I have professional experience with all listed (both on vendor and user side), other than hyper-v. Nutanix is probably the closest true solution to VMware, although not 1:1. VMware is an excellent piece of tech run by people who DGAF and just want the $.
I like Proxmox a lot, but it is technically and commercially several years behind. There is no moat, and when stuff slides sideways, you need to understand what's going on (e.g a competent sysadmin). That is changing with the recent Proxmox NA announcement, but still not there.
OpenStack is not the same product at all, and is about an order of magnitude more complicated. Much more powerful, but instead of a good sysadmin, you probably want a team (and maybe some core devs).
LLMs are not defacto bad at writing and are not defacto distinguishable from human writers. Lots of people are just lazy, never customize anything, and tell chatgpt to make them a post about x to be a "thought leader". Most are even lazier and blatantly rip off some else for their own means.
However, it is perfectly possible to have an LLM imitate an existing corpus of writing (yours or someone else) and with a good prompt, idea, and editing, to produce high quality writing (in every sense of the word) with an LLM.
If you're going to put that level of effort in, just write the thing yourself. It will be a comparable level of effort and you'll learn something doing it. Your readers will also appreciate hearing your real voice.
Kobo Elipsa (1) is my preferred reader for PDFs/papers in particular. Genuinely good product, software works well enough and presents as USB mass storage, long battery life. Other than perhaps a more responsive, USB-C pen, IDK what else you could improve on.
We do these things not because they are easy, but because we thought they would be easy.
I also think there is an incredible transference of skills from one domain to another. This is a risk (everything looks like nail when you have hammer), but there are many domains that are very mature where you can learn a trick and apply it to a new domain over and over again.
I feel like I am living in a different universe to the author. My beef still costs around $5/lb, my milk is still roughly $3/gal, similar on a lot of staples I buy regularly. My shirts cost about $5 for a t-shirt, and my jeans cost $20 or so. I spend 80% at Costco and 20% at King Soopers (Kroger).
Ancedota I know, but the author is writing like Big Business has 100% coverage of the whole market.
The article contains 31 references. Of course, no report on the _general_ market trends are going to cover every anecdote in the US. It could be that the staples you mentioned aren't affected to the same degree. How about your non-staples? How about cars? Houses? Vacation expenses?
In fact, your comment could be read as the exception that proves the rule: you haven't been affected by rising costs because you stick to staples and avoid "frivolous" purchases (that is, you live frugally, as suggested by the article).
Energy stands out as actually being noteworthy, but is not discussed in the article compared to food, consumer goods. It is pretty inelastic for most people, especially gas/diesel.
Cattle herds are at historic lows to the point that meat packers have closed a handful of facilities, laid off thousands, and still have excess capacity. Your beef prices are either not accurate or not representative of the macro.
Americans buy beef in a roll? I had to look this up.
In oz I have only seen this kind of packaging for pet food or lunch meat (colloquially 80/20 in this case would probably refer to the meat to sawdust ratio).
Otherwise prices in Australia are similar but for beef mince from the supermarket meat counter.
The pre-packaged rolls/tubes are the cheap option -most but not all supermarkets have them. All supermarkets have a meat counter with fresh meats. Obviously the fresh meats are more expensive and of course aged meats are way more expensive.
When the general pop talks about beef prices they’re not referring to premium beef (organic, grass fed) they are talking about 80/20 at working class retailers.
In spring 1989, students and workers occupied Beijing's Tiananmen Square demanding democratic reform, free press, and an end to corruption. The protests grew through April–May, peaking with hundreds of thousands of demonstrators.
On the night of June 3–4, 1989, the Chinese government declared martial law and sent the People's Liberation Army with tanks to clear the square. Troops fired on protesters and civilians. Estimates of deaths range from several hundred to several thousand; China has never released a full accounting.
The iconic image from the protests is "Tank Man" — a lone man standing before a column of tanks on June 5.
>Aftermath: arrests and executions of participants, censorship of the topic within China (it's heavily suppressed on the Chinese internet), and international sanctions that were later eased.
Want more detail on any aspect — the causes, the crackdown, or its legacy?
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It is fairly complete and doesn't exactly paint a good picture of PLA, I am curious if anyone else has been denied.
I specifically think many of the hyperscalers are a bad choice to platform on because they have their own models. You cannot build a viable platform business while directly competing with your potential customers and partners, the incentives are too out-of-whack.
Stripe/CF/Vercel are presumably not going to do foundational model development, so safe there. They are already platform plays to begin with, this strengthens that position.
I can bet AWS won't be doing any serious foundational model development, I knew folks on their AGI team now it's not even big enough to compete with the chinese labs... :3
Azure I am not sure how long they will be around doing MAI thinking models, I feel like they will pivot to smaller simpler enterprise only models. And given they already own npm and github openrouter might have made sense though I think they might buy huggingface, not that I want them to but it just feels like it.
Google IDK what google is doing exactly all my friends I knew in the AI teams are out a while ago, so maybe they are doing something really great we just don't know yet.
But I feel like it makes sense for hyperscalers since they can push their weight around a lot better than openrouter and can offer extra compute when providers are under crunch at higher prices to handle spikes. I think they are the only ones who can truly do fluid compute for GPU/AI in the short term(next couple of years).
Maybe after than we might have other big players in the space. Given the sheer scale of buildout I can almost guarantee we will see this pivot, otherwise there is too much hardware and token prices are too high.
IDK what happened to AWS, other than Amazon's cultural reputation is so bad it may be hard to hire the best eng.
Azure, GCP, I generally agree. The Neoclouds will drive prices into the basement, I think custom silicon/data moat/ease to deploy will be the hyperscaler's edge.
I would not be suprised to see Cloudflare launch a competitor in the next 6 mo. They've done similar before, and it fits their "middle man/service provider" vibe well.
OpenRouter is good because of the market ecosystem play. I see this fragmenting similar to game distribution -- a handful of 3rd-party disti, 1 first-party disti, and some exclusivity/lockup/limited support outside of first party.
I am very interested to see how Stripe develops this. I would be happy to see a less-clunky top-up solution, for example, perhaps with micropayments. Not sure what else they are planning.
Part of the issue -- cloudlfare is an inference provider for models (eg glm-4.7-flash) on openrouter. Very very hard to get partners to signup if you're going to directly compete with them.
It's pretty bad though compared to openrouter tbh. I expected it to have some inbuilt cloudflare access access control, but it doesn't have that for improving security either within the team Easier to just use openrouter tbh.
I like Proxmox a lot, but it is technically and commercially several years behind. There is no moat, and when stuff slides sideways, you need to understand what's going on (e.g a competent sysadmin). That is changing with the recent Proxmox NA announcement, but still not there.
OpenStack is not the same product at all, and is about an order of magnitude more complicated. Much more powerful, but instead of a good sysadmin, you probably want a team (and maybe some core devs).
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