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Comment: Re:What use? (Score 1) 138 138

> WTF?

Maybe distraction tactics? "Hurr durr we have Tor and PGP, you can trust us now, pls, pretty pls, we promise to not abuse, pinky pie promise, we'll be good now!!!11". But more realistically it's to log IP accesses to key server, so they can make nice fb target address sender home ip correlation maps of interesting people who are foolish enough to fall for this trick. That's all assuming their plan is indeed to replace Keybase tried to do that already with not much success, but facebook has far much better social leverage to get traction than mere app appers doing twitter apps.

Comment: Re:RAND PAUL REVOLUTION (Score 1) 500 500

> Term limits aren't necessarily a good thing
While your argumentation is sound, incubents for life are not great either - status quo tends to get more and more entrenched - bureaucracy keeps growing indefinitely even after system achieves base performance. All the problems of executive branch seeping into legislative.

When country starts to suck, people get disillusioned with politics, lethargic. This further amplifies the feedback loop - less informed voters, more need for term limits to enact at least some change.

Otherwise posts of career politicians are still replaced due to pawn exchanges, death and occasional corruption scandal - which luckily prevents efficacy converging towards zero as time goes. However members are keeping post for two decades or more in extreme cases, and we get very nasty things - paradoxically short sighted planning due to populism (because low quality voter base), rampant coat changing, high level corruption - old guard is well connected for it, compared to n00bs in office.

> if you replace people at too high a rate
It's an interesting game theoretic/social problem - design optimum algorithm to dynamically adjust term limits. Perhaps applying progressive handicap to ballot results depending on time already in office. But just like fixed term limits could be counterproductive, no term limits at all could be sticking head in the sand, hardly optimal.

Comment: Re:Networking (Score 1) 227 227

> vswitch, ip balancer gear etc

But this is just tiny fraction of stuff done, mainly low tier last mile or local company DC. NOCs of big internet companies and ISPs operate with far bigger assortment of gear and technology. HW/SW tasks tend to be more intertwined plus ton of stuff which can go wrong and speed of troubleshooting is important.

Redundancy solves hardware problems, but unfortunately human errors tend to be more costly in networks - by their nature these are usually far less compartmentalized than "software" when looked at from bird's view. Put simply, incompetent operator can do far more damage.

Finally, OP makes it sound like all it takes is just CCIE and not being an immigrant. But the cert is just an entry pass and netops job market is is several magnitudes smaller, so there are proportionally less H1B workers doing it.
I'd not recommend to OP doing this, unless he can get through CCIE fairly effortlessly just by using years of experience. That being said, basic programming skills is a must for such a job to get familiar with internal tooling used at any given place (eg here he'd need ability to parse bash,php,python,ruby at minimum).

Comment: Re:Stop calling it AI. (Score 1) 78 78

The formal logic approach is still the only one that has a theoretical possibility of creating some aspects of true intelligence.

Sort of. We actually do have fairly robust theorem solvers written in prolog, but thats not enough. Intuitively, "true AI" works like extracting formal logic theorems out of huge set of before/after data fed to a blackbox.

Just like humans do something intuitively at first, with some degree of success, but when they find rational backgrounds (with help of formal logic rigor) behind that intuition, it gives significant accuracy boost. The two work in tandem - formal rigor is toothless when facing the totally unknown, but can explain it after intuitive models are trained and it can feed its hypotheses into them in lieu of farmed data.

Trouble is that layered NN camp ("intuitive") and formal logic camps are still too separated. But corporate interests will force merger to a degree.

This is most visible in speech recognition, and more recently, vision where formal grammar models sit above low level intuition NN, or better said, directs training of layers so it can work with less data and reason about unknown inputs because it actually "understands" what's going on on a formal level.

Comment: Re:They reall don't mean this (Score 1) 78 78

Yes and no. Fun stuff is still done, especially in terms of computer vision and hearing - there are numerous stakeholders.

However zero interest in actual research, it's all engineering.

They do not want code monkeys, as you still do need a PhD-level knownledge to even design this kind of stuff, just like computers in the 60s. Thats why companies are bought and people are hired only if they have something useful to show already in applicable field.

Comment: Re:Price won't come down (Score 1) 317 317

Don't forget about valence electrons which affect net ion charge you can transport in a chemical bond - it's 1 Li vs 3 Alu. The reason why alu sucks weight wise is first and foremost unfavourable chemistry for cathode counterpart, not atomic number.
Alu does have interesting properties, though:
While it indeed have a magnitude less specific capacity, these cells can serve as interesting interim in place of ultra capacitors (regenertive braking etc). Li reactivity is both blessing and curse.

Experiments must be reproducible; they should all fail in the same way.