A friend recently recommended Craig McCaskill’s article “The Bubble That Knows It’s a Bubble” with a disclaimer “it’s quite a read”. After forgetting it and coming back to it later I can say: it’s so worth reading it!
(more…)Tag: AI
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Is the GenAI Revolution over already?
Just recently I saw the article (that probably most of us already noticed with a gentle smile), that AI coding tools can slow down seasoned developers by 19% (on InfoWorld). And just now I came to another article on Futurism, that “AI Use Is Now Declining at Large Companies”.
Heise.de picked up the article as well (Ernüchterung statt Euphorie: KI-Nutzung in den USA geht zurück) and outlines that the big hope of additional revenues has not come true (well … as if a technology would print money) and that the negative effects start to be more visible.
Yeah well — I’m wondering where exactly we might be in the Gartner Hype Cycle. I guess somewhere near the “Trough of disillusionment”? I don’t think that there is any doubt that GenAI has some really really beneficial use cases. But to me it did sound a lot like the time when the use of big data was totally overhyped.
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AI vs. the Legacy Black Box Codebase
If you want to see a cool example of how Generative AI can be used to tackle one of the nastiest problems in enterprise IT, you might want to invest some minutes in reading “From Black Box to Blueprint.”
What it’s about: Large organizations often have to rely on systems that are both business-critical and poorly understood due to lots of legacy. The article describes how Thoughtworks approached such a case: combining a multi-lens strategy (UI reconstruction, logic inference, change data capture, etc.) with AI-assisted “binary archaeology.”
I really like the idea as it’s not about replacing humans, not hype but solving a real problem: complex — legacy — codebases. Something no one of us likes to lay their hands on.
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It’s only AI if it’s cool!
I guess I am not the only one who is quite annoyed that nowadays everything is AI. Literally everything that’s beyond an
if/elseis advertised as AI. Machine Learning doesn’t seem to exist anymore.Unless … Unless it’s not cool!
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When Vibe Coding backfires: AI deletes company’s Database
AI agents “cannot be trusted [and] you need to 100% understand what data they can touch. Because — they will touch it. And you cannot predict what they will do with it.”
Sounds like the statement of an AI hater — but in fact it’s from Jason Lemkin who was using Replit (an AI powered software development platform) — after it deleted the complete production database.
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When AI Writes Code — Who Really Sets the Price?
AI writing code sounds like every CEO’s dream: cheaper, faster, maybe even better. But what if swapping expensive developers for clever tools just creates a new kind of risk?
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AI Agents: Loyal Only to the Prompt
Recently I thought “If AI scrapers are scraping my website, would a prompt injection work? Just adding invisible Prompt commands …?”
And just today, a colleague sent me this link to an article about prompt injection in GitLab Duo: Remote Prompt Injection in GitLab Duo Leads to Source Code Theft:
TL;DR: A hidden comment was enough to make GitLab Duo leak private source code and inject untrusted HTML into its responses.
https://www.legitsecurity.com/blog/remote-prompt-injection-in-gitlab-duoWell – it shows: damit! Someone else was faster! 😀
But besides that: it confirms a paranoid thought that I have been harboring for quite a while. Any output of an AI system must not be trusted blindly.
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LLM-Search is a bit more than just “AI” – Podcast recommendation
Last week I heard the podcast SoftwareArchitekTOUR – Episode 102: Zuverlässige KI-Architektur from heise online. (german only, sorry).
I really liked the part where they discussed the technical part for a sematic search. Especially when it struck me, that the actual use of LLMs is just once per document and not in the search directly. Also, it suddenly became clear to me why you want/need a vector database for such an AI supported search.
Check it out if you can understand german or try to translate it.
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Why do I feel triggered when Managers talk about AI?
I still don’t know why it triggers me so much when managers talk about “(Gen)AI” with such fascination. Maybe because I get the feeling that they tell themselves that IT problems will magically disappear?
But … what does ChatGPT say … the AI for sure must know (*cough*)
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The truth about (Gen)AI
(✅ clickbait title)
Recently I attended a GenAI event organized by <big company>. All professional, interesting, insightful. Really good. (Really! I mean it! No sarcasm.)Until it hit me like a blow during a discussion:
I DO KNOW the whole plot already!
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