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jengleton

42 karma · joined July 12, 2020

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jengleton··on DuckDB – An in-process SQL OLAP database management system
Great to see this posted here! DuckDB is an integral part of an in-browser data analytics tool that I've been working on. It compiles to WASM and runs in a web worker. Queries against WASM DuckDB regularly run 10x faster than the original JavaScript implementation!
jengleton··on Hyperloop: Pipes of Fancy
You might not want to pop the emergency hatch when you're surrounded by vacuum.
jengleton··on OpenAI's GPT-3 may be the biggest thing since Bitcoin
Also interesting to note that a good portion of people lack an internal monologue. This interview made the rounds a while back: https://www.youtube.com/watch?v=u69YSh-cFXY
jengleton··on OpenAI's GPT-3 may be the biggest thing since Bitcoin
Hold up, you can't just throw out a claim like "many animals are sentient" as if it's a statement of fact. You might be right, but there's a reason that "the hard problem of consciousness" is hard. We don't really have any way to distinguish sentience/non-sentience based on behavior. The whole concept is extremely mushy.
jengleton··on Deschooling Society (1970)
The illiteracy rate in the US is really quite incredible, with the federal government reporting something like 20% of the population to be "low literacy"

https://nces.ed.gov/datapoints/2019179.asp

jengleton··on Dude, You Broke the Future (2017)
If I were to paraphrase the comparison, it might be something like:

"An AI is some constructed entity which, starting with a goal, uses its intelligence to make changes to the world in order to bring that goal to fruition. One of the things about AI that is worrying is that its system-of-values might have no relation whatsoever to those possessed by human beings, and the best way for it to accomplish its goals might be to do things that most people would consider quite nasty. AI systems that are trying to maximize something are in constant tension with the laws that we put in place to try to keep them from steamrolling over everything in pursuit of their goals. Corporations fit the bill, under the assumption that the goal is 'maximize shareholder value'."

While a nest of ants or a swarm of bees certainly exhibit interesting emergent behavior, perhaps even collective intelligence, they 1). aren't constructed and 2). don't have clear goals.

You could argue that smaller groups of people fit the bill too, I guess. Maybe the difference is that corporations tend to have distinct goals which outlive their members, and that they have special recognition under the law as independent entities. Not sure.

jengleton··on Dude, You Broke the Future (2017)
In the video linked above, Robert Miles models organizational idea-generation as something like "everyone thinks of their best idea, and then we just pick the best from that set". That's definitely a simplification. I do think there's some notion of "synergy", where people working together can hammer an idea into shape more effectively than either could alone.

However, I suspect that there's also a counter-force, a "diminishing returns" effect: as more people get involved in an organization, coordination becomes more difficult, communication becomes more expensive. If this converges to some limit, then that's the smartest a human organization can be.

Maybe better methods of organizing knowledge could help raise that limit, or more effective modes of communication, but my suspicion is that the upper bound for "organizational decision making capability" is within one or two orders of magnitude of a single person, not vastly more. No idea how we'd actually quantify that, of course!

jengleton··on Dude, You Broke the Future (2017)
Sure! I don't see any reason why it would be impossible either, but the (hypothetical) problems are very interesting. Starting with the most basic problem of all: how do we even specify what we want the AI to do? The whole field of AI safety is trying to figure out a way to write rules that an agent wouldn't instantly try to circumvent, and to find some way to provide basic guarantees about the behavior of a system that is incentivized to do bad things (just like corporations are incentivized to find loopholes in the law, hide their misdeeds, and maximize profits at the expense of the common good).
jengleton··on Dude, You Broke the Future (2017)
Yeah, I agree. My original post was bringing up what I thought was an interesting comparison between hypothetical software AI and the corporations-as-AI metaphor presented in the talk.

Corporations _are_ acting as misaligned optimizers. Solving that problem is hugely important. However, the "AI" comparison breaks down somewhat when you start thinking about how we might actually fix the problem. With corporations, we (i.e., states) have tools that we can use to regulate bad actors. Software AI, however hypothetical at the moment, seems likely to be a different game all-together.

jengleton··on Dude, You Broke the Future (2017)
So I think the question is: when a group of people work together on something, can they generate ideas which are better than the best idea of any member of the group? If so, how much better? How does the effect scale as the size of the group increases?

An R&D lab certainly can do more work than any single person could do in their lifetime, but are the ideas fundamentally better? Can you point to an idea and say: "no person could possibly have thought of that"?

jengleton··on Dude, You Broke the Future (2017)
That's fair. I interpreted the comparison as being between "AI implemented as a property of human organizations" and "AI implemented as a powerful search algorithm". While corporations can certainly be dangerous, they're still made of people and thus are unlikely to want to do things like "convert the entire mass of the solar system into dollar bills" (and even if they did, they'd have a hard time doing it). A sufficiently powerful search algorithm would find all sorts of bizarre ways of satisfying its goals. The point is that the scope of the risk is quite different when talking about corporations (order of magnitude: screwing up the environment in pursuit of easy profit) vs "real" AI which, if granted agency, would have potentially unbounded risk.

Another way to look at it is with regards to capacity for self-modification. If a corporation can't re-structure itself into being much smarter than the smartest human, its intelligence is fundamentally limited, and therefore so is the risk. Does software have this restriction? We don't really know yet, but it's hard to point to exactly why it would.

jengleton··on Dude, You Broke the Future (2017)
Robert Miles has an interesting response to the claim that corporations are AIs: https://www.youtube.com/watch?v=L5pUA3LsEaw

To paraphrase: yes, corporations function as agents, but their maximum performance is limited by the capabilities of their employees. A corporate AI may have a much broader set of skills than any single person, and may be able to tackle many concurrent tasks, but as an "intelligent agent" its decision making capabilities probably don't scale exponentially (or even linearly) with its headcount. In the sense that a corporation's maximum intelligence is likely to be in the same ballpark as the smartest humans, it can't be seen as a true superintelligence.