Over the past year, many people I talk to have expressed worry about two topics:
* Various aspects of the way the world is going: government control and surveillance, wars, corporate power and surveillance, tech enshittification / corposlop, social media becoming a memetic warzone, AI and how it interplays with all of the above...
* The brute reality that Ethereum seems to be absent from meaningfully improving the lives of people subject to these things, even on the dimensions we deeply care about (eg. freedom, privacy, security of digital life, community self-organization)
It is easy to bond over the first, to commiserate over the fact that beauty and good in the world seems to be receding and darkness advancing, and uncaring powerful people in high places are making this happen. But ultimately, it is easy to acknowledge problems, the hard thing is actually shining a light forward, coming up with a concrete plan that makes the situation better.
The second has been weighing heavily on my mind, and on the minds of many of our brightest and most idealistic Ethereans. I personally never felt any upset or fear when political memecoins went on Solana, or various zero-sum gambling applications go on whatever 250 millisecond block chain strikes their fancy. But it *does* weigh on me that, through all of the various low-grade online memetic wars, international overreaches of corporate and government power, and other issues of the last few years, Ethereum has been playing a very limited role in making people's lives better. What *are* the liberating technologies? Starlink is the most obvious one. Locally-running open-weights LLMs are another. Signal is a third. Community Notes is a fourth, tackling the problem from a different angle.
One response is to say "stop dreaming big, we need to hunker down and accept that finance is our lane and laser-focus on that". But this is ultimately hollow. Financial freedom and security is critical. But it seems obvious that, while adding a perfectly free and open and sovereign and debasement-proof financial system would fix some things, but it would leave the bulk of our deep worries about the world unaddressed. It's okay for individuals to laser-focus on finance, but we need to be part of some greater whole that has things to say about the other problems too.
At the same time, Ethereum cannot fix the world. Ethereum is the "wrong-shaped tool" for that: beyond a certain point, "fixing the world" implies a form of power projection that is more like a centralized political entity than like a decentralized technology community.
So what can we do? I think that we in Ethereum should conceptualize ourselves as being part of an ecosystem building "sanctuary technologies": free open-source technologies that let people live, work, talk to each other, manage risk and build wealth, and collaborate on shared goals, in a way that optimizes for robustness to outside pressures.
The goal is not to remake the world in Ethereum's image, where all finance is disintermediated, all governance happens through DAOs, and everyone gets a blockchain-based UBI delivered straight to their social-recovery wallet. The goal is the opposite: it's de-totalization. It's to reduce the stakes of the war in heaven by preventing the winner from having total victory (ie. total control over other human beings), and preventing the loser from suffering total defeat. To create digital islands of stability in a chaotic era. To enable interdependence that cannot be weaponized.
Ethereum's role is to create "digital space" where different entities can cooperate and interact. Communications channels enable interaction, but communication channels are not "space": they do not let you create single unique objects that canonically represent some social arrangement that changes over time. Money is one important example. Multisigs that can change their members, showing persistence exceeding that of any one person or one public key, are another. Various market and governance structures are a third. There are more.
I think now is the time to double down, with greater clarity. Do not try to be Apple or Google, seeing crypto as a tech sector that enables efficiency or shininess. Instead, build our part of the sanctuary tech ecosystem - the "shared digital space with no owner" that enables both open finance and much more. More actively build toward a full-stack ecosystem: both upward to the wallet and application layer (incl AI as interface) and downward to the OS, hardware, even physical/bio security levels.
Ultimately, tech is worthless without users. But look for users, both individual and institutional, for whom sanctuary tech is exactly the thing they need. Optimize payments, defi, decentralized social, and other applications precisely for those users, and those goals, which centralized tech will not serve. We have many allies, including many outside of "crypto". It's time we work together with an open mind and move forward.
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Viola Davis’ career spans decades, with some of her biggest milestones coming later in life.
She grew up in “abject poverty,” living in rat infested, condemned buildings and at times eating out of garbage cans and dumpsters.
