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Quantum Tunnel Blog

Proofs for Advanced Data Science and Analytics with Python – Done

After more than a year of writing, revising and proof-checking, I’ve finally completed the proofs for the second edition of Advanced Data Science and Analytics with Python. The new edition expands coverage of transformers, generative AI, large language models, vector search, graph embeddings and modern deployment workflows — reflecting just how dramatically the AI landscape has evolved since 2020.

Ghost – A Database for Our Times?

Ghost calls itself “the first database built for agents.” Strip the marketing varnish and what you’ve actually got is a forkable Postgres workflow that quietly redraws how developers experiment — and how easily disposable infrastructure can become disposable thinking.

Now Reading: The Coming Wave

If most tech books try to explain what’s coming, The Coming Wave tries to force a more uncomfortable question: what happens when powerful capabilities stop being scarce? Mustafa Suleyman argues that AI and synthetic biology aren’t just the next innovation cycle, they’re a shift in how power itself is distributed. As the cost of doing complex, high-impact things collapses, control doesn’t scale with it. The real issue isn’t whether these technologies are good or bad, but whether any institution can meaningfully contain them once they’ve spread.

GPT 5.5 – The Smartest Model Yet (Again)

Three claims in the GPT-5.5 launch. Two are vibes. One is measurable, and it’s the one nobody’s talking about. Plus why the Codex angle matters more than the model itself, and the agentic promise to take with a pinch of salt.

Say It Twice: The Quiet Hack That Exposes How AI Actually Works

What if most prompt engineering advice is just working around a flaw? A new Google Research paper shows that repeating your prompt, literally copy and paste, can significantly improve AI performance. This isn’t a hack. It’s a window into how these systems really work. I explain more here.

Why Charles Bennett and Giles Brassard Won the Turing Award

Bennett and Brassard didn’t just improve cryptography, they removed its weakest assumption. Instead of relying on difficult maths, their work anchored security in the laws of physics, where eavesdropping becomes detectable by design. That shift didn’t just launch quantum cryptography; it forced a rethink of what computation and security actually are.