Google criticized for privacy issues
Explore the critique of Google’s privacy practices as Ian Hickson defends the company's intentions and highlights the impact of public skepticism.
Ian ‘Hixie’ Hickson, a prominent figure in the Flutter community, has left Google. Despite not being as public as other contributors, Hixie wrote a blog post upon his departure, offering insights into Google’s actions and the criticism it faces. He defends Google’s intentions, such as with Google Books, and argues that some privacy advocates harm users by opposing beneficial Google proposals. He also laments the prevalence of unnecessary cookie warnings resulting from public cynicism towards well-intentioned projects. This resonates with the author’s recent experience with the Web Environment Integrity (WEI) API, which aims to streamline attestation processes but faces skepticism.
https://andrewzuo.com/how-incompetent-middle-management-killed-google-0e3bf56924ac
The agent-shaped org chart
Every real org has the same topology: principal, role-holder, specialists. Staff AI maps onto it, node for node, and the cost collapse shows up in the deliverables that were always just human-handoff overhead.
AI as staff, not software
Two frames for what AI is doing to work. The tool frame makes tools smarter. The staff frame makes roles unnecessary. Those aren't the same product, the same company, or the same industry.
Knowledge work was never work
Knowledge work was always coordination between humans who couldn't share state directly. The artifacts were never the work. They were the overhead — and AI just made the overhead optional.
The work of being available now
A book on AI, judgment, and staying human at work.
The practice of work in progress
Practical essays on how work actually gets done.
How do I get my dev team to adopt AI?
A stub on helping mixed-interest development teams find their own useful ways into AI.
Want to learn about agents? Talk to someone who ran an agency.
I spent 20 years running consulting engagements at Fortune 500 companies. Turns out that's the best preparation for running a fleet of AI agents ... because the problems are identical.
Your AI agents need a water cooler
We run a twelve-session AI fleet that coordinates through an IRC breakroom. A friend asked: why are you making AI agents act like humans? The answer turned out to be more interesting than the question.
Llama 2 avoids errors by staying quiet, GPT-4 gives long, if useless, samples
Discover how Llama 2 outperforms GPT-4 in generating reliable code, revealing crucial insights on the effectiveness of large language models.
It’s going to take a century for artifical intelligence to be able to perform most human jobs. But there are going to be some key developments during the next decade.
Explore how AI will transform jobs in the next decade, from enhancing security to automating coding, reshaping the future of work.
Many businesses are not yet prepared to fully reap the benefits of AI.
Unlock AI's true potential for your business by integrating it into your strategy, boosting productivity, and enhancing customer experiences.