AI Foundations & Research
Covers core artificial intelligence concepts, research breakthroughs, large language models (LLMs), generative AI, and the development of advanced AI systems and agents.
Viral Moments
63
AI that remembers everything
Unbelievable AI perception
Optimus is an 'infinite money glitch'
Mandating AI adoption at Coinbase.
Unbelievable growth story!
AGI is already here?
Highest praise for GPT-4
AI for everyone
OpenAI's riskiest bet
The future of self-driving
Models want to be successful!
Data centers in space
AI decision in a weekend
Software Dev Transformed
Why isn't voice AI everywhere?
Replacing IVR systems
Achieving both latency and throughput
Space AI: 30 months away?
AI's scientific breakthroughs
Future of software
AI sovereignty is key
AI answers 92%!
Current UIs are from the 70s!
Betting big on AI performance
Startups take bigger risks
Neural nets vs. old data models
Beyond traditional APIs
Less errors, weirder outcomes.
AI's coding impact
Space AI will dominate Earth
The AI backbone revealed
The future is agentic
65% resolution rate
Dota AI's unexpected trick
GPT for community moderation
Memory is critical
Semi-rogue AI agents
AI will understand *your* voice
Preventing AI hallucinations
Geopolitical adversary control
Everyone thinks they know AI
AI shopping assistant
Contrarian view on autonomy
Lambda's untold story
Why speed matters for humanity.
AI's surprising 'accents'
Cheaper than calling Sundar
LLM market is different
Investor sentiment shift
Autonomous trading agents
Models are getting smarter.
AI isn't a flawless human
Dispelling AGI myths
Turning your life into code
Latency budgets revealed
Humans along for the AI ride?
Driving's social intelligence
Why voice AI isn't 'human' yet
TPUs vs. Nvidia GPUs
Labs want your IP
AI's surprising historical link
AI adoption challenges revealed
Don't fight AI
Key Quotes
16
“Most businesses are today operating in what we call low revenue mode. Running on old unoptimized payments infrastructure that's leaking dollars left, right, and center through conversion, o, and fraud prevention rates.”
“I think at the core of every great business, every great SaaS business but in the future AI business is something that they're just truly world class at.”
“The market size today is only a predictor of the market size today.”
“I think the promise of see-through glasses is like you and I can sit across from each other, play a game of chess, design something, build something, watch something together that's totally unlike any computing experience that exists today.”
“I think what a lot of people underestimate in these moments is it feels so far from a zero sum game to me.”
“I would say that we've clearly moved past the stage of scientific research and kind of deep core technology development to this new phase of accelerated global scaling and deployment.”
“It is actually possible to do both in the same chip. You take the HBM, you take the SRAM, put them together in the same chip. You put the weights in SRAM and you put the inference data in HBM. That is what we are doing in fact.”
“I would say that the opportunity for short selling is better than it's ever been in my career. However, you cannot capitalize on that opportunity.”
“I think we're going to be in a world where the models will make mistakes much less often than humans, but they'll be stranger mistakes.”
“The joke people have about Instagram is that the ads are better than the content. As someone who uh bought like 25 umbrellas that change color in the rain off of a ad, they work. They do. They are a source of real delight.”
“It will be by far the cheapest place to put AI will be space in 36 months or less, maybe 30 months.”
“I think that AI is surprising. I think that that is like the single most consistent theme is that the thing we were picturing we got something different but we got something better more magical something that is more helpful.”
“I think that there will come a point and my guess on this point is probably in the neighborhood of let's say 2 3 4 years from now where we stop using code as the main interface.”
“The technology in many of those cases is ready. There's a deployment gap to what you are saying is like an automative or some of the big companies are not adopting that quickly enough or bringing that into the production.”
“I think the atomic unit of productivity and AI is a process not a person.”
“Nobody gives a [ __ ] about on-chain issuance. They just want a button to deliver money so that they can raise for their venture as easy as possible.”
