Lift12 Extreme Hackers: etoy.AGENT ZAI [en]

[fr] Je suis à la conférence Lift12 à Genève ces jours. Voici mes notes de sessions.

Live-blogging from Lift12 conference in Geneva. These are my notes and interpretations of etoy.AGENT ZAI’s session — best effort, but might be imprecise or even wrong!

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Etoy.CORPORATION

The only thing that Etoy sells is stock. You become and investor.

Etoy history represented as a stock chart.

History. First, search engine subversion. (Art-yard.)

Became part of the global transportation network. Containers as nomadic pieces of architecture, icons of globalization.

The outside is standardized.

steph-note: a little lost, maybe that’s the point?

1999 Etoy got stuck in a huge mess. American company with almost the same name, offered a lot of money for the brand, but also sued them for trademark infringement, etc.

steph-note: heck. the toywars actually led to etoys share going down so much that the company filed for bankruptcy.

All about gamification. Let’s do something positive after that! Work with children. Hacking humans. Day-care.

steph-note: I’m not sure I get this “art” thing (not the first time this happens to me)

Understanding people as memory systems. (Elderly people.)

Hacking the end of life. Spheres. Move and sound.

Also doing stuff with ashes (Timothy Leary).

Lift12, New Futures: Lisa Harouni, 3D Printing [en]

[fr] Je suis à la conférence Lift12 à Genève ces jours. Voici mes notes de sessions.

Live-blogging from Lift12 conference in Geneva. These are my notes and interpretations of Lisa Harouni’s session — best effort, but might be imprecise or even wrong!

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3D printing! Lisa became fascinated with 3D printing after meeting a guy who kept fiddling with a little structure that was impossible to create with traditional manufacturing techniques.

Tomorrow we’ll feed our desktop 3D printers with material and they’ll produce objects for us.

How does it work? Create a 3D model and build it layer by layer from the base upwards.

Materials: plastic, aluminium-plastic composite, ceramics, metals, glasses, chocolate… anything that can be melted. Can also create large (2m) structures. Also, tiny (4 microns).

Prototypes. Also final products. steph-note: lovely lamp

Furniture. Structures that cannot be made any other way, so complex. Clothes.

Other end of the spectrum: engine block. Very heavy. Get the weight down? Remove the solid parts from the design. Create a system that builds a structure only when needed to hold the weight. Less material, less weight, better cooling channel. Again, can’t be built in any other way.

More porous implants. If it’s solid metal body tissue moves away. Porous implants mean the tissue can grow in it.

3D-printing has no economy of scale. So each one can be different. Adapting to specific needs. steph-note: wow, blown away by the implications — hadn’t seen it so clearly until now

Website of the future: pick your lamp, the designer has created customization experiences, pick what you want. Then… upload your product, to centres which will build it on demand. Reduce shipping costs, etc.

We’ll be able to download spare parts from the web. Hoover breaks down, you can fix it at home. Good-bye warehouses. But what happens with copyrights? The product industry might be disrupted just like the music industry is being disrupted now.

Bike: dozens of machines needed to create the different parts… in future we can do this with a single machine.

The landscape of manufacturing is going to change.

Price? lamp, 40-50$. Within a week or two but built within an hour.

Watch the video:

Lift 12, New Futures: Julien Dorra [en]

[fr] Je suis à la conférence Lift12 à Genève ces jours. Voici mes notes de sessions.

Live-blogging from Lift12 conference in Geneva. These are my notes and interpretations of Julien Dorra’s session — best effort, but might be imprecise or even wrong!

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Being together in the same space. But let’s first talk about cyberspace! Looking for papers in the office and we wish we had the “search” feature to find them. Cyberspace is fun, engaging, we learn, etc., most of our time spent in cyberspace.

Meetings are boring, brainstormings fail to innovate, and conferences… we can’t bridge the gap when we go back to work.

University: students on computers, and facebook is always more interesting than class.

