SFDP’s new rules mean our time in the program is up.
We’ve run the same Solana validator since Tour de Sol, before mainnet. We’re independent, with no outside funding. We were an early adopter of Firedancer, genesis validator on the Alpenglow community cluster, we host and participate in the monthly community validator calls and governance sessions regularly, and we build tools for other validators to use.
The SFDP stake is just under 15% for us, but in a market this tight losing it makes it harder to continue to make the contributions that we're making.
If the goal is network health, keep backing the operators who deliver it, rather than retiring them on a fixed schedule. The open letter sets out the asks, and we support it:
What should you stop building when AI lets you build more?
This week, we had @Raj_TheBUIDLer on the show. He leads product at @ionet, where the team serves about 20 billion tokens a day through OpenRouter.
We talked about the choices behind an AI product. When is an open model good enough? What makes a frontier model worth paying for? And does adding another agent actually help the user enough to justify its cost?
That led to a conversation about how the PM role is changing, especially when a team can build far more than it should ship.
We also covered confidential computing for banks and hospitals, whether compute futures make sense for startups, and what might come after LLMs.
And yes, coffee came up. Raj uses it to explain why compute is harder to standardise than it looks. The machine matters, but so does where and how you run it.
Full episode out now👇 w/ @Diksha_ds and @sofiaunchained
And @ChainflowSol was there, just like we were for the original genesis block on March 16, 2020
While a lot has changed since then, we're
Still here
Still contributing
Still independent
🌞
new paranoia levels unlocked this week:
🔓 bad drones
🔓 supermarket hacker attacks
🔓 https and most of the cryptography we use are cooked (thanks, LLMs)
🔓 hardware wallets sold compromised by official distributor
it's only tuesday ffs
people still don’t get that in the age of super intelligence, your work has to be both great and fast.
i see so many people take 3 days to ship something mid, when AI could’ve made it great in like 10 minutes, and a lot of that is showing up in the AI layoffs.
AI may or may not take your job, but you’re definitely handing it over on a platter.
NEW EPISODE: Models are getting cheaper and more alike, so the real money isn’t in the model itself.
@quxiaoyin broke down why selling “AI skills” doesn’t work, why your prompts and corrections are actually worth something, and the only two business models that seem to be working right now.
The full interview on YT: https://t.co/CPWYzdxncY
. @quxiaoyin was a PM at Meta in 2015, when it was the company everyone wanted to work for.
She later dropped out of Stanford to start Run The World, a virtual events platform that raised $15M from a16z, Founders Fund, GGV and Pear, powered 50,000 events and was acquired by EventMobi.
She says Meta is back, and that Muse could be its biggest win since WhatsApp.
She is now the founder of @agentsky_dev, a marketplace for AI agents. She joined @sofiaunchained and @Diksha_ds on TAS and, and we covered:
- AI models are getting cheaper and more alike, so what still makes money
- Why selling AI skills doesn’t work
- Who will build the best agents two years from now
- Why your AI prompts and corrections are worth money
- Why clean data alone won’t fix enterprise AI
- The only two business models working in AI today
- Why a personal AI assistant has to be free, and who can afford that
- How Muse is cannibalizing Google’s search ads
- Whether training on another lab’s model is wrong
- Why companies won’t pay 100x for similar AI
Tune in…
. @quxiaoyin was a PM at Meta in 2015, when it was the company everyone wanted to work for.
She later dropped out of Stanford to start Run The World, a virtual events platform that raised $15M from a16z, Founders Fund, GGV and Pear, powered 50,000 events and was acquired by EventMobi.
She says Meta is back, and that Muse could be its biggest win since WhatsApp.
She is now the founder of @agentsky_dev, a marketplace for AI agents. She joined @sofiaunchained and @Diksha_ds on TAS and, and we covered:
- AI models are getting cheaper and more alike, so what still makes money
- Why selling AI skills doesn’t work
- Who will build the best agents two years from now
- Why your AI prompts and corrections are worth money
- Why clean data alone won’t fix enterprise AI
- The only two business models working in AI today
- Why a personal AI assistant has to be free, and who can afford that
- How Muse is cannibalizing Google’s search ads
- Whether training on another lab’s model is wrong
- Why companies won’t pay 100x for similar AI
Tune in…
JUST IN: 76% of CEOs think AI will change their industry more than anything else in the next three years, according to @Gartner_inc
Gartner says companies often fund the technology and ignore the workforce, which wastes the spend and stalls adoption.
In its example heat map, workslop (low-quality AI output) is the risk that lands in the critical zone and goes to the board.
Full article: https://t.co/mgojRqqi4Q
NEW: Wikimedia Foundation confirmed OpenAI's AI agents made unauthorized test edits to wikis, targeted a citation tool as a possible proxy to pull external data, and tried to compromise its public Etherpad tool.
Massive automated crawling and API requests may have contributed to a May 2026 partial outage of the Wikidata Query Service.
Meanwhile, ships are sinking in our own economic zone. Crew missing. Bulgaria's Prime Minister official line is still “unclear who did it,” and NATO consultations are off the table because the water is "technically neutral". Proud week for Bulgarian science, less proud week for Bulgarian security.
P.S. OSTAVKA, PB!
My proud Bulgarian moment of the week: @OpenAI chose prof. @mvechev, the @INSAITinstitute founder, to join a select group of leading international researchers testing and evaluating a new watermarking technique for AI-generated text.
most AI tools in marketing solve one task at a time e.g. copy, images, and teams end up with disconnected pilots.
the fix starts with mapping the work and the systems it runs on https://t.co/Wb5HHsCMCM
People hold losing trades for months waiting to break even, and close winning ones in days.
that's from Guy Barkat, who spent 8 years at @eToro going from data analyst to leading API partnerships, watching how 30M+ users actually invest.
Guy came on the show and broke down a few things worth sharing:
- AI is making sophisticated investors more sophisticated. Institutional-grade research used to need an army of analysts, and now one person with the right workflow gets close.
- They launched isolated agentic subaccounts, so you can let an AI manage a slice of your money without touching the rest. You can also connect your account to ChatGPT, Claude or Grok and manage it in plain language.
- And on hiring, Guy says the skill he screens for hasn't changed. judgment. shipping became cheap, so knowing what to ship is the whole job now.
full episode below 👇 w/ @sofiaunchained and @Diksha_ds
worth it if you build fintech products or just want to know where AI investing is actually at
People hold losing trades for months waiting to break even, and close winning ones in days.
that's from Guy Barkat, who spent 8 years at @eToro going from data analyst to leading API partnerships, watching how 30M+ users actually invest.
Guy came on the show and broke down a few things worth sharing:
- AI is making sophisticated investors more sophisticated. Institutional-grade research used to need an army of analysts, and now one person with the right workflow gets close.
- They launched isolated agentic subaccounts, so you can let an AI manage a slice of your money without touching the rest. You can also connect your account to ChatGPT, Claude or Grok and manage it in plain language.
- And on hiring, Guy says the skill he screens for hasn't changed. judgment. shipping became cheap, so knowing what to ship is the whole job now.
full episode below 👇 w/ @sofiaunchained and @Diksha_ds
worth it if you build fintech products or just want to know where AI investing is actually at