conciliatory

3개월 전discuss

This is a great analogy to what this time in IT and tech feels like. We are moving up a layer in terms of abstraction, and for those of us who cut our teeth in processes where we had lower level understanding it feels very destabilizing. I've been telling my team for a few years now that becoming an "agent manager" is the path forward - it's more true now with the latest revelation that "managers are out of style", and every role will have some IC component. I've seen it in my work - I can express intent more clearly to Claude and get immediate feedback for any technical tasks, so my team needs to be able to create intent at a higher level and translate that to their agent team, rather than getting directive task alignment. We've been through these pendulum swings before - this should start to stabilize in a few years... That's the industry vet perspective - I'd be lying if I said it didn't feel different this time though...

conciliatory

6개월 전discuss

I am especially annoyed by the dark pattern whereby if I do a fast swipe up in an article, the page will scroll to a stop with the ad landing right under my finger, so the accidental click rate is higher. Very disappointed in Apple - as if the money from accidental clicks on spam ads is truly a meaningful revenue stream vs the cost of customer goodwill. Certainly optimizing in the wrong direction.

conciliatory

10개월 전discuss

As a technical user of AI, I think there is certainly value in the capabilities of the current IDE/agentic systems, and as a builder of AI systems professionally I think there is enterprise value as well, although realizing that value in a meaningful way is an ongoing challenge/work in progress. There is also clearly a problem with AI slop, both in codebases and in other professional deliverables. Having said that, what’s more interesting to me is whether we have seen AI produce novel and valuable outputs independently. Altman asserts that 10GW could possibly “cure cancer”, but frankly I’d like to see any discrete examples of AI advancing frontier knowledge areas and moving the needle in small but measurable ways that stand up to peer review. Before we can cure cancer or have world peace through massive consumption of power and spend I’d like to see a meaningful counterpoint to the argument that AI as a derivative technology from all human knowledge is incapable of extending beyond the current limits of human knowledge. Intuitively I think AI should be capable of novel scientific advancement, but I feel like we’re short on examples.

conciliatory

4년 전discuss

It’s honestly shocking how many facets of American culture are predicated on addiction for profit. Alcohol, food, social media, gaming, opioids, cannabis, nicotine, gambling. It is extraordinarily difficult to find a sense of perspective independent of the influence of these industries.

conciliatory

4년 전discuss

Certs and the studying associated with certs has always been the biggest unlock in my career. The MCSE gave me a 50% salary uplift in the early 2000’s and the Cisco CCNA/CCNP gave me an invaluable networking background in the mid aughts. Recently, the AWS certs have given me an opportunity to pivot from management back into the technical realm and given me the confidence and framework to think about IT problems in a whole different way (traditional IT vs Cloud native) Throughout my life I’ve always done better by investing in myself and my learning, and certs have always been a huge part of that. My investments, stocks, startups, etc. have always been hit or miss, but my skills and the opportunities they have opened have been huge unlocks. Certs are a structured way to achieve those unlocks and represent them in the professional world. For all the cynicism one hears about certs, my experience has been the exact opposite, I’d do them all over again - I’ve learned a ton and had a rewarding career.

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