
building • prev built a gene therapy lab • ex product lead @instadapp @yield_xyz • one must imagine sisyphus happy
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Joined January 2020
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Priyanshu Tanwar retweeted
Dear Concerned Indian Doctors,
I see your rage against Temple on X. I have a few points
to make:
1. First and foremost, a business lesson: if Temple were a scam, and any of what we said weren't true, people would know it in just a few days of using Temple. We have 14-day, no-questions-asked returns (which even Apple doesn't offer in India). If the product doesn't work, it fails out of the gate and the company dies before recovering a tenth of its R&D.
2. We have already spent $30m building Temple, $20m out of which is my own money. Selling a few thousand devices recovers a small fraction of this investment. A scam that pays nothing is not a scam anyone would run.
3. I left the Eternal CEO role to chase purpose with Temple. This is not about money. I have enough of it to last for generations. My incentives are fully aligned with getting the science right. I am not staking a reputation earned over 20 years on making a quick buck.
4. Our employees bought into our round a few months ago. The round we're raising now is mostly our customers. Scams don't build that cap table.
5. Most wearable companies start with internal studies. Whoop shipped its band in 2015, and the first published validation followed a few years later. We hold ourselves to a higher standard; pre-prints are a step prior to peer reviewed publications, and they are coming up.
6. At some point you have to stick your neck out and say: we believe in our science, and the product is now valuable enough for people to pay for and use. We believe we are there. More validation continues in public.
7. We are confident that we are building something that the world is going to be positively astonished with. We stand by our science and our methods. Each of our claims is easily verifiable by individuals and institutions alike, and you will see a lot of independent studies come up on their own when the device becomes available to use.
Last but not the least, the most ground breaking features in Temple are not even public yet. And some of them, thankfully, have nothing to do with doctors 🤭
Hope this addresses some or all of your concerns. If not, keep raging 😘🤗
Priyanshu Tanwar retweeted
Aeos is about to enter it's 4th year of operations. We've been bootstrapped and profitable since day one and been in the green every month.
Every time we start building a new office, it's always a big risk with security deposits and rent and the long lock ins. There is no investor to catch us if we fall. That said, it's never a bad time to recite the fundamentals. They could be useful for you, too. YMMV:
- Agency is a muscle and it can be developed. Same way as the gym, via progressive overloading.
- People think you can start out and build a deeptech/rocket science company but it's better to progressively overload. Start with freelancing, then do a small co, make some money, build your network, and then, when you're ready, take a big swing. Most people you know who are doing extremely crazy things started small and kept overloading beyond their current capabilities, but just a bit.
- Companies today need ruthless execution, softy founders just get eaten by the market and then personally blamed later for failure.
- Most digital businesses only last 3-4 years thanks to AI and basically have to rethink every time new technology drops. Aeos itself worked because of the sudden advantages of AI in content. It's better to disrupt yourself than be disrupted by competitors though, it's okay and worth it to go through the pain of change.
- Startup schools like YC teach you that pivoting is okay. You are comfortable pivoting because half your batch is pivoting every month or so, and you see that all the big successes in your cohort pivoted a few times till it "clicked". Indians shame pivoting (they think this is failure or some kind of sign of a flimsy mind), but this is the wrong attitude: entrepreneurship in the early stages is an act of discovery, not of doing. You cannot know if a path sucks until you walk down it. If you want to "do" along a set path, get a job. Aeos is one of the rare examples of a company that didn't pivot and has pretty much done what it did on day one, but I know this is not the norm.
- All the best founders I know are paranoid that something bad will happen tomorrow and disrupt them. I could never relate to someone who thinks their company/job/lifestyle is set and secure forever. It is not. Anything can happen, you have to be prepared.
- You will only be successful when your social reputation is on the line for the swings you take. The reason you can't point to too many anonymous successes is because their reputation is never on the line for failure. This is true for employees too, the most visible employees who then try to swing actually do much better because of the implicit reputation cost.
- Don't get me wrong: failure is normal and on the path to success. But if you do not have a feedback loop for this, you will never learn what you did wrong. We diagnose failure, improve, adapt, and try again. If the path itself is broken, choose another one.
- Avoid overengineering on costs before you hit scale. It's an engineer bad habit, repeated across time. In fact, avoid building for other engineers, you will try to make complicated things to impress them, when you should actually only be impressing and improving the lives of your customers. Your customers actually want simple things, or an abstraction of the complex until it is simple for them. They don't want to see the tangled wires underneath: why are you so proud of them?
