Arjun Gupta (@ArjunGupta) profile picture

J.D. Candidate at @uocommonlaw

Canada
Joined March 2008
Photo by Arjun Gupta (@ArjunGupta)Photo by Arjun Gupta (@ArjunGupta)Photo by Arjun Gupta (@ArjunGupta)Photo by Arjun Gupta (@ArjunGupta)Photo by Arjun Gupta (@ArjunGupta)Photo by Arjun Gupta (@ArjunGupta)Photo by Arjun Gupta (@ArjunGupta)Photo by Arjun Gupta (@ArjunGupta)Photo by Arjun Gupta (@ArjunGupta)Photo by Arjun Gupta (@ArjunGupta)
What a privilege to host a conversation with two amazing legal minds! Thank you so much for your time @USAmbCanada @viraniarif @uocommonlaw
The surge in Antisemitism and Islamophobia -online and offline - is extremely dangerous. With @USAmbCanada at @uocommonlaw, we had an honest conversation on the rise of hate and how now, more than ever, we must speak out and stand together.
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Arjun Gupta retweeted
How to use Grok @Bot
SpaceXAI has built an entire Grok Bot Guides library showing how people are actually using AI agents as real teammates These are practical playbooks from people already running Grok Bot for: • Mobile app development • Product management • Design • Enterprise GTM • Managing multiple teams of agents And these are not just chatbot workflows Each Grok Bot can have its own role, memory, cloud computer, connected tools, recurring routines and learned skills, then hand work directly to other specialized bots One example runs a six-bot mobile game studio across analytics, creative, engineering, infrastructure and bug fixing Another has a PM running a Chief of Staff, engineering manager, five engineering agents, data analyst, product agent and recruiter There are even setups where entire projects get their own channel, roster of bots and Notion board, basically organizing AI agents like a human team This is probably one of the most useful resources SpaceXAI has published for understanding what working with a real team of AI agents actually looks like You can check out the entire library here: x.ai/bot/guides
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Arjun Gupta retweeted
think about what you hear in early stage funding (for equity capital). Venture won't even listen to you unless you say AI. That is now pushing downstream into the public equity markets (which people will claim is just equity investors losing their heads per usual) but also into the debt markets, as chips and datacenters use debt financing to build out the infrastructure. Given the degree to which the market is compute starved the datacenter builders will still happily build at higher cost of financing (since their projects pencil so well), and the durability of the nvidia chip values means that so long as they're building nvidia they can collataralize debt against the chips, lowering cost of finance for even more balance-sheet tenuous operators. I would expect that you will see this cut against high yield at first. After all the debt finance has to come from somewhere, but high yield financing generally sloshes around to where the marginal opportunity lies (and high yield investors are expecting some of their credits spin sideways on roll risk and general business idiosyncrasies.) That compute will be presented and financed as a more stable more investment-grade-y asset class and so begin competing for funding against corporations and entities that aren't used to such a fierce level of competition is the surprising bit that I expect people aren't really dimensioning or anticipating. As the annual capital requirements for datacenter build outs scales into the trillions, that becomes meaningful relative to the size of total global corporate issuance. If AI infrastructure builders can tolerate a higher cost of funding because their projects underwrite better, where does that leave the incumbent stable businesses expecting to roll their credit at a more normal spread. Of course the base rate matters as well, if real GDP growth inflects as we anticipate (and you can already see the leading indicators that this is going to occur) that should naturally drive long rates higher (even as technological deflation keeps inflation in check.) Cross the two and very stable businesses that seemed to be chugging along fine could suddenly find themselves starved for inexpensive capital to a degree sufficient to destabilize their operating models. Be very wary of businesses that claim they can live outside of disruption; we are at a pivot point, and the world is turning.
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Arjun Gupta retweeted
a surprise I think is coming the quick payback periods and extraordinarily high IRR for AI infrastructure, even at monumental scale, will push up cost of capital sufficient to push many traditional businesses into the abyss, even those without obvious direct AI counter-exposure
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Arjun Gupta retweeted
When I try and explain that tokens inferenced increased 25-fold in a year and are multiplying exponentially, cascading through the economy, and are likely to push real GDP growth per year toward double digit territory, many clients and companies simply do not comprehend.
