This week’s roundup looks at chatgpt features and functions that many people still miss, while also raising bigger questions about where AI is heading. Several articles explore real-world use of AI at work, growing concerns about trust, and whether is AI more dangerous than helpful in the long run. I also found some thoughtful reads on data engineering strategy for 2026, tech investing with ETFs, tools that can help you sleep better, and a fresh update from the crypto world. I hope you will join this weekly tech roundup.
ChatGPT Features and Functions…and Other Cool Stuff
10 ChatGPT Features Hiding in Plain Sight
This article walks through lesser-known ChatGPT features and functions that go far beyond basic text prompts. It covers voice mode, image understanding, document analysis, and custom instructions. The focus is on everyday use cases that can save time and reduce friction at work. It’s a good reminder that most people use only a small part of what ChatGPT can actually do.
15 ChatGPT Prompts That Changed How He Works
A practical list of prompts that helped one professional work faster and think more clearly. Instead of generic advice, the article shows how structured prompts improve planning, writing, and decision-making. It reinforces the idea that results depend more on how you use AI than on the tool itself. In the meantime, you can also visit this website to learn more about prompt engineering.
OpenAI’s Approach to Advertising and Expanding Access
OpenAI explains its thinking around ads inside chatgpt and why advertising may be used to fund wider access. The post stresses transparency and claims ads will not be based on private conversations. It also addresses user trust and long-term sustainability of AI products. Honestly, I expected them to change the approach and monetize their free tier, and I don’t think that’s bad.
Workers Warn AI Is Dangerous and Tell Family Not to Use It
This piece highlights growing internal concern among people building AI systems. Some workers privately warn others to limit their use, pointing to misinformation (especially when we talk about medical advice), over-dependence, and unclear risks. It adds fuel to the debate around is AI more dangerous than helpful, especially as adoption accelerates.
A 2026 Data Engineering Strategy
This article argues for a simple and focused data engineering strategy. Instead of complex stacks, it promotes fewer tools, clear ownership, and strong fundamentals. The message is clear: data systems should serve business needs, not trends or tooling hype. Another thing this article talks about is how we are creating the next talent crisis by not hiring juniors and destroying seniors.
Ben Evans Presentations Archive
A collection of clear, visual presentations on technology shifts, platforms, and AI. These decks are useful for understanding big trends and for learning how to explain complex topics in a simple way. Definitely worth watching, so make sure you check the video below:
LLMs and Your Career
This short essay looks at how large language models affect careers without resorting to fear-based predictions. It focuses on leverage, adaptability, and learning how to work with AI tools rather than competing against them. I cannot agree more.
AI Hype Meets Reality as CEOs Report Limited Impact
Survey data shows many CEOs see little real impact from AI so far. Despite big investments, measurable productivity gains remain rare. The article highlights execution gaps and unrealistic expectations…and I think one of the problems is that people do not understand AI completely, and they have no idea what to do with it.
Is AI Getting Smarter Than Data Scientists?
This piece discusses how AI is changing data science roles. It argues that while automation is increasing, human judgment and context still matter. The role is evolving, not disappearing.
Investing
Best ETFs for Tech Stock Investors
An overview of ETFs that provide exposure to the tech sector. The article compares risk, diversification, and long-term positioning for investors who want tech exposure without stock picking. You can find more tech ETFs on JustETF. I personal own shares of Xtrackers MSCI World Information Technology ETF.
Productivity
Best Sleep Apps
A practical guide to sleep apps, covering tracking, routines, and alarms. It focuses on realistic benefits rather than perfect accuracy, helping readers set proper expectations.
Crypto
This article compares monero vs zcash, two leading privacy-focused cryptocurrencies with very different design choices. It explains how Monero prioritizes default, always-on privacy using ring signatures and stealth addresses, while Zcash offers optional privacy through zero-knowledge proofs. The piece also looks at trade-offs around usability, regulation, and adoption, noting that stronger privacy can limit exchange support. Overall, it frames Monero as the more private-by-default option, while Zcash aims to balance privacy with broader compliance and flexibility.
Free and Discounted Books
Dissolving Overthinking: Stop Overthinking, Calm Your Mind and Find Inner Freedom
Conclusion
Across all these links, the pattern is clear: tools are improving fast, but trust, execution, and judgment lag behind. From ChatGPT features and functions to ads inside ChatGPT and long-term data engineering strategy, the real challenge is using technology with intention. The hype will fade, but thoughtful use will still matter.
By the way, make sure you check my first weekly link roundup.