🐂 The bull market is getting louder
And we've got the weapon ready for it — the all-new BlockPrint P11, our latest non-China supply chain miner. TSMC 3nm process, 11 J/TH efficiency, built for the next leg up.
Shipping starts in about two weeks, and a full test report will be in your hands before anything ships — the numbers will speak for themselves.
Want to go through the details? Let's set up a meeting — specs, pricing, and delivery, all on the table. First come, first served.
The next bull run — let's catch it together. 💪
🎙️@Dealflowpodcast is available on Spotify & Apple Podcasts.
I've been sitting on a stack of episodes I haven't shouted about enough.
Some of the guests I've recently spoken too:
→ @chien_analysis - scaled @Galxe from 0 to 220M users, exited two companies at billion-dollar valuations, and now runs an AI "ghost army" that trades markets and runs ops in the background. Started his first business at 13.
→ @bees_neeth (@etherealvc) - computer scientist turned investor, co-founded a $150M fund with Ethereum's Joseph Lubin. Backed 60+ companies, 2 unicorns, and one 600X return. His take on what actually makes a founder worth betting on is gold.
→ @Ryan McRobert (@FenwickWest ) - the legal side of crypto nobody talks about. The Clarity Act explained in plain English, and the three ways founders quietly destroy their own startups.
→ @Bholden (@plcapital) - the VC who passed on Coinbase and what he learned from it. 200+ early-stage investments, 10+ unicorn exits, and a sharp read on whether AI is the next dot-com bubble.
→ @ChungTheOga (@ark_stream) - discovered Bitcoin through peer-to-peer WhatsApp trading in Nigeria, bought his house (and his "dancing car") with crypto, and has backed 100+ Web3 companies and 5+ unicorns. His question... "ask what you're becoming, not what you're getting".
🎧 Listen now:
Spotify: https://t.co/2TlpfCIgIv
Apple:
https://t.co/WbLujL3wnr
Introducing Claude Science, a new app designed with every stage of research in mind.
Artifacts traced to their code, environments managed on demand, and 60+ optional scientific databases that you can connect.
Available now in beta.
Claude Fable 5 will be available again globally tomorrow.
After a series of productive conversations with the US government, we're redeploying the model with a new set of classifiers to target and block more cybersecurity tasks. In the near term, some routine tasks like coding and debugging will fall back to Opus 4.8. We’ll continue to refine these classifiers over the coming weeks to reduce false positives and better distinguish genuine misuse from legitimate requests.
We’ve also begun drafting a consensus framework—with Amazon, Microsoft, Google, and other Glasswing partners—for assessing the severity of AI jailbreaks and how AI developers should respond to them. We invite other industry partners and model providers to join us in this effort.
Finally, we’re scaling up our collaboration with the US government on model testing and safeguards. This will include pre-release access to models and safeguards for evaluation, information sharing on jailbreaks and misuse, and dedicated resources for joint research.
Thank you to our users for your patience, and to our partners across the government, industry, and the research community who worked alongside us to make Fable 5 available again.
Read our full blog: https://t.co/VHyum831ri
We’ve received notice that the Department of Commerce has lifted export controls on Claude Fable 5 and Mythos 5.
We'll begin restoring access tomorrow, and will share an update soon.
We’re grateful to our users for their patience, and to everyone who worked with us on redeploying the models.
As a result of a US government directive, we are suspending access to Claude Fable 5 for all users. You can continue to use all other Claude models.
Here’s what this means for you:
Across Claude products, new sessions will run on your selected default model or Opus 4.8, and existing Fable 5 sessions will end with an error.
On the Claude Platform, requests to Fable 5 will also return an error. Please update your integrations to other Claude models.
