AlainChabrier

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AlainChabrier

AlainChabrier

@AlainChabrier

Decision Optimization Senior Technical Staff Member at IBM [email protected]

Valbonne, France Katılım Nisan 2018
28 Takip Edilen192 Takipçiler
AlainChabrier retweetledi
Yann LeCun
Yann LeCun@ylecun·
Si vous pensez vraiment que le "hype" & la pub sont plus importants que la technologie, vous risquez de vous faire arnaquer par le prochain Theranos, ou la prochaine startup qui voudra vous vendre un ordinateur quantique non-existant, un système d'AGI, ou la vie éternelle.
[Enikao] ✏️@eni_kao

[Kouote] "J'essaie de corriger la perception du public." - @ylecun. C'est bien là l'erreur : en matière d'#innovation, la perception et l'adoption font tout, d'où le rôle du marketing et de la hype. L'avancée purement technologique n'est que secondaire.

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AlainChabrier retweetledi
Yann LeCun
Yann LeCun@ylecun·
To be clear: I'm not criticizing OpenAI's work nor their claims. I'm trying to correct a *perception* by the public & the media who see chatGPT as this incredibly new, innovative, & unique technological breakthrough that is far ahead of everyone else. It's just not.
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Vivid Void
Vivid Void@vividvoid·
gm to this IBM training slide from the 70s
Vivid Void tweet media
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AlainChabrier
AlainChabrier@AlainChabrier·
@JFPuget @gglockner @erothberg That is a possible way to conclude. We could also have discussed why good technical people have difficulties to be good managers in big companies. They target excellence, have difficulties with compromise, are not interested with relations and politics, don't align with average.
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JFPuget 🇫🇷🇺🇦🇨🇦🇬🇱
JFPuget 🇫🇷🇺🇦🇨🇦🇬🇱@JFPuget·
Is Elon musk excellent in aerospace propulsion, self driving models, car engineering, etc? Or is he setting criteria he doesn't meet? I vote for 2. He is certainly a business/pr genius, but technically excellent?
Elon Musk@elonmusk

I strongly believe that all managers in a technical area must be technically excellent. Managers in software must write great software or it’s like being a cavalry captain who can’t ride a horse!

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AlainChabrier
AlainChabrier@AlainChabrier·
Electricity providers are facing the problem of deciding which power units to operate, in which periods and at what level in order to satisfy the demand for #electricity. This problem can be solved using #DecisionOptimization. @AlainChabrier/unit-commitment-cd567add409b" target="_blank" rel="nofollow noopener">medium.com/@AlainChabrier…
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AlainChabrier
AlainChabrier@AlainChabrier·
@BoyzZazen @JFPuget Isn´t Kaggle demonstrating the contrary? That with the same tools, some skilled and passioned grand masters who have spent time learning can really do much better than others?
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Zazen
Zazen@BoyzZazen·
@JFPuget A platform like Kaggle geared towards OR (and related fields) would go a long way in changing that perception.
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JFPuget 🇫🇷🇺🇦🇨🇦🇬🇱
JFPuget 🇫🇷🇺🇦🇨🇦🇬🇱@JFPuget·
Lots of interesting reactions to my tweet, thanks to all ! I should have been more precise in my question: why is deep learning perceived as easier to use than mathematical optimization? I am discussing perception, not reality: there are user friendly optimization tools.
JFPuget 🇫🇷🇺🇦🇨🇦🇬🇱@JFPuget

I always wondered why deep learning community managed to create frameworks that can be used without a PhD while the mathematical optimization community didn't. Deep learning isn't simpler than, say, MILP. But it is perceived as being easier to use.

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AlainChabrier
AlainChabrier@AlainChabrier·
@JFPuget Not referring to any DL/ML or OR/MP tools in particular. but to the general perception. The former appears to be easy to use, but in fact not so many people can use it with results in practice. The latter appears to be hard to use. Still some people have great results with them.
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AlainChabrier
AlainChabrier@AlainChabrier·
@JFPuget Some DL tools, and some ML tools in general, can give the impression to be accessible to anyone, but in practice, not anyone will be able to solve real problems with them.
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JFPuget 🇫🇷🇺🇦🇨🇦🇬🇱
JFPuget 🇫🇷🇺🇦🇨🇦🇬🇱@JFPuget·
@AlainChabrier "MP community did not want to create apparently simple tools that would not really solve real problem in practice [...] Probably someone around the DL community was less concerned about this. " implies that some DL tools don't solve real problems in practice.
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AlainChabrier
AlainChabrier@AlainChabrier·
@JFPuget No. Reread my initial reply :) Some people solve real problems with DL. But certainly a much bigger number of users (who use it as it looks easy) in fact do not to solve real problems.
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AlainChabrier
AlainChabrier@AlainChabrier·
@JFPuget MP community did not want to create apparently simple tools that would not really solve real problem in practice. At least I don't want. Probably someone around the DL community was less concerned about this. Better good hype or a solving real and hardest problems for 50 years?
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