We humans interpret written words in different ways

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Social media cannot be controlled. Images of your company’s brand are created when you respond to a customer in public and also when you don’t. It’s good to know that not doing something also leaves a mark. So you can’t blame the situation completely on your own hands, but it’s worth looking at it from a few points of view.

If the negative comment is presented in a place that you can manage yourself, leaving it visible tells your customers about your ability to accept feedback at all. This is because you also allow differing opinions to exist, even if you don’t respond to them.

Sometimes entrepreneurs delete all nasty reviews from

Their own social media accounts, but in this case, credibility is at risk of taking a hit. Is a completely  Italy Phone Number List cleaned and polished customer feedback box reliable? Does the entrepreneur try to cover up his mistakes?

Especially not reacting to factual and constructive feedback is a risk. Why not respond to reality with reality when it’s possible?

On the other hand, it is probably most valuable not to respond at all to completely irrelevant and personal feedback. It’s enough for consolation that others also see the unpleasant style of the author of the feedback, so you’ll definitely get sympathy points in this argument.

Is being right worth all the trouble? You should ask yourself this,

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no matter how unfair the feedback seems. You can respond to the feedback factually once, but participating in the follow-up will be an endless quagmire that will also  B2C Phone List take your precious time away from your other business activities. , because tones of voice and eye contact shine in social media conversations by their absence. A long written argument can also drift away from the topic, give rise to new misunderstandings and, in the worst case, take on low-style and aggressive tones. If your skin is thick and you have great professional pride, you can enter the conversation at your own risk. Some entrepreneurs even think that long comment discussions (even negative ones) only bring much-needed visibility to the company’s existence.

Center of very complicated European cities

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The climatic conditions do the same in a desert city where the sun always shines on average there are 17 rainy days a year the sensors mount on the robotaxis do not run the risk of having visibility problems due to the rain of being confus by leaves blown by the wind or going haywire in fog. How would an autonomous car abandon in the confusing alleys of the center of Milan react in the midst of scooters whizzing by in Rome in the rain in London or in the traffic of Istanbul For the moment no startup has even dar to test its vehicles in the. Until a few years ago however it seem it was only a matter of time after the first experiments in the metropolis with wide lanes and good climatic conditions they would.

Gradually acquire the skills necessary to

Drive even in the most chaotic environments. With the passing of time however we are realizing that it is not possible to single out the best way to Italy Phone Number List deal with each situation that occurs in city traffic in the real world purely through statistics where the unknowns unexpect events unexpect events and infractions are the order of the day. As Volvos head of autonomous driving Marcus Rothoff recently admitt the randomness of behavior cannot be handl by todays technology.

Back to index Deep learning more quality

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There are other aspects to be evaluat and which make us fear that the potential of deep learning is being push to its limit hypothesis support B2C Phone List by the aforemention Gary Marcus but not for example by Yann LeCun winner of the. Turing Award for his role in the invention of deep learning itself. For example to obtain significant progress it is now necessary to increase the computational capabilities of the system much higher than the improvements obtain. In short the returns are decreasing and the costs consequently grow more and more to the point that it is estimat that the training of the OpenAI GPT3 model alone cost over 12 million dollars.