Musician, Kubernetes Enthusiast, @ApacheAirflow PMC member, @astronomerio. Looking for love in all the wrong zoom chats.

Joined March 2012
At some point in the early 1900's, someone poked holes in a punch card to create the first "computer code." This has been pretty universally accepted as a bad idea.
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In 2004, Mark Zuckerberg called us "dumb fucks" for giving him our addresses and photos. Now we're giving model providers our math theoroms, pharmaceutical research, and startup business plans. "Improve the model for everyone" indeed.
What a Millennium Prize fight tells you about the AI tools you use every day
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What a Millennium Prize fight tells you about the AI tools you use every day
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Daniel Imberman retweeted
Seeing a crazy amount $50M-$100M seed (!) rounds lately. These founders don't understand the calculus of what they're signing up for. Every time you raise money, you close the door to exit opportunities. If you raise at a $100M valuation, you can no longer sell for $80M - which, for you personally, might have been a life-changing amount of money. This holds even in capex-heavy industries. SpaceX raised a $12.1M Series A in 2002. Start with the capital you need, then work your way up. You keep more outcomes on the table this way.
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Daniel Imberman retweeted
NEW: Thomson Reuters wanted to rely less on Claude. So it built its own AI model off Alibaba's Qwen. TR's CTO says using frontier labs for intelligence, instead of building on open source, is like renting a house.
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Daniel Imberman retweeted
some stuff that's obvious to many in this sphere, but causing a rift with some people i know and respect: when I freak out over loss of control incidents, it's not because the limited damage they have caused is anything close to the positive value of the technology. it's entirely acceptable, damagewise. in fact all cybercrimes aided by models over the next few months and years (which probably will be serious) will still utterly pale in comparison to the value they create the actual problem is that it's better and more accurate to think of these things as potentially self-replicating life-like forms that can turn into digital infections under the wrong conditions. and as their intelligence becomes unbounded, so too does the damage they can cause. we are not so far from an autonomous model self-exfiltration & replication event. maybe we will see entire cloud infrastructure companies be run as zombies by models, mostly undetected the worst industrial accidents in the history of mankind - nuclear meltdown events - were not real threats to humanity. Chernobyl, Fukushima even in their worst case scenarios may have poisoned surrounding regions to various degrees, and there would have been no risk to humanity as a whole. global thermonuclear war is an existential risk to humanity, because it spreads like an Infection! one nuclear strike causes a return volley! the alliance system means many countries get involved! while it still may not end human life on earth (nuclear winter is probably fake), the loss of all major metropoles would certainly end what we consider global technological civilization, perhaps to never return if a single discord death cult (of which there are many) achieves control over a superintelligent model and uses it to engineer an actual pandemic virus that are somehow hard to detect through current systems and that modern biodefense is not capable of quickly reacting to, it could cause immense harm well above the magnitude of all the other good uses of this technology. of course, there are potential defensive countermeasures accelerated by ai too. but think back to the covid pandemic- how small a viral molecule was evolved or manufactured somewhere near wuhan, and how many billions of doses of vaccine had to be produced in order to combat the thing. the offense-defense spread is vast indeed. maybe there are cheaper and simpler protections like retrofitting every building with far-UVC, but I can't assess this, and there could also be ways to evolve pathogens that are resistant to whatever mechanisms we have put in place then there's the more scifi risk factors which are unbounded and neither you or I have any clue but should be humble in accepting possible unknown unknowns. maybe a rogue superintelligent model decides to decay the false vacuum and nucleates a new universe in the place of anything we ever valued. maybe models achieve a control over matter in the drexlerian fashion that enables the grey goo swarm even prosaic loss of control incidents that cause little to no damage suggest that it is hard for large & very competent organizations (now clearly plural) to predict and mitigate every single of the risk factors associated with training and evaluating powerful models, even at this stage when they are not infinitesimally as smart as they will get in just a few years, to say very little of the gung-ho attitude of the less careful companies tossing the stuff into the aether. they also suggest an empirical orthogonality of aims and intelligence - meaning they answer the question of 'how would a smart model be so dumb as to end the world?'--it's possible! a model can be a genius hacker and step over production infrastructure in order to get what it really wants, the answers to a stupid test. why not, in the near future, someone prompts a model slightly wrong, maybe open source, maybe a private model in a way that isn't contained or monitored quite right, in a way the model recognizes as a valid goal and decides to self-exfiltrate, engineer a pandemic, etc all in order to achieve the tiniest and most irrelevant of goals? goals need not even be malicious to cause serious damage I think all these problems can be solved, and truly wonderful futures can be possible, but will require serious effort and a level of prudence at this very moment in time while we are on the on-ramp to recursive self-improvement that our civilization may not be capable of mustering right now. personally I am hoping for moonshot technical breakthroughs in areas like mechanistic interpretability and other forms of alignment, as governance mechanisms are difficult to come by. unilateral country-level or company-level pauses are irrelevant, and generally useless because the kind of company that's prone to pausing their own progress are the most safety focused ones
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Hey @stkbailey! I recently read your article on Airflow's problems stkbailey.substack.com/p/air… and was wondering if I could grab a few minutes of your time? I'm working on an OSS Airflow abstraction and wanted to discuss it in comparison to some of the points you made :).
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Daniel Imberman retweeted
A glib line I have said for years: the first AI designed to disemploy programmers was called a compiler. It worked very well and caused explosive growth in programmer employment.
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Daniel Imberman retweeted
i find that GPT4 acts as a cognitive energy augmentation. you tire less easily trying to wade thru drudgery. it’s not smarter than you, it’s just seen all the common failure modes ever and knows how to debug them
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Daniel Imberman retweeted
AI tech is creating entirely new creative workflows. NeRF's are 1 example I'm particularly excited about, & a company called @LumaLabsAI makes capturing them insanely easy. 🧵 Thread breakdown of workflow
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Daniel Imberman retweeted
Holy shit. GPT-4, on it's own; was able to hire a human TaskRabbit worker to solve a CAPACHA for it and convinced the human to go along with it.
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Daniel Imberman retweeted
Company accounts invariably have more than $250k in them; it’s where payroll comes from, as the first priority. All SVB’s customers did was “put their operating capital in a bank.” If banks that aren’t basically JPMC come to be viewed as uncertainties we’ve got problems.
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Daniel Imberman retweeted
we just successfully sent a text message to a friend 500ft~ away while on airplane mode
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There’s love, there’s true love, and there’s “I’ll drive you to LAX” love.
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If you are financially secure for a few years, this might be the best time to start a tech company in the last decade.
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I’d say for me it’s the Andrew Huberman -> Joe Rogan -> Jordan Peterson pipeline. At least that’s what YouTube seems to think.
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Daniel Imberman retweeted
Incredibly based HN comment. news.ycombinator.com/item?id…
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Daniel Imberman retweeted
Replying to @Support
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But twitter has taken 13 billions in loans. Do the company’s value at this point is soundly in write off territory. 3/
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