5 November 2026: Technology shares diverged as permitting risks weighed on AI infrastructure. New bond-pricing results and NAV data sharpened New Zealand valuations, while Bitcoin ETF flows turned positive and Solana faced a fresh deposit pause.
4 November 2026: Apple benefited from tariff refunds; NVIDIA faces reported supply limits; Kingfish shows an indicative NAV discount; Bitcoin ETFs saw outflows and Solana liquidity weakened.
Large language models can finally take on much of the software development lifecycle. But shipping secure software still demands testing, threat modeling, logging, input validation, and vulnerability management. Here's how to think about closing that gap.
What if AI systems did not just create code, but continuously fixed, secured, and improved it? A practical thesis for autonomous software quality and cybersecurity.
Most of the AI hype is doom and gloom — the jobpocalypse, the end of white collar work, the robots taking over. I think that's completely wrong. I believe the Age of AI is the greatest opportunity in history for subject matter experts to create wealth, influence, and legacy.
AI is quickly integrating into education, with major releases from Anthropic (Claude) and Gemini (Google). However, OpenAI's contribution is pretty underwhelming. I call it the lack of the Actionable Outcomes Bias Principle.
Have a brilliant idea for a web app but don’t know where to start? This guide covers essential best practices for non-technical entrepreneurs, from defining your project to wireframing, designing, and finding the right development partner. Turn your vision into reality with clear, actionable steps!
If ever there was a blockchain project I wished I could get into, it would be Qubic. The hypothesis, proposal, and vision are incredible. It's a truly disruptive Layer 1 blockchain proposal—but it's not yet ready for prime time. Check out my analysis.
Learn how to build a crypto trading bot using Binance and Python. Episode 1: Connecting to Binance
Learn how to build your Expert Advisor in Python using MetaTrader 5 in this series. You'll get a step by step guide with incredible explanations to help you every step of the way.
5 November 2026: Technology shares diverged as permitting risks weighed on AI infrastructure. New bond-pricing results and NAV data sharpened New Zealand valuations, while Bitcoin ETF flows turned positive and Solana faced a fresh deposit pause.
4 November 2026: Apple benefited from tariff refunds; NVIDIA faces reported supply limits; Kingfish shows an indicative NAV discount; Bitcoin ETFs saw outflows and Solana liquidity weakened.
Windows Management Instrumentation (WMI). The bane of defenders, used by malicious actors since time immemorial (or at least Windows 2000)…
Large language models can finally take on much of the software development lifecycle. But shipping secure software still demands testing, threat modeling, logging, input validation, and vulnerability management. Here's how to think about closing that gap.
What if AI systems did not just create code, but continuously fixed, secured, and improved it? A practical thesis for autonomous software quality and cybersecurity.
The real promise of AI software development is not just faster code. It is a system of skills that can keep quality, security, vulnerability management, and technical debt under control as the codebase changes.
AI is quickly integrating into education, with major releases from Anthropic (Claude) and Gemini (Google). However, OpenAI's contribution is pretty underwhelming. I call it the lack of the Actionable Outcomes Bias Principle.
Read about how the AI ecosystem has finally started to take its power problem seriously.
5 November 2026: Technology shares diverged as permitting risks weighed on AI infrastructure. New bond-pricing results and NAV data sharpened New Zealand valuations, while Bitcoin ETF flows turned positive and Solana faced a fresh deposit pause.
4 November 2026: Apple benefited from tariff refunds; NVIDIA faces reported supply limits; Kingfish shows an indicative NAV discount; Bitcoin ETFs saw outflows and Solana liquidity weakened.
Large language models can finally take on much of the software development lifecycle. But shipping secure software still demands testing, threat modeling, logging, input validation, and vulnerability management. Here's how to think about closing that gap.
What if AI systems did not just create code, but continuously fixed, secured, and improved it? A practical thesis for autonomous software quality and cybersecurity.
The real promise of AI software development is not just faster code. It is a system of skills that can keep quality, security, vulnerability management, and technical debt under control as the codebase changes.
Most of the AI hype is doom and gloom — the jobpocalypse, the end of white collar work, the robots taking over. I think that's completely wrong. I believe the Age of AI is the greatest opportunity in history for subject matter experts to create wealth, influence, and legacy.