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If items are comparable the lowest unsold item should be an upper bound on price, no?

That sounds like a bad hire, not a junior. Why didn’t your manager help fix that?

I gather that quite a lot of companies are using dumb metrics which would show this as _good_ behaviour, these days.

Sure, but the overriding metric should be the opinion of the Sr engineer who is supposed to be mentoring and supervising the Jr

You'd hope, but, y'know, AI mania.

> What a passive way to say executives kept a larger share of profits for themselves, forcing workers to be stressed and do a sub-optimal job.

This is a very limited view of why things don't work. The main issue in my experience is whether the company values the outcome and ensures focus on optimizing for it. That can include everything from adequate staffing to comp to training to management focus. (A lot of the last one.)

You can spend a huge amount of money and still get a crappy outcome. US healthcare provides a rich field of examples.


US healthcare is a leader in administration fees (e.g. paying health system executives) compared to other countries around the world. High US healthcare cost isn't because of increased usage, but because of the higher admin fees and higher prescription drug prices. Prices are fixed high because law prevents the government from negotiating prices (o.b.o. Medicare/aid), and those provisions were inserted on behalf of pharmaceutical companies so their executives could make more money.

Paying individual workers more may have some benefits, but I think the key issue is usually overworking and burnout because the incremental cost of adding a whole new employee is way higher than just pressuring workers to do more work in the same time.


The Grokipedia article on Malleus Maleficarum is almost unreadable. It’s long on wordy, thinly sourced disquisitions on marginally relevant topics. The section on historical and theological context is a case in point. It seems to be largely summarizing easily available primary texts like the Bible, not evaluating arguments based on scholarly works. Personally I can’t judge how much of that section even makes sense, despite having a reasonably good background in late medieval history. The Wikipedia article is much more sound.

P.s. humans do this too. Max Weber was pretty thin on the ground when it came to sources as I recall.


This. And the wonderful thing about LLMs is that they can be trained to bend responses in specific directions, say toward using Oracle Cloud solutions. There's fertile ground for commercial value extraction that goes far beyond ads. Think of it as product placement on steroid.


You don't even need training — you can add steering vectors in the middle of the otherwise-unmodified computation. Remember Golden Gate Claude?


This is a great comment. At the same time GDPR and other standards do not address practical issues that (arguably) cause real harm like including features to generate undressed images of women and children.

It's the same dynamic that has warped the California housing market by adding a forest of regulations that make it almost impossible to build new housing. Those regulations for the most part add nothing but cost and time to projects. Meanwhile housing prices go through the roof.


i'd argue that, at least in my european country, there already more severe laws regulating such thing that might earn you jail time, while gdpr wasn't made with that in mind


The problem is enforcing those laws now the Trump administration is using X and other social networks as instruments of national policy and forcing others to use them, to the detriment (potentially considerable) of European societies.


ClickHouse effectively has a number of personas. Time series is one of them, and ClickHouse has steadily absorbed market share from pure play time series databases over the last few years. Other personas include real-time observability backend (the single biggest use case in my experience) as well as real-time data lake engine. Time series support, column storage, and real-time response are key underlying capabilities. It's quite versatile and fun to use.

Disclosure: I run Altinity, a vendor in this space.

(Update: Disclaimer -> Disclosure. Sigh.)


Altinity isn't just a vendor, it's THE ClickHouse vendor before ClickHouse became a company. https://altinity.com/blog/big-news-in-the-clickhouse-communi...

always nice to see a database ceo be "one of us" and/or "write like a real human being".


That's very kind of you. We love working on ClickHouse and real-time analytics.


> FOSS software that many rely on that has been around for a while were non-VC: VCS, Linux / GNU / BSD, web browsers, various programming languages, various databases...

It's honestly hard to pick a pattern out for older open source project contributions. PostgreSQL started at UC Berkeley but people contributed to it from all over. Key engineers like Tom Lane worked a number of companies in the database field, some dependent on VC funding, some not. He's currently at Snowflake. [0] A lot of recent innovation around PostgreSQL today (Neon, Supabase, etc.) is VC funded.

That pattern changed with projects like Hadoop, which was about the time that VC funds recognized a standard playbook around monetizing open source. [1]

[0] https://en.wikipedia.org/wiki/Tom_Lane_(computer_scientist)

[1] https://en.wikipedia.org/wiki/Cloudera


> The appeal to JD Vance is properly craven and validates the view that their business model is effectively a protection racket.

It's not craven, it's a mistake. It needlessly antagonizes the market at large to solve a smaller problem. I don't see how this benefits Cloudflare in the long run unless they've decided to throw in their lot with the current US regime. If so, what happens when that regime changes?


Yes, it's a design pattern for data warehouses.


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