Greg Bayer

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Greg Bayer

Greg Bayer

@gregbayer

Co-founder & CEO @tailorhq_ai. Previously: Leading Eng for @get_Magical, @LI_learning, Pulse News (acquired by @LinkedIn)

San Francisco, CA Se unió Aralık 2008
1.1K Siguiendo724 Seguidores
Greg Bayer retuiteado
Paul Graham
Paul Graham@paulg·
Sadly, one way I now recognize fake AI-generated replies is that AIs write punchier sentences than most ordinary humans.
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himanshu
himanshu@himanshustwts·
Based on everything explored in the source code, here's the full technical recipe behind Claude Code's memory architecture: [shared by claude code] Claude Code’s memory system is actually insanely well-designed. It isn't like “store everything” but constrained, structured and self-healing memory. The architecture is doing a few very non-obvious things: > Memory = index, not storage + MEMORY.md is always loaded, but it’s just pointers (~150 chars/line) + actual knowledge lives outside, fetched only when needed > 3-layer design (bandwidth aware) + index (always) + topic files (on-demand) + transcripts (never read, only grep’d) > Strict write discipline + write to file → then update index + never dump content into the index + prevents entropy / context pollution > Background “memory rewriting” (autoDream) + merges, dedupes, removes contradictions + converts vague → absolute + aggressively prunes + memory is continuously edited, not appended > Staleness is first-class + if memory ≠ reality → memory is wrong + code-derived facts are never stored + index is forcibly truncated > Isolation matters + consolidation runs in a forked subagent + limited tools → prevents corruption of main context > Retrieval is skeptical, not blind + memory is a hint, not truth + model must verify before using > What they don’t store is the real insight + no debugging logs, no code structure, no PR history + if it’s derivable, don’t persist it
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Boaz Barak
Boaz Barak@boazbaraktcs·
New blog post: the state of AI safety in four fake graphs.
Boaz Barak tweet mediaBoaz Barak tweet mediaBoaz Barak tweet mediaBoaz Barak tweet media
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Greg Bayer
Greg Bayer@gregbayer·
@akothari Wow! 🤩 🤯 As soon as it hits 1M users, are we going to Tahoe again?
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Akshay Kothari
Akshay Kothari@akothari·
I vibe coded an iOS app this week. I called it Pulse. LMK if you'd like to try it!
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Anthony Morris ツ
Anthony Morris ツ@amorriscode·
A fix has been identified and we are building a new version of Claude desktop.
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Anthony Morris ツ
Anthony Morris ツ@amorriscode·
Some users who have scheduled tasks in Cowork or Code are experiencing an issue with the Claude desktop app being unresponsive this morning. We have an active incident open and are investigating. status.claude.com
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Greg Bayer
Greg Bayer@gregbayer·
@paulg Can this lead anywhere other than agents emailing agents, and humans only stepping in after N levels of triage?
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Paul Graham
Paul Graham@paulg·
I got a pointless email from someone. When I asked why he'd emailed me, he apologized and said that OpenClaw had sent it. That's a first. Wish it was the last, but it will presumably only become more common. Who knows how many other pointless emails I've already gotten this way?
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Y Combinator
Y Combinator@ycombinator·
Slack was built for a world that no longer exists. Sila (@sila_hq) rebuilt messaging from the ground up for teams and AI to work as one. It's an agentic workplace messaging & collaboration platform where teams move faster together. AI changed what one person could do. Sila changes what an entire company can do together. Congrats on the launch, @mithparesh & @imcarlhuang! ycombinator.com/launches/Pas-s…
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Greg Bayer retuiteado
Ivan Zhao
Ivan Zhao@ivanhzhao·
Watch THIS. The most comprehensive demo of using Custom Agents + Workers to automate your startup, side project, or whatever you're working on...
Brian Lovin@brian_lovin

