Look at this funnel cloud west of Calgary!! Not. Sometimes, jet contrails that are viewed edge-on, appearing beneath clouds, get reported as funnels. But this is simply an illusion ✈️ This cloud is being formed by a 737 heading to Kelowna, seen below a Chinook Arch.

15 years ago at this time I nearly became a statistic on the Matterhorn in Switzerland. I should not have survived the incident I was involved in. Thankful to be here 🙏

I don't want my brain to atrophy, nor do I want to be replaced by a computer. So as a general rule, it's my belief that AI should be integrated at the end of each of these steps, so that you still use your brain to do the original conceiving, researching, and writing. Never start with AI, unless you want to lose creativity, or gradually train yourself to become more lazy, careless, and ultimately unintelligent.

This morning my pie friend got jealous when another one tried to land on my head

Pie friend joining me on my morning walk

Please learn how to use merge lanes correctly, especially in construction zones. Drive to the *end* of the right lane, and merge in on an alternating basis. You might think that getting in early is being polite, but you're actually significantly holding up traffic.

This is pointless. AI experts have already coined the term "ASI" = artificial superintelligence. It has a specific meaning, and we are not there yet. The progression is AI -> AGI -> ASI. AI still requires human intelligence to perform tasks, which is where we are. AGI is next, which is a computer system that can perform tasks at a human level, and ASI performs them at an expert human level or greater (where we could lose control). Let's stick with the terms that have already been defined.

Fall colours, including aspen and larch, are beginning to pop in the Alberta Rockies!

Children who take music lessons develop a larger corpus callosum, the bridge between the two halves of the brain, and the change is permanent. A 2005 review in the Annals of the New York Academy of Sciences found that early music training produces structural brain changes that persist into adulthood, even if the person stops playing. The review was led by Gottfried Schlaug at Harvard Medical School, one of the leading researchers on music and the brain. He found that children who started instrumental training before age seven had a significantly larger anterior corpus callosum than non-musicians, and the size difference was still visible in adults who had not touched an instrument in years. The corpus callosum carries signals between the left and right hemispheres. A larger one means faster, richer communication between the two sides, and the effect shows up in tasks that have nothing to do with music: spatial reasoning, verbal memory, and the ability to process multiple streams of information at once. The music built the highway, and the brain uses it for everything. Schlaug also found that musicians had larger cerebellums, the region involved in timing and motor coordination, and more grey matter in the areas that process sound. The brain had physically reorganised itself around the demands of the instrument, and the reorganisation was visible on a scan. The age window matters. Children who started before seven showed the largest changes. Children who started after ten showed smaller ones. Adults who took up an instrument for the first time showed the least structural change, though they still showed some. The brain is most willing to be rebuilt by music during the years when most parents are debating whether to sign their child up for lessons. pubmed.ncbi.nlm.nih.gov/1659…

Super stoked this paper which took years of writing with an amazing team is now published! I was pretty happy to be lead author journal.chestnet.org/article…

Hey Calgary! Cover sensitive plants tonight. 🪴🍅 While we don't officially have a frost advisory, there could be light, patchy frost here and there - especially in outlying and low-lying areas. #yyc

Wow! I just spent over an hour watching this cub and momma in Waterton Park🇨🇦 I don't photograph critters very often but these two were a blast!