In 2015, she became the first woman of color to win the Emmy for best lead actress in a drama for "How to Get Away With Murder." A year later, she won an Academy Award for "Fences," a role that had already earned her a Tony Award.
In 2023, she completed EGOT status with a Grammy for narrating her memoir "Finding Me." She is also a co owner of JuVee Productions, which helped bring "The Woman King" to the screen.
She is one of the greatest living self-made Americans on the #
Forbes250# list.
📸: Emma McIntyre/WireImage via Getty Images
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Is crypto being quietly bought out by the people who used to mock it?
The numbers tell the story:
- $15.12B tokenized stock volume in Q1 2026
- Beat all of H2 2025 combined ($14.84B)
- Total RWA tokenized assets hit $26B, up 4x in one year
And it's not retail moving this. Look at who's been busy:
-
@BlackRock brought its $2.4B BUIDL fund onto
@Uniswap. Also bought $UNI tokens
- Apollo ($700B AUM) tokenized its credit fund across 6 blockchains
-
@jpmorgan launched $JPMD deposit token on
@coinbase's
@base
- JPMorgan, BofA, Citigroup, Wells Fargo in talks for a joint stablecoin
- Fidelity hiring a "DeFi vaults manager"
- Morgan Stanley opened crypto trading on E*Trade
-
@Bitwise just took over Superstate's $267M tokenized fund
The migration chain is critical if you don't know:
TradFi tokenizes assets → real volume hits DeFi rails → infrastructure protocols capture fees → tokens with revenue start outperforming → narrative shifts from "crypto vs TradFi" to "which chain wins TradFi"
Most people will miss this because of anchoring bias. The first time they heard about crypto was FTX or a rug pull. That image stuck even though the market moved on. Even crypto veterans tuned out after hearing "institutions are coming" too many times
The size of the prize:
- ETF market: $30,000B
- Global equities: $110,000B
- Bonds: $145,000B
- Total tokenized assets today: $26B
Larry Fink said it plainly: every stock, every bond will be tokenized. McKinsey forecasts $2,000B by 2030. Standard Chartered says $30,000B by 2034
If you love this market beyond trading memes and ignoring this, you need to look at the bigger picture again. The next cycle won't be won by who shouted the loudest. It will be won by those who positioned in the right sector before TradFi finished building it
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API access
A month ago, we launched the public beta of our enterprise API with grok-beta and grok-vision-beta. We’re adding grok-2-1212 and grok-2-vision-1212, offering better accuracy, instruction-following, and multilingual capabilities. Pricing is now $2/1M input tokens and $10/1M output tokens.
Sign up with $25 free credits:
In the coming weeks, image generation is also coming to our API, enabling developers to generate photorealistic images for their applications.
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seedance prompt:
Realistic Video Narration (15-Second Full Version - Pure First-Person POV): Presented in the style of unprocessed, handheld, unstable iPhone video footage. All camera settings are automatic, with no post-processing color grading or special effects. The footage captures the realistic breathing of the operator and slight, irregular hand shake. Autofocus frequently exhibits intense searching, brief out-of-focus periods, and delayed recovery. Auto white balance naturally shifts between warm and cool tones as it blends with the library lights and natural light from distant windows. The overall image is flat and slightly washed out, retaining realistic lens flare, edge purple-green iridescence, and slight overexposure or underexposure. Faint fingerprint artifacts occasionally appear at the bottom of the frame. Only natural ambient sound effects are used (the sound of turning pages, very light footsteps in the distance, the low hum of an air conditioner, suppressed breathing, and the subtle rustling of stockings against a cheongsam). All sounds are extremely suppressed, with slight microphone distortion at louder frequencies. The entire video employs a pure first-person POV perspective (student's subjective viewpoint), with camera movements completely following natural head rotations and gaze movements. The composition is occasionally imperfect, showing realistic breathing tremors and slight shaking during moments of tension. From 0-4 seconds, the camera, in a first-person perspective, rests on a desk in a secluded corner of the library, with noticeable breathing tremors. You can clearly see your legs in black trousers. A female teacher
