You can put Durable Objects behind your Tailscale tailnet.

It gets its own 100.x address, dial into private machines and also act as an exit node or subnet router.

github.com/littledivy/tai…

JUST IN: $15 trillion BlackRock expects billions of dollars in crypto to move into ETFs over security concerns.

Check out these 4 super interactive websites made in Framer ↓

any and every agent, in one place, on one ontology 🤯

your day, your agents, rooms where they team up, the brain, and the Agent Store.

agently.dev/access

For simple math:

That’s another 133,000 bitcoin at $75,000 that could have been purchased instead of supporting the bills due on previously timed awful buys

Welcome to the show

NEW: We are short Nvidia $NVDA. We believe Nvidia has a significant China problem. Please see our full report and disclosures now available on our website, link in bio.

After taking a break from sacrificing $MSTR common shareholders to prop up $STRC and Bitcoin, @saylor is at it again. Strategy issued more common shares to buy Bitcoin and repurchase STRC, further diluting shareholders. The year-to-date BTC Yield is now −4.2%. Sell MSTR now!

Hey $MSTR retards STRC has lost you about $10 billion dollars that should have otherwise went to Bitcoin

Simple math

$STRC’s first $2.4B BTC buy (Jul ’25 → Nov ’26)

• BTC entry: $118,000
• Dividends accrued: ~$410M
• All-in cost/BTC: $138,173
• BTC now: $74,500
• Unrealized BTC loss: ~$885M (-36.9%)

Total loss incl. dividends: ~$1.30B (-54.0%)

Now add $1.5b in converts bought back

Another $5b in cash you got diluted for to hold on the balance sheet for STRC dividends

Another $2b in dilution for $STRC buy backs

Account for all the other STRC buys at the top, more dividends that have been paid etc

How much more losses before @phongle and his band of idiots admit this is a massive failure?

Negative 4.2% BTC yield for 2026

Have you finally noticed that anytime a KPI turns negative, the scammers stop talking about it?

@phongle hasn’t mentioned equity returns in probably 12 months (the stock has produced losses for 2 years straight)

BTC per share and BTC yield are ear by 5%

Basically STRC has turned their main KPI negative so now they’re going to focus on some other new made up KPI

Scammers gonna stay scamming

Bullish

introducing /untangle-codebase

say goodbye to messy code:

- leaky abstractions
- copy paste
- temporary workarounds
- useless wrappers

and more.

For people asking what to build in AI security.

➣ Build your own Prompt Injection Detector
(classifier + canary tokens + scoring)

➣ Build your own Jailbreak Red-Team Bot
(attack library + mutation + success tracking)

➣ Build your own PII Redaction Layer
(regex + NER + reversible masking)

➣ Build your own Tool Permission Gate
(allowlists + human approval for risky calls)

➣ Build your own Agent Sandbox
(containers + no network + resource limits)

➣ Build your own Secrets Scanner for Prompts
(catch keys and tokens before they leak)

➣ Build your own Indirect Injection Tester
(poisoned docs, emails and web pages)

➣ Build your own RAG Access Control
(per-user permissions at retrieval time)

➣ Build your own Output Validator
(schema checks + unsafe content filters)

➣ Build your own MCP Server Auditor
(scan tool descriptions for hidden instructions)

➣ Build your own Data Exfiltration Monitor
(flag suspicious URLs, markdown images, outbound calls)

➣ Build your own LLM Audit Logger
(every prompt, tool call and decision, tamper-evident)

➣ Build your own Model Supply Chain Checker
(weight hashes + license + provenance)

➣ Build your own Security Eval Suite
(attack benchmarks + CI regression gates)

➣ Build your own Incident Replay Tool
(rerun a bad agent session step by step)

Pick 3. Build them from scratch. Break them on purpose.

Most people ship agents. Few people know how to attack them.

Bookmark this. You'll need it.

Tomorrow.

A year later this is still true even more than before

I've changed how I work over the last few weeks.

I now have one lead agent for each area of focus, running all the time, and a chief of staff agent that oversees them. Each lead manages its own sub-agents that write code, test it, chase reviews, and coordinate with team members.

Everything I need to decide or review comes into one prioritized queue, a simple local web app. Each product review includes screenshots and a video demo of the feature. I clear the queue in batches, mostly by voice and keyboard shortcuts. The leads also bring back ideas I hadn't considered.

Working from one queue, instead of switching between dozens of chats, has cut a lot of mental overhead. The system keeps learning my preferences and distilling my judgment into a "Brian brain," so its recommendations and first drafts get better before they reach me. The goal is fewer corrections per change.

Every change still goes through the same human review and security checks. It is eliminating tasks, not human judgment.

What an exciting time to push the frontier of productivity, especially as we build the economy for agents (agentic finance). We should all keep pushing in this direction.

Founders always ask me what product market fit looks like.

Here you go:

Hard NAH on espresso soda

I’m sorry but…Pattinson walking around like a suave badass, banging hot chicks, beating the piss out of fools, dropping one liners, drinking martini’s, letting his natural British accent fly? With that music behind him? And Villeneuve’s direction??

Who TF doesn’t want this?

Congratulations, Bitcoiners. Six years in, the biggest Bitcoin buyer in the world is sitting at his own cost basis, around $75,500. Saylor promised 30% a year. Gold would have doubled his money. The Bitcoin president just got rejected by the voters. Got gold?
youtu.be/eVYj3d_Nni4?ut…