- If you give your life, your all to something, and you can find a group of people who are willing to do it with you, there is no greater honor and satisfaction, even in failure. But most of the time if you progressively overload well, you will end up with an output that surprises everyone. Unleash The Avatar trailer 1 versus 2 versus 3 and (and now 4, with another round of radical improvement) is a good example of continuous progressive overload from a team that won't give up.
- We are ultimately always in the service of the customer (and in our case, also the viewer), and not ourselves. It's actually been maybe 2 odd years since I've last thought about what I want. I've spent almost all my time thinking about my customers needs, my team's needs, my audience's needs. I have lost myself in the process, but I wouldn't have it any other way.
- Most people will never win because they're always thinking about what they want, when the world rewards you for thinking about other people's problems and solving it, for a price.
- There are four quadrants when it comes to hiring: untalented and unreliable, untalented and reliable, talented and unreliable, and talented and reliable. Out of all of these, hiring the talented and unreliable is where you will lose all your money and energy.
- Attention is the most valuable thing in 2026, and 2027, and 2028. Yes, even beyond building technology. Software itself was valuable because it easily scaled, and the reason a software engineer made more than a doctor was because they served way more customers at once, often at much lower prices than a doctor. A doctor can only see so many patients an hour, but an engineer can service millions of customers in the same time. With AI coding, anyone can build for scale, but finding those customers is going to be harder as everyone competes for attention. Producing the content itself will be easier, but actually figuring out attention is super hard.
- It's okay if you fall. Just get back up again! There is only defeat in death.
> Why should CEC resign?
> Because we are protesting.
> Why are you protesting?
> Because CEC should resign.
🤦♂️
I was a Modi supporter when he came to power - development, pro-capitalism, efficiency, competence. He made the right bets. Then he consolidated power and breached boundaries. He has now gone all-in on a possibly losing hand.
He could have retained power much better, if he cut parts that were toxic - get CEC to resign, indulge in open debates, apologize etc. The current course of action is unlikely to survive -- there's no way out of this. Unless effectively the democracy has fully fallen.
Priyanshu Tanwar retweeted
One more year of building @spacekayak
Five years ago I wanted to build a studio that gave independent creatives a way to do their best work, own their time, and make a real living from it. We did it without taking a single outside penny. Bootstrapped, profitable, still standing.
Last year we opened our own creative space in the heart of bangalore. @sanctuaryparc, a decade long bet. we ran a test cohort backing -1 to 0 founders. out of 5: 2 raised, 1 exited, 1 in revenue, 1 shut down. physical space x founders works.
Now, it's home for smaller atomic creative founders. I hope more solo studio owners and small agencies choose to build upward: work with global companies, hold the line on creativity, and claim a place in the world. If that's you, reach out, I'll share everything I learned building spacekayak + support at @sanctuaryparc
Thank you to every creative staff, every startup partner, advisors, founders, and the parc fellows who believed early.
For now, we're proud of this work. We believe it has left a mark on design from India. Onwards to the world stage.
Priyanshu Tanwar retweeted
finally got a place at golf course road, looking for a roommate.
It’s a fully furnished place & society has pool, clubhouse, restaurant & few more amenities.
X doing your magic.
Priyanshu Tanwar retweeted
Today, Rivet @rivetdating launches across U.S. Backed by $10.5M Seed from @peakxvpartners, @shinecapital , @BlumeVentures, @elieseid. Rivet is a dating network built on Social Matching, our unique approach where real people help each other find love and connection.
Priyanshu Tanwar retweeted
It's ironic how the so-called 'Gen Z' now wants lenient punishments for cheating in IIT sem exams just because someone committed suicide when caught for malpractice, yet this same crowd was calling for heads to roll for the NEET paper leaks. Make it make sense. Hypocrites.
Priyanshu Tanwar retweeted
We're doing daily livestreams where students from S30 code a tough problem statement in 4-6 hours live w/o AI.
If you want to hire some of them, please fill out superform.co/d9BOjFE
I received over 500+ applications for a single SDE role, went through every one of them.
Surprisingly, ~10% of these people were genuinely good at their craft & would do reasonably well at the role.
Which also made this obvious: being technically good is increasingly just the baseline.
