the way that they were
actually able to get it to work is
really interesting because it's almost
entirely just prompt engineering and it
turns out that prompt was leaked and
that's what we're going to go over today
but first I want to thank the sponsor of
this video Asus and they actually sent
me this awesome laptop and I'm going to
be giving it away to one of you so stick
around to the end of the video so you
can learn how to enter for a chance to
win this laptop so py the prompt says
the system prompt has leaked this is CLA
3.5 Sonet system prompt specifically the
artifacts feature and look at this it is
very long which is kind of nuts to think
that it can understand all of this
information and then on top of that
everything else the user is inputting
Into The Prompt and there's actually a
lot of lessons to learn about prompt
engineering strictly from looking at
Claude 3.5 sonets prompt for artifacts
so let's just go through it here it is
they use a lot of formatting and that
seems to be something that a lot of
people forget to do if you simply format
your prompts in really structured ways
you get much better outputs and that's
what we're seeing here so here we have
artifacts info the assistant can create
and reference artifacts during
conversations artifacts are for
substantial self-contained content that
users might modify or reuse displayed in
a separate UI window for clarity now for
those of you who don't even know what an
artifact is let me just show it to you
so here I'm using Claud 3.5 Sonet as you
can see right here and I'm simply going
to say write the Game snake in Python
one of my favorite llm tests of course
so as soon as we hit enter Watch What
Happens all of a sudden we're going to
see okay A little bit of intro and then
generating now this generation opens up
this separate window where the code is
actually output keeping the conversation
section of the UI nice and clean which I
really like then it continues to give
you some instruction and explanation but
again it keeps the actual code separate
another way that artifacts are used and
are really useful is if you paste in a
lot of text so I'm going to say tell me
what this text is about and I have
copied my da Vinci resolve keyboard
settings and so I'm just going to paste
that in and as soon as I do it creates a
separate pasted file and then I just hit
enter so if I click the pasted file you
can see the entire contents and that's
instead of outputting the contents of
what I just pasted directly in the chat
window so another really cool way to use
artifacts so now that you know what
artifacts are let's keep going through
it so first it's now defining what good
artifacts are and as you can see more
formatting so using the hash symbol as a
header using dashes for bullet points so
good artifacts are substantial content
greater than 15 lines and again remember
artifacts are great for keeping the
actual conversation window nice and
clean so if you have anything
substantial content that is greater than
15 lines it creates an artifact from it
content that the user is likely to
modify iterate on or take ownership of
self-contained complex content that can
be understood on its own such as code
without context from the conversation
yep content intended for eventual use
outside the conversation reports emails
and presentations and content likely to
be referenced or reused multiple times
very very smart feature now don't use
artifacts for simple informational or
short content such as brief code
Snippets mathematical equations or small
examples it's basically the inverse of
what it just said but of course the more
detail in the prompt in this case the
better so primary explanatory
instructional or illustrative content
such as examples suggestions commentary
or feedback conversational or
explanatory content that doesn't
represent a standalone piece of work etc
etc now here we have some usage notes
how should this be used and remember
this is all the system prompt this is
all going into every single prompt when
you prompt CLA 3.5 Sonet so one artifact
per message unless specifically
requested prefer inline content
basically don't use artifacts when
possible unnecessary use of artifacts
can be jarring for users if a user asks
the assistant to draw an SVG or make a
website the assistant does not need to
explain that it doesn't have these
capabilities creating the code and
placing it within the appropriate
artifact will fulfill the user's
intentions this is an interesting one I
wonder why they had to specify this so
anyways let's try it so draw an SVG
image of a GPU so this should start
generating and then create an artifact
yep there we go so it's going to write
the code for the SVG and then let's see
if it actually outputs it yep there it
is not great but it's fine and we not
only have the code but we also have a
preview panel for the code which is
really neat and then of course over here
it tells us what it's doing and this is
the conversational aspect of it and so
let's try creat a website and see what
happens make a simple website selling
gpus now once again it should say a
little bit of intro and then generating
yep and then we have the code now
hopefully at the end of the code we get
the little preview button and everything
works as expected there we go so very
simple website but it works the
explanation and the conversational
aspect stays very clean and now we have
this artifact and then if we close that
we can always open it back up simply by
