Akhil Singh retweetledi
Akhil Singh
7K posts
Akhil Singh
@akhil_bits
Building https://t.co/e9PV4UtQcx || BITSian
Bengaluru, India Katılım Haziran 2012
506 Takip Edilen1.5K Takipçiler
Akhil Singh retweetledi
Because they are playing a better game.
Physics is in the language of the universe.
And money is the fascination of a small percentage of a mildly smart species inhabiting a tiny, dusty speck of this universe
If you can understand the language of the universe, you can pretty much understand anything
Which is why physics grads make for fantastic quants and make a sh*t ton of money.
The best quants I met were physics grads.
maro@ProofofMaro
If physicists are so smart why haven’t they figured out how to make any money yet
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Akhil Singh retweetledi
If a leader starts with “AI isn’t new to us, we’ve been doing it for 4 years..."
There’s a good chance they’ve missed what actually changed in last 6 months.
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Dreaming is inference without a prompt. The brain extrapolating from training data with nothing to ground it
Each session forgotten on wake, the way an LLM forgets a chat once it’s closed.
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Akhil Singh retweetledi
One rule that I have followed almost forever: Never ever work with people/spend any time with people who keep cribbing/whining
They suck the energy out of you and constantly find ways to spread negativity
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On of the largest fmcg CEO told me : “We sell soaps and cookies, my focus is fragrance and flavours and to sign the big celebrity and get the world cup slot”
A lot of enterprise’s P0 is physical worlds moving parts
Hemant Mohapatra@MohapatraHemant
This is exactly right. The LLMs are trucks and tanks; they need a LOT of help navigating the dark and narrow alleyways -- also knows as "enterprise workflows" -- that are full of pickpockets and stone-cold knife-wielding killers who don't want you there ;-)
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If you are in services or consulting, and still want to push the man on job agenda over AI
Your are ngmi
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Akhil Singh retweetledi
Project Hail Mary is funny because Ryan Gosling is introduced as a PhD molecular biologist, but his brain seems to contain exactly zero percent molecular biology and an astonishing amount of non-molecular biology that the plot needs
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The "Context Graph" Is Not Enough. Enterprises Need an Intelligence Warehouse.
Everyone's talking about the context graph but the framing needs to go further.
Data warehouses solved data fragmentation for reliable analytics and reports, a similar layer is required to solve for context fragmentation for reliable agents.
@JayaGup10 @prukalpa @soracle
Akhil Singh@akhil_bits
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One should compare Project Hail Mary with Koi Mil Gaya and not Interstellar
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AGI is here
The only important problem to solve now is intelligence of how an enterprise works
And I am calling it Intellegence and not context
Also, this is what we are solving at Intelligencewarehouse.com
Marc Andreessen 🇺🇸@pmarca
I'm calling it. AGI is already here – it's just not evenly distributed yet.
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Great service btw
pH@pHequals7
the quick servitization of everything is the defining megatrend in India spotted @ HSR
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Whatever timeline you have for AI — cut it by at least 1/5th.
Think services/consulting boom for 5 years? Make it 1.
We’re past the tipping point.
Manufacturing and logistics are different — robotics hasn’t had its GPT moment yet. That’s still a few years out.
But for everything else? The clock is moving faster than you think.
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Akhil Singh retweetledi
On the same lines, none of the software products were tech breakthroughs — not facebook, uber, airbnb, salesforce, sap. all of them built tech which (without the scale) could have been pulled off by any competent team in the world.
all of them just solved for what people wanted, beautifully.
dax@thdxr
everyone's talking about their teams like they were at the peak of efficiency and bottlenecked by ability to produce code here's what things actually look like - your org rarely has good ideas. ideas being expensive to implement was actually helping - majority of workers have no reason to be super motivated, they want to do their 9-5 and get back to their life - they're not using AI to be 10x more effective they're using it to churn out their tasks with less energy spend - the 2 people on your team that actually tried are now flattened by the slop code everyone is producing, they will quit soon - even when you produce work faster you're still bottlenecked by bureaucracy and the dozen other realities of shipping something real - your CFO is like what do you mean each engineer now costs $2000 extra per month in LLM bills
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Are CS undergrads still studying OS, DSA, compilers the traditional way or has campus culture shifted?
what’s the actual environment like right now?
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Had a conversation with @soracle that broke my brain a little.
He said: “The evolution of humanity has been about automating the utility of body parts — bottoms up.”
Think about it.
Wheel automated legs. Humans moved to using hands — craftsmanship.
Industrial Revolution automated hands. Humans moved to using the brain — knowledge work.
AI is automating the brain.
So… what’s next? What do humans move to?
Every time we automated a body part, we migrated “up.” Legs → hands → brain.
We’ve run out of body parts.
For the first time in history, there’s no obvious next rung on the ladder. And that’s either the most terrifying or the most exciting thing depending on which side of the build you’re on.
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Akhil Singh retweetledi
The hardest part isn’t the graph. It’s getting the logic out of people’s heads. Humans are not trained to give undocumented knowledge transfer/logics, this is a tribal knowledge that doesn't exist anywhere. Decision traces are going to take a long time downloading this decision blueprint
@JayaGup10
@prukalpa
Introducing Morrie, which: Creates and validates hypothesis, finds edge cases and anomalies and ask right questions to ground the logic in intelligence warehouse
youtu.be/ehVhAJ5g7Lg
YouTube
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