The AI world is buzzing with the release of a new physics-based reasoning benchmark, and the results are quite fascinating. While Gemini maintains its position at the top, there are some unexpected outcomes that have caught my attention, particularly regarding the performance of various models on physics problems.

Working in tech, I’ve seen countless benchmarks come and go, but this one from Peking University is particularly interesting because it focuses on physics problems that require both knowledge and reasoning skills. The benchmark tests models’ abilities to understand spatial relationships, apply physics principles, and perform complex calculations - skills that many of us struggled with during our high school and university days.

The recent discussions about Gen Z’s perception of AI consciousness have left me both fascinated and deeply concerned. Working in tech, I’ve watched the rapid evolution of AI systems like ChatGPT and Gemini, but the notion that a significant portion of young users believe these systems are conscious is troubling.

Let’s be crystal clear - current AI systems, regardless of how sophisticated they appear, are not conscious beings. They’re incredibly complex pattern-matching machines, trained on vast amounts of human-generated content. The fact that they can generate human-like responses doesn’t make them sentient any more than a calculator becomes conscious by solving equations.

Looking through some online discussions about AI yesterday, I noticed an interesting pattern emerging. The conversation had devolved into a series of brief, almost automated-looking responses that ironically demonstrated the very essence of what we call “The Bitter Lesson” in artificial intelligence.

Back in 2019, Rich Sutton wrote about this concept, suggesting that the most effective approach to AI has consistently been to leverage raw computation power rather than trying to encode human knowledge directly. The bitter truth? Our carefully crafted human insights often prove less valuable than simply letting machines figure things out through brute force and massive amounts of data.

The news about California’s proposed bill requiring AI companies to remind kids that chatbots aren’t people caught my attention during my morning scroll through tech news. While it might seem obvious to many of us working in tech, the reality of human-AI interaction is becoming increasingly complex.

Working in DevOps, I interact with AI tools daily. They’re incredibly useful for code reviews, documentation, and automating repetitive tasks. But there’s a clear line between using these tools and viewing them as sentient beings. At least, that line is clear to me - but apparently not to everyone.

The irony wasn’t lost on me when I read that “oligarchy” has become a trending search term following Biden’s farewell speech. Nothing quite captures the state of our democracy like citizens having to Google the very system that’s threatening it.

Looking through online discussions, the mix of dark humor and genuine concern perfectly encapsulates our current moment. Between references to “Idiocracy” and serious debates about wealth inequality, there’s a palpable sense that we’re approaching a critical juncture in history.

The recent news about private schools spending $2.5 billion on capital projects while public schools grapple with overcrowding has reignited the perpetual debate about school funding in Australia. Twenty years of working in tech has taught me that following the money often reveals the true story, and this situation is no different.

Looking at the numbers, elite private schools like Cranbrook receive around $4,000 per student in government funding, which is less than 10% of their total funding per student. Meanwhile, many public schools struggle with basic infrastructure needs. The argument that “private schools save the government money” keeps surfacing, but this overlooks a fundamental question: should we be subsidizing private choices with public money at all?

The recent discussions about AI’s role in education have left me pondering the future of learning. While scrolling through my Twitter feed at my local Carlton café this morning, I came across several heated debates about AI integration in schools, and it struck me how this technology is rapidly reshaping our educational landscape.

The introduction of AI tools in classrooms isn’t just about fancy tech gadgets or automated marking systems. It’s fundamentally changing how our kids learn and interact with information. Some schools in my area are already experimenting with AI-assisted learning programs, and the reactions from parents and teachers have been mixed, to say the least.

Standing in my home studio, gazing at the collection of instruments I’ve gathered over the years, I find myself wrestling with some deeply unsettling thoughts about the future of music. The recent comments from a Berklee professor about AI music being better than 80% of his students have hit particularly close to home.

My old Yamaha keyboard sits silent these days, collecting dust next to the digital audio workstation I invested in last year. The irony isn’t lost on me - I spent thousands on equipment to make music, while today’s AI can produce surprisingly competent tunes with just a text prompt.

The writing has been on the wall for a while now, but seeing a Berkeley professor openly discuss how even his outstanding students can’t find jobs sends chills down my spine. Having spent countless hours at my local coffee shop in Brunswick Street watching my own kid struggle with university applications, this hits particularly close to home.

Let’s be honest - we’re witnessing a fundamental shift in the employment landscape. When I started my career in the ’90s, a university degree was practically a golden ticket to a decent job. Now? Even graduates from prestigious institutions are struggling to get their foot in the door. The tech sector, once the promised land of six-figure salaries and cushy benefits, is showing serious cracks.

Reading through discussions about career pathways lately has been both enlightening and frustrating. The traditional narrative of “get a degree or stay stuck” is finally starting to crack, and it’s about time.

Sitting here in my home office, sipping my Market Lane coffee, I’ve been reflecting on the fascinating stories of career transitions I’ve been reading. What’s particularly striking is how many successful professionals started their journeys in hospitality. These stories hit close to home - my local café’s manager recently made a similar leap into corporate procurement, doubling her salary in the process.