No, that's the quality of candidates. I wish I was joking as a PhD holder for only 15yr.
A lot of skill of
is getting bled into the private sector because getting the PhD in a lot of regions doesn't mean the step up it used to. A lot of that comes from awarding them to layabouts doing "a gender critical analysis of ...".
Industry doesn't how/what/why they just wanted the 3 letters as a performance barrier to hire competants.
Those who can use it better, those who can't out who cheat are (for now) let down by obviously cheap and slightly crappy models.
The worry is in ~5yr time when the generic models catch up to this level (basic undergrad mind) that we need to worry about how to thin the herd. We could always go back to the tried and tested student staff engagement but most unis tried to turn themselves into sausage factories in thirst for the almighty dollar so the student/staff ratios are all off
Non-profit Open Source distributions also and already package and verify open source packages (arguably often with a higher quality of analysis than Red Hat).
You pay red hat for compliance reasons (availability of a support you'll never call, mostly).
Again. "AI" for what it is is just basic "ML". And say it with me ML has no form of agency.
This is a human screwing up and blaming their tools. Nothing to see move on.
Unfortunately there will be both the LLM crowd evangelicals and those demanding human jobs not be expunged in terms of progress and efficiency, but, sigh...
It was never a good word anyway. Infinitely better then Artificial intelligence (at least machine learning has machine and learning) but still bad.
I favor a lexicon which is more specific, like Markov Chains, Supervised Learning, etc.
In my view LLMs can keep the AI label exclusively (a bad technology deserves a bad name) and machine learning can walk slowly into the sunshine never to be seen again.
Xilinx has the best silicon. Everyone else is behind. Altera is basically dead thanks Intel. Lattice is nice for low power but performance-wise they are behind. Don't know much about Microchip, but from the little I've heard their tooling is a disaster even by the standards of FPGA tooling. Then there are Gowin (not bad, but Chinglish docs and everything), Gatemate (pretty innovative and vendor-backed nextpnr support - but only one low-mid FPGA with a promise to release chiplet assemblies of it latter). And Effinix - don't know much about them, do anyone have experience?
It's not. There's a duopoly between AMD (Xilinx) and Intel (Altera). There's more choice at the very low end but if you're going for a powerful FPGA (which is mostly what people need) those are the choices.
Think academic and small companies who don't pay for support opening corner case issues all the time publicly. They want none of the complex support unless you pay (reasonable imo).
And for those who forget RHEL for instance has to pay salaries to back port fixes and such and the same logic applies here.
Xilinx is/was an FPGA company until AMD bought them. Their primary revenue stream is selling chips. This is the equivalent of going back to the days of paid C/C++ compilers (anybody else remember that?).
Again that reasoning falls apart because they offer free Windows version. So basically those academic/small companies are incentivised to switch to Windows (or use Wine/Proton) to use this software?
And that's aside the fact that if support cases are the actual issue - they could (and probably already do that) just not allow free users to open/submit bug/support cases.
But you just showed you have deep pockets and they think they can get you to open it again every year for the rest of time.
Xilinx was never positioned that it made sense for them to open it up. If/when it gets run into the ground by AMD short sightedness they might just open it to claim that was the plan all along...
"no evidence of human to human transmission", was something repeated far too often and far too politically for me to take them serious on the next issue, serious or not.
> "It would spread when the carrier was <LARGELY> asymptomatic" , the largely is very important here otherwise containment would have been a lot different.
The main concerns for covid were also limited to a novel strain of a known virus type (again a KNOWN TYPE) being released into a global general populous with no inherent immunity. Aka expect ~5% of cases to probably have complications and some smaller %-age of that to be serious. If we didn't know what covid was we wouldn't be calling it "covid-19" to expressly describe which genus we're talking about. (Followed by general stupidity from people of pretending we don't know how other covid strains progress (regardless of any 'novel' effects)). Sill no sensible scenario put death rates >1% for anyone not in an at risk group. I mean everyone forgets the south-park sars skit that there's a 97% chance of catching that practically without symptoms. Why this became polarised about steam rolling through untested technology onto the populous is identical to the "green coal" and "tech will solve the carbon footprint" thinking...
Speaking from the academic sector if they're all able to meet ALL of the admissions criteria there would be no justification their presence, they would be in demand.
The sad reality is given the unrealistic expansion of the education sector they were clearly admitting people who needed to justify being there...
Yes the movie was vaguely inspired by the science.
The AMOC has been studied for a long time, including the effects of its possible weakening.
Where the movie is firmly in fantasy land of course is in the timeline, where the effects are nearly instant rather than likely over decades in reality.
A lot of skill of is getting bled into the private sector because getting the PhD in a lot of regions doesn't mean the step up it used to. A lot of that comes from awarding them to layabouts doing "a gender critical analysis of ...".
Industry doesn't how/what/why they just wanted the 3 letters as a performance barrier to hire competants.
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