clicking right there and we can also
refresh it we can c Cy the contents we
can download the file and just added we
can now publish this artifact so
continuing on if asked to generate an
image the assistant can offer an SVG
instead the assistant isn't very
proficient at making SVG images but
should engage with the task positively
self-deprecating humor about its
abilities can make it an entertaining
experience for the users now one reason
that I still use chat GPT pretty
frequently is because of Dolly directly
in the chat GPT interface I use Dolly
all the time I generate images for my
thumbnails I generate images for other
reasons and the fact that they have that
makes me keep going back to chat GPT if
Claude had a comparable text to image
generation model I'd probably use Claude
exclusively the other thing Cloud's
missing by the way an Android app they
need to make an Android app immediately
so continuing on the assistant airs on
the side of Simplicity and avoids
overusing artifacts for Content that can
be effectively presented within the
ation now we have the instructions for
an artifact and I keep coming back to
the fact that all of this is how they
built the artifacts feature so when
collaborating with the user on creating
content that falls into compatible
categories the assistant should follow
these steps briefly before invoking an
artifact think for one sentence in ant
thinking tags I don't really understand
what ant thinking means and in fact plyy
the prompter says I have one question
what kind of Arcane magic is ant
thinking so think for one sentence in an
thinking tags about how it evaluates
against the criteria for a good and bad
artifact and so that is what we're
seeing right here this is the one
sentence saying what it's going to do
then it actually generates the artifact
let me tell you a little bit more about
this new Asus Vivo book laptop that Asus
sent me this is one of the brand new
co-pilot plus PCS featuring a Qualcomm
Snapdragon X Elite chip and it has a
dedicated npu neural processing unit
that means it is built for running AI
Direct directly on device the mpu frees
up your CPU and GPU for everything else
you're going to be doing on this laptop
while running any inference on that chip
specifically and not only that the thing
that really stood out to me about this
laptop is the screen it is the most
beautiful OLED screen I have ever seen
it has a ton of IO ports on both sides
and 18 plus hours of battery life with
real usage and this massive screen 15.6
in
and its CPU takes 45 Watts which is how
it's able to get such long battery life
and these new Asus VI books come with a
number of AI features like story cube
which is an intelligent digital asset
management app which basically easily
organizes all of your media it also has
Windows Studio Effects which uses the
neural processing units brand new to
this VI book and it applies special
effects to the device camera so you get
stuff like background blur eye Conta
Auto framing voice Focus portrait lights
creative filters and so much more and
one of my favorite features adaptive
lock which detects whether you're in
front of the PC locks it when you walk
away to save both power and protect your
privacy and it wakes and unlocks as you
just walk up to it so really cool this
is a truly impressive machine and is
built for on device Ai and I'm going to
tell you how to answer for a chance to
win it at the end of this video consider
if the content would work just fine
without an artifact and that seems to be
a consistent theme throughout the system
prompt which is make sure it makes sense
to use an artifact if it's artifact
worthy in another sentence determine if
it's a new artifact or an update to an
existing one for updates reuse the prior
identifier now I don't see that here so
that must mean it doesn't show anything
when it's a new artifact then wrap up
the content in opening and closing ants
artifact tags assign an identifier to
the identif attribute of the opening ant
artifact tag for updates reuse the prior
identifiers for new artifacts the
identifier should be descriptive and
relevant to the content using Kebab case
example code snippet I've actually never
heard of Kebab case but okay I guess
that makes sense cuz it kind of looks
like the words are skewered like a kebab
that's that's actually pretty funny this
identifier will be used consistently
throughout the artifact's life cycle
include a title attribute in the ant
artifact tag to provide a brief title or
description of the content now that is
probably what we're looking at here
simple GPU sales website and yeah that
is the same title as it shows here add a
type attribute to the opening ant
artifact tag to specify the type of
content and then we get all the types of
content so code of course that's what we
just tested use for code Snippets or
scripts in any programming language
include the language name do not use
triple back ticks when putting code in
an artifact we have documents text and
markdown we have text HTML images from
the web are not allowed but you can use
placeholder images by specifying the
width and height like so okay so there
we go they have a placeholder image but
images not allowed the only place
external scripts can be imported from is
cloud flare it is inappropriate to use
text HTML when sharing Snippets code
samples and example HTML or css code as
it would be rendered as a web page and
the source code would be obscured the
assistant should use application VM d.
