Is the profession cached in the data when they leave the job? And does the data attribute 2 entries for someone with 2 careers. That’s the question I think
They explain it in the article. Someone, often the funeral director filling out the death certificate, asks what the deceased did for most of their working life.
I’m a little skeptical of the category “ambulance drivers; not emergency medical technicians” as reliably coded, because people will often say so-and-so “drove an ambulance” when they were actually an EMT or paramedic. But it’s also not clear to me that would invalidate the findings.
Thank you, as much as a 160 page book about fonts is probably thrilling, I probably won’t get around to it for a while so was going to ask for the tl;dr
There is no compelling evidence that san-serif fonts are less readable than serif fonts under any circumstance, despite the oft-repeated lore that typographers consider serif fonts to be more readable than sans-serif fonts.
A few months ago, on a price hike announcement for Office365 posted here to YC HN, I made a comment that MDM is expensive, had high MOQs (Mosyle, Jamf) and fundamentally still doesn’t work as well as Windows and Intune. I also lamented that Microsoft keeps hiking prices and that it’s silly we’re normalising $20+ per user per month when we used to pay once for these things.
I lamented how Apple hardware is now the same price as the other vendors, yet best in class for quality and how Dell and HP are hiking their laptop pricing lately due to supply shortages. Especially on their pro lines, which have been quoted to me as twice the price of equivalent MacBooks.
I mentioned Apple would be silly not to make a further global move into MDM and email hosting territory. Particularly for small business owners: 1-10 person shops and retail who use mostly cloud based POS applications.
Others responded at the time, and I agreed with it, that it seems unlikely Apple would make a business move. After all, they don’t have much history with business, or perhaps they did but they didn’t like the market and wrapped it up.
Well, with this announcement, and with the confirmation that *Apple native email hosting is coming* I am very excited to trial it when it lands in April. Over the last few months, our small business has already cracked it and downgraded most of our email hosting to Exchange Plan 1 and dropped the desktop Office suite in favour of Pages and Numbers, which are both free and absolutely working fine. In fact, I’ve found Pages to be less laggy and more stable than Word in very large documents such as 300+ pages. The logical next step for us is to fully drop our third-party MDM and review whether Apple’s native MDM, email and identity systems are adequate for transition. We have saved thousands of $$ so far and stand to save a lot more!
Is it though? I would say 'proof of concept' instead.
The fact that it's running on a phone now just sets the goalpost and gets everyone excited about it: add more RAM and GPU to the next iPhone and it's not a toy anymore. Co-incidentally, phone companies also have thousands of engineers sitting around wondering what to do in their next release to convince consumers to buy ...
'Toy' and 'proof of concept' are synonymous. What this really opens up is running non-toy models like Qwen3.5 35B-A3B, which are still considered very large in the mobile device context. Yes, it's too slow for interactivity, but if you acknowledge that it's supposed to deliver "Pro" level inference it works quite fine.
> add more RAM and GPU to the next iPhone and it's not a toy anymore
We're not going to get more RAM and GPU in consumer devices.
All of the supply is going into data center build outs. As the hyper scaler gamble on the future continues, we get left with weaker (or more expensive) devices - not stronger ones.
The market makers make more money if we're left to thin clients. They're also the ones who control supply and the shapes of devices.
We're talking six orders of magnitude difference between 0.6t/sec and 35kt/sec.
While there are problems that can be solved with 0.6t/sec, particularly offline, at the edge, in the field applications, these are currently vastly outnumbered by other applications.
absolutely, however this doesn’t mean we should abandon local. i can’t remember who, but someone in the ai nuts and bolts arena said “smaller local models is where the exciting stuff is happening right now. it’s the area real fast progression is happening.” and it seems to be true. new big models aren’t making near the leaps smaller models are.
it’s so important we keep moving forward on running locally for the same reason it was important for us to use open standards when building the internet. if we hadn’t we’d all be connected through aol with 10 hours/month allowed internet usage and termed in through a sun workstation renting cpu cycles from some mainframe company at like “you’ve got 10,000 cpu cycles left on your monthly plan, please deposit $500 for 5,000 more.”
while all of this this is before my time, i’ve heard and read so many horror stories about how people could only connect through dumb terminals to “you wouldn’t believe it, computers then were the size of buildings” 1000 miles away and had to sign up for workload timeslots. make no mistake, this is the future these companies want, they want us to rent everything and own nothing.
Local is enough for most users as long as they're willing to accept a non-realtime response - which is a real limitation (especially for personal agentic use) but not a very significant one. The hardware is not that expensive, a single user's needs aren't going to saturate a state-of-the art AI datacenter rack or anything like that. Not even for heavy agentic workloads.
You rent your broadband internet. It's not a foreign concept that we can't own all the infra.
I don't know why we can't just get over the local compute thing and instead build open infra and models in the cloud. That's literally the only way we'll be able to keep pace with hyperscalers.
Local is not going to benefit 99% of use cases. It's a silly toy.
If we build open infra for cloud-based provisioning and inference, we could build a future we still have some ownership in. We'd be able to fine tune large models for lots of purposes. We wouldn't be locked in to major vendors.
I was wondering if they’ve taken into account that one of the test subjects had a prior fractured vertebrae (and the other not). I know a lot of time has passed, but I expect that it would probably never be possible to fully recover from an injury like this? And therefore there would be differences in overall fitness between them?
For example … skeletal and muscular compensation. Nerve damage. Damage to lymph system due to surgeries.
Guys, cars are specifically designed to work for their entire life in areas where there is no coverage. Thus, there are plenty of EVs, probably all of them, where you can just open the telematics box and pull the SIM card. Then the software will never update, and the car will just stay in whatever state it’s currently in.
The moment you do this things will stop working: for example phone app, but your car will be more or less unshittified.
And yes, there should probably be a law that makes this easier for the consumer to do for example mandating a plastic hatch or something.
But connected cars are not the end of the world and if we normalise disconnecting cars (make an online list or something of cars that are confirmed to work fine afterwards) then we’ve basically solved the issue. Remember, EVs are not the problem, and this kind of stuff will be mainstream/common knowledge once adoption rates are higher.
Yes the Tesla BLE seems to be one of the better ones and works in the middle of nowhere even without cell reception, so it probably would still work with the SIM pulled on the car side.
The documents pack is like an A4 folder 1cm thick. He received close to 100 in one day. Enough for his mailbox to get full and for the postie to dump most of it on the lawn
Great, electrical and mechanical engineers are already underpaid, under appreciated and overworked.
I’ve always found it amusing that lawyers and accountants flash their license around with pride, put it in their email signatures, etc. and it provides authority for them. When people see chartered lawyer or accountant, they respect that person and take their advice.
An engineering license, on the other hand, is so rarely talked about and never quoted in email signatures and the like. And even as a chartered engineer, people really just treat you like a mechanic or a trade and mostly ignore your advice anyway. Yet, it takes the longest to get, and has the most exams/hardest subjects, except for Doctors.
Anything to make an Engineering license worth more is good in my books. Besides, in my experience ChatGPT gives wrong advice for engineering around 50% of the time and therefore probably has no business giving it.
1.35x speed up in single core versus M3 Max. Insane. Everyone else has failed to bump single core performance in years. Where are these single core gains coming from?
Waiting for the first pro line phone with both the Apple modem and Apple wifi/BT stack in it. Battery life is always a struggle when the phone gets older.
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