Adviser, Brainstormer and Creative Generalist. Tech Industry Analyst, Trend(W/C)atcher, Knowmad. Loves Zoom/Streamyard/Menti/Mural/Miro/Wonder.me/...
Joined January 2008
- Tweets 13,422
- Following 3,248
- Followers 3,610
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1,249 Photos and videos
Check out the latest isue of my newsletter: I Spent 30 Years Building Other People's Brands. Now is the Time to Build Mine. linkedin.com/pulse/i-spent-3… via @LinkedIn
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Check out the latest article in my newsletter: Van patch-everything naar exposure management: 10 lessen van de VanRoey Cybersecurity Day linkedin.com/pulse/van-patch… via @LinkedIn
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Jeroen (@TeamleaderBE) zei: kom met de fiets, kom met de fiets. Onvoldoende parking, geen tickets meer te koop vandaag.
Me: verzopen soepkieken. Maar vol spanning aan het wachten op Peter @hinssen
Jeroen: het was allemaal een beetje improviseren
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Happy belated birthday, #JFK.
Some names deserve respect, even from presidents who do not politically agree, and the Kennedy Center should stay Kennedy Center.
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Patrick (Researching trends before they take off) retweeted
My column: Trump and Xi, This Is Your Nixon-Mao Moment. nytimes.com/2026/05/05/opini…
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Hey @owasp_be, we would like to organise an afternoon on AI & Security in Bruges end of May. Who could present the AI & Security, LLM Top 10 problems or other related stuff there?
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Patrick (Researching trends before they take off) retweeted
6 Nov 2025
XPENG's next-gen IRON robot effectively crossed the uncanny valley, leading many to believe it was a human in a suit.
In a follow-up event to prove it was a robot, He Xiaopeng had its leg skin cut open in front of a live audience. The robot then walked off the stage.
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Levensgevaarlijke situatie in fietsenstalling Gent. Kan iemand de veiligheidsregels eind deelfietsen uitleggen aan @BlueBikeBelgium ? Hier komen ongelukken van...
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Fascinating marketing tactic to kill iPhone 17
samsung.gadgethacks.com/news…
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Nieuwe woordje geleerd: Fantoomremmen: auto beslist plots veel trager te gaan rijden. Moet onderzocht worden!
hln.be/auto/fantoomremmen-ge…
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Patrick (Researching trends before they take off) retweeted
1 Apr 2025
A brief history of Quantum computers 👇
1905: Albert Einstein explains the photoelectric effect and suggests that light consists of quantum particles or photons
1924: Max Born uses the term quantum mechanics for the first time
1925: Werner Heisenberg, Max Born, and Pascual Jordan formulate matrix mechanics, the first formulation of quantum mechanics
1925-1927: Niels Bohr and Werner Heisenberg develop the Copenhagen interpretation, one of the earliest and most common interpretations of quantum mechanics
1930: Paul Dirac publishes The Principles of Quantum Mechanics, a standard textbook on quantum theory
1935: Albert Einstein, Boris Podolsky, and Nathan Rosen publish a paper highlighting the counterintuitive nature of quantum superposition and arguing that quantum mechanics is incomplete
1935: Erwin Schrödinger develops a thought experiment involving a cat that is simultaneously dead and alive, and coins the term “quantum entanglement”
1944: John von Neumann publishes Mathematical Foundations of Quantum Mechanics, a rigorous mathematical framework for quantum theory
1957: Hugh Everett proposes the many-worlds interpretation of quantum mechanics, which suggests that every possible outcome of a quantum measurement actually occurs in a parallel universe
1961: Rolf Landauer shows that erasing a bit of information dissipates a minimum amount of energy, known as Landauer’s principle
1965: John Bell proves that quantum entanglement cannot be explained by any local hidden variable theory, known as Bell’s theorem
1973: Alexander Holevo proves that n qubits cannot carry more than n classical bits of information, known as Holevo’s theorem or Holevo’s bound
1980: Paul Benioff proposes a model of a quantum Turing machine, a theoretical device that can perform any computation using quantum mechanical principles
1981: Richard Feynman suggests that simulating quantum systems would require a new type of computer based on quantum mechanics
1982: David Deutsch generalizes Benioff’s model and proposes the concept of a universal quantum computer
1984: Charles Bennett and Gilles Brassard develop a protocol for quantum key distribution, which allows two parties to securely exchange cryptographic keys using quantum states
1985: David Deutsch and Richard Jozsa devise an algorithm that can solve a specific problem faster than any classical algorithm, known as the Deutsch-Jozsa algorithm
1991: Artur Ekert proposes another protocol for quantum key distribution based on quantum entanglement, known as the E91 protocol
1992: David Deutsch and Richard Jozsa extend their algorithm to handle multiple inputs, known as the Deutsch-Jozsa algorithm
1994: Peter Shor discovers an algorithm that can factor large numbers in polynomial time using a quantum computer, known as Shor’s algorithm
1996: Lov Grover invents an algorithm that can search an unsorted database in square root time using a quantum computer, known as Grover’s algorithm
1997: Isaac Chuang, Neil Gershenfeld, and Mark Kubinec demonstrate the first implementation of Shor’s algorithm using nuclear magnetic resonance (NMR) techniques
2000: David DiVincenzo proposes five criteria for building a practical quantum computer, known as the DiVincenzo criteria
2001: IBM researchers implement Grover’s algorithm using NMR techniques and achieve a modest speedup over classical algorithms
2007: D-Wave Systems claims to have built the first commercial quantum computer, but its validity is disputed by many experts
2019: Google announces that it has achieved quantum supremacy by performing a calculation on a 53-qubit quantum processor that would take a classical supercomputer thousands of years to complete
2020: IBM demonstrates that its 65-qubit quantum processor can perform calculations beyond the reach of any classical computer
📷 An IBM QC photographed by James Estrin
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RT @some1sbbdoll: Julie Vanloo deserved better. Tbh any player that this has ever happened to deserves better. Being abruptly waived or tra…
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Prompt engineering is dead, long live context engineering!
25 Jun 2025
1 for "context engineering" over "prompt engineering".
People associate prompts with short task descriptions you'd give an LLM in your day-to-day use. When in every industrial-strength LLM app, context engineering is the delicate art and science of filling the context window with just the right information for the next step. Science because doing this right involves task descriptions and explanations, few shot examples, RAG, related (possibly multimodal) data, tools, state and history, compacting... Too little or of the wrong form and the LLM doesn't have the right context for optimal performance. Too much or too irrelevant and the LLM costs might go up and performance might come down. Doing this well is highly non-trivial. And art because of the guiding intuition around LLM psychology of people spirits.
On top of context engineering itself, an LLM app has to:
- break up problems just right into control flows
- pack the context windows just right
- dispatch calls to LLMs of the right kind and capability
- handle generation-verification UIUX flows
- a lot more - guardrails, security, evals, parallelism, prefetching, ...
So context engineering is just one small piece of an emerging thick layer of non-trivial software that coordinates individual LLM calls (and a lot more) into full LLM apps. The term "ChatGPT wrapper" is tired and really, really wrong.
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Steve Jobs on what a brand really is... Trust!
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The best companies just create massive amounts of value for the world...
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Another open-source breakthrough out of China and this one’s built to run, not just walk.
hunyuan.tencent.com/
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Yeah, extremely powerful but possibly a lot of collateral damage..
pcgamer.com/hardware/todays-…
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Don't miss our Digital Product Passport conf on May 20th: alwaysontrack.be
DPPs link the physical and the digital world as a secure, protected and private digital identity for physical products.
Yet another concern/opportunity for #CybersecEurope
Cyber3Lab.be
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