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sonal
716 posts

sonal
@sonalk527
Tech Head | Trying to romanticise life | Love to build new stuff | INVICTUS MANAEÓ
Katılım Kasım 2019
1.4K Takip Edilen118 Takipçiler
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@SwaDotDev Working as L1 now... Can vouch for this... Who the hell aska LC hard level question as medium in the OA that too for 10 lpa🙃🙃🙃
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People are excited about Infosys paying 21 LPA for freshers.
Bruh even if you solve their 1st prob which is easy marked according to them, its a W to you.
That defines you have decent/good knowledge of DSA.
But for further questions like 2nd (medium), 3rd (hard), and 4th (complex) you really need to be a very good competitive programmer, thats where CF plays the role.
Infosys OA difficulty level for L1, L2, L3 roles is really not everyone's cup of tea.
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Mother’s Milk Is Not Ours 👍
Even Shri Amitabh Bachchan ji has acknowledged a simple truth..
a mother’s milk in the dairy industry is meant for her baby, not for humans.
Milk does not come from machines.
It comes from a mother who is forcefully bred, separated from her child, and milked for profit.
Her baby is deprived of nourishment and love, while we are taught to see milk as “normal” and “essential”.
Motherhood is sacred; for every species.
Respecting mothers also means respecting the right of animal mothers to feed their own babies.
It’s time to question habits, traditions, and industries built on injustice.
Choose food that does not come from suffering.
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Startup idea: offer thermodynamics lessons to design students.
djcows@djcows
Startup idea: faucet turbine to generate electricity from running water
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@tumkokyahai Ye bhulne ka khel bahut purana hai,
Na jane itni mushkil kyu unki tasveer hatana hai,
likha tha hayaat e kitab pe naam ek dafa,
Ab to sirf khare pani se, wo aakhri ask bhi mitana hai...
हिन्दी
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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: deeplearning.ai/the-batch/issu… ]
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@panic_coder @techsavysam This was my last time trying to reach out to someone....
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