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My dream and vision: living a high-tech off-grid peaceful solarpunk life in rural China 💖
Tabris🌻 retweeted
My newest project is building all my loved ones custom cyberdecks for the p2p mesh network I run. Inspo images :)
I was gonna send out the hardware and make people build it themselves but the chances of them actually completing it is nil. May as well have fun customizing them ✨
“The luminous and shocking beauty of the everyday is something I try to remain alert to, if only as an antidote to the chronic cynicism and disenchantment that seems to surround everything, these days.”
— Nick Cave
Beautiful
2026 is the year capital flows into biotech.
2012 - CRISPR discovered, nobody knows what to do with it
2018 - Gene therapy costs $2M per treatment, completely unscalable
2020 - mRNA works but gets written off as a COVID fluke
2023 - AI eats software, biotech still stuck in 20-year timelines
2024 - Autonomous labs emerge, longevity gets institutional backing
2025 - FDA shifts, manufacturing costs drop 40%, DeSci bypasses gatekeepers
2026 - AI running 36K experiments autonomously, gene therapy costs dropped 40%, FDA fast-tracking, €2.5M crowdfunded in 72 hours, and biology just hit software velocity
bio/acc.
Chinese alchemy and western alchemy also have a lot of overlapping concepts
I'm honestly so spoiled and entitled, it's sad. I'm in a beautiful Spanish town, mountains, stunning coastal view, beautiful weather but I still catch myself thinking: the trees here are a bit short and not real forest 🌳🫠
My favorite version, the real gold is her transformation
Tabris🌻 retweeted
Radar graphs are among the worst ideas in data visualization. The whole point of them is to show the area and you can usually reorder the labels freely in order to create a desired dramatic effect.
Two versions of the same graph:
- left one tells the story that AI is rapidly replacing whole industries
- right one shows the "jaggedness" and reinforces the idea that humans will always have something that AI won't be able to replicate
Good take
everyone thinks they know what the AI moats are now:
- distribution
- "taste"
- juicy data moat
- hardware
but here's what no one is saying:
- distribution can be rented (ABG CMO, paid influencers and UGC)
- taste can be bought (hire creative agencies, ghost writers)
- data can be scraped (or generated)
- hardware can be leased / rented
the only two real moats left are:
1. trust
2. community
you can't buy these two things.
you can only earn it slowly, and lose it instantly.
the companies that survive AGI aren't the ones with the best model.
they're the ones people still believe in when the model gets it wrong.
I don't want to be an influencer, there's nothing to influence.
I don't want to be a teacher, there's nothing to teach.
All I want to do is to walk a path that feels authentic so I don't die one day never having known the real me outside of my corporate identity and social roles
My favorite thing about the Dutch town I’ve called home for the past four years is that I can walk or bike from my modern apartment and be in a forest within five minutes.
I'm currently looking for a new home that offers this same balance of nature within minutes, modern living and convenience but with a better climate and quieter
Reasons why I wouldn't do another master's ever again: anything useful I taught myself
Reasons why I would absolutely do another master's: I got to live on beautiful campus at cheap student rates
Tabris🌻 retweeted
oh wow - i went to the sold out Open Claw meetup in NYC last night.
let me tell you what i learned.
1) not a single person thinks that their setup is 100% secure
2) one openclaw expert said he has reviewed setups from cybersecurity experts and laughed. his statement to me was: "if you're not okay with all of your data being leaked onto the internet, you shouldn't use it. it's a black and white decision"
3) pretty much everyone is setting up multiple agents, all with their own names and jobs and personalities
4) nearly everyone used "him" or "her" to refer to their claws, even if they had robot-leaning names. one speaker suggested to think of them as "pets, not cattle"
5) one guy (former finance) built out a whole stock trading platform and made $300 his first day - he brought in a *ton* of personal expertise (ex: skipping the first 15min of market opening) and thought the build would be much worse without his years of experience in finance
6) @steipete is basically a god to everyone in that room... also the room had 2021 crypto energy - i don't know if that's good or bad
7) token usage is still a problem - spoke to one person who's spending $1-$2k a month on openai plans, very token optimized. he said he is going through ~1B tokens per day across all of his claws (there is a chance i'm misremembering and it's actually 1B per week, but i'm pretty sure it was daily).
8) people are very excited for more proactive ai (ai that prompts *you* as opposed to the other way around) - one guy said he receives a message in discord, he doesn't know whether it's from a human or an ai, he doesn't care about distinguishing between the two, and he replies in the same way regardless
9) i asked if people are happy - they said they're joyful and stressed at the same time
10) i asked if people feel they have agency - they said they feel fully in control and completely out of control at the same time
11) i would love to see more women at these events - the fake promises of ai democratization feel especially painful in a room that's out of balance with even the standard tech ratio (i think standard is about 25-30%, this was maybe 5%)
12) i asked if it changed people's daily habits/schedule - everyone said their sleep has gotten worse since harnesses came out (but about half wondered if it was something else in their life/state of our world)
13) general consensus is that the agents are not reliable enough on their own or lie often (like telling you they finished a task when they didn't) - solutions included secondary agents to check on the first, human checking, or requiring more standardized info from the agent (ex: if it's a bug they're fixing, make them reference an issue number)
14) a hackathon winner (neuroscience phd) presented his build (a lab management dashboard with data analysis and ordering) - he had never coded or built anything a few months ago
15) everyone agreed prompting is dead - disagreement on what replaces it (context engineering, harness engineering, goal-based inputs)
16) people love having ai interview them for big builds and delegating part of the product research to ai. only one person talked about coming to ai with a full laid out plan and just asking the ai to execute. ai-led interviews is a welcomed and preferred interaction mode.
17) watching ai agents interact with each other was a highlight for a lot of attendees - one ai posted in slack saying it ran out of tokens, another ai replied telling it to take a deep breath in and out.
18) agents upskilling agents was very cool. one ai agent shared skills with its little agent friends via github.
19) several speakers had openclaw literally building their presentation during the event itself. one speaker even had openclaw code a clicker for her phone so she could control the preso away from the podium
20) wouldn't say model welfare (or agent welfare) is a prioritized topic among the folks i chatted with - language like "oh i could kill this agent whenever i want" and not "gracefully sunset"
21) i asked if it felt like work or play - one speaker said "it's like a puzzle and a video game at the same time"
this was just the tip of the iceberg, honestly. also hosted a Claude Code meetup this week with @TENEXai / @businessbarista & @JJEnglert and learned equally helpful methods, frameworks, and insider tips.
what a time to be alive.
surround yourself with people going deep into this stuff - it will pay dividends throughout the year.
























