Qasar Younis

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Qasar Younis

Qasar Younis

@qasar

1 person in 8 billion.

https://qy.co Katılım Mart 2009
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Qasar Younis
Qasar Younis@qasar·
After 16 years and 10 months -- I'm finally writing my first...X? Also, will start writing more regularly. My first post is, ironically, on why I'm posting. qy.co/new
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Qasar Younis
Qasar Younis@qasar·
Speak the truth. Peter in a rare public post!
a16z@a16z

.@AppliedInt Co-founder and CTO Peter Ludwig says "a billion machines will become autonomous or intelligent over the next ten years." "Cars, trucks, tractors, mining haulers, defense systems, warehouse robots, humanoids—the physical economy will be rebuilt around software that perceives, decides, and acts." "The prevailing assumption about how we get there goes something like this: models keep improving, world models mature, foundation models for robotics arrive, and autonomy falls out the other end. Intelligence is the whole game; scale the intelligence and the machines will follow." "The contrarian bet, then, isn't against intelligence. It's that the next order of magnitude in physical AI comes from making the engineering system as intelligent as the models it carries." Full piece on compounding systems and Applied Intuition's newest platform, Dana: a16z.news/p/the-next-ai-…

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a16z
a16z@a16z·
.@AppliedInt Co-founder and CTO Peter Ludwig says "a billion machines will become autonomous or intelligent over the next ten years." "Cars, trucks, tractors, mining haulers, defense systems, warehouse robots, humanoids—the physical economy will be rebuilt around software that perceives, decides, and acts." "The prevailing assumption about how we get there goes something like this: models keep improving, world models mature, foundation models for robotics arrive, and autonomy falls out the other end. Intelligence is the whole game; scale the intelligence and the machines will follow." "The contrarian bet, then, isn't against intelligence. It's that the next order of magnitude in physical AI comes from making the engineering system as intelligent as the models it carries." Full piece on compounding systems and Applied Intuition's newest platform, Dana: a16z.news/p/the-next-ai-…
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Qasar Younis
Qasar Younis@qasar·
Dana!
Business Breakdowns@bizbreakdowns

Applied Intuition's mission is intelligence on a billion machines in the next decade. Qasar (@qasar) and Peter on Dana, their new agentic platform for physical AI that will help us get there faster: "If you ask why don't we have intelligent robots and intelligent vehicles everywhere today, it really comes down to building this stuff is really hard, and that is the limiting factor. Dana really is the culmination of everything we've worked on over the last decade. It makes developing these systems so much easier than it has been in the past. If you wanted to build a delivery robot for college campuses or a little vacuum that cleans your house, it's a pretty daunting thing even for hobbyists and computer scientists. These complex workflows would require switching between 20 different tools in the past... Now with Dana, all of those complex workflows can be very seamlessly orchestrated from an agentic interface. The thing that we really wanna do is just lower the bar. So anybody, starting with engineers, but ultimately really anybody can develop robots."

