Raj Kumar

All tweets are strictly personal and retweets do not necessarily mean endrosment but shared for others as info.

[Raj Kumar @Rajkumar7]

Sunny day, heavy topic. ☀️🤖 Diving into the risks and realities of superintelligence. Is this really the end of the human era?

#ArtificialIntelligence #AI #TechEthics #FutureOfWork #BookRecommendation #MachineLearning #JamesBarrat

[Aria Westcott @AriaWestcott]

🚨 BREAKING: Google Research just dropped the textbook killer.

Its called "Learn Your Way" and it uses LearnLM to transform any PDF into 5 personalized learning formats. Students using it scored 78% vs 67% on retention tests.

The education revolution is here.

[Andrew Ng @AndrewYNg]

I just dumped the latest NVIDIA 10-Q earnings report, released an hour ago, into Agentic Document Extraction, and the results are really accurate! Left side of the image shows the original PDF; right side shows the extracted info, including e.g. the $57.01B revenue in the most recent quarter. This is powered by the DPT (document pre-trained transformer) model. Check it out!

[Andrew Ng @AndrewYNg]

I recently received an email titled “An 18-year-old’s dilemma: Too late to contribute to AI?” Its author, who gave me permission to share this, is preparing for college. He is worried that by the time he graduates, AI will be so good there’s no meaningful work left for him to do to contribute to humanity, and he will just live on Universal Basic Income (UBI). I wrote back to reassure him that there will still be plenty of work he can do for decades hence, and encouraged him to work hard and learn to build with AI. But this conversation struck me as an example of how harmful hype about AI is.

Yes, AI is amazingly intelligent, and I’m thrilled to be using it every day to build things I couldn’t have built a year ago. At the same time, AI is still incredibly dumb, and I would not trust a frontier LLM by itself to prioritize my calendar, carry out resumé screening, or choose what to order for lunch — tasks that businesses routinely ask junior personnel to do.

Yes, we can build AI software to do these tasks. For example, after a lot of customization work, one of my teams now has a decent AI resumé screening assistant. But the point is it took a lot of customization.

Even though LLMs can handle a much more general set of tasks than previous iterations of AI technology, compared to what humans can do, they are still highly specialized. They’re much better at working with text than other modalities, still require lots of custom engineering to get it the right context for a particular application, and we have few tools — and only inefficient ones — for getting our systems to learn from feedback and repeated exposure to a specific task (such as screening resumés for a particular role).

AI has stark limitations, and despite rapid improvements, it will remain limited compared to humans for a long time.

AI is amazing, but it has unfortunately been hyped up to be even more amazing than it is. A pernicious aspect of hype is that it often contains an element of truth, but not to the degree of the hype. This makes it difficult for nontechnical people to discern where the truth really is. Modern AI is a general purpose technology that is enabling many applications, but AI that can do any intellectual tasks that a human can (a popular definition for AGI) is still decades away or longer. This nuanced message that AI is general, but not that general, often is lost in the noise of today's media environment.

Similarly, the progress of frontier models is amazing! But not so amazing that they’ll be able to do everything under the sun without a lot of customization. I know VC investors who are scared to invest in application-layer startups because they are worried that frontier AI model companies will quickly wipe out all of these businesses by improving their models. While some thin wrappers around LLMs no doubt will be replaced, there also remains a huge set of valuable applications that the current trajectory of progress of frontier models won’t displace for a long time.

Without accurate information about the current state of AI and how it is likely to progress, some young people will decide not to enter AI because think think AGI leaves them no meaningful role, or decide not to learn how to code because they fear AI will automate it — right when it is the best time ever to join our field.
Let us all keep working to get to a precise understanding of what’s actually possible, and keep building!

[Original text: https://t.co/OfxCVPGKoq ]

[Raj Kumar @Rajkumar7]

@ElonMuskNews47 14

[Raj Kumar @Rajkumar7]

@elonmuskADO Zuze

[Raj Kumar @Rajkumar7]

@wiseconnector That, tact and trumpet 🎺

[Raj Kumar @Rajkumar7]

If you are looking for Happiness direction: “The Happiness Compass” a book by @thekarmachoden can be your guide.

[Dorji Wangchuk @DorjiWangchuk]

Ever wondered how you could apply the principles of Gross National Hapiness to guide your wellbeing & personal growth?

@thekarmachoden has written an excellent book - The Happiness Compass - which does that exactly. Now available on Amazon across all regions. #growth #Wellbeing

[Raj Kumar @Rajkumar7]

@DorjiWangchuk Enjoy your time in Bhutan 🇧🇹 charo

[Raj Kumar @Rajkumar7]

https://t.co/IzxBdPhniU

[Raj Kumar @Rajkumar7]

Huge crowd braves wet weather to see Bhutan’s king https://t.co/yNdeZplMiK

[khendum dorji @khendumdorji]

https://t.co/yhVlHxw362

[Raj Kumar @Rajkumar7]

Do you remember when you joined X? I do!
15 years already #MyXAnniversary

[Raj Kumar @Rajkumar7]

Good bright day.

[Raj Kumar @Rajkumar7]

An experience

[Raj Kumar @Rajkumar7]

Colors

[Raj Kumar @Rajkumar7]

Has International Women's Day become too far removed from its protest origins? - ABC News https://t.co/5pczkn8ZXu

[Raj Kumar @Rajkumar7]

@chimis Online, perhaps :-) and the race will happen online as well lol 😂

[Raj Kumar @Rajkumar7]

Art in nature

[Raj Kumar @Rajkumar7]

@DorjiWangchuk Somewhere down common :-)

[Raj Kumar @Rajkumar7]

Evening walks are soothing