clive thompson

clive thompson bw

intro’d to Clive via his new book..

smarter than you think

book links to amazon

notes/highlights:

smarter than you think on kindle notes

an audacious idea. What would happen if, instead of competing against one another, humans and computers collaborated

Feynman understood the extended mind; he knew that writing his equations and ideas on paper was crucial to his thought. But when Weiner looked over a pile of Feynman’s notebooks, he called them a wonderful “record of his day-to-day work.” No, no, Feynman replied testily. They weren’t a record of his thinking process. They were his thinking process

three shifts—infinite memory, dot connecting, explosive publishing—are

We’re becoming more conversational thinkers—a shift that has been rocky, not least because everyday public thought uncorks the incivility and prejudices that are commonly repressed in face-to-face life. But at its best (which, I’d argue, is surprisingly often), it’s a thrilling development, reigniting ancient traditions of dialogue and debate

We need a new way to talk clearly about the rewards and pleasures of our digital experiences—one that’s rooted in our lived experience and also detangled from the hype of Silicon Valley

it turns out that when chess players were genuinely passionate about learning and being creative in their game, computers didn’t degrade their own human abilities. Quite the opposite: it helped them internalize the game much more profoundly and advance to new levels of human excellence.

on leaving a trail rather than trying/seeking to prove yourself

there’s something even more unusual about catching it unintentionally.

Once thinking is public, connections take over.

the first stage of conversational “augmented reality”: public thinking woven into our real-world public space

The tricky part of public thinking is that it works best in situations where people aren’t worried about “owning” ideas.

detox

Still, for video to really advance as a medium for thinking, there’s one major shift that will have to occur: We’ll need to begin using it to communicate with ourselves.

unless there is. imagine an app that literally sets people free. imagine a turtle shell.

realistically, I suspect there’s no killer app to end distraction. The downsides of being highly networked are constitutionally tied to the benefits. The only way we can reduce the negative side effects is by changing our relationship to the digital environment, both as a society and as individuals.

You’ve got to make the systems so that they help people pay attention to the world in front of them.

…help people pay attention to the world in front of them.

_______________________________

find/follow Clive:

link twitter

http://en.wikipedia.org/wiki/Clive_Thompson_(journalist)

clive thompsons site

____________

Clive writes for The New York Times MagazineThe Washington PostLingua FrancaWiredShiftEntertainment Weekly and several other publications….

like mother jones:

clive writing for mother jones

_____________

http://www.theatlantic.com/technology/archive/2011/06/clive-thompson-on-his-twitter-handle-pomeranian99/239917/

_____________________

Clive on mesh net.. alter net.. ness .. oct 2013:

clive on mesh

_____________________

Clive on Thad Starner:

http://www.huffingtonpost.com/clive-thompson/the-art-of-finding_b_3982289.html

Perhaps most interesting is his distinction between the psychology of finding something and refinding it. If he’s alone and doing research, he’ll use his wearable to google documents, just like any of us sitting at a computer. But when he’s talking to someone, he’ll mostly just ping his notes; he searches online much less often. That’s because his notes are his personal semantic stores; he’s recuing facts, refreshing the details of what he already generally knows. That process is fast and doesn’t distract. But trying to imbibe a new fact requires focus and attention, so he avoids doing it while in conversation.

Starner doesn’t think his use of on-tap recall has eroded his own memory. “It’s actually the opposite,” he argues. His recall of arcane is strengthened by repetition. “If you pull up the same fact seven or eight times, eventually you’ve been reencountering it so often that you wind up remembering it unaided,” he says. That is indeed what technological pioneers envisioned in their dreamy, visionary manifestos.

http://livingstoncontent.com/tag/thad-starner/

He uses it his wearable only to look up information that augments a conversation he’s having.

[have to find yet – must be in his book – about his first f to f with Thad – how surprised he was at how awake Thad was in the convo]

about Mann and Starner – on google glass ness et al:

http://www.nytimes.com/2013/09/01/magazine/googling-yourself-takes-on-a-whole-new-meaning.html

Starner has evolved strict social protocols about when and how to use his wearable computer, to avoid ignoring people. For example, he never checks e-mail while talking to someone. “Your I.Q. goes down like 40 points,” Starner says.

“You’ve got to make the systems so that they help people pay attention to the world in front of them,” he argues.

so that was a quote from Starner.. oops..

Mann: He regarded the picture-taking as a type of note-taking: “Remembering is recording,” he says….. Mann says he thinks that society will eventually adapt to omnipresent recording by everyday people. “Sousveillance,” he calls it, punning on the French word for “under,” sous — surveillance by the many rather than the few.

