Krunal Chavda

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Krunal Chavda

Krunal Chavda

@Krunalc16

Applied AI Researcher l building data mines and refineries | running on @OpenClaw and claude code

Saskatoon, Saskatchewan Katılım Ağustos 2020
561 Takip Edilen63 Takipçiler
Krunal Chavda
Krunal Chavda@Krunalc16·
નિશાન ચૂક માફ, નહિ માફ નીચું નિશાન
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Krunal Chavda retweetledi
Daniel Hnyk
Daniel Hnyk@hnykda·
LiteLLM HAS BEEN COMPROMISED, DO NOT UPDATE. We just discovered that LiteLLM pypi release 1.82.8. It has been compromised, it contains litellm_init.pth with base64 encoded instructions to send all the credentials it can find to remote server + self-replicate. link below
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Codie Sanchez
Codie Sanchez@Codie_Sanchez·
Best money I've ever spent as a CEO... an internal AI transformation hire. He doesn't care about title. He just wants to ship. And he goes across your entire org, sales, revenue, hr, apps, tech and kills stupid manual processes. Such an underrated unlock I have since hired 2 more.
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NVIDIA AI Developer
NVIDIA AI Developer@NVIDIAAIDev·
Ready to deploy AI agents? NVIDIA NemoClaw simplifies running @openclaw always-on assistants with a single command. 🦞 Deploy claws more safely ✨ Run any coding agent 🌍 Deploy anywhere Try now with a free NVIDIA Brev Launchable 🔗 nvidia.com/nemoclaw
NVIDIA AI Developer tweet media
NVIDIA Newsroom@nvidianewsroom

#NVIDIAGTC news: NVIDIA announces NemoClaw for the OpenClaw agent platform. NVIDIA NemoClaw installs NVIDIA Nemotron models and the NVIDIA OpenShell runtime in a single command, adding privacy and security controls to run secure, always-on AI assistants. nvda.ws/47xOPqQ

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Krunal Chavda
Krunal Chavda@Krunalc16·
@GoogleCloudTech its so hard to get T4 GPUs here! I wanted to use some gpus for inference for my personal project!
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Krunal Chavda
Krunal Chavda@Krunalc16·
@Jason its scarily good. I set it up with just one click on my telegram and it just started doing things for me, they have a generous free version that I am using but the paid version is insanely good too. The biggest thing in this is there is no infra setup needed.
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Krunal Chavda
Krunal Chavda@Krunalc16·
@reuvengorsht I am very interested in what kind of salary data you used to come up with the $600B+ number. And what kind of data analysis techniques you used to extract this number coz 47% is just abdominal.
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Reuven Gorsht
Reuven Gorsht@reuvengorsht·
I scored 516 occupations for AI exposure. Then I extracted the themes behind the scores to find out what actually protects a job, and what makes it vulnerable. The humans who are safest aren't the ones who know the most. They're the ones who show up, build trust in person, and exercise judgment AI can't replicate. Turns out the moat isn't what you know. It's where you are and who trusts you.
Reuven Gorsht tweet media
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Krunal Chavda
Krunal Chavda@Krunalc16·
@HarveenChadha I would love to chat with you about this and hope we can share some mutual knowledge.
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Krunal Chavda
Krunal Chavda@Krunalc16·
@HarveenChadha Hey Harveen, i am working in this domain too. I think generation is easy but validating it is the hardest part. Specially with devnagri script languages where we dont have enough data. I am just working on text data generations right now for pharmatech/ healthtech companies.
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Krunal Chavda
Krunal Chavda@Krunalc16·
@soumitrashukla9 True but he has the same results that Antropic got in their labour market report. But atleast this conversationshould get more in depth research started. I built something similar for Canada and explained data analysis clearly in my methadology section. krunal16-c.github.io/jobs
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Krunal Chavda
Krunal Chavda@Krunalc16·
@rahim_mirani krunal16-c.github.io/jobs - this is for Canada with few more features. Avg is around 3.8 - same observations as his. most of the job market is in skilled trades. If the end output of your work is a file then good luck! you are definetly cooked.
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Abdul Rahim Mirani
Abdul Rahim Mirani@rahim_mirani·
Andrej Karpathy just ran BLS data through Gemini Flash. 342 occupations, 143M jobs. Software devs? 8-9/10 exposure. Very high. We're the ones getting hit hardest, digital work is prime for AI takeover Average across everything: ~5/10. But high-pay tech jobs skew way higher Link: karpathy.ai/jobs Repo: github.com/karpathy/jobs Not cooked if you adapt fast. Stop grinding boilerplate. Become the one who directs agents, designs systems, verifies outputs, owns the hard problems AI still fumbles. The gap between 1x and 10x is widening right now. Use the tools or get left behind.
Abdul Rahim Mirani tweet media
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kapilansh
kapilansh@kapilansh_twt·
Andrej Karpathy says roofers and janitors are safest from AI so the career advice in 2026 is: → don't get a CS degree ($100k debt) → don't grind leetcode (6 months wasted) → don't join FAANG (they'll lay you off) → just fix roofs the most expensive education leads to the most replaceable job we do not talk about this enough
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Sharbel
Sharbel@sharbel·
Here’s how likely your job is to be replaced by AI: (data from karpathy.ai/jobs, scored 1-10) plumber: 1/10 carpenter: 2/10 firefighter: 1/10 nurse: 2/10 surgeon: 2/10 personal trainer: 2/10 chef: 2/10 teacher: 5/10 software developer: 5/10 real estate agent: 5/10 marketing manager: 5/10 accountant: 7/10 lawyer: 7/10 financial analyst: 7/10 HR specialist: 7/10 customer service rep: 9/10 cashier: 9/10 receptionist: 9/10 bookkeeper: 9/10 data entry clerk: 10/10 the pattern: if your job is mostly "take info in, process it, give info out" you're cooked. 💀 if your job requires being physically present or earning human trust in person, you're fine. source: karpathy.ai/jobs
Sharbel tweet media
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Krunal Chavda
Krunal Chavda@Krunalc16·
@Polymarket krunal16-c.github.io/jobs/ - this is the tool for AI exposure for canadian jobs which I built (thanks to Andrej for motivation) - it has some more features and explains the methadology clearly for data analysis.
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Lordy ONX 🍀
Lordy ONX 🍀@lordyonx·
@Polymarket This app rates every profession in the U.S. based on the likelihood that it will be replaced by artificial intelligence. The safest professions: janitors and roofers.
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