Dora Jambor

Founder & CEO @hellomohana | previously: AI research @MILAMontreal, @rllabmcgill, recommender systems @shopify | S1'16 alum @recursecenter | runner and yogi.

[Dora Jambor @dorajambor]

@siobhanmitchell yum! I've been rotating between cinnamon, ginger, cardamom, and sometimes rose water. I find that with these spices and flavors, it tastes great even without sugar.

[Dora Jambor @dorajambor]

@cyantist @OriginsProject @LKrauss1 2hrs in, 1.5 more to go. Have been really enjoying it so far. What a story @cyantist, I think we would be friends.

[Jim de Wilde @jimdewilde]

GLOBAL VC #SLUSH24 STARTUP RECOGNITION https://t.co/ZCblASo3Gs @dorajambor @Dev_A11y @hellomohana @suhas_inni https://t.co/fHmEWDJFhp @filipdames @cherryventures @JulietRoseB @generalcatalyst @Nima_Salami CONGRATULATIONS TO ALL and @OASYSNOW for winning https://t.co/g2lhIGYAIR

[Dora Jambor @dorajambor]

@m_ashcroft How do I repost the whole thread wow, this is so spot on!

[Andrew D. Huberman, Ph.D. @hubermanlab]

I am hosting an OB/GYN (MD) who is both a fertility and general female hormone health expert, on the Huberman Lab podcast today. What would you like me to ask her?

[Dora Jambor @dorajambor]

@itsmewaldi @paulg How do you measure 'qualified' and how do you remove human biases in that measurement? Not so much of common sense question anymore..

[Dora Jambor @dorajambor]

@alexiskold Explainability is about understanding what components of the input are responsible for triggering a certain output in a model. And understanding how sensitive is the model to small deviations in the input to flip the model's outputs.

[Dora Jambor @dorajambor]

@alexiskold FWIW my goal was not to (wo)mansplain here. Rather I figured that you may be interested in hearing a different POV to your statements from an AI scientist.

[Dora Jambor @dorajambor]

@alexiskold AI models being compared to random functions simultaneously as being compared to if/else functions, is the contradiction.
AI models are not random functions. They are all about pattern detection (!!), which is why saying that there is no pattern is incorrect.

[Dora Jambor @dorajambor]

@alexiskold Understanding if/else patterns in AI models is more difficult due to their complicated non-linear nature. That said, AI models are still all about pattern recognition.

[Dora Jambor @dorajambor]

@alexiskold Your points contradict one another here. If/else statements are fundamental in logic, and are based on a very concrete pattern.

[Dora Jambor @dorajambor]

@alexiskold non-linearity vs explainability are two separate questions. Demanding explanation from AI models is a very valid thing to do, and has been an active area of research in AI for a **very** long time.

[Dora Jambor @dorajambor]

@benno_krojer oh there is a Minh and a Benno. Where were you guys?

[Dora Jambor @dorajambor]

Feels so good to come back to coding after a long hiatus

[Dora Jambor @dorajambor]

@alexiskold Montreal is the best!

[Dora Jambor @dorajambor]

not many things in life beat an ice cold shower after a summer run

[Dora Jambor @dorajambor]

@hubermanlab "Optimize" to me suggests that something is wrong with the individual right now. It's a word that's quite coupled with shame culture. Instead, why not use "grow", "work on your best version", or "improve"