@wsource4i
iAccount based inThailand
About this account
- Account based in
- Thailand
- Connected via
- Hong Kong App Store
Account-level information from X, not a live location or the device used for a specific post.
Good tips always come handy #coldmails
That’s big 👉👉👉
The internet made it possible to know anything. AI makes it possible to do anything. That changes what it means to be educated. And it demands a new kind of institution.
Announcing The Horowitz Andreessen Academy.
In partnership with Anduril, Anthropic, Coinbase, Google, Meta, NVIDIA, OpenAI, Palantir, Replit, Stripe, and more.
Incubated by a16z. San Francisco. Fall 2027.
🔥🔥🔥
Ep6 with #MaiKaneko,
International Development Lead at #DCP, a prominent figure in Japan's #digitalcurrency & #financial landscape. We covered #tokenization #tokenizeddeposits #thefutureoffinance
#shortswithShelly #innovation #techeducation #Japan
Want to know what #FDE really means? Here you go 👉
Every company says they have Forward-Deployed Engineers now.
ElevenLabs CEO and former Palantir Deployment Strategist @mati gives one of the best explanations of what an FDE is—and says companies are missing the key piece of what actually makes FDEs valuable:
“In our case, FDEs are part of the product team. They are not part of the go-to-market team. They are deeply embedded in understanding what the roadmap of the product is.”
“You want all the FDEs to actually solve the customer problem and stretch your product in that direction. But the second thing you want them to do is bring any of that knowledge back to the product, so the product becomes better for the next generation of companies building on top of it. I feel like the second part is frequently missed.”
“The beauty of that is—everybody benefits because you work with one customer, learn, and you bring that into the product experience. Both of those customers benefited from having their product optimized for better work.”
“The domain expertise they have is still theirs. They can win based on their domain expertise. But the product experience of how you build based on that domain expertise can be abstracted, and can be reusable.”
w-source retweeted
RAILGUN already privatizes the stables you hold. DAI, USDC, USDT, any ERC-20.
What @protocol_fx built on top is private issuance: ETH goes in shielded, fxUSD comes out shielded. No public mint.
A dollar that is yours the way cash is yours.
Wall Street is buying privacy from a brokerage account.
The market is finally admitting what cypherpunks have said for 30 years: money that everyone can watch is money that can be used against you.
But there is a question nobody in this trade is asking.
Where is the private dollar?
Because you don't live in ZEC. You live in DOLLARS. You save in dollars, you pay in dollars, you measure your life in dollars. And every dollar onchain today is the opposite of private. Every balance is a public record, sitting under an issuer who can freeze it with one transaction.
We built digital cash, then handed it a surveillance camera and a kill switch.
fxUSD is the answer to that question.
It's the first stablecoin that can be minted privately on Ethereum. Through @RAILGUN_Project and @anondotinc, your ETH goes in shielded and your dollars come out shielded. No visible minter. No public position. No issuer who can freeze it. Hold it, send it, put it to work in DeFi, and never step back into the open.
A dollar that is yours the way cash is yours.
And it lives on the one chain that has actually been through the fire. A nation state sanctioned privacy code on Ethereum. Developers were arrested. Everyone said privacy on Ethereum was finished. The sanctions were thrown out. The code never stopped running. Not for a single block.
That's what a real privacy test looks like. Not a price chart. A government trying to switch it off, and failing.
Ethereum passed it. fxUSD is built on top of it.
You don't have to sell your ETH. You don't have to leave Ethereum. You don't have to choose between privacy and a dollar you can actually use.
The market just figured out that privacy matters. The private dollar is already here.
w-source retweeted
We got an important step closer towards unified liquidity between L2s and Ethereum via @etheconomiczone.
Here is a @CoWSwap trade settled on L2 while using liquidity from L1. Bridging tokens out and receiving other tokens back all happens atomically!
Public testnet soon!
🤖 Made with AI
w-source retweeted
Tempo is compounding very quickly. Seeing a lot of new stablecoin + agent use-cases.
$2B in 30D transfer volume on Tempo and we're just getting started
🔥🔥🔥
Field Station / Rajasthan is open for applications.
One week. A regenerative living project in Rajasthan. Scientists, engineers, cryptographers, and developers building the parallel with @Logos_network and @ZuGramadotorg.
Apply here: logos.co/field-station/
👉👉👉
Replying to @gakonst
w-source retweeted
AI for cyber is about to go vertical. The models increasingly becoming insanely good at finding and exploiting vulnerabilities. Frontier models are ahead, but we’re already seeing that open weights is not far behind.
Most enterprises are already inundated with cyber discoveries, so now that’s only going to multiply. Triaging and automating the fixes with more AI -along with human oversight- is essentially the only way forward.
In case you were wondering what jobs AI was going to create, it’s definitely going to great time to be in security.
As we prepare to release Astra, we’re focused on making increasingly capable AI safe and broadly accessible.
