Co-founder/CEO @cedanacorp. Previously: Engooden , @MIT_CSAIL, TL Ventures

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RT @nntaleb: Another way the current administration is trapped in the ZERO-SUM FALLACY: The H-1B visa situation. + You are NOT taking a job…
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Neel Master retweeted
No, a Yandex cloud malfunction did not take down disinformation/troll bots. It's a dangerous misconception. This is not how it works, not even technically. After Ukrainian drones hit Yandex data centers, a viral chart showed Russian "bot traffic" collapsing. But those bots are mostly Yandex's own search crawlers, not the info-ops social media accounts. Troll farms hide behind proxies, hijacked devices and Western clouds. They're still operating. Hired influencers are also still around. The "bots went silent" story is misinformation. Believing it is plainly dangerous. It tells people the threat is gone while influence operations keep going. Ahead of elections that complacency is what they may count on.
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There are a lot of posts about companies serving billions or trillions of tokens. I work on GPU infra every day and still find it hard to build an intuitive sense scale. So I vibe-coded a quick token calculator. Enter a token volume and pick a model. It tells you how many equivalent GPUs it takes to serve it. You can set the GPU type, model and workload. It outputs # of GPUs with a range. Try it out: cedana.com/resources/tokens-…
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Neel Master retweeted
Excited to share our latest work with Cedana: serving a portfolio of frontier coding models on a B200 node. TLDR: @nvidia Dynamo handles inference, NeMo Switchyard intelligently routes & escalates across models, while Cedana enables stateful model switching in ~1 min! (1/2)
More enterprises are running a portfolio of models. Easy tasks go to smaller, cheaper models, while frontier models take the hard tail. Hosting that portfolio is a GPU utilization problem. The models don't fit on a single node together, and 9-34 min cold starts make switching between them impractical. Excited to show our work with NVIDIA's Dynamo team. We show how to serve a portfolio of frontier coding models on a single 8x B200 node, switching models in ~1 minute with in-flight sessions intact. cedana.com/blog/coding-model…
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More enterprises are running a portfolio of models. Easy tasks go to smaller, cheaper models, while frontier models take the hard tail. Hosting that portfolio is a GPU utilization problem. The models don't fit on a single node together, and 9-34 min cold starts make switching between them impractical. Excited to show our work with NVIDIA's Dynamo team. We show how to serve a portfolio of frontier coding models on a single 8x B200 node, switching models in ~1 minute with in-flight sessions intact. cedana.com/blog/coding-model…
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Read about the work Cedana and Nvidia have done to improve the performance and speed of allocating agentic tasks across GPUs.
As the Pareto frontier of model cost vs. capability creeps up, every sophisticated token consumer is going to be multi-model. @cedanacorp dramatically improves the performance of sharing compute infra for a model portfolio. cedana.com/blog/coding-model…
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One of the downsides to wellness influencers is that they promote research that isn't their own, and do so faster than people can understand the papers. The research in this case 5 cups of coffee improving health is misleading. The way the research was set up set up you can't tell if it is coffee that improved biomarkers. Its cross sectional, and confounded by sex/gender in a highly skewed way, cup size and caffeine amounts are undefined. The effects are small and clinical relevance is unproven. nitter.siddz.com/foundmyfitness/status/…
People who drank more coffee had less body fat, less visceral fat, and more lean mass than less-frequent or non-drinkers. The biggest benefit was seen at 5 or more cups per day. And for men, every extra cup per day was associated with a ~10 ng/dL higher total testosterone. Higher coffee intake was also associated with better glucose and insulin regulation in men. This was an observational study, but mechanistic and experimental evidence actually supports coffee's benefits on metabolic and hormonal health. I'm willing to believe there's a real link here rather than draw a conclusion such as "coffee drinkers live healthier lives in general."
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The US would solve many expensive downstream health problems if we invested in kids school lunches to be healthy and high quality up until 18 y/o.
The secret behind Japan’s perfect school lunches
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NYC subway ads: where VC goes to learn the Bitter Lesson.
