AI will help discover new science, such as cures for diseases, which is perhaps the most important way to increase quality of life long-term. AI will also present new threats to society that we have to address. No company can sufficiently mitigate these on their own; we will need a society-wide response to things like novel bio threats, a massive and fast change to the economy, extremely capable models causing complex emergent effects across society, and more. These are the areas the OpenAI Foundation will initially focus on, and in my opinion are some of the most important ones for us to get right. The Foundation will spend at least $1 billion over the next year. @woj_zaremba, co-founder of OpenAI, will transition to Head of AI Resilience. I believe that shifting how the world thinks about safety to include a Resilience-style approach is critical, and I am extremely grateful to Wojciech for taking on this role. Wojciech has been my cofounder for the last decade; anyone who knows him will understand what I mean when I say he is one of a kind. He has a lot of ideas about how we build a new kind of AI safety. @JacobTref is joining as Head of Life Sciences and Curing Diseases. @annaadeola, our VP of Global Impact, will transition to Head of AI for Civil Society and Philanthropy. @robert_kaiden is joining as Chief Financial Officer. @jeffarnold is joining as Director of Operations.
INVESTMENT
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Perplexity Computer transforms investment research and analysis workflow
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I never found a way to adopt the old version of Perplexity in my investment process, but the things you can one-shot in Perplexity Computer are mind bogglingly good, and it has become a daily driver for me (for the avoidance of doubt, this is not a sponsored post). For example, I always created a guidance credibility analysis, which is a 10-year study of company guidance behavior vs. ultimate results in subsectors: which companies consistently beat/missed/held? These trends can be strong initial indicators of business momentum shifts (i.e. a beat and raise story who just held guidance in Q3 for the first time in 5 years has some information). And you see patterns here that cause you to skeptically question guidance (high or low). Perplexity Computer can one shot this with a 9-page report. Validation is critical, so I may have a different Perplexity Computer space or a Claude CoWork session go and systematically validate, then spot check & validate any key events by hand. But the ability to spin this up quickly, at scale is but one of many emerging capabilities that has me very excited about the very recent agentic capabilities. Computer (@AskPerplexity) We're hosting a Perplexity Computer stock pitch competition starting on March 30th for students enrolled in a US undergraduate or graduate program. Students will have 1 week to research, analyze, and pitch a publicly-listed stock, using only Perplexity Computer. — https://nitter.net/AskPerplexity/status/2036470683308544495#m
→ View original post on X — @aravsrinivas, 2026-03-24 16:58 UTC
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AI Adoption Divergence Between Financial Institutions
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Was lucky to discuss AI adoption today with two technical leaders: one at a large hedge fund and the other a major retail bank. The bank lags the hedge fund, which isn't surprising. Different risk profile. What *was* surprising? How *wildly* divergent their AI adoption is.
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Tech Job Market Analysis: 9000+ Companies Hiring Data
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First, some context: 1. This analysis is based on data from @trueupio
, one of my favorite collaborators and sources of data. They track job openings at tech companies and top startups around the world (over 9,000 companies) and make it easy to browse open gigs. Their data looks -
Brett Adcock Launches Hark AI Lab With $100M Personal Investment
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The AI hardware race just got a very well-funded new player.
— The Rundown AI (@TheRundownAI) 24 mars 2026
Brett Adcock spent 8 months in stealth and $100M of his own money building Hark, a new AI lab targeting what he calls "the most advanced personal intelligence in the world."
The team: 45+ engineers and designers… pic.twitter.com/56oPro9K51The AI hardware race just got a very well-funded new player. Brett Adcock spent 8 months in stealth and $100M of his own money building Hark, a new AI lab targeting what he calls "the most advanced personal intelligence in the world." The team: 45+ engineers and designers
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Nvidia’s $68B Revenue Shows AI Chip Demand Explosion
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Every quarter the same signal appears.
— Nina Schick (@NinaDSchick) 24 mars 2026
Demand for Intelligence is exploding faster than the world can build the capacity to produce it.@nvidia just reported $68 billion in quarterly revenue. Up 73% year on year. And 91% of that comes from the chips powering Intelligence… pic.twitter.com/3H7zJymfzjEvery quarter the same signal appears. Demand for Intelligence is exploding faster than the world can build the capacity to produce it. @nvidia just reported $68 billion in quarterly revenue. Up 73% year on year. And 91% of that comes from the chips powering Intelligence
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Five Head Fakes in AI-Driven Startup Landscape Changes
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The startup landscape has changed dramatically in the last 2 years with AI's rise. But there are 5 specific changes that have been absolute head fakes for many people. Here's what I'm seeing: 🧵
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Two-Tier AI Economy: Bridging the Adoption Divide
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The Two-Tier AI Economy — Why Half of Companies Are Being Left Behind (And How to Close the Gap) AI adoption is accelerating rapidly, but a divide is emerging between organisations transforming their business with AI and those stuck in early experimentation. Read more
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GPU Capacity Dominance Reshapes AI Data Center Economics and Strategy
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AI data center capex is no longer neutral: GPU capacity now defines who can train and deploy models at scale. Procurement and architecture must adjust, because reliance on a single AI stack increases cost volatility and long-term lock-in risk. Source @VisualCap via @antgrasso
→ View original post on X — @antgrasso, 2026-03-24 14:02 UTC
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AI Shifts from Innovation Bet to Boardroom Accountability
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#AI Is No Longer An #Innovation Bet—It Is A Boardroom Accountability Issue
by Amit Basu @Forbes Learn more: https://
bit.ly/4t1NH7s #MachineLearning #ArtificialIntelligence #ML