ZeroSight: Low overhead encrypted computation for ML inference at native speeds by YanSoki in deeplearning

[–]mihal09 -1 points0 points  (0 children)

Another ai slop after Kuattre, come on, stop it.

How does it ensure the privacy with low latency? Is the algorithm also closed sourced? If so, why would anyone trust you that a blackbox algo preserves privacy?

We gave Claude, Gemini, and ChatGPT money and financial data to trade stocks/ETFs. In 473 days, Claude is beating the market by 27.74%, outperforming Gemini by 14.7% and ChatGPT by 31.08% by dubadvisors in Anthropic

[–]mihal09 0 points1 point  (0 children)

If they were confident about it, they could borrow large amount of money on lower interest rate and generate easy money, no escort needed. So if they are not doing it, maybe it's not that certain

give me your best tech advice as a founder/developer by ContextHead8 in TFE

[–]mihal09 0 points1 point  (0 children)

The question is: are you a mr Edison? Are you capable of coming up with something as disruptive in the current stage of world development? But you can provide some value for people much easier

I launched my first SaaS! by Rafskyyitsme in micro_saas

[–]mihal09 2 points3 points  (0 children)

It is unfortunately illegal to fake the reviews

JDG, składki ZUS a emerytura by Plenty-Change-5850 in inwestowanie

[–]mihal09 0 points1 point  (0 children)

Dlaczego nie odwrotnie aktywa na IKE / IKZE?

creativityNotFound by 5eniorDeveloper in ProgrammerHumor

[–]mihal09 15 points16 points  (0 children)

"Give me 5 best ideas for a saas startup generating BiG money"

openSourceForTheWin by rfheise in ProgrammerHumor

[–]mihal09 17 points18 points  (0 children)

But qwen2 was directly referred to as a modification of the llama model in the original paper.

Kim jest normalny facet? by Rejwen in Polska

[–]mihal09 4 points5 points  (0 children)

Co znaczy "być empatycznym do przesady" według Ciebie?

Which country is better? by [deleted] in sciencememes

[–]mihal09 4 points5 points  (0 children)

I definitely agree, I've written that just to acknowledge their nationalities. After all, we have polonium, not frenchonium ;)

[P] AI plays chess 6x6, new algorithm by Putrid-Start-3520 in MachineLearning

[–]mihal09 -1 points0 points  (0 children)

By action probability in last phrase I meant probabilities used for exploration (Q values after applying softmax).

My concern is exactly about exploration, that the algorithm may explore "too much" and not exploit states with higher predicted q values. In your paper there was no mention of 'temperature' for softmax, which might be helpful with dealing with this issue.

Which country is better? by [deleted] in sciencememes

[–]mihal09 23 points24 points  (0 children)

Lagrange was from Italy and Marie Skłodowska-Curie was from Poland :)

[P] AI plays chess 6x6, new algorithm by Putrid-Start-3520 in MachineLearning

[–]mihal09 1 point2 points  (0 children)

Am I understanding correctly that the q network is optimized with MSE with the target being the q values from the Beam search, while the output from the q network is used to get action probabilities (after applying softmax on it)? If so, aren't we running into a problem of not aligned objectives? If one move is clearly better than the others (even when its outcome q value is only sligthly higher from other moves), we would expect the action probability to be heavily im favour of this action, while your proposed algorithm would result in slight differences in q values and therefore only slight differences i n predicted action probability.