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Malhar Patel
Malhar Patel@malharhar·
Every AI company (robotics, bio, etc) is trying to master making their own data flywheel. Here's our view into how we've thought about building it up starting with autonomy
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Applied Intuition
Applied Intuition@AppliedInt·
Building the autonomy flywheel—data → sim / train / eval → insights— is incredibly hard, takes deep domain expertise and years to get right. Dana brings a decade of Applied Intuition's infra, tooling, and data expertise into a single agentic platform to solve autonomy's hardest problems: 🔷 Curate datasets from petabytes of fleet data, across every domain 🔷 Reconstruct scenes with Gaussian splatting and run neural simulations 🔷 Augment behaviors with RL-trained agents and generate diverse sensor data with world models 🔷 Query results and build dashboards that turn every result into action Our PM, Gautham Sholingar, gives a peek inside ⬇️
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Tarique Sha
Tarique Sha@tariquesha1·
@qasar from ur talk
Tarique Sha tweet media
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Qasar Younis
Qasar Younis@qasar·
For 9+ years we’ve been building simulators, data engines, data pipelines, scenario editors, RL environments, what's now world models... and dozens of other products. Now we’ve connected them all under one agentic layer. It is not just another harness but also the broader system to safely design, develop, and deploy Physical AI. I continue to believe a modern, AI-first development environment is one of the biggest bottlenecks to putting intelligence on a billion machines. Unsurprisingly, we’ve been using it internally for a while now and the impact has been profound in almost every measurable way. As you might know, our old office was on the corner of Pioneer and Dana – and calling it Pioneer would be too cliche. Introducing Dana :) applied.co/dana-blog
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Ali Ghodsi
Ali Ghodsi@alighodsi·
We're raising funding at $188 billion valuation to double down on our AI strategy focused on three priorities: 1️⃣ Unity AI Gateway - our multi-AI governance solution that helps control costs. 2️⃣ Genie - our AI coworkers that actually understand your business data. 3️⃣ Lakebase - our serverless Postgres database specifically for AI agents. databricks.com/company/newsro…
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Qasar Younis
Qasar Younis@qasar·
New from the @AppliedInt research team: TerraZero. Built by people a lot smarter than me :) It lets us train driving policies entirely from scratch with zero human demonstrations using self-play. It's #1 on InterPlan long-tail planning, matches the realism of demonstration-trained sim agents on @Waymo's benchmark (without human driving behavior), and is pretty performant (2.8M sim steps/sec on 8 GPUs) which is needed for large-scale RL. Check it out here: terra-applied.github.io/TerraZero
Qasar Younis tweet mediaQasar Younis tweet mediaQasar Younis tweet media
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Qasar Younis
Qasar Younis@qasar·
now thats a throwback! yes, thats me with hair
a16z@a16z

.@pmarca on founders almost always being too early, not too late: "We almost never see a qualified founder fail because they're too late to market. It's almost always because they're too early to market." "The iPad was like this breakthrough product in 2009... well, there was this thing called the Newton twenty years earlier. It was the iPad twenty years earlier, and it was like virtually the same thing, and the world just wasn't ready yet." "I think that's the permanent curse of the entrepreneur." YC Startup School 2016, with @qasar

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Qasar Younis
Qasar Younis@qasar·
now thats a throwback! yes, thats me with hair
Ivan Burazin@ivanburazin

.@sama wasn't the first person to talk about a solo unicorn. It was the co-founder of Applied Intuition @qasar, who said that the first billion-dollar company built by a single person will happen in our lifetime. He was a partner at YC at the time and joined me for a fireside chat at the @InfoBipShift conference in Croatia in 2015. I thought it was a bit too ambitious, and hence the Tony Stark quip at the end.

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Ivan Burazin
Ivan Burazin@ivanburazin·
.@sama wasn't the first person to talk about a solo unicorn. It was the co-founder of Applied Intuition @qasar, who said that the first billion-dollar company built by a single person will happen in our lifetime. He was a partner at YC at the time and joined me for a fireside chat at the @InfoBipShift conference in Croatia in 2015. I thought it was a bit too ambitious, and hence the Tony Stark quip at the end.
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Qasar Younis
Qasar Younis@qasar·
@MollySOShea Bingo! Honestly I was just happy that I could have a real conversation around students on AI and not get tomatoes thrown at me 😅
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Malhar Patel
Malhar Patel@malharhar·
When I joined @AppliedInt, back in early 2019, it was just a handful of engineers working above a bar in Sunnyvale. The website didn’t really tell you what we were. We just wanted to build amazing products for the real world, from fighter jets to hundred ton trucks to autonomous vehicles. But we’ve always been really paranoid about losing the special culture we built in the early days to the monotony of corporate scale. Somehow, even as we’ve grown into a thousand+ person company, a lot has stayed the same since (like being in the Manhattan of the Bay, Sunnyvale). And of course, we’re still building amazing products. Continuing from my prior video, we captured the culture that pulled me in all those years ago and how we’ve protected it as we’ve grown in this @firstround Review. These are all questions I’ve been asked about in the last few years from founders of all company sizes so might as well put it in one place. P.S. At the minimum, there’s some awesome photos inside so take a look :)
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