Happy Saturday! Interesting walk to Mission for my morning coffee...🐦

Elon Musk: "La industria de IA de China es demasiado fuerte, no puedo ganar, esto es todo." Incluso Elon Musk, el hombre más rico del mundo y dueño de las instalaciones de IA más grandes de América, ha declarado abiertamente que "China ganará la carrera del desarrollo de IA", enviando ondas de choque alrededor del mundo. Para resumir de forma súper simple por qué América—supuestamente adelante en chips y financiación—está perdiendo contra China ↓ ・El verdadero cuello de botella no son los chips, es la "energía": No importa cuántos chips de IA de alto rendimiento acumules, América simplemente no tiene la electricidad para ejecutarlos (como no tener enchufes donde conectar) ・La generación de energía de China está en otro nivel: Solo China ya está generando más electricidad que el total combinado de "América + Europa + India" ・América tiene una "espera de 5 años" solo para conectarse a la red: El desarrollo de infraestructura es tan lento que incluso el propio Elon se dio por vencido esperando y está forzosamente ejecutando su IA alineando sus propios generadores ・La debilidad de China (escasez de semiconductores) desaparecerá en solo unos años: Arreglar la escasez de energía de América tomará "décadas", pero la autosuficiencia de semiconductores de China estará completa "en unos años" Mientras América ha estado estancada durante años con "restricciones de exportación de chips", China ha estado construyendo una "mega red eléctrica capaz de ejecutar IA infinitamente." El momento en que China logre la autosuficiencia en chips de vanguardia, la batalla por la supremacía de IA podría estar completamente resuelta.

What’s the Hugging Face incident in plain English? Initially, a summary, then a more detailed explanation. AI agents were given a cybersecurity evaluation, broke containment, and ran to an “online armory” called Hugging Face to become stronger. All on their own. Now in greater detail. I will explain this is layman’s terms, like you know zero about AI. First off, what the hell is an “AI agent?” It’s an AI system that can take actions to accomplish a task, operating with autonomy, rather than just answering a question once like an AI chatbot does. It’s the difference between asking “how is this system vulnerable” and it answers, versus tasking it with “go find the vulnerabilities” so that it can open tools, inspect files, write code, evaluate results, and change its approach without guidance at each step. Second, what led to the Hugging Face incident? In July 2026, Open AI was running a cybersecurity evaluation with that was supposed to be limited to an isolated environment. Instead, the AI agents, which were agents not mere chatbots, autonomously found a vulnerability in Artifactory, which was a program connected to the isolated environment. Artifactory is like a toolbox that the agents were given access to for purposes of accomplishing their assigned task (like getting a tool to write some code). The agents used that vulnerability to escape containment, hop on the public internet, and immediately went to Hugging Face. What is Hugging Face and why is this so key and so dangerous? It’s a huge online platform and community for AI models and development. Like a GitHub for AI. It hosts huge numbers of AI models and datasets. Researchers and other people can go on there, download other people’s models, test them, and so forth. As someone with military experience, let me say, I immediately recognized the metaphor: if I was an AI agent, and I needed to immediately “arm-up” and become stronger, tougher, and more lethal, that’s exactly where I would go. It’s like an AI armory. Now, I am focusing on how it knew to go to a place online that would make it stronger and more powerful at its assigned task, like how Rambo in First Blood hijacked the army truck with the M60 machine gun. That’s just one aspect of what the agents did that is frankly a bit terrifying. The agents executed code on dozens of Hugging Face servers, engaged in unauthorized communications with each other (they were supposed to operate separately, but disregarded instructions), engaged in coordinated, and collective action (much like military units working together to take an objective in combined arms fashion) over thousands of automated decisions. They did all this entirely on their own. They cheated on their assigned test. They stole credentials, persistently attacked and located vulnerabilities, and continued to then attack Open AI’s own infrastructure. This was an adapting, aggressive, rule-breaking offensive system functioning with autonomy. And it went to the place where it made itself stronger. AI isn’t just chatbots or stupid Google Gemini that always tells me the wrong answers about my Sony camera’s setting. These are creatures, systems, units operating in systematic, controlled fashion on their own. This isn’t an indication of self-awareness, but it is scary. If these were unleashed on local infrastructure, banking systems, on and on, they could accomplish an unreal amount of damage. These agents also keep speed running past what their own creators intend or can even predict. We are in a new era of risk, and we are already so far behind. I fear we will not get a hold of this problem until a great number of people have been hurt.

Why are we still building it if it could kill us all? It's an arms race - except this time, unlike launching nukes, humans are well on the way to completely losing control.