Astra represents a significant advance in cybersecurity capability, reaching the Critical threshold under our Preparedness Framework.
We're previewing how we evaluated the model, how its safeguards have advanced alongside its capabilities, and what we'll continue to learn and improve.
openai.com/index/path-to-ast…
w-source retweeted
AI model-training startup AfterQuery has reportedly raised a round that valued it at $3.2 billion, just five months after announcing its $30 million Series A at a $300 million valuation in April.
spr.ly/6019B17w0b
#Tokenizedstocks recap 👉
👉
Excited to share what we've been working on for a while in stealth with our new neobank mobile experience built on Ethena's existing product set.
This is one of the few product categories that have emerged in the last couple of years that I think has a genuine chance of breaking out of the crypto native user set to hundreds of millions of people.
While some of the existing neobanking products today are impressive, and I personally use a few of them daily, we think the addressable market here is the hundreds of millions of users not already operating onchain which haven't been served yet.
Rebuilding the mobile banking product experience on stablecoin and blockchain rails simply produces a better product experience for users with near instant and zero cost transfers and settlements, higher savings rates leveraging DeFi financial primitives and importantly these products can be global by default almost immediately.
Ethena sits in a unique position as the first scaled dollar issuer vertically integrated with the consumer application experience. If you don't own the yield engine and stablecoin issuance, you are at a structural disadvantage from a revenue perspective to provide the most competitive offering across the entire product suite.
For Ethena, being able to build the direction relationship with end users for our existing savings products, rather than just via exchange and fintech integrations, let's us control the destiny of our distribution channels in a better way than we have to date. We think the neobanking app form factor is the best way to achieve this.
90% of financial services for most normal people is just send, save and spend. We hope Ethena Pay will be the best place for you to do this.
Shelly’s out of visiting @4seasDeSoc #chiangmai
Building #web3 #ai #biotech #desci ?
You might want to check this place 🔥🔥🔥
Sharing about my experience in @4seasDeSoc. You can find more info in here sola.day/event/4seas #shortswithshelly #genz #ChungMai #networkstate #techeducation
👉👉👉
RSI aka fully self training AI is the vision for @Zai_org GLM 6
(OK, it was clarified that CURRENTLY while the latest GLM models are used to train the next generation, there are still plenty of engineers involved making decisions!)
“On the evening of August 31, Zhipu held its 2026 interim results briefing.
At the meeting, Zhipu founder Tang Jie explained the technical positioning and research direction of the company’s next-generation GLM-6.0 model.
He defined GLM-6.0 as “Full Self-Training,” or fully autonomous self-training, a concept also referred to internationally as RSI, or recursive self-improvement. Its defining feature is the model’s ability to “self-purify,” covering the entire process from pre-training and mid-training through post-training, thereby enabling fully autonomous training and self-evolution.
Tang said the greatest challenge of the full self-training paradigm is not simply increasing model scale, but whether the model can exercise independent judgment: determining on its own when to stop training and correcting its own errors. He described this as the central difficulty of the technical approach and a major focus of future model development.
Tang added that future model research would also incorporate considerations relating to ethics and social governance, making them an important part of the technology’s next stage of development.”
w-source retweeted
My conversation with @dougleone, partner at @sequoia.
0:00 How to Dominate for Decades
3:17 Turning Fear Into a Tailwind
5:40 Immigrant Drive, Hard Work & the Beach Club
12:19 Simplifying Life & Choosing Discomfort
14:37 The Homeless Sequoia Partner With No Plan B
16:49 Stepping Down, Coming Back & Starting Over
20:04 Why AI Is Different From Every Previous Technology Shift
22:13 Doug's Three Investment Heuristics
23:52 The Cost of Selling Great Companies Too Early
25:39 Helping Founders Turn Products Into Businesses
28:28 David Vélez, Nubank & the Psychology of Founder Support
32:25 Why Founders Must Remain the Soul of the Company
36:13 Torturing Yourself Into Greatness
39:57 Don Valentine, Succession & the Sequoia School of Hard Knocks
44:28 Staying Grounded & Developing a Sniffer for People
47:46 Hypercompetitive With a Heart of Gold
50:13 Fred Luddy, Israeli Founders & Radical Directness
52:28 Trust Is the Accelerant of Business
59:57 Starting From Zero & Hunting for the Next Great Founder
1:05:59 Architect Your Board Like Your Product
1:10:24 Truth, Disagreement & the Art of Difficult Feedback
1:13:43 Humanity, Introversion & the Value of Relationships
1:18:18 What Doug Learned From Michael Moritz
Includes paid partnerships.
This video is larger than Cloudflare's 512 MB cache, so it can't be played through. More donations are needed to cover a larger cache. Donate
👉
Ten days after launch, @entropyIO's Pre-IPO perp is already the most liquid instrument for Anthropic exposure, with top-of-book spreads consistent at 0.51 bps.
The market has done nearly $90M of volume, pricing Anthropic at a $1.95T valuation.