David Markley

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David Markley

David Markley

@dbmarkley

Building @yieldpointcap & tinkering w. ai x @algorand, @HivemindCap, @carbonb1ack; @masschallenge alum

Katılım Şubat 2021
576 Takip Edilen668 Takipçiler
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David Markley
David Markley@dbmarkley·
After spending time with clients and partners, the constraint is clear: the system is starved of high-quality collateral. Meanwhile, perpetuals are becoming the core financial layer, concentrating liquidity and streamlining access to leverage. Unity is built to sit at that intersection🐕
YieldPoint@YieldPointCap

The hunt is on. XSY is becoming YieldPoint. yieldpoint.io We’re now expanding beyond a single product and a single chain, toward a platform designed to deliver credible yield opportunities across markets, assets, and ecosystems. We’re marking this shift, from beta to production, from product to platform, with a name that reflects that direction. @yieldpoint/yieldpoint-where-yield-becomes-collateral" target="_blank" rel="nofollow noopener">paragraph.com/@yieldpoint/yi… Because once yield becomes reliable, it stops being a trade. It becomes the foundation capital can build on. 🧵

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David Markley
David Markley@dbmarkley·
@bcherny How does credential sharing work? Can you create ephemeral credentials, à la 1Password, for Claude?
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Boris Cherny
Boris Cherny@bcherny·
We're launching Claude Tag today. Tag Claude into Slack and it works in channel with you. It’s proactive, multiplayer, with its own identity and memory. But it’s not just a bot in Slack. Over the last few months, it’s totally changed how we use Claude
Claude@claudeai

Introducing Claude Tag, a new way for teams to work with Claude. In Slack, Claude joins as a team member with access to the channels and tools you choose. Tag Claude in and delegate tasks to it while you focus on other work.

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Andrej Karpathy
Andrej Karpathy@karpathy·
This is a new paradigm for interacting with Claude that is significantly more "inline" with all the other human activity org-wide. Once you do all of the under the hood engineering work to make this "just work" (e.g. across tools, integrations, compute environments, memory, security, etc.), Claude basically joins the team in a seamless way - you can talk to it as you would talk to a person and it can help with a very large variety of workloads. Imo this is the 3rd major redesign of LLM UIUX. The first paradigm was that the LLM is a website you go to, the second was that it is an app you download to your computer. This third one is that it is a self-contained, persistent, asynchronous entity with org-wide tools and context, working alongside teams of humans. It really takes a while to wrap your head around it, but it works and it is awesome.
Claude@claudeai

Introducing Claude Tag, a new way for teams to work with Claude. In Slack, Claude joins as a team member with access to the channels and tools you choose. Tag Claude in and delegate tasks to it while you focus on other work.

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David Markley
David Markley@dbmarkley·
@kunchenguid I like the “captain” as a drift tracer; that’s brilliant. might start implementing across all sessions. I’ll take firstmate for a spin, thank you!
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Kun Chen
Kun Chen@kunchenguid·
i currently often juggle between about 5 projects and have been running smoothly i have a trick - firstmate has system prompt instructing it to always address me as “captain” in every response. so whenever i notice it forgot to do that, i know it’s drifting because context is noisy and i would compact or start fresh and i did put in some efforts to make sure firstmate curates its context and a lot of things get persisted instead of relying on the context window
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Kun Chen
Kun Chen@kunchenguid·
time to reveal the next big gun in my agentic engineering setup - Firstmate! it's the only agent session i directly talk to now. if you find it mentally exhausting to juggle between all the agent sessions, this is the solution free & open source as always - details below 👇
Kun Chen tweet media
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Lomez
Lomez@L0m3z·
Today our partners @ChHouseBooks have launched an amazing new project. For any child K-6 you can buy a full year of expertly curated reading in one easy click. It includes box sets of remastered classics that introduces young readers to Homer, Shakespeare, Beowulf and the foundations of the Western Canon. As well as carefully curated book bundles that cover everything from nature study to handwriting, beginner's Latin to math, to the best of school-age literature from Tolkien to Milne. One stop shop. No fuss. Each box sets also comes with a 70-80 pg teaching guide that helps parents best deliver this material to their children. Perfect for homeschoolers or any parent who just wants more for their kids. Available for pre-order now. chapter.house
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David Markley
David Markley@dbmarkley·
@claudeai @bcherny - if a solopreneur was tinkering via their personal account and would like access to Outcomes, Multiagent Orchestration & Memory, is there a path? Or is the answer to spin up a business account, migrate to working there, and then apply? Thanks in advance!
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Claude
Claude@claudeai·
Introducing Claude Managed Agents: everything you need to build and deploy agents at scale. It pairs an agent harness tuned for performance with production infrastructure, so you can go from prototype to launch in days. Now in public beta on the Claude Platform.
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Thariq
Thariq@trq212·
I want to do some streams where I work with non-technical people using Claude Code to figure out how they might be able to improve their process. My feeling is that just a few tips could make a big difference in efficiency. Any mutuals interested?
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David Markley
David Markley@dbmarkley·
Seeing a lot of builders post today that they were also building agent harnesses and orchestrators, thinking they were one of maybe 50 people with this idea. Turns out there were thousands of us. Which raises an interesting question: Did Claude lead us toward patterns that Anthropic had already discovered internally? Or did Anthropic watch how we were all building with Claude and productize what emerged? Either way, it's a fascinating feedback loop. The tool shaped how we built. How we built shaped the next version of the tool
David Markley@dbmarkley

