Jack Raifer Baruch

#DataScience / Head of Data Science @ADAIntelligence / #AI #Ethics / #66DaysOfData / Writer / Data Instructor /

[Jack Raifer Baruch @JackRaifer]

When starting on the road to #DataScience, there are so many ways to start learning that it can be hard to figure out where to start.

Here is my take on the different ways to learn, their pros and cons.

#DataScience
#MachineLearning
#66DaysOfData

https://t.co/qdvzZ5GpFj

[Jack Raifer Baruch @JackRaifer]

@Python_Dv D) Error

Initially you get an indent error on line 3, the print statement should be indented.
If you fix that, you get another error for the missing colon on the else statement.
If you fix that you get one more indent error on the print statement after the else.

[Programmer Humor @PR0GRAMMERHUM0R]

machineLearning https://t.co/9ewB2nm22p

[Andrew Ng @AndrewYNg]

Last week, China barred its major tech companies from buying Nvidia chips. This move received only modest attention in the media, but has implications beyond what’s widely appreciated. Specifically, it signals that China has progressed sufficiently in semiconductors to break away from dependence on advanced chips designed in the U.S., the vast majority of which are manufactured in Taiwan. It also highlights the U.S. vulnerability to possible disruptions in Taiwan at a moment when China is becoming less vulnerable.

After the U.S. started restricting AI chip sales to China, China dramatically ramped up its semiconductor research and investment to move toward self-sufficiency. These efforts are starting to bear fruit, and China’s willingness to cut off Nvidia is a strong sign of its faith in its domestic capabilities. For example, the new DeepSeek-R1-Safe model was trained on 1000 Huawei Ascend chips. While individual Ascend chips are significantly less powerful than individual Nvidia or AMD chips, Huawei’s system-level design approach to orchestrating how a much larger number of chips work together seems to be paying off. For example, Huawei’s CloudMatrix 384 system of 384 chips aims to compete with Nvidia’s GB200, which uses 72 higher-capability chips.

Today, U.S. access to advanced semiconductors is heavily dependent on Taiwan’s TSMC, which manufactures the vast majority of the most advanced chips. Unfortunately, U.S. efforts to ramp up domestic semiconductor manufacturing have been slow. I am encouraged that one fab at the TSMC Arizona facility is now operating, but issues of workforce training, culture, licensing and permitting, and the supply chain are still being addressed, and there is still a long road ahead for the U.S. facility to be a viable substitute for manufacturing in Taiwan.

If China gains independence from Taiwan manufacturing significantly faster than the U.S., this would leave the U.S. much more vulnerable to possible disruptions in Taiwan, whether through natural disasters or man-made events. If manufacturing in Taiwan is disrupted for any reason and Chinese companies end up accounting for a large fraction of global semiconductor manufacturing capabilities, that would also help China gain tremendous geopolitical influence.

Despite occasional moments of heightened tensions and large-scale military exercises, Taiwan has been mostly peaceful since the 1960s. This peace has helped the people of Taiwan to prosper and allowed AI to make tremendous advances, built on top of chips made by TSMC. I hope we will find a path to maintaining peace for many decades more.

But hope is not a plan. In addition to working to ensure peace, practical work lies ahead to multi-source, build more chip fabs in more nations, and enhance the resilience of the semiconductor supply chain. Dependence on any single manufacturer invites shortages, price spikes, and stalled innovation the moment something goes sideways.

[Original text: https://t.co/5bdEpQcaob ]

[Jack Raifer Baruch @JackRaifer]

Best description of #Debugging ever.

#Coding
#Python

[Jack Raifer Baruch @JackRaifer]

A few words on the importance of #SocialEomotionalSkills to reduce bullying.

[ADA Intelligence @AdaIntelligence]

🌐 November 7th is the International Day Against Bullying and Cyberbullying 🌐
This form of violence affects not only students but also impacts health, well-being, and productivity in workplaces around the world, touching millions of lives.

[Jack Raifer Baruch @JackRaifer]

@AdaIntelligence Bullies and their victims both suffer from a lack of social-emotional skills, the only difference is that the bully lacks empathy.

Developing these skills is the solution to solving the bullying problem.

How can we help?

[Jack Raifer Baruch @JackRaifer]

Bullies and their victims both suffer from a lack of social-emotional skills, the only difference is that the bully lacks empathy.

Developing these skills is the solution to solving the bullying problem.

How can we help?

[ADA Intelligence @AdaIntelligence]

Empowering Environments Start with Understanding 🌟 Did you know? The latest survey shows that both victims and perpetrators of bullying often share low levels of responsibility, emotional control, and trust.

[Jack Raifer Baruch @JackRaifer]

Este #Halloween escoge descubrir tus habilidades socioemocionales con @AdaIntelligence.

[ADA Intelligence @AdaIntelligence]

🎃👻 ¿Truco o Dato?👻🎃 Este Halloween, ADA se pone la capa y las gafas al estilo Matrix para llevarte a un mundo donde el poder de tus datos puede mejorar tu vida cada día. 🕶️ #BetterWithADA #AIforGood

[Jack Raifer Baruch @JackRaifer]

@kareem_carr This is so true, I have not been able to fit in anywhere since I learned the meaning of Eigenvalue, and I have migrated twice since then.
Maybe we should build our own land. Long live #Eigenvaluers.

[Jack Raifer Baruch @JackRaifer]

Prompt Engineering is a very fancy way to describe the millenary art of good, clear and concise written communication.

Change my mind...

[Jack Raifer Baruch @JackRaifer]

This was a ton of fun.

[ADA Intelligence @AdaIntelligence]

ADA - Connect: AI Innovators event! 🏆
✨ Exciting News! ✨
We are thrilled to announce that ADA has won second place at the Connect: AI Innovators event! 🏆 Our Head of Data Sciences, @JackRaifer Baruch,
https://t.co/2IfDXYe9K6

[Jack Raifer Baruch @JackRaifer]

The Next Web and The Tech Panda, among others.

If you want to join us, the event is virtual, free and there is space to ask questions to the panel and connect with industry professionals, you can register through this link: https://t.co/MRW8cp5B3q

[Jack Raifer Baruch @JackRaifer]

Hello community, on this occasion we would like to invite you to join us for this interesting event, Connect: AI Innovators, designed to bring together leading members of the media with startups like us.

[Jack Raifer Baruch @JackRaifer]

@adaintelligence will be presenting to a panel of expert journalists on technology topics who will ask us questions and learn more about the impact and purpose of @adaintelligence. The confirmed media panel includes journalists and contributors from VentureBeat, former TechCrunch

[Jack Raifer Baruch @JackRaifer]

What is the correct way to pronounce Data?

[Jack Raifer Baruch @JackRaifer]

So, do you say Data or Data?

[Anthony Bonato @Anthony_Bonato]

¡Dios mío!

[Programmer Humor @PR0GRAMMERHUM0R]

itsBeenEightHours https://t.co/bSWYmRLRJJ

[Programmer Humor @PR0GRAMMERHUM0R]

lateNightThoughts https://t.co/YrWBvp4jON

[Programmer Humor @PR0GRAMMERHUM0R]

howCanBeThisSoTrue https://t.co/lz6ligc38B