_____________________

wear able ness

__________________

on jordan

Part of Peterson’s deep allure is that sprinkling references to ancient myths, legends and religious texts can make a completely banal and even wrong/stupid point sound deep and wise. I know; I’ve *done this myself*, heh. Alas. 5/x

Original Tweet: https://twitter.com/pomeranian99/status/997496087417118720

_________________

Clive Thompson (@pomeranian99) tweeted at 6:25 AM – 25 Jun 2019 :
My latest @WIRED column, sparked by terrific convos with @davidedjen on Twitter, about why we need a data revolution for the environment: https://t.co/6uVp9bhGTw
Tl;dr — we’re data poor on many enviro goals! And if you can’t track it you can’t fix it. But … (http://twitter.com/pomeranian99/status/1143495553990479872?s=17)

In other words, if we’re going to help the planet heal and adapt, we need a data revolution. We need to build a “digital eco­system for the environment,” as Jensen puts it..t

what world needs most: the energy of 7bn alive people.. so data revolution we need most: self-talk as data.. ie: data from whales in sea world is killing us

The good news is that we’ve got the tools. If there’s one thing tech excels at (for good and ill), it’s surveillance, right? We live in a world filled with cameras and pocket computers, titanic cloud computing, and the eerily sharp insights of machine learning. And this stuff can be used for something truly worthwhile: studying the planet..t

we do have the tools.. but ie: studying planet.. via how whales in sea world treat it.. is wrong focus.. we have to go deeper.. (free whales first.. or just spinning wheels)

tech as it could be.. (listening to every voice everyday)

_________________

coders – thanks library

knows a lot of people i’m familiar with.. i’d heard a lot of his stories.. so skimmed a lot

notes/quotes:

12

the founders created a system that americans are, absent a rewriting of the constitution, stuck with

not stuck with.. human\e constitution.. and 2 convers as infra et al

14

code is speech; speech a human utters to silicon, which makes the machine come to life and do our will. this makes code oddly literary

17

more than introversion or logic, though, coding selects for people who can handle endless frustration..

26

it’s been a story of people who discovered they liked the combo of logic and art that lets you talk to machines

54

part of what made instagram such a hit was that photos are a universal language

57

who’s the jane jacobs of this attention city? no one, he (tristan harris) feared. his colleagues were sharp and clever but, he argues, unprepared to think about the society-wide implication of what they do

93

office workers of he period were known for accepting conformity w a shrug – slapping on the gray flannel suit and playing their part in the hierarchy. they were the ‘ones of our middle class who have left home, spiritually as well as physically, to take the vows of organization life’ as william h whyte wrote in the organization man. they believed in subsuming themselves to a larger whole; they followed orders dutifully’ they were, in essence, collectivists. the people who gravitated to coder jobs weren’t. they were odder, more idiosyncratic, off-putting..

let go

103

‘what i like about these guys’ she (jennifer 8 lee) explains ‘is they’re very reliable’ that’s the upside to people who build rules governed systems..’they would be good husbands and good fathers and i was willing to sacrifice some of the warm fuzzy stuff’ they were skilled at managing anything in life requiring organization, systematization..

107

the comparison to deep sea diving is revealing, because many programers have told me the same thing. ‘most of the time we’re not snippy or weird or overly logical’ they say. it’s just that they turn into terrifying robots during the actual act of coding… it often requires thinking about the enormous hairball of the entire system

108

you’ve soared high enough in the air that you can see the entire city arrayed before you at night.. you can see the matrix. and it is at this point that programmers can actually get serious work done, because they understand the implications of changing any tiny part of the mechanism..

109

coders, in other words, have an artistic temperament, something that unsettled their managers back in the 60s and 70s.. the managers expected engineers to act in engineer-y, logical ways, and the programmers certainly did.. but they also ..  coder workflows are deeply romantics.. in the original sense of the word..

124

computers, in many ways, inspire dreams of efficiency greater than any tool that came before.. that’s because they’re remarkably good at automating repetitive tasks.. (humans) give us a repetitive task, and our mind tends to wander, so we gradually perform it more and more irregularly..

125

school is another swamp of repetition

126

in his book on perl, he and his coauthors wrote that one of the key virtues of a programmer is ‘laziness’.. it’s not that you’re too lazy for coding.. it’s that you’re too lazy to do routine things, so it inspires you to automate them..

154

‘if you make a list of the great software built in the last 50 yrs, you’d find that  in virtually every case, it’s one or two people. it’s almost never a team of 300. it’s at most a team of one or two’

155

‘if they’re physically capable of staying awake, they can get really far’ he says.. ‘the limits are awake time. it takes you tow hours to get the whole thing loaded into your head, and then you get like 10 or 12 or 14 hrs where you can function at that level’

167

oftentimes the real 10xing isn’t in writing the code but rather in fixing someone else’s blunders

171

there is, of course, a deep irony – even hilarity – in virtually anyone in tech being a libertarian, given that the entire american industry has been built on innovations patiently funded by the govt.. w/o the military buying early microchips en masse, that whole industry would probably have been stillborn.. t

172

nonetheless, the libertarian protestations if a certain set of coders continues apace. in recent years, blockchain tech has been the latest site of tech’s anti govt fervor. that ranges from bitcoin – a currency specifically designed to create money that couldn’t be controlled by dough printing central bands – to ethereum, a way of creating ‘smart contracts’ that, its adherent hope, would allow commerce so frictionless and decentralized that even lawyers wouldn’t be necessary