In 2009, involved in drupal community in France. Dev sprints. Offline, around a table. In an office. Set a bunch of goals and work on it together. A week, three days… depends.

“Sprint” is not a good word, it’s more a way to be out of the day-to-day flow and concentrate on the product. “What, you’re going to Paris for a whole week, not see the Louvre, and look at a computer 12 hours a day?”

Accelerates the project! Meatspace gives you unlimited bandwidth.

Sprints: self-organizing, physical location is irrelevant, workflow is not formatted. Only developers!

A few weeks later, Julien participated in the first startup week-end Paris.

From the outside, looks like a sprint. But…

  • it’s a local event (locality is important)
  • variety of communities represented
  • the format is also designed.

Learning is the key goal here, the output is not that important.

Now, let’s focus on the output: Artgame Week-end. Produce a usable game in 48 hours, with participation of artists.

People are not always open to this kind of event: “I need a developer. Will I be ensured I’ll work on my project?” Exploratory, diversity of participants, focus on the output.

Artgame week-end impacted mainly the online world and didn’t really reach out of Paris.

Reaching beyond innovations: Museomix. Implement ideas of digital integration directly in the museum. Needed to take place in the museum. You have to design for the place. Strict process in terms of output. At first, museum people very skeptic regarding the output. But now, 5 projects the museum is actively seeking funding for. Now there is a community of museumx-ers. 70 participants but many more in the community.

Wide inclusion, tangible output and impact, remix of a museum. Had to move things around in the museum, not simple!

Different approaches to the place, the community, the output in these four types of events.

Back to the 20th century. Strong historic taboo against this type of event.

20th century, factury is optimum organization. Worker-machine. Information flow is maybe top-down, but nobody needed to know what the neighbour was doing.

Now we’re hyperconnected to everybody, we know what others are doing, and that the factory is not the optimum model anymore. The spring principle applies to many different domains (sprint !== rush).

Serial collaborators are people able to contribute to any type of event. Diverse skills and talents give you stronger, richer output.

steph-note: this is making me want to participate in one of these events… maybe the next startup week-end here?

Don’t set up an event and try and build a community. Reach into your existing communities and then build events for them.

Interesting: had people from other museums coming to work for museumx!

Lift12, Near Futures: Ben Bashford [en]

[fr] Je suis à la conférence Lift12 à Genève ces jours. Voici mes notes de sessions.

Live-blogging from Lift12 conference in Geneva. These are my notes and interpretations of Ben Bashford’s session — best effort, but might be imprecise or even wrong!

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Designing machines with empathy. Cable TV box: ask it to do something, doesn’t do it. Ask again, still doesn’t do it. Asks it to do something else, then tries to do all three things at the same time.

Interactions with computers and new media are fundamentally social. Let’s assume for this talk that computers = people. And “has a processor” = computer.

What do you get when you cross an airplane with a computer? A computer! Once you put a processor in something it stops being what it was before and starts being a computer. (Book: The Inmates are Running the Asylum.)

Nest: sets your central heating according to data found online.

Izon camera sits quietly in your house and captures video when it’s disturbed and posts it online.

Wristband that helps you turn your exercise routine into a game. Scales that track your weight by connecting with your iPhone. (Withings.)

Retailers don’t know what to do with these things. Classified in “miscellaneous”.

Computers = people = everywhere. Getting cheaper, they’re soon going to be talking back to us. Conversational UI. Vision is getting cheaper (XBOX 360). They’ll know when we’re looking at them and adjust their behaviour accordingly 😉

Ben doesn’t think “robot” fits for these things, and “bot” kind of stops at software.

It’s not about what they’re doing but how they do it.

Mint floor cleaner. Amazon review: “personality of the bot is OK. not quite as chipper as the other cleaning jobs but gets the job done”. Interpreting behaviour as personality. Interesting!

So… what are you designing? It’s going to be read as personality, shouldn’t be left to engineering.

Who is this? what does it want? How does it feel about it?

Problem: anthropomorphism => uncanny valley.