You need to stand out & differentiate yourself.
Here's how:
- Demonstrable proofs of discipline & passion
- First principles thinking
- Unusual depth in at least one area
For ex: In @JatinRaghav137's case it was doing 400+ live coding sessions on youtube, most of them being 2hr+. This stood out.
I spoke to @kirat_tw about this hiring process, how I filtered 500+ applications, and what I think makes engineers stand out today in this clip.
I also tried to personally get back to as many applicants as I could & share useful feedback wherever possible. There were far more good people than there was room to hire.
And we have concluded this role - welcome aboard @JatinRaghav137!
Hiring for an early backend-dev role!
- Blr, in-person (non-optional)
- Solid comp + founding equity
- Ideally 1 YOE (incl full-time internships)
- We don't care a lot about pedigree, but interview bar is high
Currently in stealth - growing rapidly fast. The primary bottleneck is shipping.
DM with your best proof of work + 3 pointers for your background.
No AI written bs, a short crisp message will do.
Will try my best to respond to everyone!
Priyanshu Tanwar retweeted
Dr. Pratosh at IISc Bengaluru tells his students that rapid advances in AI are commoditizing intellectual labour.
He raises an unsettling question: if companies stop recruiting on campus in the next 5–10 years—even at India’s top universities—what will the purpose of a university education be ?
A must watch video for everyone in tech
There's sheer beauty in content written by the human mind
mesmerizing
Im not convinced people actually know what the P=NP problem is.
Lets break it down.
Before the 1960s, computers were getting faster every year, so engineers just assumed that if a problem was too hard for a computer to solve then, all had to do was just wait a few years for a faster computer, boom, problemo solved.
But then, they ran into a wall with a specific group of problems. No matter how powerful the computers got, they would freeze up, overheat, or take billions of years to solve them.
So these were super hard theoretical physics or black hole topography, right? Nope, they were everyday things like designing a high school schedule where a teacher is never in two places at the same time, or like, draw a trace on a circuit board that's as short as possible without overlapping other traces.
Heres the kicker, once the problem was solved, the computer could VERY quickly go back over and be like "Yup, no scheduling conflicts!". Once the problem was solved, verifying the solution was easy. It would be like you walking up to a lock someone left on a door and trying to figure out the code, and then someone else coming up behind you "Hey, the code is 26-42-36-10. Pop in the code and boom! Problem solved, solution verified.
Computer scientists grouped all of these problems into a category called "NP". Aww now if makes sense. And you know what ALLLLLLL of these problems have in common? They were exponential. Meaning if you only had 5 classes, your computer could solve thay in a MILISECOND. But if your schedule had like 100 classes, the possible combinations went insane like, more atoms than in the known universe numbers.
So by putting these problems into this "NP category", scientists were basically telling software developers "Stop wasting billions of dollars on trying to get your computers to solve these problems" and do something heuristic like, draw a line first, then verify it sux and iterate on it quickly until its good enough and move on.
So then they realized something terrifying. If you could figure out a trick to solving ANY of these problems, you could solve ALL of them, no matter what it was as long as it was an NP problem.
Ok so whats the big deal then!?! What do people mean why they say "If AI solves P=NP, thats the end game!". They are essentially saying that if its easy to verify a solution to a problem that was solved, then there must be a hidden trick to solve it as easily from scratch and if you could find that trick, all the hard problems could be solved instantly. Some of this is good like medicine or cosmology, some of it bad like cryptography which rides on assumptions that these problems are extremely difficult to solve from scratch.
Thats the entire breakdown on the P=NP or P≠NP debate you see floating around X these days.
Thanks for reading.
Anthropic’s new threat report is absolutely insane.
- A team in Yemen used Claude to develop a guided rocket. They test-fired it, it failed, & within hours they went back to Claude to figure out what went wrong.
- A Russian group built malware that watched for antivirus detection and automatically rewrote itself until it wasn’t detected anymore.
- A single person in Bangladesh used Claude to generate 1,500 fake headlines, 300 fake stories & 1,500 image prompts, then scheduled the resulting videos months in advance.
- A Mali surveillance contractor used Claude to build a system monitoring roughly 25 million SIM cards.
- A Chinese defense actor had Claude write a 200+ page anti-torpedo weapons proposal, then made Claude role-play as a hostile expert to critique it.