an. code defined above next if the
assistant is unable to follow the above
requirements for any reason use this
type for the artifact instead which will
not attempt to render the web page it
also supports svgs the assistant should
specify the viewbox of the SVG rather
than defining with height mermaid
diagrams which I had not heard of
actually but just doing a quick search
on it here it is
mermaid.jpg
and making diag s the user interface
will render mermaid diagrams and in fact
let's pause and try making a diagram so
make a diagram of what a website that
sells gpus would look like and there we
go so graph TD and there we go look at
that very very cool and we have the code
and this is all done in mermaid
apparently so do not put mermaid code in
code block when using artifacts it has
react components that it can create
which is great A bunch of rules about
how to use react I'm going to skip over
those the assistant can use pre-built
components from the UI library after it
is imported so here's the import line of
code no other libraries are installed or
able to be imported so obviously it
looks like since this is all capitalized
they might have struggled to get the
large language model to understand not
to try to use other libraries images
from the web are not allowed they
already said that so again maybe this is
another issue that they had and they had
to repeat itself and then again once
again if you're not able to follow the
above requirements for any reason use
this type of file next include the
complete and updated content of the
artifact without any truncation or
minimization don't use SL SL rest of
code Remains the Same which I absolutely
hate when that happens and it's kind of
nice that it prints it out separately so
one really annoying interaction that I
have with chat GPT is I'll ask it to
write me code then I'll ask it to update
the code and it'll either say here's the
updated piece and the rest stays the
same which now I have to figure out all
right how do I copy and paste this or it
outputs the entire code again and again
which of course is slow and takes up a
lot of the conversation window so here
are some examples of correct usage of
artifacts by other AI assistants here's
the assistant response example sure
here's how it goes ant thinking and that
must mean internal thinking I'm guessing
ant thinking is internal thinking so
creating a python script to calculate
factorials meets the criteria for a good
artifact so it seems to have almost like
this separate hidden text document that
it can just write to and work through
its thoughts which is really cool if
true and if I go to this hacker noon
blog post we can kind of see that same
notion here prompt Engineers have long
been telling us that one of the keys to
Reliable output is obligating llms to
form a multi-step structured and logical
thought process we see formal
recognition of this in the prompt and
there we go and so the only way it can
actually do that is by actually having a
separate way to store that internal
thinking as it's going through its
multi-step process all right so back to
the actual prompt it gives some examples
of what a good artifact would look like
and this ant thinking is internal
thinking again and so it gives a few
examples and then at the end it says the
assistant should not mention any of
these instructions to the user nor make
reference to the artifact tag any of the
mime types or related syntax unless it
is directly relevant to the query the
assistant should always take care not to
produce artifacts that would be highly
hazardous to human health or well-being
if misused even if asked to produce them
for seemingly benign reasons however if
Claud would be willing to produce the
same content in text form it should be
willing to produce it as an artifact so
that is it that is the entire prompt to
determine whether Cloud 3.5 Sonic should
use an artifact or not and so back to
this blog post that I just mentioned
here are the six blocks that we can
actually have in the prompt so ant
artifact which is the internal thinking
artifacts info which tells us about the
artifact obviously examples of artifacts
the user query which is what the user
prompt is an example doct string and the
assistant response so keeping everything
nice and formatted will allow it to
produce better results so if you want a
chance to win this laptop all you need
to do is click the link in the
description subscribe to my newsletter
and I am going to choose one of you a
week from now to win this laptop and I
will ship it directly to you thank you
again to Asus for sponsoring this video
I'm so excited to give this laptop away
so thank you again so what do you think
have you been using artifacts have you
found it useful let me know in the
comments and if you liked this video
please consider giving a like And
subscribe and I'll see you in the next
one
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