Canny Basecamp. Minimal viable person. Messenger app icons. Tower Bridge calmly referring to itself in the first person.

Pixar “lamps” — the moment they start moving they have personalities and emotions.

Macbook pulsating light: breathing speed for normal sleeping human.

Computer can’t do real random().

Zoomorphism.

Technology should create calm. What about a computer that keeps asking for your attention? Talk to me, look at me, help me. Cute.

Plants = ambient displays. Robotany?

The more plants you get together, the calmer it gets.

Skeumorphism. Make new stuff in the form of the old to minimise future shock. Book metaphor for iPad books. Has pages that turn.

Some of these things could be interacting with each other as much as they’re interacting with us. Some would need to be used by both humans and machines. Agent centered design. Open communication: telepathy between machines. How will we know what’s going on? Beautiful seams.

Doesn’t think we should be making machines that empathize with us. The empathy should be ours.

Lift12 Stories: Rufus Pollock, Open Data [en]

[fr] Je suis à la conférence Lift12 à Genève ces jours. Voici mes notes de sessions.

Live-blogging from Lift12 conference in Geneva. These are my notes and interpretations of Rufus Pollock’s session — best effort, but might be imprecise or even wrong!

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In Sumer, 5K years ago, businessmen had the idea to start mark counts of stuff on the side of boxes. Born of necessity. Writing.

UK census 1801. Desire to count population. US: 1880 it was taking 7 years to process the data from the census. 1890 Hollerith Tabulator.

IBM 1960s. Innovation coming out of government need and the nuclear programme (need for computational power).

Today, in the midst of a revolution. Information complexity (necessity) and info tech (opportunity).

Government is opening up information. 3 years ago, no open data. Today, also companies and communities.

What is Open Data? Anyone (= really anyone!) is free to use, reuse and distribute. At most, requirement to attribute or share alike.

Dream of open data: dropability (?).

In general, open data does not mean personal data. We’re talking about stuff like train times, station locations, spending breakdowns, national laws… transport, geolocation, statistics, electoral-legal.

Why now? Story of medicine gone wrong.

Summer 2002, ex-accountant from Vegas turned Catholic priest. Chest pains. Told he needs immediate heart bypass. Goes home, calls up his best friend (nurse) advising him to get a second opinion. Non-specialist told him there was nothing wrong with his heart. Saw another one. Same thing.

Went to see the CEO of the first place. Something is wrong, what are you going to do about this? Hrm, not very much. Thanks for the feedback.

Contacted the FBI. Hundreds or (of?) thousands of people over a 10-year period had unnecessary serious procedures performed on them (some died, or ended up permanently disabled or in pain).

Don’t get a flat tyre in front of that healthcare place or you’ll end up with a heart bypass!

One of the best post-surgery survival rates (of course if you operate on healthy people!)

Looking at the statistical data, it would have been possible to notice high rates of surgery and very low mortality rate.

To many eyes all anomalies are noticeable. If more people had seen the data maybe the alarm bell would have been sounded.

Apps and services

  • Mapumental (enter criteria to choose where you want to live — price, commute…)
  • Where does my money go? visualise where your tax money goes, with coloured bubbles. Would help us feel better about paying our taxes.

Why open? Goes back to the challenge and the opportunity of the information revolution. Challenge: exploding info complexity.

In 1820s all UK bank clearing was done in a single room once a day. Today, billions of transactions a minute.

Opportunity: computing power. Today, a smartphone has more computing power than the system for the Apollo moon landings.

Open data scales and closed data doesn’t.

Why not open cars and open shoes? Giving a copy of your car is a problem, but a copy of your data isn’t.

Innovation. Best thing to do with your data will be thought by somebody else (vice versa too).

Better engagement, understanding…

Where are we going?

More use of this open data (specially by businesses). Businesses will wake up to the opportunity. They’ll also realise they need to share back. Communities as well.

Quatity changes quality. More data means better data.