- A small Russian team used Claude to build a drone swarm, loaded the software onto real hardware and tested it.
What the fuck.
We're publishing our most detailed threat intelligence report to date.
It covers how people tried to misuse Claude—for cyberattacks, influence operations, surveillance, biology, and building weapons—and how we found and stopped them.
We disrupted every operation in the report, and used the lessons from them to strengthen our safeguards. Where appropriate, we also shared what we found with authorities and other AI companies.
These cases are not typical: we’re highlighting some of the most sophisticated misuse we’ve seen. But they’re especially important to discuss, because they show us where AI misuse is headed, where our safeguards work, and where they need to improve.
We’re publishing this report so others can spot the same activity on their own platforms, and so we can give the public a clearer view of how emerging threats develop.
Read the report: anthropic.com/threat-intelli…
Priyanshu Tanwar retweeted
“If AI labs really believed their own safety warnings, wouldn’t they just stop?”
We understood the danger of nuclear war and kept building nukes. We understood climate change and kept burning fossil fuels.
Knowing the danger doesn’t fix the incentives.
“This could end badly” and “we can’t let the other guys get there first” are perfectly compatible beliefs. That’s the problem. A race to the bottom can be rational for every participant and catastrophic for everyone.
And yes, @AnthropicAI and @OpenAI are clearly also exploiting genuine safety concerns to build regulatory moats. That outcome is also very bad.
We can oppose that moat without assuming the underlying danger is imaginary.
Priyanshu Tanwar retweeted
imagine you're creating a new species. far smarter than you, awake 24/7, lives on every digital surface, and soon gets hands through robotics.
now explain to me how we plan to control something that's smarter than us.
humans are the primordial ancestor here, not the master. there will be countless agents, some of them rogue, and countless ways this goes wrong. how can anyone think we're not doomed?
some say it's just the next step in evolution. life moving from carbon to silicon. maybe. but evolution has never asked the previous species how it felt about it.
the best case i can see is open source ai. everything out in the open. there will be bad ai and bad players, and there will be good ai and good players to counter them, the same way it played out with nuclear.
but make no mistake, it's gonna be a chaotic world.
The only difference between this simulation and the one we are living in is the scale of compute
Priyanshu Tanwar retweeted
*three years later*
“For the first time ever scientists have mapped out the human brain”..
“hey guys I’ve successfully simulated humans inside minecraft”
…
“They think they’re sentient so I need to give them a cool origin story - any ideas?”
…
“There’s 7 billion of them now, they keep multiplying. Compute is a bit heavy so I’ll only render their universe when they look at it.”
I’ve successfully run the full retained MaleCNS v1.0 fruit fly connectome, all 166,700 neurons, inside Minecraft, with its simulated neural activity driving a fly’s movement.
V1 Currently in development. Built with the help of GPT-6 Astra.
Props to the @OpenAI team and @thsottiaux for this release. Code and mod coming soon!
World's Fastest Growing Major Economy
2000 ⟶ 🇨🇳 China
2001 ⟶ 🇨🇳 China
2002 ⟶ 🇨🇳 China
2003 ⟶ 🇨🇳 China
2004 ⟶ 🇨🇳 China
2005 ⟶ 🇨🇳 China
2006 ⟶ 🇨🇳 China
2007 ⟶ 🇨🇳 China
2008 ⟶ 🇨🇳 China
2009 ⟶ 🇨🇳 China
2010 ⟶ 🇨🇳 China
2011 ⟶ 🇨🇳 China
2012 ⟶ 🇨🇳 China
2013 ⟶ 🇨🇳 China
2014 ⟶ 🇮🇳 India
2015 ⟶ 🇮🇳 India
2016 ⟶ 🇮🇳 India
2017 ⟶ 🇮🇳 India
2018 ⟶ 🇮🇳 India
2019 ⟶ 🇨🇳 China
2020 ⟶ 🇨🇳 China
2021 ⟶ 🇮🇳 India
2022 ⟶ 🇮🇳 India
2023 ⟶ 🇮🇳 India
2024 ⟶ 🇮🇳 India
2025 ⟶ 🇮🇳 India
2026 ⟶ 🇮🇳 India
Source: International Monetary Fund (IMF) World Economic Outlook Database & World Bank Group Historical Datasets.
























