I want to explain what happened to tumblr overnight. And why Twitter as reached it's dream (or have come ever so close to it)
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The 12 most important pieces of information and concepts I wish I knew about equity, as a software engineer.
A thread.
1. Equity is something Big Tech and high-growth companies award to software engineers at all levels. The more senior you are, the bigger the ratio can be:
2. Vesting, cliffs, refreshers, and sign-on clawbacks.
If you get awarded equity, you'll want to understand vesting and cliffs. A 1-year cliff is pretty common in most places that award equity.
Read more in this blog post I wrote: https://t.co/WxQ9pQh2mY
3. Stock options / ESOPs.
The most common form of equity compensation at early-stage startups that are high-growth.
And there are *so* many pitfalls you'll want to be aware of. You need to do your research on this: I can't do justice in a tweet.
https://t.co/cudLn3ngqi
4. RSUs (Restricted Stock Units)
A common form of equity compensation for publicly traded companies and Big Tech. One of the easier types of equity to understand: https://t.co/a5xU1H9IHP
5. Double-trigger RSUs. Typically RSUs for pre-IPO companies. I got these at Uber.
6. ESPP: a (typically) amazing employee perk at publicly traded companies. There's always risk, but this plan can typically offer good upsides.
7. Phantom shares. An interesting setup similar to RSUs... but you don't own stocks. Not frequent, but e.g. Adyen goes with this plan.
A thread.
1. Equity is something Big Tech and high-growth companies award to software engineers at all levels. The more senior you are, the bigger the ratio can be:
2. Vesting, cliffs, refreshers, and sign-on clawbacks.
If you get awarded equity, you'll want to understand vesting and cliffs. A 1-year cliff is pretty common in most places that award equity.
Read more in this blog post I wrote: https://t.co/WxQ9pQh2mY
3. Stock options / ESOPs.
The most common form of equity compensation at early-stage startups that are high-growth.
And there are *so* many pitfalls you'll want to be aware of. You need to do your research on this: I can't do justice in a tweet.
https://t.co/cudLn3ngqi
4. RSUs (Restricted Stock Units)
A common form of equity compensation for publicly traded companies and Big Tech. One of the easier types of equity to understand: https://t.co/a5xU1H9IHP
5. Double-trigger RSUs. Typically RSUs for pre-IPO companies. I got these at Uber.
6. ESPP: a (typically) amazing employee perk at publicly traded companies. There's always risk, but this plan can typically offer good upsides.
7. Phantom shares. An interesting setup similar to RSUs... but you don't own stocks. Not frequent, but e.g. Adyen goes with this plan.
Machine translation can be a wonderful translation tool, but its uses are widely misunderstood.
Let's talk about Google Translate, its current state in the professional translation industry, and why robots are terrible at interpreting culture and context.
Straight to the point: machine translation (MT) is an incredibly helpful tool for translation! But just like any tool, there are specific times and places for it.
You wouldn't use a jackhammer to nail a painting to the wall.
Two factors are at play when determining how useful MT is: language pair and context.
Certain language pairs are better suited for MT. Typically, the more similar the grammar structure, the better the MT will be. Think Spanish <> Portuguese vs. Spanish <> Japanese.
No two MT engines are the same, though! Check out how human professionals ranked their choice of MT engine in a Phrase survey:
https://t.co/yiVPmHnjKv
When it comes to context, the first thing to look at is the type of text you want to translate. Typically, the more technical and straightforward the text, the better a machine will be at working on it.
Let's talk about Google Translate, its current state in the professional translation industry, and why robots are terrible at interpreting culture and context.
Straight to the point: machine translation (MT) is an incredibly helpful tool for translation! But just like any tool, there are specific times and places for it.
You wouldn't use a jackhammer to nail a painting to the wall.
Two factors are at play when determining how useful MT is: language pair and context.
Certain language pairs are better suited for MT. Typically, the more similar the grammar structure, the better the MT will be. Think Spanish <> Portuguese vs. Spanish <> Japanese.
No two MT engines are the same, though! Check out how human professionals ranked their choice of MT engine in a Phrase survey:
https://t.co/yiVPmHnjKv
When it comes to context, the first thing to look at is the type of text you want to translate. Typically, the more technical and straightforward the text, the better a machine will be at working on it.
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So it's now October 10, 2018 and....Rod Rosenstein is STILL not fired.
He's STILL in charge of the Mueller investigation.
He's STILL refusing to hand over the McCabe memos.
He's STILL holding up the declassification of the #SpyGate documents & their release to the public.
I love a good cover story.......
The guy had a face-to-face with El Grande Trumpo himself on Air Force One just 2 days ago. Inside just about the most secure SCIF in the world.
And Trump came out of AF1 and gave ol' Rod a big thumbs up!
And so we're right back to 'that dirty rat Rosenstein!' 2 days later.
At this point it's clear some members of Congress are either in on this and helping the cover story or they haven't got a clue and are out in the cold.
Note the conflicting stories about 'Rosenstein cancelled meeting with Congress on Oct 11!"
First, rumors surfaced of a scheduled meeting on Oct. 11 between Rosenstein & members of Congress, and Rosenstein just cancelled it.
He's STILL in charge of the Mueller investigation.
He's STILL refusing to hand over the McCabe memos.
He's STILL holding up the declassification of the #SpyGate documents & their release to the public.
I love a good cover story.......
The guy had a face-to-face with El Grande Trumpo himself on Air Force One just 2 days ago. Inside just about the most secure SCIF in the world.
And Trump came out of AF1 and gave ol' Rod a big thumbs up!
And so we're right back to 'that dirty rat Rosenstein!' 2 days later.
At this point it's clear some members of Congress are either in on this and helping the cover story or they haven't got a clue and are out in the cold.
Note the conflicting stories about 'Rosenstein cancelled meeting with Congress on Oct 11!"
First, rumors surfaced of a scheduled meeting on Oct. 11 between Rosenstein & members of Congress, and Rosenstein just cancelled it.
Rep. Andy Biggs and Rep. Matt Gaetz say DAG Rod Rosenstein cancelled an Oct. 11 appearance before the judiciary and oversight committees. They are now calling for a subpoena. pic.twitter.com/TknVHKjXtd
— Ivan Pentchoukov \U0001f1fa\U0001f1f8 (@IvanPentchoukov) October 10, 2018