Data as platform rather than commodity. You build on it rather than sell it.

Faraday’s baby. Be modest.

Assumption: institutions have this data and it’s well-organized. Is it sometimes a mess? Or not there? Making it public is suddenly making departments/institutions get their data in order.

Lift12 Stories Open Stage: Pierre Spring, Don't Make Me Steal! [en]

[fr] Je suis à la conférence Lift12 à Genève ces jours. Voici mes notes de sessions.

Live-blogging from Lift12 conference in Geneva. These are my notes and interpretations of Pierre Spring’s open stage presentation — best effort, but might be imprecise or even wrong!

What happened after the don’t make me steal workshop?

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Outcome of the workshop was a manifesto that you can sign through a web app. Put it on hacker news and went for drinks. 4500 visitors in the first evening!

Luckily the server didn’t crash. Had nailed a need somewhere. 10’000 people signing within 3-4 days. Translations started coming in.

One story: hadopi. General secretary of hadopi contacted them through Twitter requesting to meet them. “Hrm ok, can we do that in Switzerland please?”

Spent several hours talking. Very positive. Offered to connect them in they started to reach 100’000 signatures. Also contacted by Dach, Pierre spent hours talking to them on Skype.

Nobody from the movie industry. A year later: things haven’t really changed. Movie industry still has people working on stuff like ACTA and SOPA. Sad!

In Switzerland, government decided NOT to change the law, still legal to download as long as you don’t share. Report saying losses are minimal.

MegaUpload got shut down. Pierre thinks it would never have existed if you could download legally.

This discussion will die down. We love movies. Just let us buy them, don’t make us steal them.

Lift12 Stories: Tricia Wang (Han's Shoe) [en]

[fr] Je suis à la conférence Lift12 à Genève ces jours. Voici mes notes de sessions.

Live-blogging from Lift12 conference in Geneva. These are my notes and interpretations of Tricia Wang‘s session — best effort, but might be imprecise or even wrong!

Han grew up in rural China. Model citizen (Mao-abiding). Civil servant? Something changed. Fang Bin Xin (FBX) — “Father of China’s Great Firewall”. Gets lots of public talks on dangers of internet and need to control it.

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One of these talks. Han threw a shoe on FBX.

What happened to Han?

Nothing.

How does the son of a farmer end up on international news and live to tell the tale?

Spent the last few years studying trust. Can pop up and erode at a moment’s notice.

When Han went to college, everything was put in question. Hardest working people in society were sometimes made the most poor.

Han discovers Twitter. Learns stuff. Blocked in China. VPN is needed. Pay for it! 2%.

On Twitter found people with shared interests => shared identity => shared responsibility. Tweet good information!

May 19 2011, Han checks Twitter, and sees people inciting others to give FBX a hard time. Han goes to see. Bumps into students with eggs that they planned to throw. But they got nervous. Shoved the eggs in Han’s hands. Han shows them at FBX, misses, and in a final act of desperation, takes off his shoe, throws it and misses.

Bolts out of the security hall. Chased. Thinks he escaped. Shares tweets of his escape and blistered tweets. Back to his dorm, he’s major news on Twitter. Hashtags. Offers: sexy girls, apple products, one night stand, vacation to Thailand, VPNs, American pistachio nuts, shoes…

He was never working alone. Information -> ideas -> behaviors. Became international symbol for internet freedom.

How is trust constructed in China? (We need to understand that to understand Han’s story.)

How do we build up the trust to acquire share information with sources we don’t really know. Tricia does deeply immersive investigative stuff as an anthropologist. Gaming and sleeping in internet cafés, etc.

Why wasn’t Han arrested? Police visited him. Also took him to dinner and got him drunk. First, put a lot of pressure on all the institutions he was part of. We are all embedded in institutions. Institutions, in China, are also responsible for the acts of the individuals that belong to them. Personal records, lots of them. Sealed brown envelopes that follow you in life from institution to institution.

Police first went to his university. Institutions trust other institutions to get things done. Assumption: his university would correct (?) him.