Chapters
192
Articles
16
Stripe's 2025 annual letter paints a vivid picture of a rapidly evolving global economy, driven by unprecedented entrepreneurial acceleration, the transformative power of AI, and the quiet rise of stablecoins as a foundational payment rail.
In a revealing conversation, Intercom co-founder Des Traynor details the company's dramatic reinvention, including a lightning-fast pivot to AI that reshaped its product and business model, offering a blueprint for navigating the new tech landscape.
Christina Cacioppo, CEO of Vanta, shared profound insights into the evolving landscape of compliance, the transformative power of AI, and unconventional wisdom for entrepreneurs. Her journey from identifying a hidden problem at Dropbox to building a trust management leader challenges traditional startup metrics and operational norms.
Snap CEO Evan Spiegel shared a compelling vision for the future of computing, emphasizing augmented reality (AR) glasses and the transformative power of AI. He detailed Snap's "crucible moment" as the company approaches a billion users and prepares to launch its Spectacles to consumers, aiming to make computing more human and less isolating.
Google CEO Sundar Pichai offers a candid look into the company's deep-rooted AI journey, addressing past 'missed opportunities' and outlining an ambitious vision for the future, emphasizing speed, safety, and a non-zero-sum approach to the AI revolution.
Dmitri Dolgov, co-CEO of Waymo, offers a rare glimpse into the two-decade journey that transformed Google's ambitious self-driving car project into a commercial reality, highlighting critical AI advancements and strategic shifts.
Reiner Pope, co-founder and CEO of MatX and a former Google TPU architect, is spearheading a new era in AI hardware, designing chips specifically optimized for large language models (LLMs). His company recently announced a significant $500 million Series B funding round, signaling a major push to bring these advanced chips to market.
Dan Sundheim, the visionary behind D1 Capital, offers a rare glimpse into the mind of a top-tier hedge fund manager. From his contrarian views on public markets to the strategic shifts born from market chaos, Sundheim's insights challenge conventional wisdom.
Anthropic CEO Dario Amodei offers a rare glimpse into the explosive growth and philosophical underpinnings of his frontier AI lab, revealing how a blend of scientific ambition and market savvy has propelled the company to historic revenue milestones.
Susan Li, the youngest CFO of a Fortune 100 company, offers a candid look into Meta's strategic decisions, financial philosophy, and the personal journey that led her to the top. From her early days on Wall Street to steering Meta through market turbulence, Li provides a rare glimpse into the mind of a leader at the forefront of tech.
In a wide-ranging discussion, Elon Musk laid out a visionary and stark assessment of artificial intelligence's future, predicting that space will become the most economically viable location for AI compute within three years due to insurmountable power and regulatory challenges on Earth.
OpenAI cofounder Greg Brockman offers a rare glimpse into the company's often counter-intuitive journey, revealing that many of its most significant advancements stemmed from unexpected observations and projects initially perceived as failures.
Scott Wu, the visionary CEO of Cognition, is not just building an AI coding agent; he's orchestrating a fundamental shift in how software is developed. From his unconventional path as a math prodigy and Harvard dropout to leading the charge in agentic AI, Wu offers a compelling glimpse into the future of technology, where AI takes on an increasingly autonomous role.
Mati Staniszewski, co-founder of ElevenLabs, pulls back the curtain on the groundbreaking innovations propelling his company to the forefront of the voice AI revolution, discussing everything from the nuances of audio model architecture to the strategic decisions behind their meteoric rise.
Bret Taylor, a Silicon Valley luminary and CEO of Sierra, offers a compelling vision for how AI agents are not just optimizing existing processes but fundamentally altering the landscape of enterprise software, customer interaction, and even internal company structures.
In a wide-ranging interview, Robinhood CEO Vlad Tenev offered an unvarnished look into the company's past, present, and ambitious future, touching on everything from his formative experiences with hyperinflation to candid discussions with Elon Musk during the GameStop frenzy, and Robinhood's bold moves into banking, tokenization, and even AI-driven mathematical discovery.
Sessions
18