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Neel Master retweeted
The founder in their 40s with taste and discernment is the new gentleman unicorn founder Because there can be 100x to 1000x of them working at their beck and call via agents and software factories all the time
The age of the 40-year-old founder is back. Bryant Chou spent 12 years as CTO of Webflow, which now powers something like 1.5% of the entire internet. He's back in the current YC batch with Ploy, an AI marketing platform, and he describes himself as "a bit of a boomer, double the age of the YC founders." But over 13% of his batch is already using his product, within months of launch. There is a side of the argument which destroyed one of the main edges young founders have, which was being faster and cheaper at building.... speed is everyones game. If what's left is knowing what to build this is more likely to come from spending 15 years watching an industry up close, collecting the thousand small frustrations that tell you where the real problem is. Bryant can build an anti-slop website tool because he spent over a decade learning exactly why websites are slop. So I'm updating. I don't think it's young vs. old. I think AI rewards whoever has the most domain knowledge to point it at, and only sometimes is this younger founders who are thinking outside of the box...
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Neel Master retweeted
Don’t let your life 'narrow'. I’ve been an orthopedic surgeon for 30 years. The thing I watch happen to people — more than any injury or surgery — is what I call the narrowing. Most of my patients have no idea it’s happening. They think it’s just aging. It’s not...
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Neel Master retweeted
The future is electromagnetic. One challenge is that there are ~ten people in the world who can deeply intuit electromagnetism. RF engineering is "black magic." Arena Physica thinks machines can intuit EM better. CEO Pratap Ranade & I on AI for EM: notboring.co/p/electromagnet…
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Neel Master retweeted
Replying to @demishassabis
I think the disagreement is largely one of vocabulary. I object to the use of "general" to designate "human level" because humans are extremely specialized. You may disagree that the human mind is specialized, but it really is. It's not just a question of theoretical power but also a question of practical efficiency. Clearly, a properly trained human brain with an infinite supply of pens and paper is Turing complete. But for the vast majority of computational problems, it's horribly inefficient, which makes it highly suboptimal under bounded resources (like playing a chess game). Let me give an analogy: in theory, a 2-layer neural net can approximate any function as close as you want. In practice, almost every interesting function requires a impractically large number of units in the hidden layer. So we use multi-layer networks (that's actually the raison d'être for deep learning). Here is another argument: the optic nerve has 1 million nerve fiber. Let's make the simplifying assumption that the signals are binary. A vision task is therefore a boolean function from 1E6 bits to 1 bit. Among all the possible such functions, what proportion are implementable by the brain? The answer is: an infinitesimal proportion. The number of boolean functions of 1 million bits is 2^(2^1E6), which an unimaginably large number, about 2^(1E301030) or 10^(3x1E301029). Now, assuming that the human brain has 1E11 neurons, and perhaps 1E14 synapses, each represented on, say, 32 bits. The total number of bits to specify the entire connectome is at most 3.2E15. This means the total number of boolean function representable (computable) by the entire human brain is at most 2^(3.2E15). This is a teeny-tiny number compared to 2^(1E301030). Not only are we not general, we are *ridiculously* specialized. The space of possible function is vast. We don't realize it because most of those functions are unfathomably complicated to and us and look completely random. I love this quote from Albert Einstein: "the most incomprehensible thing about the world is that the world is comprehensible" It's pretty incredible that among all the random ways the world could be organized, we can actually find a way to understand a tiny part of it. The part we don't understand, we call entropy. Most of the information content of the universe is entropy: things we simply cannot understand with our feeble minds and choose to ignore.
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Neel Master retweeted
I was 20 when I first came to India with nothing but a restless mind and an old Enfield I bought from a friend in Delhi who taught me to ride in one dusty afternoon. He took my money, flew back to Florida, and left me with one rule: don’t hit a cow, and only ride between 2–6 a.m. if you want to survive the heat and smog. Somehow, that became a philosophy for everything that followed. I crossed the country like a kid inside a dream — Calcutta to Delhi to Rishikesh — sleeping on the bike when I had to, chasing chai stalls to stay awake, tossing the bike on trains when I could afford it. I swam in the Ganges, did yoga with elders who moved like water, bought vinyl in back-alley shops, fell in love the way only your twenties let you, and wrote long confusing emails to my mom from glowing village internet cafés. In Gujarat I stopped long enough to help with earthquake relief, eat thalis in strangers’ homes, and learn “Kem Cho” and “Majama.” India didn’t just teach me independence — it cracked me open creatively. It showed me how improvisation is its own kind of discipline, how getting lost is a form of education. I never imagined I’d be invited back years later to collaborate with artists I once watched on café computers — working with actors like SRK, making videos like “Lean On” that crossed billions of views, nearly dying during spiritual side quests in Leh and Varanasi, falling for Bollywood sweethearts, and still believing every strange turn meant something. Twenty-five years later I returned to these roads, riding nine hours a day across the Himalayas on a much newer Enfield. And then — perfectly — I ended up performing at a massive Enfield festival in Goa and celebrating afterward in a motorcycle garage, as if time folded back on itself. Two decades have changed India and me both. But every time I come back, I feel the same truth: growth happens when you surrender to the unknown, when the road teaches you more than any classroom could. India was my beginning. And somehow, it still is.
