Vinod Valloppillil

764 posts

Vinod Valloppillil

Vinod Valloppillil

@vinodv

Enterprise + AI. Dir/PM Azure AI. $GOOG (GCP Language & Vision AI), $DBX (features, search, ML), Startups (3 exits), early $MSFT (OS, web).

Berkeley, CA Katılım Mayıs 2008
961 Takip Edilen487 Takipçiler
Vinod Valloppillil
Vinod Valloppillil@vinodv·
@Will_McKelvey I think it's pretty fundamentally a supply-side issue. The # of slots hasn't kept pace with the # of people applying & being subsidized. The result is plummeting admit rates + soaring costs.
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Will McKelvey
Will McKelvey@Will_McKelvey·
I just talked to a 65-year-old UC Berkeley alum who just retired after 30 great years as a researcher at Microsoft, and his story really illuminates how much the gamification of US college apps has fucked economic mobility. This guy grew up in a poor family in the East Bay, and he didn't even apply for college. However, he crushed the SAT, and admissions folks from Cal found him and automatically accepted him, which kicked off a long, highly successful research career. Can you imagine that happening today? Test prep has been optimized to the point that there are so many kids reaching near-perfect scores that universities have no choice but to look for signal in an increasingly outlandish extracurricular arms race (high school internships, "founding" nonprofits, etc). The idea of someone getting into one of the top schools without even applying feels completely fantastical. Even UC Berkeley, which is notable for the outsized economic mobility it affords its students, boasts an *11%* acceptance rate. There is no way that this same guy if he was 18 years old today would get plucked out a pool of non-applicants. I don't have a solution here. Getting rid of standardized tests was a bad idea that has thankfully been mostly rolled back. It just astonished me how much hearing this guy's story felt like a completely fantastical concept in today's environment.
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Vinod Valloppillil
Vinod Valloppillil@vinodv·
Tesla Phase 1 TAM = EV Market Tesla Phase 2 TAM = Global Taxi Market Tesla Phase 3 TAM = Global physical labor market SpaceX Phase 1 TAM = Global launch market SpaceX Phase 2 TAM = Global telephony market SpaceX Phase 3 TAM = Global datacenter market
Aaron Burnett@aaronburnett

The most under appreciated part of SpaceX is how strong the Starlink position is. People acknowledge its existence but don’t appreciate the math. All three of these assumptions below can be very wrong delaying profitability for years (even into the 2030s) and Starlink continues to throw off a lot of cash. It positions SpaceX as one of the lowest risk bets on AGI.

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Vinod Valloppillil
Vinod Valloppillil@vinodv·
I'm a podcast addict (usually have one running when I'm in the car, walking, running errands, etc.) This is one of the few that I've listened to more than once - youtube.com/watch?v=8jN60e…
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Vinod Valloppillil
Vinod Valloppillil@vinodv·
We've been cooking in Azure Search & Agentic Knowledge Retrieval. The rapid evolution from "traditional search" to RAG and now Knowledge Retrieval dramatically expands the suite of services your Search stack needs to deliver. This video is a great overview of our latest release with some awesome visuals - youtube.com/watch?v=bHL1jb… And, as always, we're just getting started.
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Nabeel S. Qureshi
Nabeel S. Qureshi@nabeelqu·
New Thiel interview captures my feelings about the UK well -- so much talent and potential there, they just need to muster up the will to do the obvious...
Nabeel S. Qureshi tweet media
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Vinod Valloppillil
Vinod Valloppillil@vinodv·
@ptsi You gave camcorder a strong, from deep from the heart effort . Excited to see what you do next !
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Philipp Tsipman
Philipp Tsipman@ptsi·
Reflection - as I’m working to start the new company, I’m also working to shut down Camcorder AI. It’s hard to not to be emotional about it. The shut down process — legal & compliance-wise — will easily take 6 months. It’s incredible how much startups take. Importantly, to keep a cool head amidst the chaos. If anyone is going through the same, and I can help, would love to chat!
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Vinod Valloppillil retweetledi
Vinod Valloppillil
Vinod Valloppillil@vinodv·
Elon is the only person on the planet who thinks SpaceX isn't being ambitious enough. TAM = global launch market + global telecom market (starlink) and now, the global data center market.
Abhi Tripathi@SpaceAbhi