Yes here is my 10 minute breathless rant about why I'm so excited about Notion Workers + Custom Agents... Context: I spent this afternoon building a custom agent to help me manage Shiori (a side project I shipped last weekend). I gave the custom agent everything it needs to understand what's happening in my product (email, log drain, sentry alerts, stripe payments, etc) and to do work on my behalf (access to coding agents). In an afternoon of tinkering, this agent can: - Diagnose bug reports proactively by looking through past email conversations, system logs, and database records - Draft replies to user questions with the correct answer based on past email threads, or help me proactively reach out to churning paid users - Self-construct a database of feature requests with an understanding of who is requesting the feature and how they're using the product today - Answer any question I have about how people use the app and what I should be thinking about next - Initiate Claude Code workflows to open PRs proactively in the background when someone sends a bug report or feature request This custom agent is now my "Side Project Chief of Staff" (I don't really know what a chief of staff does but this sounds right). I didn't write a single line of the worker code because I didn't need to: models are so good that I can link to the Workers readme, yap my desired outcome into a microphone, and I get a super-personal and highly-capable AI agent out the other side. So fucking cool. The future is now! I'm excited to see what everyone makes.

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Greg Bayer retuiteado
Paul Graham
Paul Graham@paulg·
Someone asked what's the most underappreciated quality in startup founders. I realized I could answer this by asking what's the most underappreciated aspect of startups. That's easy: how hard they are. So the most underappreciated quality in founders is sheer toughness.
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Sam Altman
Sam Altman@sama·
Peter Steinberger is joining OpenAI to drive the next generation of personal agents. He is a genius with a lot of amazing ideas about the future of very smart agents interacting with each other to do very useful things for people. We expect this will quickly become core to our product offerings. OpenClaw will live in a foundation as an open source project that OpenAI will continue to support. The future is going to be extremely multi-agent and it's important to us to support open source as part of that.
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Sam Altman
Sam Altman@sama·
I am very excited about AI, but to go off-script for a minute: I built an app with Codex last week. It was very fun. Then I started asking it for ideas for new features and at least a couple of them were better than I was thinking of. I felt a little useless and it was sad.
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Greg Bayer retuiteado
Jack Altman
Jack Altman@jaltma·
New Uncapped with two of the greats, @vkhosla and @rabois. I don't think I've seen them on a podcast together so I was especially excited about this. I asked them about how they work together, how they see the world, what's changed in tech, and of course a little bit about their politics. Enjoy. (0:00) Intro (0:58) The working relationship (4:26) Pie chart on what’s discussed (7:11) Ethos of investors today vs the past (10:42) Comparing FF and KV (12:46) What makes a great founder (22:56) Alpha in today’s market (30:05) Themes in AI (38:23) How AI companies are built (46:23) Interests outside of AI (53:12) Their politics on X (58:24) Evolution of political leanings
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Sam Altman
Sam Altman@sama·
We are starting to test ads in ChatGPT free and Go (new $8/month option) tiers. Here are our principles. Most importantly, we will not accept money to influence the answer ChatGPT gives you, and we keep your conversations private from advertisers. It is clear to us that a lot of people want to use a lot of AI and don't want to pay, so we are are hopeful a business model like this can work. (An example of ads I like are on Instagram, where I've found stuff I like that I otherwise never would have. We will try to make ads ever more useful to users.)
OpenAI@OpenAI

In the coming weeks, we plan to start testing ads in ChatGPT free and Go tiers. We’re sharing our principles early on how we’ll approach ads–guided by putting user trust and transparency first as we work to make AI accessible to everyone. What matters most: - Responses in ChatGPT will not be influenced by ads. - Ads are always separate and clearly labeled. - Your conversations are private from advertisers. - Plus, Pro, Business, and Enterprise tiers will not have ads.

