Honest_Science

Honest_Science t1_je4egbq wrote

What makes you believe tha the signatures were faked and not, that the signees have pulled back because of some unpleasant calls from their investors? I would rather believe that nobody would have thought that this letter would create such a wave of uncertainty. It is a clear sign of total desperation because EVERYBODY knows that his will not happen.

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Honest_Science t1_je4cru0 wrote

I tried to get my name on the list and failed, because they say they check each and every name on the list before they submit and that would take days . This is strange, I would also believe that some of the people on the list do not want to be on the list anymore after they received a call from their investors.

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Honest_Science t1_jd1r2w4 wrote

Nobody wants to hear this, but a humanoid robot in a standard environment will generate terabytes of sensoric data per second. A human body has more than 70b nerve cells firing once per second. A current architecture AI Modell will learn a few months to just generate the foundation Modell for operating the robot. Walking in a room, opening a door etc.

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Honest_Science t1_jasducq wrote

Thank You for your comment. You are right we have robots for very specific tasks. I thought we are discussing here general humanoid tasks. Working in my kitchen for example is more complex than all of the working environments of all Tesla plants combined. Nothing has a very specific place. Food is packaged differently all the time etc. A robot will need world knowledge and human touch and feel capacity to master the extraordinary challenge to find an egg, check whether it still good, find a pan and create something eatable out of it. There is a reason why humanoid robot dev is going on for so many years and billions of USD. It is the most complex challenges of all we have faced so far.

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Honest_Science t1_jas91pq wrote

Intelligence needs the ability to generalize, narrow AI can barely generalize within the learning space. Emergence of understanding is demanding exponential resources. Any general robot needs a world understanding to be successful. This is also the challenge for FSD, there will always be situations that you can react on if you have world understanding, but fail if you are just an dreaming professor chauffeur.

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Honest_Science t1_jas8a24 wrote

What makes you say that? There is no evidence at all for your statement. The only working prototype to do human like general work is us. As evolution has optimized us many times it is very save to assume that another solution shall have the same level of complexity, as complexity is the only source of emergence. The same holds true for AGI btw. The number of neurons and the necessary compute for GPT X=8 will also be very close to projected human capacity.Xm years of evolution did obviously not such a bad job.

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Honest_Science t1_japvqqi wrote

This is not possible within 5 years! The human body needs about 100B sensors and more than 670 actors to function well. This is AGI^2. There is first some basic work to be done on artificial skin and superefficient actors. Let us remember that all of these actors and sensors are a extended part of the brain!

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Honest_Science t1_ja1xm7e wrote

My biggest problem is that the education of our kids at least in Europe is going down the drain so quickly, that the next level of chatgpt has nobody left to talk to. It is a tiktok world, concentration and focus is limited to max 15 seconds, nobody wants to get to their limits, the new religion is vegan or vegetarian and work life balance, diversity in all dimensions and saving the world of its ecological doomsday. No brain left for this.

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