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mehulashah
searching PlanetScale…
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1.
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by
mehulashah
22d ago
I am gobsmacked by this letter. Every one of the mathematicians on this letter was likely aware of the progress in AI, and knew this was coming if they were honest with themselves. Some have even helped pushed the agenda forward. Inevitably
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by
mehulashah
3mo ago
For all the naysayers in this thread, I gotta say you’re wrong. Vint is a class act. Humble, helpful, and optimistic. Not to mention one of the most impactful computer scientists of our generation.
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by
mehulashah
3mo ago
The first and seminal Indian tech blogger. I looked up to him. RIP.
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by
mehulashah
4mo ago
He makes it sound simple, and in some ways, it is. You have to not only build the thing, but also find the thing that people want. It’s the latter that’s as hard if not harder than the former. In addition, the converse is not true. Just bec
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by
mehulashah
4mo ago
To be clear: yes, it’s possible, it’s not too late. Read the book.
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by
mehulashah
4mo ago
Eric - I've worked for NASA, ATT, IBM, HP, Amazon, and Google, not to mention a couple of startups that I started in between. None of them (except the startups, but they were brief) stayed true to their original mission. I haven't
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by
mehulashah
4mo ago
Why not?
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by
mehulashah
4mo ago
This administration has made it clear in no uncertain words or actions. They don’t want immigrants. And if you think this is bad policy, please stop voting for them. Please vote for the alternative candidates. This is the easiest way to fix
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by
mehulashah
5mo ago
I just want to state for the record that this will fail harder than Google Plus.
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by
mehulashah
6mo ago
This is cool.
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by
mehulashah
7mo ago
This is a great article and I share its goals. But, it ignores something fundamental about humans as a collective — capitalism. Capitalism is what got us here and is at odds with first understanding and then building. We’ve done this before
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by
mehulashah
7mo ago
This is sick.
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by
mehulashah
8mo ago
So, I’m left wondering why he did it the hard way.
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by
mehulashah
9mo ago
I learned the first time I got slashdotted: 1. Don’t engage in public with an antagonistic or upset user or reviewer. 2. The thread will unroll itself, and the immaterial ones will die out on their own.
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by
mehulashah
9mo ago
I spent 9 months at IBM in 1999. At that time, Lou’s legacy had already been solidified. He saved IBM. While not everyone agreed with his decisions, there was a culture of both honesty to customers and innovation that permeated the company.
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Agentic Property Extraction: Simple yet Powerful
(aryn.ai)
4 points
by
mehulashah
10mo ago
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0 comments
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by
mehulashah
11mo ago
He right. I’ve seen poverty in India, but I misunderstood it. There was a 12 year old kid who guided our boat down the Narmada after we spread my Dads ashes. He was not in school because he wanted money. I told him I’d pay him double and co
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by
mehulashah
11mo ago
Certainly research has made it into product with the help of the innovators that created the research. The dial is turned further here where the research ideas have yet to be tried and vetted. The research begins in the startup. Even in the
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by
mehulashah
11mo ago
Most of the folks on this topic are focused on Meta and Yann’s departure. But, I’m seeing something different. This is the weirdest technology market that I’ve seen. Researchers are getting rewarded with VC money to try what remains a scien
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by
mehulashah
11mo ago
This site is a stroll down memory lane for me. I had one of the calculator watches as a kid. Used it everywhere, especially when shopping or going out to eat with parents. It was cool to cross check totals and check tax calculations. I was
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by
mehulashah
1y ago
This smacks so much of a Silicon Valley episode. “Pre-idea individuals” … Sounds like they want people with no opinions. Next we will say stuff like “No thought personas”
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by
mehulashah
1y ago
I like this post. I see this confusion all the time! What’s the difference between ChatGPT and gpt-5 or gpt-4o, and so on. OpenAI’s carefully crafted naming schemes don’t help. Though, I come from AWS so glass houses. Anyway, agents are con
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by
mehulashah
1y ago
Oh dear. Should I comment on this?
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by
mehulashah
1y ago
I’m surprised by the argument. It’s not wrong. You need more data, but that presumes that the task is to pre-train on data. Additional compute is also useful for unearthing tacit capabilities in the models. This requires inference time scal
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by
mehulashah
1y ago
I took 6.034 from Winston and still have the lecture notes and book. Though dated, they remind me of what was great about MIT. The constant change, upheaval, search for scientific truth, and desire to help humankind. RIP Patrick Winston.
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by
mehulashah
1y ago
Trust me. I’m usually the last to jump on a bandwagon. That said, this is not just my take, but the take of many others that I trust. Andrej Karpathy, Joseph Hellerstein, etc.
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by
mehulashah
1y ago
Agree. The non-determinism is a problem. Perhaps systems thinking can help here. After all, traditional computer systems often behave non-deterministically and we’ve learned to make them more reliable.
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by
mehulashah
1y ago
I shared your opinion for a while. But, that’s not what’s happening. People are using them for everything. When they do, expectations are set. Vendors will adjust and so will the rest of the industry. It’s happening.
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by
mehulashah
1y ago
I do believe it’s time for systems folks to take a hard look at building systems abstractions on top of LLMs as they did 50 years ago on top of CPUs. LLMs are the new universal computing machines, but we build with them like we built comput
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mehulashah
1y ago
100%. There’s no point in nitpicking on this post. There’s an outsized return on exercise and it’s measurable. People don’t get — especially young people — that exercise is like eating, sleeping, and pooping. Your body needs it in regular i
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