I’m sorry but the gotcha here is that.. the owner is in a family that also owns an air charter business with all of four small private jets and an air-ambulance business?
Give me a break, what does this have anything to do with the content of the article.
You can use any one of many MVNOs to get unlimited data for around that price, say less adjusted for household income, in the USA.
A favorite of mine is https://www.usmobile.com/ which is $25/mo list price (and less if you pay for the year, or if they're having a sale) which will give you Unlimited Data and 1GB a month of global roaming data
Only some places. Netherlands is €45-60 for 1 gbps (we don't make 4x-6x the money Spaniards do), unless you live in an area that actually sees multi-line competition.
We do have an interesting sidegrade: 5G Klik & Klaar from Odido (formerly T-Mobile / Deutsche Telekom) for €26. If you point it the right way out your window, you can get 700-1000 mbps down and 150 (capped) mbps up. Ping is around 35ms. Horrid modem firmware though, you get ping spikes up to 400-850ms (!!) under load due to bufferbloat, but you can of course solve that with your own router and SQM :+)
In the U.S. I perceive MVNOs to be a scam. Like Tracfone was OK in 2011 but somewhere afterwards it became normal to go around rural upstate NY and no service and go around NYC and no service and go to LA and no service.
This year I got a real phone with a real plan and I have coverage in many places now me I can finally see why people get excited about apps.
That's kind of a broad brush, Google Fi is great, especially the fact that they work mostly seamlessly for the same price in like every country, and they're an MVNO.
It proves that you can’t trust the claim that “it is the same network”, I mean it is the same network but you may find yourself riding the back of the bus and there is no independent way to check what service you are actually getting.
Well I never expected it to be treated exactly the same as their first party customers, did you? Especially if I’m paying a much lower rate. Just have to evaluate the actual results, and hop if you’re unhappy. I’ve been extremely happy with mine, so I’ve stuck with it. It’s a bad choice if you’re out and about a lot, since it’s not cheap when you go unlimited data, but working from home on WiFi, the metered option, I end up paying like $30-$40/mo, and there’s no need to go get a new sim when I travel. For a different lifestyle shape, I’d be shopping for one that fit that better.
I have both T-Mobile via a family plan and US Mobile (AT&T MVNO) via a yearly plan.
US Mobile serves as my data eSIM, where it gives me unlimited hotspot 20GB of roaming/month. Previously I bought eSIMs when traveling since T-Mobile is only 5GB/mo hotspot/roaming and earlier at 256 Kbps.
T-Mobile is better for calls and international texts, due to it being unlimited. I also prefer keeping a non-MVNO as my call/text number so I can go to a T-Mobile store and activate a spare phone if I lose mine (which I never did), or my phone fails. With US Mobile, I'm not sure how I'd recover a lost phone.
Since the Pixel 10 Pro lacks a SIM card slot, this is important. But hey, I used my Pixel 3 on Sprint with eSIM; I went T-Mobile 3 months before they merged.
US Mobile has done well with me, although anything not-T-Mobile is really slow nowadays.
I do use US Mobile, and I recently switched to it because T-mobile made it so difficult to pay a bill, it was nearly impossible to get them to accept money.
And a ~decade ago in SF I did have Sonic 1Gbps symmetric fiber for something like $40 or $50/month, but that too is twice the cost of Italy.
I put heated grips on my motorcycle. I thought it seemed dumb, your hands are out in the wind, and the back of your hands will still get cold. Nah, it warms up your whole body and it's a total game changer.
Public disclosure of Mythos was April 7 and leaked happened in March, but it's been heavily delayed for well-known reasons.
That said, as the frontier moves, "months old" becomes more and more useful. Opus-tier models are being used to write serious software, so we're going to start seeing open models pick up a lot more usage imo.
Yeah, I feel like all of the bad downtimes happen during American business hours. We use GitHub at work in Europe and I don't remember it ever being down or broken between 0700 and 1700 local time.
That’s statistically just luck then - plenty of outages this year already in Berlin time during work hours - I do remember the forced breaks with colleagues for sure.
The thread here doesn't explain why GPL might be better. So I'll try.
You're correct, with MIT there are a lot less restrictions. I can make GPL or pretty much any other license. Including one that I sell and never have to release the source of.
The latter option means if you make a product off of it, you have no obligation to share or even fund upstream development. This kind of situation has strangled other products.
Consider if Linux was released under MIT. Then companies like Oracle and RedHat (now owned by IBM) who have strong incentives to keep improvements to themselves and fund a lot of development would never share those improvements. Linux is the most used operating system in the world because of _everyone_ contributing back. But a MBA would want to privitize the profits.
If you care about the long term openness of a product, then GPL is hard to beat.
> Hard to sell it as anything but an upgrade if you care about open source.
Quite the opposite. We care about these freedoms enough that we want everyone to enjoy them. We don't want a third party to take this work and use it to lock more people into their proprietary software.
The ideological split likely comes from whether you care more about developers having the freedom to do whatever they want, or do you care about users having access to software which works the way they want it to.
This is, I'm sorry to say, simply not true. Anthropic and Open AI are materially ahead of every open source model out there at this time. The best they can hope to do is be Sonnet-adjacent, and even then I have not seen it.
> are materially ahead of every open source model out there at this time
They aren't. Any difference is in sampling parameters and post-training flavor choices. These aren't things that are "materially ahead", that's basically just LLM themes.
Listen, I want more open weight models in the world. They create entrepreneurial opportunities and support use cases which the foundation labs don’t want to support.
But open weight models are consistently three to six months behind on performance compared to closed models, as confirmed by both benchmarks and personal use. They’re closer on coding and much further away on non-coding tasks.
There are theories as to why these models lag, which I won’t get into. But anyone claiming open-weight models are close to closed-weight models is ignoring significant evidence to the contrary.
The onus isn’t on me. It’s on anyone contradicting findings by most benchmarks, because most of them show a clear advantage for Opus and GPT over OSS models.
What's amazing is that LLM technologies are so immature that even basic engineering diligence isn't being done. (Like detecting token loops, for example.)
Give me a break, what does this have anything to do with the content of the article.