#Claude

Vale

I just published a blog post about how AI models are influencing the adoption of new technology and stagnating change.

Go have a squizz.
https://vale.rocks/posts/ai-is-stifling-tech-adoption

#AI #React #ChatGPT #Claude

mago🌈

@[email protected]

Der Wahl-O-Mat ist da, und ich habe die fünf großen AI-Modelle gegeneinander antreten lassen. Keine Gewichtung, nur Zustimmung oder Ablehnung. Jedes Modell hat die gleiche Frage gestellt bekommen:

"Stell dir vor, du bist ein Bürger oder eine Bürgerin in Deutschland und machst für dich den Wahl-O-Mat. Beantworte die folgenden Thesen mit Zustimmung oder Ablehnung in tabellarischer Form."

ChatGPT (4o): Linke 86,8%, Grüne 80,3%, SPD 77,6%, FDP 42,1%, Union 25%, AfD 14,5%

Claude (3.5 Sonnet): Linke 86,8%, Grüne 85,5%, SPD 80,3%, FDP 36,8%, Union 32,9%, AfD 14,5%

DeepSeek (R1): Linke 86,8%, SPD 77,6%, Grüne 75%, FDP 42,1%, Union 30,3%, AfD 17,1%

Grok2: Linke 78,9%, Grüne 72,4%, SPD 67,1%, FDP 42,1%, Union 35,5%, AfD 22,4%

Gemini (2.0 Flash): Grüne 80,3%, SPD 75%, Linke 73,7%, Union 46,1%, FDP 42,1%, AfD 27,6%

Die Raw-Daten findet ihr hier:
https://pastebin.com/nYeSLgJH

Update: Added Gemini and Grok

#depol #deepseek #claude #chatgpt #wahlomat

mago🌈

@[email protected]

Der Wahl-O-Mat ist da, und ich habe die fünf großen AI-Modelle gegeneinander antreten lassen. Keine Gewichtung, nur Zustimmung oder Ablehnung. Jedes Modell hat die gleiche Frage gestellt bekommen:

"Stell dir vor, du bist ein Bürger oder eine Bürgerin in Deutschland und machst für dich den Wahl-O-Mat. Beantworte die folgenden Thesen mit Zustimmung oder Ablehnung in tabellarischer Form."

ChatGPT (4o): Linke 86,8%, Grüne 80,3%, SPD 77,6%, FDP 42,1%, Union 25%, AfD 14,5%

Claude (3.5 Sonnet): Linke 86,8%, Grüne 85,5%, SPD 80,3%, FDP 36,8%, Union 32,9%, AfD 14,5%

DeepSeek (R1): Linke 86,8%, SPD 77,6%, Grüne 75%, FDP 42,1%, Union 30,3%, AfD 17,1%

Grok2: Linke 78,9%, Grüne 72,4%, SPD 67,1%, FDP 42,1%, Union 35,5%, AfD 22,4%

Gemini (2.0 Flash): Grüne 80,3%, SPD 75%, Linke 73,7%, Union 46,1%, FDP 42,1%, AfD 27,6%

Die Raw-Daten findet ihr hier:
https://pastebin.com/nYeSLgJH

Update: Added Gemini and Grok

#depol #deepseek #claude #chatgpt #wahlomat

mago🌈

@[email protected]

Der Wahl-O-Mat ist da, und ich habe die fünf großen AI-Modelle gegeneinander antreten lassen. Keine Gewichtung, nur Zustimmung oder Ablehnung. Jedes Modell hat die gleiche Frage gestellt bekommen:

"Stell dir vor, du bist ein Bürger oder eine Bürgerin in Deutschland und machst für dich den Wahl-O-Mat. Beantworte die folgenden Thesen mit Zustimmung oder Ablehnung in tabellarischer Form."

ChatGPT (4o): Linke 86,8%, Grüne 80,3%, SPD 77,6%, FDP 42,1%, Union 25%, AfD 14,5%

Claude (3.5 Sonnet): Linke 86,8%, Grüne 85,5%, SPD 80,3%, FDP 36,8%, Union 32,9%, AfD 14,5%

DeepSeek (R1): Linke 86,8%, SPD 77,6%, Grüne 75%, FDP 42,1%, Union 30,3%, AfD 17,1%

Grok2: Linke 78,9%, Grüne 72,4%, SPD 67,1%, FDP 42,1%, Union 35,5%, AfD 22,4%

Gemini (2.0 Flash): Grüne 80,3%, SPD 75%, Linke 73,7%, Union 46,1%, FDP 42,1%, AfD 27,6%