177

newhouse noted: most truly useful coding isn’t a lone gunman activity. it’s a deeply social team sport

178

‘in the culture of heroics, you get rewarded for heroics’ turner notes.. ‘but ultimately your job should be to eliminate the heroism’

190

the men who ran eniac would figure out what they wanted the program to do; they’d spec out the code, as it were. ti was up to the eniac women to physically crawl around – and even inside – the machine, hooking up wires that ‘programmed’ the machine to execute the instructions. it was head scratching, pioneering work; they wound up understanding how eniac worked eve better than many of the men who’d built it .. they invented groundbreaking ideas in coding

208

‘what i came to realize’ gardner tells me ‘is that it’s not that woman are excluded. its’ that practically everyone is excluded if you’re not a young white man who’s single’

231

where do cypherpunks (a blend of the old word cyberpunk w cypher – the code making/breaking of computer cryptography) come from? they arise form a combo of coding skills and a deep distrust of centralized power..

235

‘signing code was thought of as arrogant’ recalls brewster kahle, who arrived at the lab in 1980. ‘it was all for building the machine. it was a community project’

236

‘to a hacker, a closed door is an insults, an a locked door is an outrage’ as steven levy wrote of those mit coders in hackers. ‘just as info should be clearly and elegantly transported w/in a computer, am just as software should be freely disseminated, hackers believed that people should be allowed access to files or tools that might promote the hacker quest to find out and improve the way the world works.. when a hacker needed something to create, explore, or fix, he did not bother w such ridiculous concepts as property rights

241

diffie’s discovery deeply alarmed the feds. the nsa was used to being the big dog in the world of crypto – they were the world masters at breaking secret codes and they wanted to keep it hat way. so they didn’t like academics and coders even discussing the idea of powerful crypto..’there is a very real and critical danger that unrestrained public discussion of cryptologic matters will seriously damage the ability of this govt to conduct signals intelligence’ worried vice admiral bobby inman, then head of the nsa

243

if crypto was going to happen across society, dammit, then they (nsa) wanted to make sure they controlled it. working w the clinton admin, nsa leaders argued that all computers and phones should, indeed have a powerful crypto. but it should be in the form of a computer chip the nsa itself had created: the ‘clipper’ chip. if a device had a clipper chip in it, it’d encrypt anything you did online or said on a phone, os it would be safe from prying eyes. w one exception: the nsa itself.. they’d keep a ‘back door’ key that gave them access to every device

244

clinton and gore quietly pulled the plug on the chip. the hackers, computer scientists, and cypherpunks had won

250

‘aaron was persecuted for reading too quickly in a library’ says brewster kahle, a cofounder of the aaron swartz hackathon along w lisa rein, herself a cofound of creative commons..  kahle founded the internet archive.. swartz’s vision made reality, in a way..

254

there’s no way to create crypto math that gives privacy to only the ‘good’ people.. the cypher punks all know this. most are perfectly fine w it; freedom means freedom to do not just good things but bad ones. their willingness to say this up front can be startling, or refreshing, depending on your political pov..

270

for years, coders have been programing computers to do our repetitive actions. now they’re automating our repetitive thoughts..

271

coders would come to realize that the dartmouth crew vastly underestimated how complicated it would be to get machines to ‘think’.. that’s partly because computers are great at following crisp, clear rules.. but the fabric of human thought is incredibly complex and gnarly..t

272

computer programs break when they reach an ‘edge case’ when the user tries to do something that the coder never anticipated. and human interactions are filled w edge cases..t

285

unlike most coding, which requires very little math at all, hard core deep learners need to be fluent in linear algebra and stats. like cryptography – which involves scrambling and unscrambling messages – machine learning attracts the kids who were diehard math heads, who sit around envisioning multidimensional vectors just for fun

305

instead of having infrequent but long convos, people on twitter were trading many, many very tiny notes..

‘you become like a microorganism’ he mused. ‘we’re getting closer to these situation where we can move like a flock of birds of something.. we can communicate in real tie, really fast in what you’re already noticing to be this sixth sense.. i know where everyone is.. ‘

306

like stone, dorsey argued that the on-the-fly group coordination that twitter brokered was transformational.. it created an efficiency of person to person communication, a throughput that had never before been seen

311

the lust for scale is also fueled by the dictates of venture capitalists..the investor isn’t looking for stability: they want rapid growth that leads to a bigger return on their investment

312

the only other way to make money is to get as huge as possible, then sell advertising to your audience.. yet advertising changes the nature of how software firms treat their users

333

the truth is that only deep, structural change can seriously alter the trajectory of big tech

348

the entire world of programming is now growing so quickly that it’s changing the nature of who becomes a coder, and why (compulsory taught in schools et al)

359

one of the things that makes coding weird, as an industry, is that people can teach themselves how to do it

?.. that’s everything in life..

__________________