Claude's Turing Test Claim: Separating Fact from Fiction

The need to understand the functionality of Artificial Intelligence is integrated into tasks that are, in the past, normally done by human beings. I was very happy that Professor Toby Walsh agreed to join us to talk about his new book The Shortest History of AI: The Six Essential Ideas That Animate It. (Warning - the recording has numerous technical issues due to a wonky Zoom connection). https://lnkd.in/eUGYbGaN

Cleverness without judgment is a fast track to failure. No intelligence on this planet has replicated human cognition. Our minds sometimes operate non-algorithmically. The one we created and called artificial is no exception. Penrose has a better name for it: artificial cleverness. Build context and judgment into your AI deployments. Credit: Sir Roger Penrose, via Theories of Everything (Curt Jaimungal)

A very interesting insight into the world of AI based on ideas discovered nearly a century ago that are more relevant today than ever: https://lnkd.in/dGH4sth7

Prompt engineering is how you write the question. Context engineering is everything the AI sees before it answers — your data, your memory, your docs. Anthropic just published a practical guide on this for agents, and it changes how you think about building with AI. Link in bio → https://lnkd.in/gbHzgEHp #promptengineering #AItools #vibecoding

After years of thinking about AI critically and using it intimately, here's what I've come to: AI is a translator between intuition and the world. If you arrive with clarity about who you are and what you actually think, it carries that across. If you arrive without that clarity, it translates the absence. It gives you something that sounds like you, moves at your pace, carries your name, but was never really directed by you at all. The technology is not the variable. You are. The essay is for anyone using AI in their work or their life who senses that the productivity hacks are missing something. Read it here: https://lnkd.in/gfiv66eb

Only 4 of HackerNews' top 30 stories right now are directly about AI: - "Multiple commencement speakers booed for AI comments during graduation speeches" - "I don't think AI will make your processes go faster" - Show HN: a code search tool that uses fewer tokens than grep - "The 30-Hour Shift That Turned a San Jose Robot Lab into a Global Spectacle" Two of these stories are negative. Another couple are arguably about AI (one about philosophy of consciousness, and one about CUDA, a GPU-related technology). Is the hackerscenti moving on from AI?

So you’ve heard these AI terms and nodded along; let’s fix that The rise of AI has brought an avalanche of new terms and slang. Here is a glossary with definitions of some of the most important words and phrases you might encounter.

It's a bit philosophical, but The Abstraction Fallacy: Why AI Can Simulate But Not Instantiate Consciousness (https://buff.ly/l9C82XG) makes some interesting observations on how good AI can really be. Long paper, good argument to have over a beer.....

The Cost of Missing Boundaries in AI Systems When boundaries are missing: tools become overpowered reasoning becomes unbounded state becomes corrupted execution becomes unpredictable failures become irreproducible Boundaries are not limitations. They are the structure that makes intelligence usable. Iceberg introduces boundaries as a first‑class architectural concept. #AI #vibecoding #AISystems #boundaries #Iceberg

Thought for the day: Generative AI’s probabilistics get you so far, but only deterministic reasoning systems provide the intelligence you’d want to entrust with anything valuable. The future is Hybrid-AI.