crypto quant | on-chain pvp | rated 9.999916/10 by hot market makers

Joined February 2021
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Trade six types of strategies If you have momentum trades, add in a system for mean-reversion. If you have trend-following trades, add some carry strategies. 5 from one strategy, could be -4 from the other and it'll auto-reduce scale h/t discussion w/ @SimpelAlpha Thread👇
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The difference between a researcher that knows how to use agents vs not comes down to one thing: Validation loops Here are a few levels: 1. dumb: "fix this config" 2. better: "fix this config and check it with ./tool/check_config.py" 3. skill: "create a skill that fixes that config and run-check-fix loop using ./tool/check_config.py" 4. agentic: "/loop 1d pull latest errors from and run skill /fix-config"
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Oh wow, you can place limit orders for Amazon now
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stink bids for this frozen pizza
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The reason to not do this is authentication of the lineage (i.e. you know that you took the photo) It’s common for your brain to invent new memories of a time in the past based on stories. For example: you don’t have photos of your 8th birthday, and someone tells you about the balloons - even if you don’t remember - your brain will fill in the memory with balloons
I said this to @citrini last night, but in the future, will we really need storage? I take a ton of photos of my kids, and they are on my phone and in a cloud. But in the future, won't I just tell a model "generate a photo from my son's 7th birthday" and it'll be just as good?
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on the flipside, i could see this as useful to overwrite bad memories. unsure of societal implications of good/bad i think good, if it’s your own memories, you can make them what you want
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Claude Code subsidy is about $0.13/M or ~200x vs full rates Of course they're going to remove the subsidy over time Next step is likely "credits - but with rollover"
To add some clarity: you don't pay extra. It's the same subscription, same price per month. What's new our sub now covers two separate pools: · Interactive → sub limits, unchanged · Programmatic → new $20–$200 included(!!) credit, metered at API rates
Community note
This is missing key context: programmatic use no longer draws from subscription limits. It uses a separate $20-$200 monthly Agent SDK credit, then extra usage is billed at standard API rates, so heavy sub users may get far less usage than before. support.claude.com/en/articles/15… platform.claude.com/docs/en/about-… support.claude.com/en/articles/12…
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This is poorly specified - *anybody* can file (just just JPM) - it doesn't have to be accepted
🚨 NEW POLYMARKET: Chirayu Rana sued? polymarket.com/event/chirayu…
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The bad thing about this isn't the wording -- because if it resolves as written, you can just lift it and file the lawsuit yourself Unfortunately, you are actually betting on the counterparty - whether Polymarket will resolve it according to common-sense or not
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they had to rebrand “Calpis” to Calpico, because it sounded like “cow piss”
i firmly believe everybody would be drinking this if they rebranded
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It’s incredibly hard to change culture at a big co You have to do stuff like this (seemingly wasteful) to pull it off fast Easier to steer once the org is pointed the same way
Exclusive: Meta employees are “tokenmaxxing” and competing on an internal leaderboard called “Claudeonomics” for status as a token legend. Over a recent 30-day period, total usage on the dashboard topped 60 trillion tokens.
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There’s another supply chain attack that can be mitigated by ordering your installs separate internal packages from public packages and install internal packages first (prevents name shadowing attack) Maybe paranoid, but free to do, might as well
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claude code uses axios btw. i think the “package managers are evil” guy was right. at this point it makes no sense to use anything but pinned or delayed deps. possibly even vendored.
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Example of squatting x.com/Butanium_/status/20390…

⚠️ Supply chain attack in progress: someone is squatting Anthropic-internal npm package names targeting people trying to compile the leaked Claude Code source. `color-diff-napi` and `modifiers-napi` — both registered today, same person, disposable email. Do NOT install them. 🧵
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Yandex (Russia's version of google) publishes a bunch of useless stubs to official pypi repo to avoid this shadowing It's a dumb method because they could have just ordered their package installs
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Claude Code works better autonomously if you don't give it focus Now I make a bare tmux split even if I don't need it just to take focus away from the CLI
It’s interesting that Claude Code seems to behave differently depending on if your terminal window is focused or unfocused
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I'm using worktrunk and custom CoW (copy-on-write) commands to handle this, will look at migrating to this built in to see how it differs
Claude Code can use a .worktreeinclude file in your project root to automatically copy gitignored files (e.g. .env, .env.local, config/secrets.json) when Claude creates a worktree.
