About 20% beyond core case of government-critical speech in formally public spaces and media I'd say.
There are only 3 real challenges to free speech at the tech level a) the need for CDNs at scale b) distortions of net neutrality c) nation-state firewalls.
All other claims are about social governance on private sites, where applying free speech doctrine is a stretch at best
About 20% beyond core case of government-critical speech in formally public spaces and media I'd say.
That's a genuine de facto increase in practical, informal free speech/expression.
This is reasonable. You should not expect no-strings-attached access to the attention of potentially billions of people under the same terms as ranting from a soapbox in a 19th century town square.
More from Venkatesh Rao
Heh, one thing the nyt piece managed was to do a Cunningham's law nerdsnipe-wmd at newspaper scale... now a bunch of people are energetically trying to post the right answer.
IMO trying to correct whatever the NYT writer thought he knew/understood is futile. "Willing to be misunderstood by the NYT" should be the default stance unless you want to waste a lot of time correcting an obsolete 2013 map for people who don't care.
The thing is, the NYT still has enough normative cultural power, even as it has fallen from newspaper-of-record, that it takes a particular sort of heretical self-confidence to sort of ignore whatever they happen to be wrong about on any given week, whether or not it concerns you
A subtle shift has occurred in the workings of the Gell-Mann amnesia effect. It used to be an individual private amnesia re: media ("I'll believe myself when I am certain they got it wrong because I'm an expert, but still believe them when I am not"). Now it's a collective effect
A sort of common-knowledge threshold has been crossed lately. "Everybody knows that everybody knows the NYT is wrong on X across largish subcultures." It's no longer mutual beliefs being validated occasionally 1:1.
One other thing I should really clarify and that the @nytimes piece got *severely* wrong: while I believe there are very strong sociological and even causal links between rationalism and NRx (especially in the Silicon Valley homes bases) their ideological and methodological
— (((E. Glen Weyl))) (@glenweyl) February 14, 2021
IMO trying to correct whatever the NYT writer thought he knew/understood is futile. "Willing to be misunderstood by the NYT" should be the default stance unless you want to waste a lot of time correcting an obsolete 2013 map for people who don't care.
The thing is, the NYT still has enough normative cultural power, even as it has fallen from newspaper-of-record, that it takes a particular sort of heretical self-confidence to sort of ignore whatever they happen to be wrong about on any given week, whether or not it concerns you
A subtle shift has occurred in the workings of the Gell-Mann amnesia effect. It used to be an individual private amnesia re: media ("I'll believe myself when I am certain they got it wrong because I'm an expert, but still believe them when I am not"). Now it's a collective effect
A sort of common-knowledge threshold has been crossed lately. "Everybody knows that everybody knows the NYT is wrong on X across largish subcultures." It's no longer mutual beliefs being validated occasionally 1:1.
More from Tech
1/ 👋 Excited to share what we’ve been building at https://t.co/GOQJ7LjQ2t + we are going to tweetstorm our progress every week!
Week 1 highlights: getting shortlisted for YC W2019🤞, acquiring a premium domain💰, meeting Substack's @hamishmckenzie and Stripe CEO @patrickc 🤩
2/ So what is Brew?
brew / bru : / to make (beer, coffee etc.) / verb: begin to develop 🌱
A place for you to enjoy premium content while supporting your favorite creators. Sort of like a ‘Consumer-facing Patreon’ cc @jackconte
(we’re still working on the pitch)
3/ So, why be so transparent? Two words: launch strategy.
jk 😅 a) I loooove doing something consistently for a long period of time b) limited downside and infinite upside (feedback, accountability, reach).
cc @altimor, @pmarca
4/ https://t.co/GOQJ7LjQ2t domain 🍻
It started with a cold email. Guess what? He was using BuyMeACoffee on his blog, and was excited to hear about what we're building next. Within 2w, we signed the deal at @Escrowcom's SF office. You’re a pleasure to work with @MichaelCyger!
5/ @ycombinator's invite for the in-person interview arrived that evening. Quite a day!
Thanks @patio11 for the thoughtful feedback on our YC application, and @gabhubert for your directions on positioning the product — set the tone for our pitch!
Week 1 highlights: getting shortlisted for YC W2019🤞, acquiring a premium domain💰, meeting Substack's @hamishmckenzie and Stripe CEO @patrickc 🤩
2/ So what is Brew?
brew / bru : / to make (beer, coffee etc.) / verb: begin to develop 🌱
A place for you to enjoy premium content while supporting your favorite creators. Sort of like a ‘Consumer-facing Patreon’ cc @jackconte
(we’re still working on the pitch)
3/ So, why be so transparent? Two words: launch strategy.
jk 😅 a) I loooove doing something consistently for a long period of time b) limited downside and infinite upside (feedback, accountability, reach).
cc @altimor, @pmarca
4/ https://t.co/GOQJ7LjQ2t domain 🍻
It started with a cold email. Guess what? He was using BuyMeACoffee on his blog, and was excited to hear about what we're building next. Within 2w, we signed the deal at @Escrowcom's SF office. You’re a pleasure to work with @MichaelCyger!
5/ @ycombinator's invite for the in-person interview arrived that evening. Quite a day!
Thanks @patio11 for the thoughtful feedback on our YC application, and @gabhubert for your directions on positioning the product — set the tone for our pitch!
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.
Ok, I’ve told this story a few times, but maybe never here. Here we go. 🧵👇
I was about 6. I was in the car with my mother. We were driving a few hours from home to go to Orlando. My parents were letting me audition for a tv show. It would end up being my first job. I was very excited. But, in the meantime we drove and listened to Rush’s show.
There was some sort of trivia question they posed to the audience. I don’t remember what the riddle was, but I remember I knew the answer right away. It was phrased in this way that was somehow just simpler to see from a kid’s perspective. The answer was CAROUSEL. I was elated.
My mother was THRILLED. She insisted that we call Into the show using her “for emergencies only” giant cell phone. It was this phone:
I called in. The phone rang for a while, but someone answered. It was an impatient-sounding dude. The screener. I said I had the trivia answer. He wasn’t charmed, I could hear him rolling his eyes. He asked me what it was. I told him. “Please hold.”
Wish I had the audio of Rush Limbaugh telling me off on the phone on his show when I was six. In the meantime, RIP.
— Shannon Woodward (@shannonwoodward) February 17, 2021
I was about 6. I was in the car with my mother. We were driving a few hours from home to go to Orlando. My parents were letting me audition for a tv show. It would end up being my first job. I was very excited. But, in the meantime we drove and listened to Rush’s show.
There was some sort of trivia question they posed to the audience. I don’t remember what the riddle was, but I remember I knew the answer right away. It was phrased in this way that was somehow just simpler to see from a kid’s perspective. The answer was CAROUSEL. I was elated.
My mother was THRILLED. She insisted that we call Into the show using her “for emergencies only” giant cell phone. It was this phone:
I called in. The phone rang for a while, but someone answered. It was an impatient-sounding dude. The screener. I said I had the trivia answer. He wasn’t charmed, I could hear him rolling his eyes. He asked me what it was. I told him. “Please hold.”
