The Wiert Corner – irregular stream of stuff

Jeroen W. Pluimers on .NET, C#, Delphi, databases, and personal interests

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Archive for the ‘AI and ML; Artificial Intelligence & Machine Learning’ Category

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“Everybody should have an obsession with Lisp-like language at least once in their life” @KevlinHenney

Posted by jpluimers on 2025/08/27

The tweet [WaybackSave/Archive] Jakub Kočí on X: “”Everybody should have an obsession with Lisp-like language at least once in their life” @KevlinHenney I’m glad that I had one with Clojure.” mentioned a great talk:

[Wayback/Archive] The Past, Present & Future of Programming Languages • Kevlin Henney • GOTO 2024 – YouTube

The quote brought instant memories to my early computing days that I had almost forgotten: the muMATH (the muMATH-80 version on Apple II) computer algebra system which was based on muLISP (the German muLISP page has more detailed information), a LISP dialect.

In retrospect, I was way too young to really grasp LISP which was way harder than just using the muMATH wrapper. But it was also my first encounter to reasoning systems, or what we now collectively would call AI systems as back in the 70s there was a strong LISP connection to artificial intelligence . Do not confuse muMath with MuMath-Code however, that is a different LLM beast: [Wayback/Archive] GitHub – youweihao-tal/MuMath-Code

So hopefully I will have a chance to revisit LISP with a LISP-like language one day, maybe even using the discontinued muMATH-83 on MS-DOS (also named “Microsoft LISP“), maybe even the (also discontinued) Derive 6.1 for Windows which is also based on muLISP, or even Clojure itself.

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Posted in AI and ML; Artificial Intelligence & Machine Learning, Development, History, LISP, LLM, Power User, Retrocomputing, Software Development | Tagged: | Leave a Comment »

From @forrestbrazeal: Boilerplate code through ChatGPT or Google slows development teams down similar to technical debt

Posted by jpluimers on 2025/07/30

Via [Wayback/Archive] Angie Jones on Twitter: “Chart by Forrest Brazeal” I found the original at [Wayback/Archive] Forrest Brazeal on Twitter: “Just saying. “ Read the rest of this entry »

Posted in AI and ML; Artificial Intelligence & Machine Learning, Conference Topics, Conferences, Development, Event, Software Development, Technical Debt | Leave a Comment »

GitHub parody poster (but actually truth): “We trained copilot on your code. That’s why it sucks”

Posted by jpluimers on 2025/06/18

The image [Wayback/Archive] GjXf0EPWEAAaAoz.jpg:orig (1528×2048) posted by [WaybackSave/Archive] Deepak Kumar (दीपक) 😷💉 on X: “@Grady_Booch @jsngr” was a response to [Wayback/Archive] Grady Booch on X: “@jsngr …”

«

And what to we call a language with sufficient expressiveness and precision able to construct executable artifacts?

We call it a “programming language”.

At best, AI will revolutionize software development on the same manner as did the invention of compilers. The entire history

»

which also spared these interesting responses:

  1. [WaybackSave/Archive] Adiva 🏳️‍⚧️ on X: “@Grady_Booch @jsngr Also: libraries/packages. It’s been ages since anybody has needed to write every single thing by themselves. Lots of software writing is already creating logic that connects more specialized code written by other people without having understand its internals fully.”
  2. [WaybackSave/Archive] Fast Magpie on X: “@Grady_Booch @jsngr This is the correct take. The number of software engineers required to produce software will decline. The breadth and depth of skill required of those engineers will likely increase. The overall demand for software will increase.”

The library problem is even bigger than the XKCD single dependency one, as there are so many of those fragile dependencies which I discussed in Every conversation about dependencies since 2020 uses the same XKCD 2347 based image, which is a problem on multiple levels. AI will introduce even more dependencies and likely many of them from unknown background causing huge copyright issues.

