Aditya Murali (@AdityaM010) header
Aditya Murali (@AdityaM010) profile picture

Driving business growth with AI | Chief AI Officer & Advisor @ MechanizedAI | ex-AI Principal @Apple | Georgia Tech, Stanford, MIT

Joined May 2013
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We will soon (are) see a MASSIVE acceleration in AI startups created. If you are leveraging an AI product, ensure the CTO or CDO has actually built and managed AI in production for large companies. Anything else will cause silent failures that will be eaten by the customer.
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Replying to @perplexity_ai
@perplexity_ai yo, cascade has been crap recently - failed tool calls - stopping a chat results in cascade being unusable for hours
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🤖💼 Ever wondered how to leverage #AI for your business? In this era of digital transformation, AI isn't a luxury but a necessity to stay competitive. Tag a business that needs to see this! #AIinBusiness #DigitalTransformation
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🌐 In this rapidly evolving digital landscape, businesses that fail to adapt risk being left behind. AI offers a way to stay ahead of the curve, providing insights and capabilities that were unimaginable just a few years ago. #BusinessIntelligence
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Check out @karpathy's "State of GPT" - it's 40 mins well-spent! It packs in some serious knowledge: 🧵
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- Pitting human brain vs. Language Learning Models (LLM) - The secret sauce of prompting and why it's key to ask a model to "specialize in Y"
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Replying to @elonmusk
@elonmusk notifications are a cluster f, if someone is writing a thread, can notifications just notify for the intro to the thread.
Only high leverage work
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🏅gold content as always from Ayman
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lol y’all think about elon wayyyy to much. Get your bag instead.
Replying to @BinanceUS
@BinanceUS sms auth never works…
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Completely agree. $APPL will likely not pull its head out of its ass though, nor will a partnership btwn apple and a OEM work out.
If you think $TSLA will idly sit by while $AAPL flirts with creating an electric car you are sorely mistaken. I believe Tesla will counter with a cell phone equivalent. 🥈
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Okay Oliver. Would love for you to provide the opportunity for the public to try your autonomous driving product at scale. Until that’s feasible, don’t really see any weight to your argument.
I don’t know about you, but any autonomous driving product that makes moving from A to B more stressful than just driving yourself is not a very good product.
One does not simply efficiently allocate resources 😂
What if the government could simply efficiently allocate resources instead
$ETH, $BTC on to break ATH in a bit. We’ll see altcoins continue to rally through and after. Some favorites include, ADA (closed pos), LINK, NANO.
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Cycles of #Crypto are great. Is another 2x now after the original 4x on ETH, and original 6x on doge. Great alt when $TSLA is being a bit boring post S&P rally.
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When you’re ⚽️ deep in $DOGE but it moves like a turtle
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Thankfully $ETH is a volatile beauty.
Sadly, this is happening way later than it should have :/
AWS CloudFormation introduces the option to troubleshoot provisioning errors before rollback, accelerating deployments AWS CloudFormation users can now choose to preserve the state of successfully deployed resources in the event of CloudFormation s... aws.amazon.com/about-aws/wha…
Did a quick est of expected value for taking a startup job 25% likelihood of successful IPO, 75x return on IPO, and ~180k salary (Very ambitious stats on avg), This can easily be beaten with a C2C or w2 job at most IT jobs, at FAANG role, If you have > 3 YOEs
New cool tech startup: Valued at $10 billion, loses $300 million per year My dumb SaaS: Built for $50k, cash flows $1 million+ per year
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Of course this is focused only on the monetary aspect. There are other pros/cons.
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Agreed, Cash flowing agencies, done well, can do a lot to make you pretty financially secure as well.
My recommended path of entrepreneurship... 1st company - start a cash flowing agency to pay bills 2nd company - build a sellable asset to make you financially secure like a profitable SaaS 3rd company - swing for the fences and disrupt a market like Microsoft or @microacquire
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Lol always a terrible statement when assertions like this are made. Past returns do not guarantee future returns 😂 #data
Value of $1,000 invested 10 years ago: Bitcoin: $4,947,842 Tesla: $153,286 Netflix: $17,932 Amazon: $17,213 Microsoft: $12,242 Apple: $11,137 Google: $10,770
Solutions like $SNOW have always been funny to me. Pay extra for a slight reduction in apparent complexity that’s truly just hidden away and ends up requiring companies pay their consultants to dig out of the hole. Save yourself the pain and just use the cloud services
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Not a great technical, risk management, or cost optimization decision. Really just highlights a lack of focus, resources, and knowledge in the data space.
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Good highlight on ML that should be obvious but often isn’t. Experiment with a hypothesis driven approach
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