Digital Wayfinder: emerging tech + culture | đŸ€– Building in public w/ Grok @Bot + @NotionHQ | 🚀 3x founder, advisor, author | 🔬#ai #siloxane #conscioustech

đŸ‡č🇭 CNX / 🇾🇬 SIN
Been noticing behavior shifts the more I work with Grok @bot + @NotionHQ. First, I created a new Notion Workspace just to test things out with Grok Bot. Second, the Notion Workspace then became the "source of truth" for my other agents, very quickly. Third, the instructions here (developers.notion.com/prompt
) ended up becoming super useful for refining the Agents coordination skills. Fourth, I'm getting the hang of Bot-based coordination (with trusty Notion dbs in the bg). Since my Chief of Staff knows to default logs to Notion (instead of its own computer), it seems to have made things better for review back and forth. Fifth, my bots are organized via the 1:3:5 rule of Conscious Stack Designℱ. So our community gets to see how our framework is applied across anything (including bots).
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Siosi (Si-O-Si) retweeted
grok @bot pages are extremely powerful heres a landing page for itself, built with pages olive-tundra-5rn36t.pages.gr

Grok Bot can now build reports, memos, and dashboards. Ask Bot for a page, then edit it together or have Bot keep it up to date.
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The fundamental chemistry of the digital age (Silicon) requires a human, molecular bridge (Oxygen) to align properly with "Superintelligence" (SI). Si -> SI Si -> O -> SI
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Siosi (Si-O-Si) retweeted
A year ago this month, I canceled my Claude and ChatGPT subscriptions. Not because they’re bad. But because I could see where things were heading. Most of what I do now happens inside @NotionHQ, defaulting to open Chinese models like @deepseek_ai (right inside Notion) for most tasks. @bot has become a trusted partner, but always with Notion as the anchor.
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Definitely feeling the Grok speed and accuracy. Noticing better topic alignment in my feed, as well as older posts still keeping engagement days later.
What's new in Grok Bot 00:00 New chat cards 00:31 Speed 00:53 Draft edits 01:08 Email aliases 01:33 X DMs 01:55 Tag @bot 02:31 Connectors 02:48 Voice calls 03:27 Notifications 03:56 Invites and Android Assistant 04:19 Access lists, unread, routines, sign-in This team ships!
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Siosi (Si-O-Si) retweeted
Sneak peek 👀
prffff, ayer me montĂ© en Notion en media hora una vista personalizada de mis tareas en modo time-boxing y estoy encantada y ahora solo quiero construir my own version de cosas en todas partes đŸ„č (si, esto es Notion đŸ˜±)
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Siosi (Si-O-Si) retweeted
Notion is the new Cursor
The latest Notion AI is a beast. It'll work harder, better, faster, and cheaper than before. Here's a quick glimpse at how I use it (including... coding).
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Siosi (Si-O-Si) retweeted
Meet Auto, our upgraded model router 🔀 Frontier quality at 90% lower cost. It matches each task to the right model, balancing quality, speed, and cost. And if it gets stuck, it changes course.
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I just use @NotionHQ as the anchor/harness for my stack. Don’t have to deal with these problems as much. I think the problem is that people don’t realize that making of some of these model-based harnesses their “anchors”, puts them at the wrong layer. Whatever anchor/harness you choose, it needs to be model agnostic.
Every time you switch from Claude Code to Codex because you ran out of tokens, you start over and explain your whole project again. Beacon is trying to fix that. It saves your sessions across Claude Code, Cursor, Codex and 20+ other tools, so one command hands the work to the next agent with everything it learned. It's open source, and they just raised $5.5M. Your fixes and debugging habits stay with you instead of getting locked inside one company's tool. How many times this week did you re-explain the same project to a different AI? github.com/Asymptote-Labs/ag

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Siosi (Si-O-Si) retweeted
The new agent capabilities in 65 seconds. From the master, @ryannystrom himself.
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I wonder why loyalty benefits don't exist for SaaS companies? Especially in today's environment. For example, I've been with @NotionHQ since 2014. LTV should be super high. I see all these startup credits for newcomers. But no love for those who've been around since the early days. This isn't exclusive to Notion. Just made me realize why people switch so easily. If a company doesn't reward loyalty from customers, no loyalty will be shown back when new competition arrives.
