A humble Mongolian cybernetician steering through the digital steppes
Barbarous Relic Horde
Joined February 2022
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you are here for an extra $10 payout on 10k more impressions
i am here to get a feel of noospheric resonance
we're not the same
you have $10
your wife boyfriend revoked your access to the cuck chair. adding insult to injury, he refused to elaborate. worst of all, you were never late on chair rent
This sucks!!
I lost my main @OpenAI account after using Codex to analyze access logs to my own apps and services π€―
I've been using this account since the beginning, and even appealing the decision did not make a change.
What can I do?
But imagine the kind of honeypots you can set up nowadays. So long as you can identify smth as part of the swarm, then you can route it towards an entirely fake environment - generated reports, receipts, entire databases with synthetic data, no swarm by itself will catch that
Your moat is no longer merely a flawless and bug free architecture of the castle wall, but a layered defense full of false targets. Defense bots manning the walls are probably necessary, but very costly if deployed one-to-one to the attack swarms. It is now defense in depth
not a meme study, mind you. but before jumping to blaming the AI, here's the important observation: it's how you use that's the real game changer. if it's a mere shortcut for doing less and jumping the line, then it merely turns into a cognitive debt that'll manifest itself later
naturally, 80% (Pareto, hello again) choose to simply jump the line and get hit by the consequences later, while 20% get the best of both worlds. i suspect it'll be the same proportion in nearly every other application
papers.ssrn.com/sol3/papers.β¦
Vantage Point β¨ π¦ retweeted
Ownership matters because accountability without understanding is a trap: the ability to describe, reason about, defend, and effect change in a system is a non-negotiable pre-requisite to long term stewardship and accountability for software systems.
I really need a bike test on every use of LLM in my pipelines along with the number of tokens generated. For example, if I need an equivalent of a thousand miles bike ride to get to where I need to be, then am I even in a proximity to the task at hand intellectually?
Vantage Point β¨ π¦ retweeted
The problem of our time is not merely information overload. It is that the time required to construct a coherent understanding of reality is becoming longer than the time during which that understanding remains valid.
but what's funny is that the same query to the same model produces wildly different estimates, anywhere between a 100 million and a few billion
That's one of the most obvious implications of the law of requisite variety as applied to the automated code generation
Vantage Point β¨ π¦ retweeted
there is an argument (which I've made privately until now) that one of the principal innovations of the large language model labs is a *legal* innovation, not a technical one
by building a system that hoovers up mind-bogglingly large volumes of human information and feeds it into a recombinatorial association machine, the companies have bulldozed the existing IP regime and made the contents of ~all human IP (including the most mundane) searchable, reconfigurable, and usable while also obscuring any trace of origin and eliminating a need to provide credit or attribution. much of the perceived benefit is therefore access and exposure to IP people would not otherwise have had access to, presented behind a system that abstracts the IP from its context and history and presents it as net-new information.
I imagine we would have seen ~similar productivity outcomes had Google actually been allowed to make productive use of the Google Books database over a decade ago.
Iβm starting to get increasingly uncomfortable with the economics of AI as it is currently happening
It seems fundamentally wrong that a small number of people with access to a huge amounts of VC money can vacuum up all the contributions of humanity, often paying nothing for it, then turn around and get enormously rich while the many people who put all the work into creating the training data get nothing
I am generally pro-AI, but the way it is happening is seeming increasingly parasitic to me
A slightly outdated observation, but if there was a WYSIWIG aka What Your See Is What You Get, then why did WYPIWIG aka What Your Prompt Is What You Get was missing?
The question right now from a purely opportunistic cost point of view is whether you bet on the AI continuing its relentless advance going forward and thereby submitting to it as a human drone to it or finally retreating into a relative obscurity to do your own thing