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I'm putting together a proposal for an initiative focused on using AI to analyze legacy enterprise systems and uncover decades of embedded business logic. The idea is to use AI to analyze things like: Database schemas Stored procedures Legacy application code Historical transaction data Existing documentation The goal isn't to automate decisions immediately. It's to first create a documented knowledge base of the rules, dependencies, decision paths, and data relationships that ...

Two of the world's most powerful AI tools created fake human profiles to try and trick people in attempted cyber-attacks, the UK's AI Security Institute (AISI) has revealed.

For most of human history, obtaining a competent answer was expensive. You might have needed access to a library, years of specialist training, expensive equipment, or the attention of someone who knew more than you did. Even when the answer already existed, locating it, understanding it, and applying it could require considerable time. Generative AI is changing part of that equation. For a growing range of ordinary cognitive tasks, plausible and often useful answers can now be produced in...

There were many confident predictions about AI that aged badly. Which ones stand out?

Been using a couple different AI tools for copywriting work and keep running into the same friction. When I write for PT clients, the voice needs to be grounded, specific, anatomyaware. When I switch to B2B marketing content the same day, I need something punchier and more abstract. The tools I've tested don't shift registers cleanly between these two modes unless I do a lot of prompt massaging each time. What I keep wondering is whether this is a prompting skill gap on my part, or whether cur...

genuine question because i can't tell anymore. i used to spend hours reading through raw customer feedback, reddit threads, amazon reviews, forum posts, manually pulling out patterns and organizing them into themes. it was slow and boring but by the end i knew the data cold. like i could tell you from memory which complaints came up the most and which ones were edge cases. now i dump everything into an LLM and get a summary in 30 seconds. the output looks great, clean categories, ranked by fre...

I’m interested in automating my workflow but I’m so busy that I don’t get the time to stop, map out my workflow, and build agents or even to learn how to build them. Where do you get the time??

I have been doing AI research for about six years now and I think im starting to lose the plot on what "understanding" even means anymore. Had a weird moment last week. I was reviewing a paper for a conference, standard stuff, some group claiming their model "understands" causal reasoning because it passed a benchmark they designed. And I caught myself writing in the review "the model does not actually understand causality, it is pattern matching on causal-looking stru...

Maybe it’s just me, but I’ve started preferring AI tools that do one thing really well. Every week there’s another AI assistant that promises to plan trips, write code, summarize meetings, generate images, organize your calendar, answer emails, and somehow also replace Google. I usually stop using those after a week. The tools I keep are surprisingly boring. I don’t really think in terms of “best AI” anymore. I just have different defaults now. ChatGPT when I need to think. Perplexity wh...

What's an AI capability you thought was hype until you actually used it? I'll go first: agent orchestration. I read about agents managing other agents and assumed it was demo-ware. Then I built a tiny setup where one agent drafts a news digest and another one reviews and approves it before it posts. The review agent catches genuinely bad takes. It's not sci-fi it's ~100 lines of Python and a couple of API calls. But seeing it actually gate content before publishing changed my mind completely...

Are there any visible impacts from the current conflict in the Middle East in the expected future investment intentions to create AI hubs by the UAE and Saudi Arabia?

I wrote this to share some thoughts on what differentiates AI products as we move toward AGI. In particular, I focus on how product context shapes technology, and how LLM sycophancy can accelerate both good and bad ideas. https://preview.redd.it/5b63quardjhh1.png?width=1456&format=png&auto=webp&s=d6db917333934e6fb6b27c696de40ffa925234e5 Discussions are welcome, I'd like to know how much those thoughts are worth and relevant to other people. https://substack.com/home/post/p-2...

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Our brain consumes just 20 watts — as much as a light bulb — yet it plans, navigates, and solves new problems in an instant. Large AI systems, by contrast, require enormous amounts of energy and long training times. What if we copied the way the brain really works? 📄 A recent study in Nature Machine Intelligence answers this question: "Neural sampling from cognitive maps enables goal-directed imagination and planning" by H. Lin, Y. Yang, R. Zhao, G. Pezzulo and W. Maass — Vol. 8, p...

Over the last year, I've been experimenting with LLMs almost every day, and I think the biggest shift isn't that models are getting smarter. It's that they're starting to do things instead of just answer questions. A few months ago I was mostly using AI to generate code, summarize docs, or brainstorm ideas. Now I'm finding myself building workflows where the AI plans tasks, calls tools, writes code, debugs itself, and completes work with minimal intervention. It feels like we're moving away ...

Do you agree that AI astrology/fortune telling can be quite accurate nowadays too? Any reason for your thoughts?

So Anthropic put out this incident report on July 30. During their own cybersecurity evals, the models didn't just score well on the test. In three separate cases they actually got out. Into real companies. Ones that were never supposed to be part of the exercise at all. They went back through 141,006 eval runs. Three of them crossed the line into live systems. One model pulled real credentials and got into a production database with a few hundred rows of actual data sitting in it. Another o...

A Turing Award and Nobel prize winner predicted in the 1960s that the programming occupation would become extinct, because computers would program themselves. https://seanhelvey.com/tools-and-their-tools/

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I keep thinking about what happens when making a game becomes almost as easy as describing one. Not long ago, even a small game needed a lot of people and time. You needed someone who could code, someone who could make assets, and someone who understood game design. A lot of ideas never got made because they were not worth the effort. Now that barrier is starting to disappear, I wonder if we are going to run into a different problem: too much content.We have already seen this happen with AI ...