Image (full size below) from [Wayback/Archive] Tweet JSON

--jeroen

Posted in AI and ML; Artificial Intelligence & Machine Learning, Conference Topics, Conferences, Development, Event, GitHub Copilot, LLM, Software Development | Leave a Comment »

Tom Sydney Kerckhove on Twitter: “I haven’t found any programming tasks that an LLM could do even barely correctly. What kind of code are you all writing?!”

Posted by jpluimers on 2025/06/03

Interesting responses [WaybackSave/Archive] Tom Sydney Kerckhove on X: “I haven’t found any programming tasks that an LLM could do even barely correctly. What kind of code are you all writing?!” and later

They all come down to

  • excuses for using LLM without any substantial result (most of the results come down to one having to become the tester and fixer of the generated code without newer generated code being improved: the opposite of coaching an apprentice)
  • become better at prompting (which is basically regarding the prompt as a new programming language: been there, done that)

[WaybackSave/Archive] One of the “become better at prompting” replies referred to a blog post disguising prompting as writing lots of unit tests: [Wayback/Archive] The Cline AI Assistant is Mesmerizing · mtlynch.io

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Posted in AI and ML; Artificial Intelligence & Machine Learning, Development, LLM, Software Development | Leave a Comment »

Ook Nederlandse web-pagina’s vervuilen met AI-gegenereerde pagina’s zoek-resultaten (en daarmee de AI generatoren)

Posted by jpluimers on 2025/04/22

Waar velen al over waarschuwden gebeurt ook in het Nederlandstalige gebied: AI-gegenereerde web-pagina’s komen hoog in de zoekresultaten en vervuilen daarmee Large Language Models van nieuwe AI-tools.

Voorbeelden die ik tegenkwam:

Ze zijn echt heel makkelijk te ontkrachten, ondanks dat de tekst er heel mooi en netjes uitziet: de inhoud klopt gewoon, en juist dat de tekst er zo mooi en netjes uitziet maakte het voor mij verdacht.

De eerste site is het oude domain van [Wayback/Archive] Baarnse Onafhankelijke Partij wat al heel snel na het opheffen van die partij (zie Baarnse Onafhankelijke Partij – Wikipedia) werd overgenomen.

De domains behoren beide tot SEO sites.

Queries die zowel laten zien hoe hoog sommige pagina’s komen als hoe eenvoudig hun inhoud te ontkrachten is:

--jeroen

Posted in AI and ML; Artificial Intelligence & Machine Learning, Development, LLM, Software Development | Leave a Comment »

Miguel de Icaza on Twitter: “This is so beautiful – SQL Injection attacks but for GPT-3 and other AI text models.” / Twitter

Posted by jpluimers on 2025/03/06

2.5 years after Miguel summarised the state of AI text models, and given SQL Injection (because of mixing control and data channels) still is a thing in the 2020’s, I wonder both how much improvement there has been on the AI side of things and how much it is used in pen testing.

So I archived the below tweets to be able to read back and figure out on the current state.

[Wayback/Archive] Miguel de Icaza on Twitter: “This is so beautiful – SQL Injection attacks but for GPT-3 and other AI text models.”:

Read the rest of this entry »

Posted in AI and ML; Artificial Intelligence & Machine Learning, Blue team, Database Development, Development, Pen Testing, Power User, Red team, Security, Software Development, SQL | Leave a Comment »

OpenAI Researchers Find That Even the Best AI Is “Unable To Solve the Majority” of Coding Problems

Posted by jpluimers on 2025/02/26

[Wayback/Archive] OpenAI Researchers Find That Even the Best AI Is “Unable To Solve the Majority” of Coding Problems

Either Erik Meijer begs to differ, or this is sarcasm: [WaybackSave/Archive] Erik Meijer on X: “I don’t think many developers realized their white collar job could be implemented by a few hundred lines of JavaScript … plus a couple of billion floating point numbers. And we are only just beginning.”

