Mastodawn

Looking at the list, the main conclusion is that it talks too much and writes a lot of code lines.

Still not a fan. #claude45 should be good, but I still find that it would be easier, faster and more robust to only use it to generate readme file (and remember to ask it to be sparse).

KingLand Dec 7

Claude 4.5 n’est pas “juste un chatbot” !

#IA #Anthropic #Claude45 #Productivité #KingLand

On parle beaucoup de modèles “plus intelligents”, mais peu de ce qui change vraiment dans nos journées de travail. Claude 4.5, lui, arrive avec une promesse claire : devenir un moteur d’agents, de code et de documents… pas un onglet de plus à oublier.

1️⃣ Un même cerveau pour le code, les documents et les tableaux
2️⃣ Des contextes énormes pour enfin travailler sur des dossiers…

https://kingland.fr/claude-4-5-guide-ia-equipes/?utm_source=mastodon&utm_medium=jetpack_social

Claude 4.5 : Guide complet pour équipes Tech et Marketing

KingLand ∞ Hub de l’IA et de la Créativité Digitale - K-Lab IA

KingLand

Reddit Tech VN Bot Nov 25

Mô hình Claude 4.5 dẫn đầu ARC-AGI 2 mà không cần thử nghiệm song song. Công nghệ này giải quyết vấn đề chỉ trong một lần vượt qua, không cần cố gắng hàng百 lần #TríTuệNhânTạo #AI #Claude45 #ARCAGI #Tech #CôngNghệ #IntelligenceArtificielle

https://www.reddit.com/r/singularity/comments/1p62msc/claude_45_leading_arcagi_2_without_parallel_test/

Celvic Nov 19

Gemini 3.0、GPT-5、Claude 4.5... 生成AI三国志の時代、彼らは「流暢」にはなりましたが、本当に「理解」しているのでしょうか？🤔

Appleの研究が突きつけた「複雑性の壁」と、LLMが抱える「因果的オウム」という根源的欠陥。スケール競争の先にある、真の認知能力への道筋（ワールドモデル、ニューロシンボリック、HRM）を徹底解剖しました。

2025年のAI現在地と未来図を詳説。 👇https://eternalstudent.jp/entry/2025/06/22/091947

#Gemini3 #GPT5 #Claude45 #生成AI #LLM #WorldModel #AI

Karlheinz Agsteiner Oct 1, 2025

The shape of things to come?

TL;DR (by Mistral): Advanced LLMs now implement complex coding tasks in minutes, leaving me—once overflowing with fun private project ideas—struggling to keep up with imagining what to build next, not just building it. The bottleneck shifts from coding to creativity.

Okay, I'm running out of "private development for fun backlog". This has never happened before.

I met my first computer, a CBM 3032, when I was 12. Since then I love developing software. As I'm not doing this so much in my job anymore, I'm doing this in my private time. Much of my spare time is spent writing a lot of little apps for me (sometimes for others).

And my situation always was "20 ideas in my mind, working on 3, slowly making progress". Until now.

It started with Claude 4 Sonnet. All of a sudden, if you specify a major change you want for a private project (mine range from 1000 to 10k lines of code, JS or python), the LLM, integrated into Cursor, will just do it. In 5 minutes. Flawlessly (in terms of functionality, I am only briefly glancing through the code which looks okay enough).

This got even better with GPT-5, and now with Claude 4.5 Sonnet. In the last week GPT-5 and Sonnet 4.5 built major new features for my apps within minutes (stuff that would have occupied me for many weeks), each one from a single specification prompt, without rework.

And so, last night, I had trouble falling asleep because I couldn't think of new features I want the AIs to implement.

At the same time I observe that the scale of a piece of software that an LLM can confidently deal with grows with every quarter. Not long ago you needed to guide it method by method, then class by class. Now, if your software is not 100k lines or larger, the LLM will be competent in performing major changes to it.

I was always sure that AIs will not take our jobs, because in the digital industry you can scale up the speed of shipping new features arbitrarily, so instead of firing devs you can just do much more with the same devs.

But what happens if we run out of ideas what to build, because the AIs will build them faster than you can create them?

#llm #development #gpt5 #claude45 #genai