But is Google better? Not really, they killed a lot of good products like Reader.

But is Facebook better? Not really, Cambridge Analytica and Metaverse and .. facebook products are disposable.

But I think these Apple UX bugs are misdiagnosed. Yes they are atrocious. But think about how atrocious and non-representative and non-competitive Apple’s testing population is.

While I agree with much of the article's thesis, it sadly appears to ignore the current impact of LLMs ...

> it’s never been easier to read new ideas, experiment with ideas, and build upon & grow those ideas with other strong thinkers on the web, owning that content all along.

But, "ownership" ? Today if you publish a blog, you don't really own the content at all. An LLM will come scrape the site and regenerate a copyright-free version to the majority of eyeballs who might otherwise land on your page. Without major changes to Fair Use, posting a blog is (now more than ever) a release of your rights to your content.

I believe a missing component here might be DRM for common bloggers. Most of the model of the "old" web envisions a system that is moving copies of content-- typically verbatim copies-- from machine to machine. But in the era of generative AI, there's the chance that the majority of content that reaches the reader is never a verbatim copy of the original.

1) Assume the buyer/seller holds capital from sources that the majority of the market considers “illicit” and/or is legally sanctioned and/or physically frozen or restricted. Aka the capital can never be called (or at a discount that is unknowable) or the transaction could be later legally reversed or nullified by one or more legal entities. But of course the StableCoin market maker fails to communicate this risk. Therefore the real value of either side of the trade could be zero despite the non-zero StableCoins being transferred. Thus that’s not really a “trade” because there are hidden substantial risks.

2) Along the lines of Matt Levine “Stablecoin treasury strategy?” Consider that the buyer is a publicly listed company, and they fundraise based upon purchase of the digital asset. Then you are doing what most banks consider is not trading but fueling speculation (and normally you can’t expose average retail investors to these risks).

The innovation of StableCoins is much less about Capitalism and much more about re-packaging fraud. And given how lax the prosecution of fraud was during the Financial Crisis, there’s a big meta-bet that StableCoin “traders” will never face losses.

Another key point is that you might download a Llama model and implicitly get a ton of copyright-protected content. Versus with a search engine you’re just connected to the source making it available.

And would the LLM deter a full purchase? If the LLM gives you your fill for free, then maybe yes. Or, maybe it’s more like a 30-second preview of a hit single, which converts into a $20 purchase of the full album. Best to sue the LLM provider today and then you can get some color on the actual consumer impact through legal discovery or similar means.

At the end of the day, it means a lot to the candidate if the company _wants to compete_ for a hire, especially in the current economy (layoff-friendly and SWE saturated, especially versus 10 years ago). A story like “your options could be worth $XXX in 4 years” I hope is not seen as competitive today.

By chance has your employer posted on HN who’s hiring?

That’s indeed critical, but most Director-level managers and below have very little control of how well the business model serves the OKRs. Yes the OKRs need to be achieved and help make the business work, but e.g. if the business model’s margins are just too tepid or if the VC’s expected revenue growth (exponential?) will never actually realize, then there is really zero material value to the shipped product. Hence the focus on a happy team that’s shipping, because at least that provides some technological value. And build a network you can bring to your next gig—- because that’s what gets you the next job.

There are rare cases where a team might discover a new business model or impress a whale customer, and then the business model fundamentally changes.

Yes there is risk the “bean counters” or CFO / COO office will want to cut the cord (especially now tech hiring is in a recession). But tech moves fast; those bean counters will likely end up owning shares of a zombie in the next 5-7 years. And their game is to cash out, not build a future.

And if the business model actually works, then keep at those OKRs and everybody should win. Good business models are where stupid can succeed; the team has the right levers.

Interesting to compare this $200 pricing with the recent launch of Amazon Nova, which has not-equivalent-but-impressive performance for 1/10th the cost per million tokens. (Or perhaps OpenAI "shipmas" will include a competing product in the next few days, hence Amazon released early?)

See e.g.: https://mastodon.social/@mhoye/113595564770070726

Branching out like this is critically important even if your company has senior folks who can give you helpful feedback, since your own company will have its own biases.