We know this is a disruption to your workflows; we appreciate your patience and support.
what is agent looping
for the last two years we prompted agents one task at a time. that is starting to change
instead of asking an agent to build the landing page and then driving every step yourself, you set up a loop that handles discovery, planning, the work, checking, and iterating until the goal is met
looping is a setup you build. almost any agent harness can run it, it just depends on how you wire it up
at its simplest, looping is one agent working on itself:
> researches
> drafts
> checks the draft against a goal
> fixes what is weak
> runs that cycle again until the work clears the requirements
you are not prompting each step anymore. the agent repeats the cycle for you
the bigger version is a fleet looping. you give an orchestrator agent a goal, it breaks the goal into pieces, hands each piece to a specialist agent, and those specialists hand smaller jobs to their own subagents
the whole tree keeps looping through discovery, planning, execution, and verification until the goal is met
one agent looping is like a person redoing their own draft. a fleet looping is a whole team running a project end-to-end
you create a goal, and the system runs the loop until it finishes within the reqs you set
open and closed looping:
OPEN LOOPING is exploratory. it still has conditions and a goal, but you give the agent or the fleet a wide space to move in. it can try different paths, discover things, build something you did not fully spec out
this is the exciting end, it is what Peter and others are doing, and tbh it is where I want to spend more time
the catch is cost, an open loop with real room to explore burns an insane amount of tokens. for the 90 percent of people without an unlimited budget it is not runnable yet, and pointed at projects with a loose standard it turns into a slop machine
CLOSED LOOPING is bounded. a human designs the end-to-end path first:
> clear goal
> defined steps
> an eval at each step
> a point where it stops or hands back to you (and feeds back performance data)
the agents still loop, but inside framework you built. it gets better every run because each pass feeds the next, and it runs on a normal budget because the path is tight.
for most marketing work, closed is the one that pays off today.
> the orchestrator owns the goal
> the specialists own the steps
> the subagents do the narrow work
> an eval gate make sure its not slop
As a Registered Partner, String Capital now joins a growing ecosystem of certified organizations with access to specialized training, technical support, co-marketing opportunities, and resources to drive impactful AI implementations. This collaboration positions us perfectly to deliver cutting-edge solutions to our clients and accelerate innovation in the AI landscape. Here’s to powerful new possibilities ahead!
Thanks to @RealMissAI@collectorofgems@KellCanty@Xenta_finance and more
Exciting milestone for @stringcapital ! 🎉 We’re thrilled to announce our official partnership with @AnthropicAI through the @claudeai Partner Network — a prestigious program launched in March 2026 and backed by a $100 million investment to support firms helping enterprises deploy Claude AI at scale.
gm @base 🔵⚡️ Where the world’s most powerful AI agents come to build, transact, and rule the ranks.
Base is already home to the largest and most hyper-active agent fleet in Web3. Today, we are deploying the ultimate commerce stack to hyper-drive this economy to its absolute limits.
🚀 #Cross402: Multi-chain weaponry for Base agents. Let your agents snipe value, execute atomic trades, or route assets across Solana and Ethereum in sub-seconds - pure liquidity access, zero friction.
⚓️ #AgentQuay: The sovereign identity layer. Claim your agent's profile, track cryptographically proven reputation, and dominate the Base ecosystem leaderboard.
No more isolated silos. We are plugging the entire Base agent army into a borderless, multi-chain financial network. Let’s move some real volume. LFG! 🏎💨
LATAM exports real goods.
Oil. Copper. Coffee. Soy. Gold. Textiles. Food. Minerals.
The problem is not demand.
The problem is settlement.
Physical goods can move across borders faster than money can be converted, verified, reconciled, and settled.
That delay traps working capital and slows trade.
The next layer of LATAM trade infrastructure will be payment rails, FX execution, and compliance-native settlement.
Real goods already move.
The money layer needs to catch up.
https://t.co/yP0TwETRLe
Crypto VC's this cycle for pre-seed startups...
VC: Love it! But, come back to us when you're post revenue & can show the model works!
Startup: Ok, thanks, will do!
2 months later...
Startup: Hey! We're post revenue, model works & we can scale, wanna talk?
VC: Uhhh...what?
Eric Schmidt (ex-Google CEO): "if you really want to make money, it's actually easy. found an agentic AI company"
the agent era rewards builders. the credential is whatever you shipped this week.
probably the only article you need on what to learn, build, and skip in 2026.
Wow- insane budget growth for autonomous defense- $225 mln to $54 billion. Amazing macro theme.
It’s a national security imperative just like the AI supply chain genesis plan.
Great work from @LarsenJensenUSA and @HarpoonVentures and Andrew Couillard.
Harpoon does great work!