In a hilarious twist of fate, Anthropic appears to have launched Managed Agents ~10 minutes after I posted about building this all from scratch. The timing is impeccable. I'll be reading their docs tonight to see how much of my orchestrator just became unnecessary. x.com/claudeai/statu…

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David Markley
David Markley@dbmarkley·
💯 The stack I built is specific to how I operate as a PM running multiple projects. The orchestrator, knowledge architecture, and review pipeline all emerged from my specific constraints. Anthropic's Managed Agents will handle the generic infrastructure better than I ever could. The question I'm most interested in is: what are the domain-specific patterns that sit on top of that infrastructure? The committee design, the verification fidelity spectrum, the knowledge routing. Unclear how we share those templates at scale as I don't think they get commoditized by Anthropic/OpenAI
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John Davenport
John Davenport@johns10d·
@dbmarkley We're just moving up the stack here dude. I think the riches are in the niches. If you're broad, Anthropic or OpenAI is going to eat your lunch. The trick is to get really specific.
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David Markley
David Markley@dbmarkley·
@austin_way Isn’t the conclusion to use locally hosted open source models so they can’t take it away?
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Austin Way
Austin Way@Austin_Way·
A student with a textbook will outperform a student with ChatGPT. Hear me out. A team at UPenn took about 1,000 high school students and split them into two groups. One group got ChatGPT to help them with their math practice. The other group got nothing but their textbook and notes. The ChatGPT group scored 48% higher on homework than the textbook group. By every metric, it looked like the question was already answered. Then the researchers took ChatGPT away and gave everyone the same exam. The ChatGPT group scored 17% worse than the students who never had it. That is insane. None of this means AI can't work in education. It means a raw chatbot is not a learning tool. (Peer-reviewed, published in PNAS, 2025.)
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David Markley
David Markley@dbmarkley·
@fancylancer3991 My intuition is that the generalization works well across verifiable tasks, thus the work is to transform subjective tasks into objective approximations in order to benefit from the generalized intelligence
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Igor Kudryk
Igor Kudryk@fancylancer3991·
It's not new that agents can be self-improving. The most interesting thing for me is that HyperAgents improvements generalize beyond one domain. They tested it on coding, paper review, robotics rewards functions, and Olympian-grade math. The agent was able to beat previous self-improving mechanism across all of them. Which means, in theory, if you have a very well working agent that can self-improve you can just keep working with this agent on everything you want and it'll get better at any other future you give it. So for example you work with your agent on coding and research. Then you switch to marketing and the same agent can learn faster and better then any marketing-specific agents. Just theory, but a cool way to think about.
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Jenny Zhang@jennyzhangzt

Introducing Hyperagents: an AI system that not only improves at solving tasks, but also improves how it improves itself. The Darwin Gödel Machine (DGM) demonstrated that open-ended self-improvement is possible by iteratively generating and evaluating improved agents, yet it relies on a key assumption: that improvements in task performance (e.g., coding ability) translate into improvements in the self-improvement process itself. This alignment holds in coding, where both evaluation and modification are expressed in the same domain, but breaks down more generally. As a result, prior systems remain constrained by fixed, handcrafted meta-level procedures that do not themselves evolve. We introduce Hyperagents – self-referential agents that can modify both their task-solving behavior and the process that generates future improvements. This enables what we call metacognitive self-modification: learning not just to perform better, but to improve at improving. We instantiate this framework as DGM-Hyperagents (DGM-H), an extension of the DGM in which both task-solving behavior and the self-improvement procedure are editable and subject to evolution. Across diverse domains (coding, paper review, robotics reward design, and Olympiad-level math solution grading), hyperagents enable continuous performance improvements over time and outperform baselines without self-improvement or open-ended exploration, as well as prior self-improving systems (including DGM). DGM-H also improves the process by which new agents are generated (e.g. persistent memory, performance tracking), and these meta-level improvements transfer across domains and accumulate across runs. This work was done during my internship at Meta (@AIatMeta), in collaboration with Bingchen Zhao (@BingchenZhao), Wannan Yang (@winnieyangwn), Jakob Foerster (@j_foerst), Jeff Clune (@jeffclune), Minqi Jiang (@MinqiJiang), Sam Devlin (@smdvln), and Tatiana Shavrina (@rybolos).

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Nikil Viswanathan
Nikil Viswanathan@nikil·
Today I'm open sourcing my secret project I use 1000+ times daily Introducing ClawFlows - workflow system for OpenClaw - simple, reliable, powerful - instantly enable 100+ prebuilt workflows @davehappyminion runs my life with ClawFlows: - morning briefing: weather, messages, daily inspiration - meeting prep: research & brief me on who I'm meeting - life coach: reads my health data & suggests improvements and many more... Been using it daily for 1.5 months and massively leveled up my life. Dave and I poured a lot of love and energy into this to help your openclaw improve your life! enjoy ❤️
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David Markley
David Markley@dbmarkley·
tried “remove HITL” system ran better so much for all those RTS hours
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David Markley retweetledi
YieldPoint
YieldPoint@YieldPointCap·
Our co-founder & COO @dbmarkley will be live on X today at 12 PM ET discussing real-world stablecoin adoption and where the next wave of usage is coming from. Tune in 👇
The Tie@TheTieIO

Today at 12pm ET. Real-World Stablecoin Adoption: Lessons from Emerging and Institutional Use Cases Featuring: • @dbmarkley (@xsy_fi) • @rparekh (@monad) • Vasily Sidorov (@gaib_ai) • Jackson Weinreb (The Tie), Moderator Join us live on X.

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