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"I tested #GPT5's #coding skills, and it was so bad that I'm sticking with #GPT4o (for now)"

According to my #LLM testing, #ChatGPT has been the gold standard of #programming tools, but GPT-5 stumbled badly, delivering broken #plugins, flawed #scripts, and errors that could derail projects without careful human oversight.

zdnet.com/article/i-tested-gpt

ZDNET · I tested GPT-5's coding skills, and it was so bad that I'm sticking with GPT-4o (for now)By David Gewirtz

Countless writing systems across the world are on the verge of disappearing. But type design can help to avoid that. and @typojo will talk about how that is, thanks to academic research and cultural awareness.

Impacts of preserving endangered writing systems through type design

July 3, 2025
starting at 1 PM CEST
It's online, in English
🎟️ 20€

And if you can't make it to the event, don't worry! It is recorded, so you can (re)watch anytime!

Go to wordsoftype.com/

Replied in thread

@brianvastag Which is ironic since I’ve heard it before. The circle is coming around. I wouldn’t be mad at your friends. They are in good company.

The app “Eliza” was created by Joseph Weizenbaum c. 1967. He was a critic of early #AI and wanted to show how easily it could be faked. The Eliza app was scripted for various scenarios (sound familiar yet?). The most famous one simulated a #psychotherapist. People tried it and got hooked. Weizenbaum was proved correct - intelligence was really easy to fake. Some people protested vehemently when told the experiment was over, saying it was the best therapy they ever had! Maybe so. What surprised everyone was how people reacted to Eliza. Weizenbaum pointed out that Eliza had no knowledge and it didn’t understand anything people said to it. Eliza composed its replies based entirely on #scripts and syntactic rules. Nobody really cared. And thus began the great schism in AI research, particularly natural language processing aka #NLP. The syntactics people went one way, producing #chatbots, and today’s #LLMs like #chatgpt , and the semantics people (later, myself included) went another, producing many automated knowledge-based problem-solving techniques that today are embedded in thousands of applications.