Some people (including me at first!) are concerned that SpaceX's AI space data center and reported IPO ambitions may stymie or self-sabotage their Mars plans. This is a legit concern to wonder about. Visionary companies can become suddenly myopic, one eye always on the stock ticker because of shareholders and the vagaries of the market. Here are a few quotes about going public that are attributed to Musk: “There’s a lot of noise that surrounds a public company and people are constantly commenting on the share price and value.” “As a public company, we are subject to wild swings in our stock price that can be a major distraction for everyone working at Tesla…" “I wish we could be private with Tesla. It actually makes us less efficient to be a public company" That being said, there is a solid counter argument, grounded in science fiction, that posits that humans probably can't settle other planets without AGI or at least advanced AI agents. Even the National Academies report released yesterday that recommended a science strategy for the human exploration of Mars, emphasized human and AI Agent pairing. Sophisticated AI inference on the edge (Mars) where round trip communications could take up to 40 mins might be essential to establishing a human presence there. Think of how much construction and civil engineering projects will be needed to scale civilization there. So if you want to see humans settle Mars in your lifetime, and scale their during the lifetime of your heirs, have some faith. This twist of fate might be the right one. 🤷‍♂️

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Vinod Valloppillil
Vinod Valloppillil@vinodv·
@HarmeetKDhillon Please publish stats + excerpts of the false data you've dug up. It needs to be super duper public to restore trust
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Harmeet K. Dhillon
Harmeet K. Dhillon@HarmeetKDhillon·
The times 🎶 they are a-changin'! So proud to be leading this effort to clean up voter rolls, improve public confidence, deter fraud, and increase the accuracy of our elections for ALL AMERICANS!
Bannon’s WarRoom@Bannons_WarRoom

JOHN SOLOMON: 26 states are about to be forced to clean up their voter rolls, taking off non-citizens, dead people, the triple registrars, all of it. The '26 election could be fundamentally different for the Democrats, because they won't have their dirty voter rolls! @jsolomonReports

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Scott Woody
Scott Woody@l3amm·
After six years, I’m proud to say that Metronome is now moving to the big leagues! We’ve signed a definitive agreement to become a part of Stripe Metronome isn’t going away - we’re just gonna scale way, way, way up with all the resources and amazing talent that Stripe has to offer. metronome.com/blog/important…
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Vinod Valloppillil
Vinod Valloppillil@vinodv·
It's cuz GDP/biz is a team sport (like basketball) rather than an individual one (like chess). Sure it works better with brilliant individuals, but you also need social capital, the right miz of rule adherence and rule-breaking, room/freedom to try new stuff, ability to drive a team, etc
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Vinod Valloppillil
Vinod Valloppillil@vinodv·
2 counter arguments - with AI, the traditional boundaries between apps shrink even more - one of the things that drove app distinctions was ux + app logic. With AI + agents, both can be figured out at runtime, on the fly
Eren Bali@erenbali

I understand why many smart people feel this way but I’m not worried about this scenario one bit. In the heydays Google and Facebook there were similar predictions. Google was going to swallow the Internet, FB apps were going to replace everything etc. They weren’t the slow incumbents we think of them today. They were scary. I wasn’t around in Microsoft’s heydays but I bet it was similar. One company to rule them all never works out. Especially in the application layer where every design decision is a trade off. That’s why even in the same category, you can have many successful companies based on minor differences. There isn’t one way to find restaurants, learn things, connect socially, organize an event or shop online. You can always find weaknesses of an existing service and build something better for certain customers. If anything, the foundational model companies have much weaker moats than Google, FB and MS had. No models have a monopoly on anything. Distribution and capital is way more accessible for startups than it was 10-20 years ago. OpenAI and Anthropic have some momentum right now. But when they’ve to compete in 10+ categories, you’ll be competing with a PM there, not their founders. These organizations also have significant cultural weaknesses you can leverage. Their coveted researchers want to solve math problems, not hear complaints from soccer moms in Ohio or compliance teams of regional hospitals. So I’ll say game is on. You can’t win if you don’t play.

