@hwwaanng: Claude Design fully exposes the weakness of Anthropic's model, which lacks multimodal capabilities.
Summary
Some comments point out that Anthropic's Claude model lacks multimodal capabilities, which is a drawback in its design.
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@AlchainHust: https://x.com/AlchainHust/status/2064676532212097418
This article provides a detailed review of Anthropic's newly released Claude Fable 5 model, and demonstrates the author's process of using it to develop a Mac App '翻箱' in one day. The model has significant improvements in code generation and stability.
@seclink: Anthropic released Claude Fable 5 on June 9. As a “Mythos”-class model, it leads benchmarks in coding, research, and visual processing, especially good at large-scale projects like code migration. The model is now available on http://Claude.ai…
Anthropic released Claude Fable 5 on June 9, a “Mythos”-class model that leads benchmarks in coding, research, and visual processing, especially good at large-scale projects like code migration. It is now available to Pro, Max, Team, and Enterprise users.
I just noticed Anthropic made Claude's design, which is actually usable for real work.
A user observes that Anthropic has improved Claude's design, making it practical for real work.
@LinearUncle: Not to complain, but many websites made by Claude feel like techies' self-indulgence, with a strong Claude AI flavor. I rarely see designers praising Claude, maybe because different professions are like different mountains. Codex-related models' direct output interfaces, though not as good as Claude's individually, hide a powerful tool: GPT-image-2. Using GPT-image-2 to generate UI images (preferably with reference images) yields very beautiful and distinctive results. However, translating these UI images into actual websites or app interfaces has always been a challenge. I previously shared a Chinese designer's approach, and today I'll share another great solution.
User complains that Claude-generated websites lack design sense and have an obvious AI flavor, while UI images generated by Codex models combined with GPT-image-2 look better, but implementation still faces challenges.
@VincentLogic: Anthropic’s talk had some solid insights. Previously, building Agents required manually implementing routing, retry mechanisms, and context compression. Now, the speaker points out that these 'scaffolding' features are already built into the model—stop reinventing the wheel. The most mind-blowing part was the final demo: letting Claude autonomously...
This article comments on Anthropic’s talk regarding Claude, noting that the model now includes built-in Agent scaffolding features such as routing and retries. It highlights a demo showcasing a smooth closed-loop workflow where Claude independently reproduces, fixes, and tests frontend bugs, marking a new era in Agent development.