Police couldn’t find central command (Twitter, etc — police didn’t get it, there was no central command for them to go after). Emergent structures…

When people lose trust in institutions, top-down measures don’t work so well.

steph-note: missed a few links here

Self-healing mesh network — the loose community Han was part of through Twitter. When the other students got cold feet (weak node) Han acted, though he hadn’t planned to. Self-organized collective.

Institutions can have weird consequences. Firewalls can sometimes protect people from the law.

Information can only be free when people aren’t in danger for accessing it.

  • Social circles: people you already know. Reinforce our relationships. Build on existing relations of trust.
  • Social network: entities we don’t have a personal relationship with. Expand our relationships. New relations of trust. Reveal common interests, etc.

Problematic implication: social graph = web of trust. Sharing can mean that we’re trying to figure out trust, rather that it’s established. Difficult to represent the strength of institutional affiliation algorithmically.

Information acts.

steph-note: skipped a bit there; fascinating but going a bit fast

Trustworthiness + out circle + in network = participation.

Example: pedestrians creating desire paths (outside of designed paths). Equivalents in social networks. Desire paths decrease social distance. They’re hard to predict.

With visibility comes traceability. Information doesn’t pick sides.

Lift12 Stories: James Bridle (Ship Adrift Project) [en]

[fr] Je suis à la conférence Lift12 à Genève ces jours. Voici mes notes de sessions.

Live-blogging from Lift12 conference in Geneva. These are my notes and interpretations of James Bridle’s session — best effort, but might be imprecise or even wrong!

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Gibson: artistic creation doesn’t happen in a vacuum.

Network realism: like when Gibson inserts silver flying penguins in his story, but they actually already exist in a video on YouTube, some company makes them, and in his story they’re flying about in the same building as in the video.

Code/Space. Check-in hall: if the code fails, the whole thing collapses into a big hall full of angry people.

Most of our cultural lives and literatures are spent in code/space. We outsource our memories and experiences to the network. Good, but intense consequences.

Caveat: space is a bad metaphor for the network/internet. There is no such thing as public space on the internet. steph-note: need to think about this, I always use the space metaphor.

Financial algorithms.

Two-thirds of wikipedia’s top editors (EN) are bots. SmackBot which locks down pages when there is too much frantic editing. Etc.

Wikipedia is a new paradigm in how we understand and coconstruct human knowledge. Big deal.

Artificial systems here have agency, motive, intention. We’re sharing the world and knowledge with them.

Comments where you don’t know if it’s a spambot or a human. steph-note: happens more and more to me, and it is unsettling.

Spambot comment, if you read it, something seems to be calling out to us in it. Feel like things that are desperately trying to speak to us! But they don’t know how, and we’re not trying to listen.

Queen Elizabeth Hall, Purcell Room. Ship in the middle of town. You can stay there. Lovely thing but a failed ship, it doesn’t go anywhere. James was asked to provide internetty stuff for the ship. Weather station on the roof. What would the ship do if it could fly, if it were adrift? Has been plotting it for a month — went straight to Poland.

The ship knows where it is virtually, and looks for stuff online related to where it is. Tweets, Foursquare, wikipedia entries. Creates a log of things it learns and tries to speak them up.

Strasseblickfernweh. Made-up view. Emotional response to seeing stuff through machines.

Polari, specific type of argot. Somebody on Twitter asking if @shipadrift is Nordic Polari. Ship started responding to personals. Was blocked! Ship can’t access anymore! sad.

James loves spambots, follows mostly spambots on Twitter. Likes the way they speak. If we keep killing spambots they’re never going to achieve sentience! It’s a shame, we live with these things.

steph-note: am going to look at spambots differently from now on

There are stories already in the world. Co-created. Need to be put in words. We need to be sympathetic to these things that share our world, speak to them, invite them into the world. They’re looking for consciousness.