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David E. Weekly
David E. Weekly@dweekly·
Nano Banana Pro is incredible.
David E. Weekly tweet media
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Greg Bayer retuiteado
University of Austin (UATX)
University of Austin (UATX)@uaustinorg·
UATX will never charge tuition. And we will never take government money. Here's why. Graduates spend decades shouldering debt for hollow credentials. This debt influences every decision they make: What job to take. Where to live. When to marry. When to have children. Some will never start that company. Never take that risk. Never build what they were meant to build. Meanwhile, universities take billions of subsidies from Washington while hoarding billions in endowments. And every year, they raise tuition. Universities get richer. Students get poorer. America gets weaker. Every breakthrough — every invention, every industry, every new frontier — began with a handful of extraordinary individuals free to take extraordinary risks. Washington led men into battle at 22. Carnegie was building his steel empire by 30. Meriwether Lewis charted the American West in his twenties. Sam Colt patented the revolver at 22. Palmer Luckey sold Oculus at 21. Patrick Collison founded Stripe at 22. Michael Dell began his computer business at 19. Fred Smith launched FedEx at 29. None of them spent his twenties paying off student loans. Thanks to a $100 million gift from Jeff Yass — the largest donation since UATX was founded in 2021 — we're breaking the chains. His gift marks the launch of a $300 million campaign to build a university that sets students free. Our bet: Create graduates so exceptional they'll pay it forward when they succeed, financing the tuition of the next generation. When our students build important companies, defend our nation, advance scientific frontiers, build families, and create works that elicit awe, they'll remember who made their excellence possible. And they’ll give back. Other Americans will take notice. Those who believe in unleashing American talent will invest in creating more of it. Every other college gets paid whether students succeed or fail. At UATX, if our graduates don't become essential to American excellence — and if their work doesn't inspire others to fund this mission — we're done. Every dollar raised, every professor hired, every course taught must produce extraordinary graduates — or we fail. We've designed our own constraints: no room for bloated bureaucracies, no frivolous departments, no administrative empire-building. Our survival depends on one thing only: graduating leaders free to pursue American greatness. The University of Austin rejects the credentialing cartel. We admit purely on test scores, rank every student, and fail those who can't cut it. The nation's brightest are coming to Austin — transferring from Carnegie Mellon, turning down UChicago, leaving Columbia — to wrestle with great books, master AI and data science, and start real companies on campus. They're choosing a university dedicated to excellence instead of collecting hollow credentials elsewhere. Jeff Yass has shown us what betting on America’s future looks like. Now we invite you to join him.
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Greg Bayer
Greg Bayer@gregbayer·
💡 This is exactly what @tailorhq_ai is doing for Marketers.
Aaron Levie@levie

In 5 years from now, probably 95% of the tokens used by AI agents will be used on tasks that humans never did before. I just met with about 30 enterprises across 2 days and a dinner, and some of the most interesting use-cases that keep coming up for AI agents are on bringing automated work to areas that the companies would not have been able to apply labor to before. Most of the world hasn’t quite caught on to this point yet. We imagine AI as dropping into today’s workflows and just taking what we already do and making it more efficient by 20% or something. Yet most companies realize that most of the time they’re doing far less than they could because of the cost or limited capacity of talent. This shows up in different ways across every industry. In real estate it’s ideas like being able to read and analyze every lease agreement for every trend and business opportunity possible. In life sciences it’s being able to rapidly do drug discovery or improve quality by looking through errors in data. In financial services it’s being able to look through all past deals and figure out better future monetization. In legal it’s being able to execute on contracts or legal work for previously unprofitable segments or projects. And these are just the Box AI use cases that deal with documents and content. The same is going to be true in coding, where companies tackle software projects they wouldn’t have done before. Security of all systems and events they couldn’t get to. And so on. If you are working on AI Agents right now, the big opportunity is to bring enterprises “work” for problems that they couldn’t do before because it was nearly impossible to afford or scale. And if you’re deploying AI agents in an enterprise, consider what things you’d do more of (or differently) if the cost and speed of labor became 100X cheaper and faster. This is going to get you the real upside of automation.

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Greg Bayer
Greg Bayer@gregbayer·
@myomnipod When are you going to support the new iPhone models?
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