If you were going to consider Bose, you should at least take a look at Sennheiser. They are similar in a “can’t really go too wrong” sense. Nice build quality, generally pretty flat and analytical usually.
They are such a standard response that presumably a real audiophile will come along to point out that their favorite model is much better, than a particular well known Sennheiser model, but as far as one can say in brand terms they are solid.
Sennheiser sold out to a Chinese factory, and recently even stopped producing their flagship stuff in-house. They're even shutting their "cheap" Irish factory down (where modern HD650s and HD660Ss were made).
All the Chinese-made Sennheiser stuff has awful QA.
Beyerdynamic announced earlier last year they're finally exiting pro and flagship tier stuff, and selling out to a Chinese equity firm.
Their build quality is exceptional, and they're built like tanks. The only problem, imo, is the Beyer house sound is very shouty and fatiguing, especially with the "990" versions of the product line over the years.
Disclaimer: I owned a Beyer DT880/600ohm (the neutral one of the 770/880/990 siblings), paired with an amp that could properly handle it. Its one of the few headphones I sold and did not retain in my collection, it deserved someone that could love it. The new Tesla-based drivers are better (such as that 1990), but still retain that Beyer sound.
I can't stand Beyerdynamic audio and don't understand why anyone recommends it. It has an awful treble peak you can't stop noticing once you hear it, and you can't drive their headphones without an amp.
I recommend HiFiMan Sundara/Ananda if they fit your head and there aren't any CPU fans in your room.
Hifiman QA is exceptionally bad, and they tend to not stand by their warranty, and their US repair facility is just some dude's house.
The threads on /r/headphones over Hifiman shafting them are numerous.
Disclaimer: I too had a Hifiman pair, they sounded great, but their physical design just didn't hold up to daily use, no matter how much I babied them.
That's probably true, they do look hard to repair.
My best sounding headphones are a pair of old Stax with the worst construction I've ever seen on anything, so I mostly keep them locked up assuming they'll break if I breathe in them.
Correction: OpenAI investors do take that risk. Some of the investors (e.g. Microsoft, Nvidia) dampen that risk by making such investment conditioned on boosting the investor's own revenue, a stock buyback of sorts.
Not really. It was not about stocks. It was the collapse of insurance companies at the core of 2008 crisis.
The same can happen now on the side of private credit that gradually offloads its junk to insurance companies (again):
As a result, private credit is on the rise as an investment option to compensate for this slowdown in traditional LBO (Figure 2, panel 2), and PE companies are actively growing the private credit side of their business by influencing the companies they control to help finance these operations. Life insurers are among these companies. For instance, KKR’s acquisition of 60 percent of Global Atlantic (a US life insurer) in 2020 cost KKR approximately $3billion.
It is the term "mathematically impossible" that caught my attention. Since it is about the future promise of OpenAI, one could debate the likelihood or "statistically improbable", but "mathematically impossible" implies some calculation, proof and certainty. Hence my curiosity.
I've seen some calculation I think from an HSBC analyst that it would take a monthly subscription of $200/mo. from some large portion of the US population for some insane number of years to break even.
OpenAI’s customer base is global. Using US population as the customer base is deliberately missing the big picture. The world population is more than 20X larger than the US population.
It’s also obvious that they’re selling heavily to businesses, not consumers. It’s not reasonable to expect consumers to drive demand for these services.
I'd be willing to bet that, like many US websites, OpenAI's users are at lest 60% American. Just because there's 20x more people out there doesn't mean they have the same exposure to American products.
For instance, China is an obvious one. So that's 35%+ of the population already mostly out of consideration.
>It’s also obvious that they’re selling heavily to businesses, not consumers.
I don't think a few thousand companies can outspend 200m users paying $200 a month. I won't call it a "mathematical impossibility", but the math also isn't math-ing here.
Even if you grant that OpenAI might be as successful as Apple at international expansion and support, that’s still only a non-US market about double the size of the US market.
Page 2:
We define agentic tools or agents as AI tools integrated into an IDE or a terminal that can manipulate the code directly (i.e., excluding web-based chat interfaces)
I often tell people that agentic programming tools are the best thing since cscope. The last 6 months I have not used cscope even once after decades of using it nearly daily.
Out of curiosity, if I wanted to setup cscope for a bunch of small projects, say dozens of prototypes in their own directory, would it be useful? Too broad?
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