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“Two labor-saving machines, two very different questions: where Aristotle wondered what automation would do to the social order, the Zhuangzi wondered what it would do to us, on the inside.”
This is perhaps one of the great ironies of our time: China is increasingly shaping the future of AI, yet very few people in the West have the faintest idea how its key thinkers see it - its philosophers, sociologists or ethicists. As is too often the case, we - much like the frog in the well - assume our own AI debate covers every possible view, when much of it springs from the same cultural soil, built on assumptions about what defines us that we don’t even know we’re making. Take for instance the assumption that intelligence is a key part of what makes us human. It’s so intuitively obvious to us that we literally named our species after it - Homo sapiens (Latin for "wise man"). If you think about it, just this assumption explains a large share of the anxiety: if intelligence is what makes us human, then artificial intelligence - or super intelligence - threatens the very thing that makes us us: we’re about to compete with artificial or super “us”. No wonder this feels existential. But China has a tradition of thought as old as ours, if not older, and every bit as rich and sophisticated, which never placed intelligence at the core of what makes us human, and so meets the thinking machine from a completely different starting point. Have you, for instance, ever heard of Zhao Tingyang? Probably not, and yet he may be the most original thinker on AI you’ve never read. He’s one of China’s most prominent philosophers, at the Chinese Academy of Social Sciences. While Silicon Valley spends billions trying to make AI share our values, he for one argues that doing so “may very well be a suicidal mistake”. Sounds pretty important to hear him out, don’t you think? Or take Liu Yongmou, a philosopher of technology at Renmin University in Beijing. His thinking is almost the opposite of ours. Where we fear machines that become more and more like us, he says that “humanity’s biggest problem is the machinization of humans, not the humanization of machines.” You could even go back to antiquity, when, in many ways, we started asking questions about AI. Did you know, for instance, that Aristotle, in the Politics, imagined a world where “the shuttle would weave and the plectrum touch the lyre without a hand to guide them”, and wondered about the social order consequences of this (mostly whether slaves would still be needed)? There are Chinese equivalents to this. For instance, in the Zhuangzi, a foundational Taoist classic, you’ll find a similar thought experiment, with a completely different worry attached. An old gardener is watering his vegetables by hand, hauling water out of a well jar by jar. A visitor shows him a labor-saving device, and the gardener turns it down for the reason that whoever uses machines ends up with æœș濃 (jÄ«xÄ«n), a “machine-heart” - a mind that schemes, calculates and loses its simplicity. “It is not that I do not know [the machine],” he says, “but I should be ashamed to use it.” Two labor-saving machines, two very different questions: where Aristotle wondered what automation would do to the social order, the Zhuangzi wondered what it would do to us, on the inside. Which, you’ll notice, is exactly Liu Yongmou’s worry, more than two thousand years earlier. In fact, as we’ll see, 濃 (xÄ«n), the heart, is a motif that runs deep through the Chinese AI debate. It appears both in the fear, from Zhuangzi to Liu Yongmou, that machines could give us a “machine-heart” and its mirror image: the ambition to give machines a heart of their own. Zhu Songchun, who heads the Beijing Institute for General Artificial Intelligence, wants “to set a heart for machines” (äžșæœșć™šç«‹ćżƒ, wĂši jÄ«qĂŹ lĂŹ xÄ«n). “Heart” in the Chinese sense, that is, which differs totally from the Valentine's Day fluff we’ve reduced it to. 濃 (xÄ«n) means heart and mind at once: it’s where we feel but also where we think, tell right from wrong and care for others. And, crucially, it’s in the heart that the quality Confucianism sees as the very definition of a human being takes root: 仁 (rĂ©n). We need two words to translate it, “benevolence” and “humaneness”, but in Chinese they’re one and the same: to be benevolent is to be human. It’s not about intelligence. This is the entire point of my new article: to step out of our well for a moment and peer over the edge of China's. What you’ll find there will, I think, surprise you, with questions you’d never thought to ask: from Zhao Tingyang warning that AI’s bad consequences can at least be fought, but that “humanity may die of all the good things AI creates”, to whether the fear that AI will make us “useless” rests on the false premise that a person is worth what they’re useful for. A premise that a 2,300-year-old Taoist tree, which survived precisely because it was useless, demolished long ago. Could our predicted uselessness turn out, much like that tree’s, to be our saving grace? Chinese thinkers’ answers to these questions are, I think, among the most interesting anyone has given to the defining question of our time. Whether or not you agree with them, they’re the intellectual backdrop of a country shaping much of AI, and with it our future: you might as well know what they think. Enjoy the read here: arnaudbertrand.substack.com/

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Siosi (Si-O-Si) retweeted
Replying to @SAGE_ships
You can’t copy trust. You can’t copy a server. You can’t copy proprietary data. There’s still a moat. Just not for wrappers with 90% margins.
