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> However, I highly doubt I never understand why people don't just test this? Claude 3.5 sonnet, first test, prompt: Any idea what this SVG is describing?: T
by ctoth 2y ago
> However, I highly doubt
I never understand why people don't just test this?
Claude 3.5 sonnet, first test, prompt: Any idea what this SVG is describing?:
This SVG describes a simple geometric composition consisting of three circles:
1. The largest circle is centered at coordinates (100, 100) with a radius of 50 units.
2. A smaller circle is positioned at the top-left, centered at (50, 50) with a radius of 40 units.
3. Another smaller circle is positioned at the top-right, centered at (150, 50), also with a radius of 40 units.
The overall effect, if rendered, would resemble a basic face-like structure or a simplified Mickey Mouse silhouette, with two smaller circles (potentially representing ears or eyes) above a larger central circle (potentially representing a face or head).
The SVG uses a viewBox of "0 0 175 175", which defines the coordinate system and aspect ratio for the image.
Would you like me to create a visual representation of this SVG for you?
- deleted 2y ago[deleted]
- smallnamespace 2y ago> I never understand why people don't just test this? One reason might be that you get the benefit of feeling superior to LLMs without any cost or risk of finding yourself mistaken.
- merlincorey 2y ago[flagged]
- merlincorey 2y ago> I never understand why people don't just test this? I never understand why people take things out of context instead of responding to the totality of a message, since I started off by saying: > To my understanding, You have responded not by providing your understanding but by belittling me. Nonetheless, I appreciate you taking the time to query Claude-3.5 and sharing the results. According to Amazon Bedrock adds Claude 3.5-sonnect[0] is a multimodal model with state-of-the-art vision processing, which tells me that Claude can "cheat" by rendering the SVG and then passing to the image model for the results which is perhaps one way of describing "imagining" things, but it does not describe a strict Large Language Model which predicts the next token. > The multimodal Claude 3.5 Sonnet also excels at processing images with state-of-the-art vision, particularly when interpreting charts and graphs—helping to get faster, deeper insights from data. It can accurately decipher text from imperfect images—for example, poorly scanned documents—and in doing so, glean more insights than from text alone. [0] https://www.aboutamazon.com/news/aws/amazon-bedrock-anthropic-ai-claude-3-5-sonnet https://www.aboutamazon.com/news/aws/amazon-bedrock-anthropi...