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Total grift. This goes back to what Roelof Botha was saying is the systemic issue with VC today. Too much capital.
Secondary markets are rife with fraud and bad actors, and it pains me to see these bottom feeders profiting off Anduril's growth while fleecing retail investors through unreasonable or opaque fee structures. In this week's episode of nonsense, @teamignitevc (a fund we've never taken a meeting with or had any contact with whatsoever) founded by @brianrbell (who we've never met) is soliciting investors via a public Google Doc to invest in an SPV that will in turn invest in another SPV that will in turn potentially enter into a Forward Contract with a (supposedly, though unnamed) early Anduril employee: docs.google.com/document/u/0… Few problems here. First off, so-called "Forward Contracts" are notoriously hard to settle in private companies, and counterparty risk is extremely real (e.g. what about the many complicating corner cases like acquisitions where shares don't "trade" or marriages/divorces/deaths where ownership of underlying shares is complicated)... just generally a risky structure to close that I don't think most folks actually understand. Second, this "Deal Memo" includes basically no details about Anduril's performance, no revenue figures whatsoever, no product specifics... almost as if it's soliciting investors to invest on hype and momentum and not fundamentals. Generally I'd advise folks to be skeptical of any "deal memo" lacking basic details. Third, Forward Contracts are explicitly disallowed by Anduril's stock plan and bylaws, as we detail here: anduril.com/investor-relatio… ... which means that Anduril will never consent to Team Ignite's SPV actually taking possession of these shares while we are privately held. Zero chance. And finally, the memo spends most of it's time talking about the structure and fees... which are INSANE. A double-layered SPV with all legal and administrative costs passed through, in addition to an 8% upfront fee, 3% annual fee for two years, 20% carried interest, and... the craziest part... an implied price per share that is completely insane (in this case, the implied pps is ~115% higher than the most recent preferred raise from like 9 months ago). Flattered, I suppose, but also puts these investors in an almost absurd position by paying more than double the pps of our most recent transaction. 😬 As stated at the top, I don't know Brian or Team Ignite at all, maybe they're kind wholesome people and this is all a big misunderstanding... but if I were an investor looking at this "opportunity," I'd run for the hills.
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This line of thinking shouldn't apply to healthcare. In healthtech, founders need to bend over backwards to be clinically accurate.
I’m not an investor in @KianSadeghi5, but my hot take is that he’s a great founder trying to figure out how to deliver a new service to a market. It doesn’t feel like he has cut corners and it sounds like the biggest push back is on his marketing which was supposed to provoke people — so in that they got more than they bargained for. He must be on to something, because people seem pissed about it.