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Vinod Valloppillil
Vinod Valloppillil@vinodv·
@HarryStebbings The TAM expansion case is... Customer support is the entry use case with known quantifiable spend and efficiency gain. The expansion use cases are sales and marketing as agents take over traditional SEO, brand, outreach and more.
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Harry Stebbings
Harry Stebbings@HarryStebbings·
One market I cannot figure out in a world of AI is customer support. You have: Sierra Decagon GigaML Parloa Forethought Kore Cresta All of these have raised over $100M. and then oldies like Intercom Zendesk Help me out, how does this market shake out?
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Vinod Valloppillil
Vinod Valloppillil@vinodv·
Grokipedia is fascinating on several levels a) Grokipedia gets around Wikipedia's infamous "edit wars" / "source wars" / "editor mafia" by making "truth seeking AI" the primary writer. And if you haven't been following closely, then yes, Deep Research-style AI is now good enough to critically investigate a topic via 1000s of articles and construct a wikipedia style report... b) Grokipedia went from idea to shipping product in ~6 weeks? It's built on an internal tool but the idea to externally publish content was casually tossed around by Elon and David Sachs, live, at a conference in early September! Few companies, if any, can even evaluate, much less ship (!!!) something this bold and novel this fast (across both Google and Microsoft, I've had some peripheral involvement with work that I'd call "adjacent" to grokipedia over the years). Once again, Elon (et al) really force us to reconsider what's possible with our precious, limited, time and energy. c) it really gives you a sense of just how "shaped" wikipedia has become. The simple test is to take a controversial topic -- the Covid era Great Barrington Declaration (GBD) for ex - and compare the 2 sites' writeups head to head - en.wikipedia.org/wiki/Great_Bar… grokipedia.com/page/Great_Bar… It's cheap and easy to argue that grokipedia is just regurgitating its author's preferred bias instead of anonymous wikipedia editor's. But it also only takes an ounce of effort to take a look for yourself and see if that's really true. At the minimum, it's great to have both perspectives and hopefully in time, the competition will nudge both parties towards truth. And grokipedia, of course is still just a v0.1.
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Vinod Valloppillil retweetledi
Nando de Freitas
Nando de Freitas@NandoDF·
I would like to hire exceptional engineers (code, math, science, games, video) . Essential: people who want to transform the world in positive ways by advancing AI. Email me at: JoinAITeam@microsoft.com Preference for generalists who can work with data, model ablations, inference and evals. Exceptional coding skills a must.
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Tomasz Tunguz
Tomasz Tunguz@ttunguz·
When Anthropic introduced the Model Context Protocol, they promised to simplify using agents. MCP enables an AI to understand which tools rest at its disposal : web search, file editing, & email drafting for example. Ten months later, we analyzed 200 MCP tools to understand which categories developers actually use. Three usage patterns have emerged from the data : Development infrastructure tools dominate with 54% of all sessions despite being just half the available servers. Terminal access, code generation, & infrastructure access are the most popular. While coding, engineers benefit from the ability to push to GitHub, run code in a terminal, & spin up databases. These tools streamline workflows & reduce context switching. Information retrieval captures 28% of sessions with fewer tools, showing high efficiency. Web search, knowledge bases, & document retrieval are key players. These systems are likely used more in production, on behalf on users, than during development. Everything else including entertainment, personal management, content creation, splits the remaining 18%. Movie recommenders, task managers, & Formula 1 schedules fill specific niches. MCP adoption is still early. Not all AIs support MCP. Of those that do, Claude, Claude Code, Cursor top the list (alliteration in AI). Developer focused products & early technical adopters are the majority of users. But as consumer use of AI tools grows & MCP support broadens, we should expect to see a much greater diversity of tool use. tomtunguz.com/mcp-server-act…
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Vinod Valloppillil
Vinod Valloppillil@vinodv·
@sunilmallya For a long time, Information Retrieval research boiled down to "what did google ship last week?"
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sunil mallya
sunil mallya@sunilmallya·
Just like Distributed Systems research in the industry was far ahead of academia starting ~2005, LLM research is far ahead in industry.
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