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LiteLLM got hacked, but it didn't even solve a good problem It's trivial to make adapters to any provider formats as needed
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The only person I have ever seen injured in the machine shop was the safety supervisor
When the tooling dude shows up and says I have something new I need you to try Me: Ok, what is the depth of cut? Tooling Dude: Just send it full Me: 😁
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Structure your repo for AI first All my fresh repos start with this: - .claude/skills - docs/plan/ for markdown plans - tool/ for CLI tools that agents can run - defaults.env (for tool defaults) the tool dir is critical because it provides the validation helpers mid loop
Software development is undergoing a renaissance in front of our eyes. If you haven't used the tools recently, you likely are underestimating what you're missing. Since December, there's been a step function improvement in what tools like Codex can do. Some great engineers at OpenAI yesterday told me that their job has fundamentally changed since December. Prior to then, they could use Codex for unit tests; now it writes essentially all the code and does a great deal of their operations and debugging. Not everyone has yet made that leap, but it's usually because of factors besides the capability of the model. Every company faces the same opportunity now, and navigating it well — just like with cloud computing or the Internet — requires careful thought. This post shares how OpenAI is currently approaching retooling our teams towards agentic software development. We're still learning and iterating, but here's how we're thinking about it right now: As a first step, by March 31st, we're aiming that: (1) For any technical task, the tool of first resort for humans is interacting with an agent rather than using an editor or terminal. (2) The default way humans utilize agents is explicitly evaluated as safe, but also productive enough that most workflows do not need additional permissions. In order to get there, here's what we recommended to the team a few weeks ago: 1. Take the time to try out the tools. The tools do sell themselves — many people have had amazing experiences with 5.2 in Codex, after having churned from codex web a few months ago. But many people are also so busy they haven't had a chance to try Codex yet or got stuck thinking "is there any way it could do X" rather than just trying. - Designate an "agents captain" for your team — the primary person responsible for thinking about how agents can be brought into the teams' workflow. - Share experiences or questions in a few designated internal channels - Take a day for a company-wide Codex hackathon 2. Create skills and AGENTS[.md]. - Create and maintain an AGENTS[.md] for any project you work on; update the AGENTS[.md] whenever the agent does something wrong or struggles with a task. - Write skills for anything that you get Codex to do, and commit it to the skills directory in a shared repository 3. Inventory and make accessible any internal tools. - Maintain a list of tools that your team relies on, and make sure someone takes point on making it agent-accessible (such as via a CLI or MCP server). 4. Structure codebases to be agent-first. With the models changing so fast, this is still somewhat untrodden ground, and will require some exploration. - Write tests which are quick to run, and create high-quality interfaces between components. 5. Say no to slop. Managing AI generated code at scale is an emerging problem, and will require new processes and conventions to keep code quality high - Ensure that some human is accountable for any code that gets merged. As a code reviewer, maintain at least the same bar as you would for human-written code, and make sure the author understands what they're submitting. 6. Work on basic infra. There's a lot of room for everyone to build basic infrastructure, which can be guided by internal user feedback. The core tools are getting a lot better and more usable, but there's a lot of infrastructure that currently go around the tools, such as observability, tracking not just the committed code but the agent trajectories that led to them, and central management of the tools that agents are able to use. Overall, adopting tools like Codex is not just a technical but also a deep cultural change, with a lot of downstream implications to figure out. We encourage every manager to drive this with their team, and to think through other action items — for example, per item 5 above, what else can prevent a lot of "functionally-correct but poorly-maintainable code" from creeping into codebases.
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Anything with the letter X has a rocket emoji when you like it For the merger of SpaceX and xAI
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The ralph agentic loop trick is unnecessary when spec/plan is used The models can follow the plan to completion already I see people using ralph to purposely underspec their task and offload the thinking to the model, and I wouldn’t do this for any serious task
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