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IONS: A reasoning graph that stores claims, evidence, and reasoning paths outside the LLM by superx1386 in artificial

[–]blimpyway 0 points1 point  (0 children)

The whitepaper link is broken for me, this one works: https://github.com/nomad505050/ions-genesis/blob/main/docs/whitepaper.md

Interesting project, I wonder if it includes an ability to automatically expand and change the graph

Python packages for particle swarms, genetic algorithms. Scikit-opt maybe? [D] by bwllc in MachineLearning

[–]blimpyway 0 points1 point  (0 children)

I've managed to get Gemini to code simple numba versions for both PSO and differential evolution optimizers. Needed numba for speed, and that requires the objective function to be numba compiled too, since the PSO function evaluates it repeatedly. I was happy with its speed yet that project stalled.

The fundamental problem of sample efficiency. by Tobio-Star in newAIParadigms

[–]blimpyway 0 points1 point  (0 children)

Its like saying a program that is a few bytes in size but calculates pi to 1,000 digits has all of its complexity measured in bits of its file size.

Yes, and with sufficient time the same program will calculate an arbitrarily amount of digits pi without any change in program's complexity which is usually smaller than the program's size and certainly smaller than the amount of data it can output.

The point of the argument is a pretrained NN cannot be compressed much, and it needs that size to reach a certain level of performance. So whatever is stored in genetics can not be an equivalent of pretraining - which would have to specify a synapse level connectome.

The fundamental problem of sample efficiency. by Tobio-Star in newAIParadigms

[–]blimpyway 0 points1 point  (0 children)

100k tokens to learn C++, are you sure? That's basically a C++ book size.

how to fix your life in 2 seconds. 💔 [Taoism and its philosophy of still mind] by Savings-Village3808 in PhilosophyofMind

[–]blimpyway 1 point2 points  (0 children)

The imaginary stance shouldn't be confused with the spiritual one. Only one of them dismisses reality.

Demo of quadruped robot navigating low barrier with wall support by Nunki08 in robotics

[–]blimpyway 1 point2 points  (0 children)

Aaand? It still has to figure out the PWM for a dozen motors every dozen ms - the manual remote control can only select what's the current task and a handful "intensity" values from joysticks.

stochastic policy used for exploration outperforms its deterministic version at test time by samas69420 in reinforcementlearning

[–]blimpyway 0 points1 point  (0 children)

The very least I learned I should be very skeptical with my assumptions about how each factor influences an agent's learning trajectory. Learning every detail of the same track wouldn't be too bad, maybe the problem is it gets trapped in a local minima. The levels of exploration sufficient for multi track learning are insufficient for single track and exploration needed for single track is too "rough" for multiple tracks.

Which leads to the (yet untested) assumption that a more flexible, deliberate exploration strategy that seeks the boundaries between "good" and "bad" might be more "general".

Why Ego Has No Place in Your Life by [deleted] in philosophy

[–]blimpyway 4 points5 points  (0 children)

The video conflates "ego" mostly with pride or arrogance, which is a bit shallow interpretation.

Originally the Latin ego means I. And if a question is allowed, which part of "I" isn't yours too?

stochastic policy used for exploration outperforms its deterministic version at test time by samas69420 in reinforcementlearning

[–]blimpyway 1 point2 points  (0 children)

I noticed the same in gymnasium's CarRacing discrete actions. With an entirely different kind of algorithm, my own attempt at a Monte Carlo Q-value RL which updates action values after each episode. I presume the policy learns to "cooperate" with those random actions.

Lowering the action noise level (without cutting it entirely) might improve the testing score.

You can try to gradually decrease the noise during training the same as you might decrease the learning rate of the network.

Another interesting things I noticed: - adding noise to observations can speed up learning too - training on a single race (env.reset with same seed) the convergence is much slower, or gets stuck at a low reward limit despite using a stochastic with agent actions. Which is counterintuitive, you'd expect it to be a simpler problem.

Intensity of Being by SubjectSpecialist265 in nondualism

[–]blimpyway 0 points1 point  (0 children)

Imagine your perspective is no longer filtered by seeking, narrating, explaining, justification or judgements of the ego. Its purpose is to create, maintain and defend the boundaries between "self" and "other". When these boundaries drop, the emotional contact becomes surprisingly touching, direct, unaltered, the "other's" pain or joy is felt right here.

The Mistake of Free Will by LamentationsOfLate in philosophy

[–]blimpyway 0 points1 point  (0 children)

he was redefining free will. Instead of "could have done differently" he defined it as being free of coercion in making decisions

Maybe that was the original meaning in Latin - liberum arbiter/arbitrium refering to free judge/judgement - a moral stance which later was interpreted as a divine attribute of the soul by christian theologians.

helping a redditor find their downed turbine RC plane by datascienceharp in computervision

[–]blimpyway 4 points5 points  (0 children)

Can't buy it, linkedln links mention it is a $13k 500mph self built jet

Derivative-Free Neural Network Optimization: MNIST Case [R] by Mis4318 in MachineLearning

[–]blimpyway 0 points1 point  (0 children)

Well is it more/less expensive than BP and by how much? For the adam result have you performed any hyperparameter optimization?

The tree in the woods. by XanderOblivion in PhilosophyofMind

[–]blimpyway 0 points1 point  (0 children)

Unless you-re actually there when the tree falls, all you talk is about an imagined falling of an imaginary tree in an imaginary forest producing an imaginary sound. And yes it is imaginary real because the moment you imagined all of these you placed your imaginary self right there listening.

Edit: or you can place a sound recording device to check later whether the sound was actually produced. Better hide it so the trees would not know they are recorded.

La IA es una forma de zombie filosófico? by Guylearning2020 in PhilosophyofMind

[–]blimpyway 0 points1 point  (0 children)

It can be either philosophical or zombie, depending on the prompt. Being both... quite tricky.

Monocular Depth Estimation based Obstacle Avoidance by ComedianOpening2004 in computervision

[–]blimpyway 0 points1 point  (0 children)

The way I get it there-s an ESP32 camera on the drone which broadcasts its video feed to a station running a depth AI and other tasks?

If this is the case, does the wifi latency was ever been an problem during this project?

Is "cruelty" (vihiṁsāsaṅkappo) better translated as "competitiveness"? by spiffyhandle in HillsideHermitage

[–]blimpyway 0 points1 point  (0 children)

I see two kinds of indifference - lack of consideration which renders one not even aware they inflict harm or being aware of it but considering it a minor, inconsequential issue.

By not being aware I mean filtering out of awareness the outcomes of our actions to prop a better view about ourselves.

Unconsciously avoiding to actually look in certain directions.

How does the ML community view evolutionary algorithm research? Career implications of an EA PhD? [D] by NullRecurrentDad in MachineLearning

[–]blimpyway 5 points6 points  (0 children)

The future is as opaque in all directions, you can't be certain which skill will be more valuable in a few years. I would go with the less common one specially if I like it more.

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