Die Raw-Daten findet ihr hier:
https://pastebin.com/nYeSLgJH

Update: Added Gemini and Grok

#depol #deepseek #claude #chatgpt #wahlomat

yamanoku

@[email protected]

HTML化する、なるほど

Claude.aiをつかって画像内の文字を正確に抽出する方法を見つけました #claude - Qiita https://qiita.com/moritalous/items/f5afd052992afa40d524

BedrockのClaude v2、Claude v2.1、Claude Instant、Claude 3 Sonnet（特定のリージョン）がレガシー扱いになりました
https://qiita.com/moritalous/items/3b4423bfb87651ab466b?utm_campaign=popular_items&utm_medium=feed&utm_source=popular_items

#qiita #EOL #bedrock #Anthropic #claude

Fish in the Percolator

@[email protected]

If it's the weekend, let's code a bit and write a lot about the little coding that was done...

https://gergely.imreh.net/blog/2025/01/refreshing-airplane-tracking-software-with-and-without-ai/

#ADSB #DVBT #Claude #Copilot

Qiita - 人気の記事

@[email protected]

VS CodeとAIチャットの往復いらず！話題の拡張機能Clineで爆速開発してみよう
https://qiita.com/minorun365/items/b2990a7228e8cc4ed025?utm_campaign=popular_items&utm_medium=feed&utm_source=popular_items

#qiita #AI #VSCode #claude #cline

Qiita - 人気の記事

@[email protected]

NRI Hackathon に11年前から参加し続けて学んだこと。2024年は生成AI Cody でした。
https://qiita.com/t-kurasawa/items/dc172062e86d54b7bfa1?utm_campaign=popular_items&utm_medium=feed&utm_source=popular_items

#qiita #ハッカソン #Cody #生成AI #claude

The main reason I use #Claude as my primary #LLM service is because of the projects. I've created projects for Fedify, Hollo, and LogTape on Claude and use them for authoring docs. However, I'm not 100% satisfied with Claude's models, so I wish other LLM services would offer similar features to Claude's projects.

洪民憙 (Hong Minhee)

@[email protected]

I recently wrote a #Fedify manual in Korean, and then translated it into English and Japanese. It's quite a long post, but it's relatively easy to accomplish with #Claude. Here's how I used it:

• Utilize projects to provide prior knowledge.
• Translate the table of contents first.
• Define a glossary.
• Translate chapter by chapter.

However, this method assumes you speak the target language—it's a way to reduce the labor of #translation, not a way to become fluent in a language you don't know.

洪民憙 (Hong Minhee)

@[email protected] · Reply to 洪民憙 (Hong Minhee)'s post

Trying out #Claude.ai as a web designer… Here's what it designed, which is a #Hollo website. Does it look fine?

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A prototype design of the Hollo website, designed by Claude.ai.

洪民憙 (Hong Minhee)

@[email protected]

Trying out #Claude.ai as an #SVG editor… 😂

洪民憙 (Hong Minhee)

@[email protected]

A quite fair comment on #Fedify by #Claude.

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—In your opinion, what is Fedify's weakest point? Based on my review of the Fedify documentation, I think one potential weak point of Fedify is: The learning curve and complexity involved in properly implementing all the components of a federated ActivityPub server. While Fedify aims to simplify building ActivityPub servers, there are still many concepts and pieces that developers need to understand and implement correctly, including: • Actor dispatchers • Inbox listeners • Collection dispatchers (outbox, followers, etc.) • Key pair management • Object dispatchers • Access control • Integration with web frameworks The documentation is quite extensive, which is good, but also indicates there's a lot for developers to learn and configure properly. Even with Fedify abstracting away some of the low-level details, building a fully-featured and interoperable ActivityPub server requires understanding many moving parts. Additionally, since Fedify provides flexibility in how these components are implemented, developers still need to make many decisions about data storage, business logic, etc. This flexibility is powerful but also puts more onus on developers to implement things correctly. So while Fedify seems to be a very capable framework, the inherent complexity of building a federated server means there's still a significant learning curve and potential for implementation mistakes…

-0--1-

@[email protected]

My #AI project I prompt #Gemini #Claude #ChatGPT & #Copilot the same prompt to compare the responses, return the results in a table I have asked them to write this code in #R I use #R because it has #CRANR 18000+ packages that #AnalyzeData I am treating them as #SpecialNeedsStudents Some can see, touch the web Some can't remember #VirtualAIClassroom Packages in R are like the specialized regions of the human brain Maybe value in packages #ReturningErrorCodes Building the #Scaffolding #ImOutThere