ripperdoc (@ripperdoc) profile picture

Builds VR training and roleplaying games. Cyberpunk and futurism nerd. https://nitter.gq/t.co/gZ2yVKh7dz and https://nitter.gq/t.co/AwZFZEGbri

Stockholm, Sweden
Joined June 2008
Photo by ripperdoc (@ripperdoc)Photo by ripperdoc (@ripperdoc)Photo by ripperdoc (@ripperdoc)Photo by ripperdoc (@ripperdoc)Photo by ripperdoc (@ripperdoc)Photo by ripperdoc (@ripperdoc)Photo by ripperdoc (@ripperdoc)Photo by ripperdoc (@ripperdoc)Photo by ripperdoc (@ripperdoc)Photo by ripperdoc (@ripperdoc)
Hur kan man lägga 5,5 miljarder för ett digitalt journalsystem som inte ens tar med sig de tidigare journaler? Vad lever vi i för bisarr värld?
Det är inget aprilskämt och det är min region det handlar om
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Today I'm open sourcing @timelinize, an ambitious project that organizes your life's data from your online accounts, photo library, phone, etc, onto a single unified timeline on your own computer. It will benefit from the community's help. 🧵 github.com/timelinize/timeli…
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This is so true. It's hard enough building regular software and then finding that end users instantly break it in weird ways you didn't expect - the scope for ways they can break anything with an LLM involved is effectively unbounded
This đź’Ż The talk track I've been using is that LLMs are easy to take to market, but hard to keep in the market long-term. All the hard stuff comes when you move past the demo and get exposure to real users.
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Small victory but 2 years later no one says “web2” any more… because “web3” has mostly disappeared. It was a term fueled by select VCs invested heavily in crypto companies. I just feel sorry for devs who fell for it and believed it’s somehow superior to normal engineering.
Can we please stop calling web development “web2”. It’s “web”. There is no “web3”. It’s embarrassing to associate unregulated securities with a splash of code with this term.
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The adoption of cellphones by Keralan fishermen is, I believe, the most stunning example of the contribution of information technology to market performance. Take a look at this graph for background: in three different regions of Kerala, phones were adopted at different times. Kozhikode got cellphones before Kannur, who got them before Kasaragod. Adoption by fishermen was fast when phones were finally introduced: Now look at what happened to the price of fish after phones entered the scene: The dispersion in prices virtually disappeared! The author of the study wrote about this that: "Before any region had mobile phones, the degree of price dispersion across markets within a region on any given day is high, and there are many cases where the price is zero (i.e., waste). However, within a few weeks of mobile phones being introduced in Region I, there is a sharp and striking reduction in price dispersion. Prices across markets in the region rarely differ by more than a few rupees per kilogram on any day, compared to cases of as much as 10 Rs/kg prior to the introduction of mobile phones. In addition, the prices in the various markets rise and fall together and the week-to-week variability within each market is much smaller, since catchment zone-specific quantity shocks are now spread across markets via arbitrage. Further, there are no cases of waste in this region after phones are introduced. "By contrast, price behavior in regions II and III appears largely unchanged after phones are introduced in region I. However, after mobile phones are introduced in region II, prices again become much less dispersed across markets on any given day, less variable within markets over time, and waste is ultimately eliminated, whereas region III again remains unchanged. Finally, the same pattern holds once region III adds phones." Efficient information transmission enables efficient markets. It's amazing what technology can do. Read the study here: jstor.org/stable/25098864
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What Wikipedia did: we stood strong for our principles and fought to the Supreme Court of Turkey and won. This is what it means to treat freedom of expression as a principle rather than a slogan.
Replying to @mattyglesias
Did your brain fall out of your head, Yglesias? The choice is have Twitter throttled in its entirety or limit access to some tweets. Which one do you want?
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We accidentally invented computers that can lie to us and we can't figure out how to make them stop
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Replying to @sdw
Yeah! And every seasoned programmer knows that *writing* code is trivial and what takes most of the time is figuring out the right way of doing things. That’s where the value of software engineers lie, not in typing code.
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Replying to @enjalot
đź’Ż this Any time I want to work with a language ecosystem that's outside my direct comfort zone the hardest bit is ALWAYS bootstrapping myself to a point where I can start working with code - and feeling confident that I didn't make any weird mistakes along the way
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“Perhaps you missed my previous email, can we jump on a 15 minute call on Thursday?” N   O     O      o      o       o      o      。     。    .    .     .     .
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A big reason we tend to underestimate how hard a problem is or how long a task will take to complete -- what's difficult is often invisible right until you run into it. The stuff we can plan for is always the easy stuff (and that's exactly what makes it easy).
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Jag sitter och testar @AISweden GPT-SW3 - om ni skickar frågor till mig så ska jag skicka vad den svarar. För att göra den till en chat-bot har jag använt en chat-prompt som är framtagen av @aliceheimanxyz - Nedan är några exempel- hit me! 🧵
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ripperdoc retweeted
Know exactly how Lex feels as does just about everyone else, just tough to to admit. Most of the stuff I’ve tried has been some success mixed with mostly failure. Thing is to keep trying to do better and best you can. Except some who have zero self-doubt. Idk how they do it
Some days I feel like a failure and I don't know what I'm doing. Today is one such day. Maybe everyone feels that way sometimes. I just want to say that I'm with you. ❤️
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The stages of playing with GPT-3: - OMG this can do anything - There goes my job - I should start a business around this - Some of the responses aren’t too good - Actually, some of these responses are just awful - This isn’t really intelligence - This is just spicy autocomplete
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Bold prediction for 2023-2024 “Open AI” will not be the language model provider at the infrastructure layer anymore 1 / 🧵
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ripperdoc retweeted
dead.
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ripperdoc retweeted
Google Calendar, but it shows the cost of the meeting
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I’m seeing many fall into the “self-driving trap” w/Gen AI The self-driving trap is seeing shiny demos & thinking said demos will reach 100% reliability for prod w/in a few years Many proposed Gen AI use cases need 100% reliability, and thinking that’ll come soon is a mistake
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Software has been basically deterministic until now Until we fully trust LLM outputs, we will start to see a UX I call "staging" Here are a few examples
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I'm not worried about AI taking my job. That said, Microsoft investing $10B in OpenAI and cutting payroll $1-2B per year in the same week is an interesting signal for change to come
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