Lift12 Open Stage, Gaming: Niklaus Moor, José Luis de Vicente [en]

[fr] Je suis à la conférence Lift12 à Genève ces jours. Voici mes notes de sessions.

Live-blogging from Lift12 conference in Geneva. These are my notes and interpretations of the open stage talks — best effort, but might be imprecise or even wrong!

Niklaus Moor: Intrinsic vs. extrinsic motivation in gamification.

Call of Duty 3. Massively successful launch.

What changed besides the graphics, since version 1?

From level as chapter to level as progress of the character. More motivating!

Gamified the game. Measure my usage of the game. I get medals.

The core is a combination of intrinsic and extrinsic motivation. The key is in the right balance between the two.

Danger! you can kill intrinsic motivation by having the wrong extrinsic motivation.

steph-note: I wrote about that recently!

Stopped kids from stealing by rewarding them for it. Also, kids in school.

José Luis de Vicente: On the Mythologies of Play

Not about how videogames are going to change the world, but in how they have already changed it. 3 stories.

Fold it. Solve puzzles for science. Figure out enzyme structure.

Gold farmers in China. Exploit the game to accumulate in-game currency or virtual goods which they sell to western gamers.

Aram Bartoll‘s model of Dust made of concrete (2011).

 

 

Lift12, Gaming: Sebastian Deterding [en]

[fr] Je suis à la conférence Lift12 à Genève ces jours. Voici mes notes de sessions.

Live-blogging from Lift12 conference in Geneva. These are my notes and interpretations of Sebastian Deterding’s session — best effort, but might be imprecise or even wrong!

What happens when our everyday life becomes more and more structured like a game?

Russian bureaucrats: need a job to get a flat, need a work permit to get a job, need a flat to get a work permit.

Mobile boarding pass. Transfer at Schipol, but image broken, can’t read QR code! Machine won’t provide paper boarding pass because pass has already been downloaded. Thankfully service agents are not robots… yet.

Gamification. Mindbloom.

Scary: what if we let computers run our systems and put humans inside? What happens?

1. The first thing we encounter is exceptions. The rule system might not foresee certain situations. But exceptions are the rule! We always need a manual override. Handling the exceptions.

The more we replace humans with computers, the more we remove these manual overrides.

2. Rules are also never explicit. Spirit and letter of the law. Work-to-rule: follow rules so strictly that nothing gets done.

Foursquare. In London, holding a session of foursquare users to determine what kind of behaviour is “in the spirit” of foursquare use.

Journalist who tried to gamify all aspects of his life during a week. Including “better fiancé”. You look lovely tonight! Pfff, you’re just doing it for the points.

The reason we’re doing something is really important for us.

Scratch: programming videogames visually, with resharing etc. Automatic credit line, but in the community social norms require a manual note with credit.

4. How rules beget gamers.

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System => intention.

The more you use quantitative measures to influence decision making, the more the actions leading to those measure are subject to various forms of corruption.

Munchkin: tries to amass as many points as possible even if it’s at the expense of others. Maximise their outcome within a given system. Forget they are also social actors.

Everyday life is full of this kind of munchkin.

“Fixing the game” by Roger L. Martin — this is what happened to our economic systems. Too myopic on the results.

Same thing in organisations with KPIs and targets. Forget that they are there for the long-term survival of the company and not short-term personal benefit.

Also: the exploiter.

Guy who tried to raise his children using economic systems. Potty-training rewarded with sweets. Multiplication and fragmentation of potty-breaks.

Refunding a product when people write an amazon review.

The hacker: tries to reconnect the system to its intention. Often found in healthcare. Gaming the system to be able to heal patients.

Technologies of power. Systems, procedures, technologies set up by governments and institutions to get us to do what they want us to do. Foucault: technology used to rule people can also be used by people to rule themselves.

Book (do not read, bad novel): The Dice Man. Guy who decides for each decision to come up with six options and roll a dice.

If you set up a system to be competitive, that’s what you’ll see, but if you set it up differently, humans are actually pretty cooperative.