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Siosi (Si-O-Si) retweeted
State machines existed for a reason. The rise of Jev has just shown us what we already know -- determinism is in again. LLM's need not make us forget that deployable software has a place. It's cheaper, higher quality, and faster. Ship was a great chance for us to collaborate with @vercel and promote that narrative. @rauchg , keep selling 'em CPUs.
Notion AI lead @sarahmsachs argues that a lot of what runs on GPUs today should actually run on CPUs: "We have a strong perspective at Notion that a lot of things should be served on CPU that are served on GPU. There’s a lot of benefit and determinism in executed code." "Agents don’t need LLMs to reinvent that process every time, and that’s super token exhaustive, it’s super slow, and there’s no observability or determinism in it." "Giving the agent a local file system to store local thoughts, to write short Python scripts, that’s really important when there’s so much information. That has been probably one of the most important tools outside of edit and search that our internal agents rely on." @NotionHQ
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Huge @NotionHQ update! BYOKs now? Computer Use? Noice 👌
Big update today: We've meaningfully upgraded our AI capabilities inside Notion. You can now do much more complex things (computer + browser use!), let the AI run much longer (up to 24 hours!), and do all of this in a much more secure setup. We've also overhauled our pricing and packaging. Instead of having different products on different versions of our plans, all AI capabilities now run on credits. The vast majority of you will never have to think about credits because a) you'll have plenty to use each month, and b) the new auto-mode makes things an order of magnitude more efficient. Our most advanced users will now have the flexibility to choose the best intelligence-to-price option. This includes bringing your ChatGPT subscription, using your own tokens (via BYOK), leveraging MCP, or buying credits from us (only when the math makes sense!). The credit model is similar to what several other companies (Anthropic, OpenAI, Cursor) have adopted over the past year. We're adopting it today so we can keep bringing you the most advanced AI capabilities while giving you more control over what you use and what you spend. I shot a quick video to explain all of this, and I'll be on the Twitters all day answering your questions:
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Siosi (Si-O-Si) retweeted
Been noticing behavior shifts the more I work with Grok @bot + @NotionHQ. First, I created a new Notion Workspace just to test things out with Grok Bot. Second, the Notion Workspace then became the "source of truth" for my other agents, very quickly. Third, the instructions here (developers.notion.com/prompt
) ended up becoming super useful for refining the Agents coordination skills. Fourth, I'm getting the hang of Bot-based coordination (with trusty Notion dbs in the bg). Since my Chief of Staff knows to default logs to Notion (instead of its own computer), it seems to have made things better for review back and forth. Fifth, my bots are organized via the 1:3:5 rule of Conscious Stack Designℱ. So our community gets to see how our framework is applied across anything (including bots).
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Siosi (Si-O-Si) retweeted
DeepSeek-V4.1-Flash-1017 is such a massive leap forward that it honestly deserves to be called V4.5. Yet they just slapped a date tag onto 4.1 like it is some minor bug fix. At this point, you can run almost anything you need a frontier model for right at home on your own hardware.
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Siosi (Si-O-Si) retweeted
Computer Use inside @NotionHQ? 👀 Only thing now is better token management for custom agents inside of Notion. I may still keep a Grok @bot + @X + @cursor_ai super pass subscription. For my personal tech stack, I think my Western picks are settling around Notion (harness) + Grok (agents).
🖍NotionAIがGrokbotćŒ–ă—ăŸïŒïŒïŒïŒ ïŒˆăƒ–ăƒ©ă‚Šă‚¶ă«ă€ă„ă«ăƒ­ă‚°ă‚€ăƒłă§ăă‚‹ă€ă€ă€ïŒ‰
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