The AI riptide is already underway
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Arjun Gupta retweeted
"Steve Jobs walked by and said the font city names weren't bad, but 'at least call them world-class cities.' That's how Paoli and Wynwood became New York and Geneva."
Before joining Apple as the Macintosh artist, @SusanKare was an art history PhD who barely knew anything about computers. She went on to design many of the icons, typefaces, and symbols that helped make the original Mac feel understandable and human, defining a visual language for personal computing that still influences software today. At Startup School 2026, Susan shares the stories behind the Happy Mac, Command key, Chicago font, and more, along with the design lessons she learned from Steve Jobs, Paul Rand, and the original Mac team: make things meaningful and memorable, embrace constraints, iterate constantly, and use just enough detail to make an idea instantly clear. 00:00 — Making Things Meaningful and Memorable 01:51 — How Susan Joined Apple 05:01 — Designing the Original Macintosh 06:35 — A Computer Anyone Could Use 08:26 — Creating Chicago and the Mac Typefaces 11:47 — MacPaint and the First Icons 14:45 — The Story Behind the Happy Mac 17:08 — Why Simple Icons Work Better 18:25 — The Icons That Didn’t Work 21:23 — Designing Symbols That Last 22:44 — How the Command Key Got Its Symbol 25:20 — What Ancient Symbols Can Teach Designers 30:18 — Designing After Apple 36:32 — Lessons From Steve Jobs, Paul Rand, and More
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Arjun Gupta retweeted
If big companies can't make a net return on their LLM token costs, that doesn't mean it's impossible to. In fact this is exactly what you'd expect to happen with a new technology. Incumbents can't use it well, and are replaced by upstarts who can.
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Arjun Gupta retweeted
🎾Introducing LATENT: Learning Athletic Humanoid Tennis Skills from Imperfect Human Motion Data Dynamic movements, agile whole-body coordination, and rapid reactions. A step toward athletic humanoid sports skills. Project: zzk273.github.io/LATENT/ Code: github.com/GalaxyGeneralRobo…
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Arjun Gupta retweeted
We learn a latent action space from imperfect human motion data and train a high-level policy to sample from it for task accomplishment. We propose two novel designs that enable the high-level policy to effectively correct and compose the imperfect primitive skills in this space.
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800,000 layoffs in 2025. 10,000 in September alone tied to AI. Jobs are disappearing fast. But here’s the truth no one wants to say: It’s the start of a new gold rush... for those who learn how to build with the machines, not fight them.
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"If you want to do great work it's an advantage to be optimistic, even though that means you'll risk looking like a fool sometimes." Paul Graham on earnestness and doing great work:
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The Canadian Ditchley Foundation’s annual conference reminds us of the importance of hearing new ideas in addressing global challenges. I was pleased to contribute to the conference discussions by sharing my vision for Canada’s foreign policy.
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La conférence annuelle de la Canadian Ditchley Foundation nous rappelle l’importance d’entendre de nouvelles idées pour relever les défis mondiaux. J’ai eu le plaisir de contribuer aux discussions en partageant ma vision de la politique étrangère du Canada.
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“The doers are the major thinkers.” ~ Steve Jobs
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Jeff Bezos: focusing on customers helps small companies beat big ones.
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We already are. Just through a fairly narrow communication bottleneck.
what if I told you that OpenAI, Google, Anthropic and xAI will all be working together in a few years
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Arjun Gupta retweeted
If you imagine every job function and workflow will have an AI Agent counterpart to automate work, it’s clear we’re in the earliest stages of the AI wave. Every vertical and line of business represents a new market category and brand new TAM that didn’t exist before.
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Diplomacy, borders, trade. Ottawa Law sits at the heart of Canada’s defining conversations. Next week, those conversations come to life with the U.S. Ambassador, who will reflect on his time in office. LIMITED AVAILABILITY Register at ftx2025.ca
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