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Neel Master retweeted
After posting I received DMs from dozens of YC founders sharing VC horror stories. Here’s a couple examples: Reneging handshake deals, spying for their portcos, lawsuit threats, over aggressive monitoring/involvement, delayed process/decisions, rude/unpleasant behavior, disastrous terms that would hurt future rounds, and more.. Here’s what I learned: 1/ founders definitely talk Founders share experiences. VCs should be aware of that. If you’ve been involved in unfriendly behavior it likely impacts your top deals. Specifically the ones who are well positioned to have options. That’s because - like VCs - founders talk. 2/ Many don’t realize they’re doing it In many cases I got the sense that the VC didn’t realize the behavior was poor - they were just acting too far in their own self interests. They defended their need to act slowly. They defended their stance on over aggressively monitoring founder decisions. They acted in a short-term self-serving way, not realizing how detrimental it is to the very founder they need to be successful. A good example is terms. A great investor will realize that the terms they set will impact future rounds. A bad investor will be so self-serving they want everything and the kitchen sink. High ownership, tight control, preferential treatment. Things that are red flags for future investors, can destroy a future round, and ultimately risk future success. It’s not that they were malicious, they just couldn’t see beyond their own perspective. What’s ironic is that this self-serving behavior ultimately hurts them in the end. 3/ There are repeat offenders who should be avoided at all costs I’d argue that most VCs aren’t being malicious. Most of the time they’re either being too self-serving or just bad at their job. Then there’s a few repeat offenders.. Investors who were named more than once for behavior that could only be categorized as purposeful and malicious. Reneging on handshake deals and spying for portfolio companies for example. There’s no excuse for this type of behavior. It’s predatory and frankly upsetting that it continues to happen. — To avoid some pretty awful experiences I always suggest researching existing portfolio companies (which should be posted on the investor’s website) and reaching out directly to the founder. A quick 5-10 minute call will tell you everything you need to know.
Top things I look for in an investor (as a YC founder) 1/ Writes checks quickly I’ve never met a great investor who did not write checks quickly. The better the VC the faster they work, on average. A big reason for this is they respect founders time. They realize that the most sought after founders want to get back to business and want partners who respect that. I’ve also found some of the more nightmarish VCs to force long, convoluted and drawn out processes. So definitely a pattern and speed is a good first check. I always ask: “So if things go well here, what happens next? can you walk me through your typical investment process” 2/ Not “hands on” I’ve met a lot of investors who brag to me about “value add” and “hands on” assistance. That is not what I’m looking for. I don’t want an overly confident MBA student diving into my business thinking they know what they’re doing. Can investors help? Sure. But outside of capital they won’t be make or break for my company. Personally, I want to minimize the number of people in my kitchen that don’t know how to cook. You can fund the restaurant but you’re not “helping” the chef - this can turn from helpful to harmful quickly. 3/ Previous founder Exception to all of the above is previous founders. Across the board they are phenomenal to work with. They understand the life, the pain, the ups/downs. They even know to get out of your kitchen when it’s too crowded. Outside of fast checks (which previous founders tend to do anyways), this is my second favorite criteria. Previous founders are more often than not a pleasure to work with. 4/ Not a sheep Many VCs simply tag along in the same rounds with their friends. This follow-the-leader behavior leads to a lot of signaling required from the founder. I prefer to work with firms who can make a decision independently, using their own logic. These folks tend to write first checks (first is most important), follow on if you need capital in the future, and move quickly. 5/ Good reviews Yup. I background check if I can. Calling up portfolio company founders to get a read on what it’s like working with the firm. How did they act when things were going well? What happened when things went poorly? Did they ever do anything shady or not-founder-friendly? There’s been a few instances where a friendly investor was flagged by other founders for doing unfriendly things. — If an investor meets these criteria and willing to invest on reasonable terms, I wouldn’t over think it. Take the check, get back to business. This is my personal list, not a golden rule. you may have a different criteria you look for. What did I miss?
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H1-B debates is a litmus test between people who can see the forest for the trees and those that cannot. H1-Bs are an innovation multiplier - studies find that increasing the share of foreign STEM workers by 1% increases the wages of native college-educated workers by 708% with productivity increases. nitter.siddz.com/ReinceNiebuhr/status/1…
Replying to @JBlunt1018
I appreciate you are being honester about the numerator (some ppl here claiming it’s only 65k) But you aren’t quite being honest about denominator: H1Bs occupy good jobs Per grok they take 20-30% of jr software jobs at big tech. Which is much easier to see on your grid
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Breaking the 30% Utilization Ceiling in AI & HPC Clusters Most clusters are limited to 30% GPU utilization, if not lower. This is a drag on R&D globally. In our post we explain why this is a fundamental limit of all AI/HPC schedulers and orchestrators and how we solve this.
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This breaks down the limitations of SLURM, K8s, Ray and other schedulers and how we solve this by seamlessly and transparently extending them with our real time Compute Shaping capabilities based on CPU/GPU job migration. cedana.com/post/the-utilizat…
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