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Explanation of differences between corvettes, frigates, destroyers and cruisers (as recorded from a Quora discussion):

 Minesweeper: it's job to to find and remove mines to clear a harbor or other restricted waters for maritime access and egress. There can also be minelayers which do the opposite.
Corvettes: They were smaller sailing vessels used for coastal commerce and and defense. They were fast and maneuverable. Today some navies use these in a similar way but they are not sail powered. The US Navy has similar vessels called Littoral Combat Ships.
Now to Frigates, Destroyers and Cruisers. These range from smallest to largest in the same order. Cruisers tend to be picket ships specializing in air defense. They also have Tomahawk missiles that can be launched against land or sea targets.
Destoyers are smaller than Cruisers and used to be more for submarine warfare and then became a smaller version of a cruisers with much the same mission. Frigates were the smallest. They were primarlily anti-submarine platforms.
Frigates and Destroyers have 76mm cannons that could be used for support of an amphibious landing, but they were limited in this regard. There are no more active Frigates in the US Navy.
Destroyers have more capabilities, while being able to do the same job as the Frigate. There is always talk about building Frigates to support littoral (coastal operations) but budgets always seem to favor larger combatants.
The Destroyer or DDG (G for Guided Missile) is the workhorse of US Navy surface combatants today. These are mainly Arleigh Burke Class ships.
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***THREAD***

I’ve been on the phone with colleagues about the hack all morning. None of us can figure out why #CISA chose this particular response to the breach. Couple of things struck us as curious.

The agencies targeted are not responding how you might expect...
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David Evans
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There has been speculation that changes to the way the internet is implemented will be rolled out to allow access only to authorized sites.

Some think this is impossible

I'm here to tell you it is not, and very likely.

Allowing access only to white listed IP addresses is easy.

The vast majority access the internet via their Internet Service Provider, and ISP's can easily block client access to any IP address they choose.

China has been doing this for years.

This is how firewalls work, and is much lower level than DNS blocking.

I would imagine this will be rolled out to 'Combat the ever growing threat of Cyber Attacks'.

Most people only use a few thousand services like Twitter, Facebook, Amazon, Google, Microsoft, TikTok, Snapchat, Instagram, Reddit etc, Walmart, Costco, Tesco, Morrisons etc. as it is.

It will be easy over time to require 'legal registration' for any and all other services and sites.

We already took a step toward this years ago anyway, so this is just the logical next step.

As 5G technology is rolled out in your city, more and more control is being introduced at the street level, using what are known as 'Edge Servers'.

While making services faster to access, it also allows an additional layer of security and access control at the local level.
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Nathaniel Ho-Ho-Horadam
Nathaniel Ho-Ho-Horada...
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If you're looking at GA EV data and thinking maybe the reason D turnout looks strong relative to 11/3 is because after 2 months of Trump/GOP officials trashing mail-in ballots GOP voters are ditching it for E-Day instead...

Boy do I have some mindblowing statistics for you...

I compared the current mail-in voting tallies for each Congressional District against November mail-in votes for those districts.

The statewide figure currently sits at 62%. Guess which district leads the state?

You guessed it!

GA-14 at 69%. Marjorie Taylor Greene's district.

#2 is GA-8 at 68%.

Jody Hice of "I'm joining Marjorie Taylor Greene in her effort to throw out the Electoral College vote" fame.

GA-9 (Doug Collins) is above the state average at 64%.

IF Republicans were ditching absentee balloting en masse to vote on Election Day, you'd expect to see it by now. But the early *in-person* voting totals are what's actually lagging, not mail-in voting.

Pardon the sloppy spreadsheet, but those last 4 columns are what I'm looking at. The last one in particular.
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Hemant Mohapatra
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@MohapatraHemant
~8yrs ago (Dec’12) I got a job @Google. Those were still early days of cloud. I joined GCP @<150M ARR & left @~4B (excld GSuite). Learned from some of the smartest ppl in tech. But we also got a LOT wrong that took yrs to fix. Much of it now public, but here’s my ring-side view👇

By 2008, Google had everything going for it w.r.t. Cloud and we should’ve been the market leaders, but we were either too early to market or too late. What did we do wrong? (1) bad timing (2) worse productization & (3) worst GTM.

We were 1st to “containers” (lxc) & container management (Borg) - since '03/04. But Docker took LXC, added cluster management, & launched 1st. Mesosphere launched DCOS. A lot of chairs were thrown around re: google losing this early battle, though K8 won the war, eventually 👏

We were 1st to “serverless” (AppEngine). GAE was our beachhead -- it was the biggest revenue source early on but the world wasn’t ready for serverless primitives. We also didn’t build auxiliary products fast enough. Clients that outgrew GAE wanted “building block” IaaS offerings.

1st to hadoop (map-reduce ‘04) but our hosted Hadoop launched in ‘15. AWS EMR was ~200M ARR by then. 1st to cloud storage (GFS ’03), but didn’t offer a filestore till ‘18! Customers were asking for it since 2014. Didn’t launch archival storage or direct interconnect till v. late.
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Giovanni Pagano
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@giovanni_pag
What are the implications of using hacked data for research?

A short thread inspired by the fact that, before AWs took it down, #Parler was extensively hacked and user data was leaked.

The #Parler dataset seems crazy interesting for doing research, and my first reaction after the breach was to shre it with other #CompSocSci ppl.

However, I started having second thoughts, so what follows is to organize ideas and have it somewhere I can look back to.

2/n

Generally speaking, as far as the ethics of research goes a good advice would be to handle hacked data with caution.

First of all, there's an issue of quality. Data might be altered or incomplete, and the source cannot be considered accountable (assuming src is anonymous).

3/n

Secondly and more importantly, a researcher using the data would probably be violating users’ consent and acting against the data collector's will.

Finally, users’ privacy is at stake, since researchers could see material that users didn’t agree for other people to see.

4/n

Sharing private information without consent might put people at risk of harm.

This is all the more true in cases such as the #ParlerHack, where the leaked information is of particularly sensitive nature, and there’s a high risk of unintended consequences.

5/n
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...करें और तुम भी पुत्र की इच्छा लेकर गूलर वृक्ष का आलिंगन करना। आलिंगन करने के बाद चरू का सेवन करना, इससे तुम दोनो को पुत्र प्राप्ति होगी।परंतु मां बेटी के चरू आपस में बदल जाते हैं और ये महर्षि भृगु अपनी दिव्य दृष्टि से देख लेते हैं।

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