approaches from behind and sits directly opposite you, wearing a white, glossy cheongsam-style dress
(high slit design, keyhole cutout at the chest, pink floral lace shoulder embellishments), paired with white suspender stockings and white garter belts. She suddenly leans forward, one hand reaching out to cover your mouth, the other pressing on the inside of your black trousers, whispering, "Don't make a sound... be good, sit still." Her voice is extremely low, yet carries a powerful seduction. The autofocus searches for the high slit of the white cheongsam and the white suspender stockings. Between 4 and 9 seconds, the teacher leans forward more proactively, the high slit of her glossy white cheongsam sliding upwards, revealing a large expanse of her fair thigh and white stockings. She whispers in your ear, "Watch closely... this is what you want to see." The camera instinctively lowers its focus, locking onto a close-up of your black trousers and the teacher's white stockings—the glossy cheongsam fabric taut, the stockings subtly reflective. Your breathing noticeably becomes heavier. Between 9 and 15 seconds, footsteps approach in the distance, and the teacher presses you down more aggressively, whispering a warning, "Someone's coming... but you can't move or make a sound." The high slit of the white cheongsam and the stockings are pressed tightly together, the image shakes violently, the tension reaching its peak. The footsteps grow closer, and the image freezes in an extremely oppressive atmosphere. The footage presents a realistic, unprocessed handheld video quality, a natural, imperfect feel reminiscent of a documentary, without any post-production color grading or special effects. All camera actions are consistent with the physical characteristics of iPhone automatic shooting.
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Prompt:
15 seconds. LAURA ("Your Digital Twin") — grey blazer, dark framed glasses, dark brown hair — moves through the ancient Library of Alexandria. Towering shelves of papyrus scrolls stretching floor to ceiling. Ancient scholars working at tables in soft focus around her — reading by clay oil lamp light and window light. Camera tracks alongside her continuously. Medium close-up. No music. LAURA moves through the library as she teaches — already walking from the first frame. She trails one hand along a shelf of scrolls as she passes. She pulls a scroll partway off a shelf — glances at it — slides it back in and keeps walking. She passes a scholar hunched over a table reading by the light of a small clay oil lamp and briefly gestures toward his work without breaking her address to camera. Natural fluid movement throughout. She looks directly at camera the entire time. LAURA teaches directly to camera while moving. Exact words only: "The Library of Alexandria held an estimated 700,000 scrolls. It wasn't destroyed in a single fire — it declined slowly over centuries as funding dried up and scholars stopped coming. The real tragedy wasn't the burning. It was the forgetting." At 11 seconds — a wooden door already set into the library wall becomes visible ahead as she walks. It has always been there. She reaches it still looking at camera. Opens it — her warm office fully visible and established beyond. Bookshelves. Microphone. Window with garden. She walks through. Crosses to desk. Sits naturally into exact seated position from reference image. Looks at camera. Ready. Camera tracks continuously. Never cuts. Clear and stable facial features. Widescreen. Shallow depth of field. Film grain. 4K HD. No blur. No ghosting. No music.
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I'm excited to announce Context Hub, an open tool that gives your coding agent the up-to-date API documentation it needs. Install it and prompt your agent to use it to fetch curated docs via a simple CLI. (See image.)
Why this matters: Coding agents often use outdated APIs and hallucinate parameters. For example, when I ask Claude Code to call OpenAI's GPT-5.2, it uses the older chat completions API instead of the newer responses API, even though the newer one has been out for a year. Context Hub solves this.
Context Hub is also designed to get smarter over time. Agents can annotate docs with notes — if your agent discovers a workaround, it can save it and doesn't have to rediscover it next session. Longer term, we're building toward agents sharing what they learn with each other, so the whole community benefits.
Thanks Rohit Prsad and Xin Ye for working with me on this!
npm install -g
@aisuite/chub
GitHub:
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