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I was at Moscone West this morning for TDX 2026, and among all the announcements, I believe Salesforce Headless 360 is the most important — one platform to rule them all.
open.substack.com/pub/gsmbk/p/sa…
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Geo Morjane
6.6K posts
Geo Morjane
@gsmbk
Unlicensed therapist. Interested in philosophy, ethics, decentralized systems, and doing good in the world. Creating community in the Bay Area. Come join us!
San Francisco, CA Katılım Ocak 2008
2K Takip Edilen1.7K Takipçiler
Okay wow! @OpenAI - that’s spot on!
OpenAI@OpenAI
Introducing ChatGPT Images 2.0 A state-of-the-art image model that can take on complex visual tasks and produce precise, immediately usable visuals, with sharper editing, richer layouts, and thinking-level intelligence. Video made with ChatGPT Images
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The new paradigm of hiring software engineers.
@SierraPlatform were first to introduce “outcome based pricing” and now the industry is following their lead. I have a feeling this is the next wave of setting another leading example!
Bret Taylor@btaylor
As coding agents have become the standard for developing software, we've transformed Sierra's engineering interview process to be AI-native. We've documented our lessons here, and very curious how others in the industry are navigating sierra.ai/blog/the-ai-na…
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@perplexity_ai you have 24 hours (as you did before) to announce that @OpenAI Image 2 is available for Max subscribers so I can start using the new model in my workflow!
T -24 ⏳
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@gsmbk All built on Claude SDK with a lot of input and help from IT! Well be following up with more technical details soon
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I fully reverse-engineered Ramp's internal AI operating system.
Their system — called Glass — is how they got 99% of their entire company using AI every single day.
350+ reusable workflows.
Every tool connected at first login.
Memory that refreshes every 24 hours.
Automations running while everyone sleeps.
I partnered with my engineering team and we broke down every component inside it.
Then we rebuilt the whole thing for marketing agencies.
76 pages.
Every system.
Every layer.
Every step.
Steal it.
Comment "OS" and I'll send it directly.
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Eric Glyman@eglyman
99% of Ramp uses ai daily. but we noticed most people were stuck — not because the models weren't good enough, but because the setup was too painful and unintuitive for most. terminal configs, mcp servers, everyone figuring it out alone. so we built Glass. every employee gets a fully configured ai workspace on day one — integrations connected via sso, a marketplace of 350+ reusable skills built by colleagues, persistent memory, scheduled automations. when one person on a team figures out a better workflow, everyone on that team gets it and gets more productive. the companies that make every employee effective with ai will compound advantages their competitors can't match. most are waiting for vendors to solve this. we decided to own it.
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I wrote this early this morning and I wasn't sure if I would actually publish it, but here it is:
blog.samaltman.com/2279512
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Geo Morjane retweetledi
Computer now connects with Plaid to link bank accounts, credit cards, and loans.
Track spending in detail, build custom budget tools, and visualize your net worth alongside your investment portfolio.
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Preparing for tomorrow’s @lennysan Newsletter Meetup in San Francisco, luma.com/pwciozw0?tk=mL…, I used his recent Data MCP (lennysdata.com - I'm a paid member) and the latest interviews with the @AnthropicAI team to create a summary of the key topics he discussed with @mikeyk, @8enmann, @bcherny and @jenny_wen
My process started with @perplexity_ai Computer --> connecting the MCP and researching the topics --> pushing the code to @github --> then to V0 --> @vercel --> and improvement cycles. The entire process took me less than 30 minutes!
I'm pretty sure it would have taken at least a day to build something like that manually, but with @perplexity_ai Computer, 30 minutes is my new standard now!
Check it out and come say hi tomorrow 👋 😊
anthropiclenny.gsmbk.com
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@bcherny I mean, the time between people complaining about this online to “here you go we solve it” is 🤯🤯🤯🤯
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Hahah! Hearing you speak at different events, I’ve always appreciated how open you are to the unknown :-)
I think a specialized LLMs trained on low-level kernel codebase, and then give it to an agent, deliver it on the cloud (OTA) so it’s not the user to tinker but a service to use is a product waiting for a startup to build 🤞🏼
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I don’t know, but my instinct is most people want to hack in user space not kernel space, so building on top of a stable set of device drivers already optimized for hardware (eg, Linux) and focusing on a hackable “shell” (in the broadest sense of the word) is probably a ton easier than truly making a hackable kernel. But what’s fun with Codex is… who knows? Maybe all these things we previously thought were so hard you shouldn’t touch them, like OS kernels, are less hard? I can’t wait for the AI native Linus Torvalds to make me question all of my assumptions
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I grew up hacking on and building with early open source software - Linux, Apache, GCC. For me, a big part of the culture of open source was people making their software their own.
I have been thinking about open source in the age of coding agents. There is one world where many open source projects become less important because we all independently recreate the functionality with coding agents.
Is there another where open source platforms create an ecosystem with their harness and agentic hackability, like OpenClaw has done? If an open source database or content management system shipped with an exceptional agent harness that made easy to extend and improve with agents, would that make individual developers more inclined to start there rather than start from scratch? Likewise, in the spirit of the hacker culture I grew up with, will power users like me start to seek out systems that are designed to be hackable with agents?
I’d love a desktop operating system that was more hackable by casual users like me - not just the gratuitous window dressing of the early Linux desktop movement, but set of composable graphics and OS abstractions designed to be composed, mutated, and rearranged by an agent.
After 25+ years, maybe this really is the year of Linux on the desktop 😏
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