[Wayback/Archive] gist.githubusercontent.com/1rgs/e4e13ac9aba301bcec28d761992ec4e8/raw/7c7cd5b91c6d355e72c7a34b6662006018588780/claudecode.js

Claude Code is a Beta product per Anthropic's Commercial Terms of Service.

It is part of [Wayback/Archive] GitHub – anthropics/claude-code: Claude Code is an agentic coding tool that lives in your terminal, understands your codebase, and helps you code faster by executing routine tasks, explaining complex code, and handling git workflows – all through natural language commands. for which you need to be aware of

…

Data collection, usage, and retention

When you use Claude Code, we collect feedback, which includes usage data (such as code acceptance or rejections), associated conversation data, and user feedback submitted via the /bug command.

…

Via: [WaybackSave/Archive] Marcel Weiher 🇪🇺 on X: ““OpenAI Researchers Find That Even the Best AI Is “Unable To Solve the Majority” of Coding Problems” “

--jeroen

Posted in AI and ML; Artificial Intelligence & Machine Learning, Development, Generative AI, LLM, Software Development | Leave a Comment »

Stable Diffusion – a Hugging Face Space by stabilityai

Posted by jpluimers on 2025/02/06

I’m anxious to see how some 2.5 years after the introduction, Stable Diffusion has evolved.

By then, you could run it either on-line at for instance [Wayback/Archive] Stable Diffusion – a Hugging Face Space by stabilityai:

Stable Diffusion DemoStable Diffusion is a state of the art text-to-image model that generates images from text.

or run it yourself if your GPU was powerful enough by using the base repository [Wayback/Archive] CompVis/stable-diffusion or one of the many forks: [Wayback/Archive] Forks · CompVis/stable-diffusion (back then some 1.4k!)

The original announcement was [Wayback/Archive] Stable Diffusion Public Release — Stability.Ai.

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Posted in AI and ML; Artificial Intelligence & Machine Learning, Development, Python, Scripting, Software Development | Tagged: | Leave a Comment »

Jürgen Schmidhuber on X: “DeepSeek [1] uses elements of the 2015 reinforcement learning prompt engineer [2] and its 2018 refinement [3] which collapses the RL machine and world model of [2] into a single net through the neural net distillation procedure of 1991 [4]: a distilled chain of thought system. …”

Posted by jpluimers on 2025/02/05

[WaybackSave/Archive] Jürgen Schmidhuber on X: “DeepSeek [1] uses elements of the 2015 reinforcement learning prompt engineer [2] and its 2018 refinement [3] which collapses the RL machine and world model of [2] into a single net through the neural net distillation procedure of 1991 [4]: a distilled chain of thought system. …”

followed by a list of references and this graph:

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Posted in AI and ML; Artificial Intelligence & Machine Learning, DeepSeek, Development, LLM, Software Development | Leave a Comment »

ELIZAGEN – ELIZA Reanimated: The Original 1965 Chatbot Restored On An Emulated IBM 7094 Running MIT’s CTSS

Posted by jpluimers on 2025/01/30

Wow, 60 years after her birth, the original ELIZA Chatbot got resurrected after a re-discovered paper version ¹ of the SLIP and MAD based source code was found in the Joseph Weizenbaum archives: [Wayback/Archive] ELIZAGEN – ELIZA Reanimated

Back in 1965, ELIZA ran on top of CTSS on an IBM 7094. Nowadays, few of that hardware is still running, but luckily there are emulators.

Back in the days, a large percentage people chatting with ELIZA thought she was a real person. With the dwindling language proficiency, the rise in believe in alternative facts, and THE RISE OF USE IN ALL CAPS, likely that percentage has increased.

Steps to get started with ELIZA are at [Wayback/Archive] GitHub – rupertl/eliza-ctss: The original ELIZA on an emulated CTSS environment, which carefully got assembled over the course of the last 2 months.

If you want to know about the process, be sure to read the

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Posted in AI and ML; Artificial Intelligence & Machine Learning, Development, History, LISP, Power User, Retrocomputing, Software Development | Leave a Comment »

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