PME @itsyourcode

Pro-grammer building the data agent for truth seekers @probablydatabot probably.dev San Francisco, CA Joined June 2023

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PME @itsyourcode

a week ago

@zeeg Been sending this prompt manually since result 2025 lol. LLMs do not understand that net redline is what matters. Thanks RL

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PME @itsyourcode

2 weeks ago

@tryingET Love this idea! Will check it out

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General tip thread for de-slopping (sloptimizing) your code clanker 1) Use a live diff viewer to monitoor slop production in real-time when tuning a new model/harness or it will run so far down Slop Lane that it will cost you 3x the tokens to recover than if you had smashed ESC

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PME @itsyourcode

2 weeks ago

Godspeed, sloptonauts 🫡

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PME @itsyourcode

2 weeks ago

10) Don't trust anything they say Make them tell on themselves, it works "List all unverified assumptions" "List everything you claimed to have done but didn't" "List all hacks, shortcuts or work-arounds in the unstaged diff" They will lie to you and then confess, use that

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PME @itsyourcode

2 weeks ago

Straight truth all the way through

Nate Berkopec @nateberkopec

2 weeks ago

x.com/i/article/2058…

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PME @itsyourcode

2 weeks ago

Feels relevant

Ryan Bahlous-Boldi @RyanBoldi

2 weeks ago

Your RL post-training may be sabotaging your LLM’s test-time scaling! Conventional RL pretends that you can collapse all reward signals *upfront* into a single *scalar reward*. We introduce Vector Policy Optimization (VPO), which natively maximizes *vector-valued* rewards,

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PME @itsyourcode

2 weeks ago

1M times yes

Phoebe Yao @phoebeyao

2 weeks ago

x.com/i/article/2057…

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PME @itsyourcode

2 weeks ago

@charliermarsh Rewrite Rust in Rust Oh wait..

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PME @itsyourcode

3 weeks ago

Always trust your instincts

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PME @itsyourcode

3 weeks ago

@charliermarsh The relative importance of memory safety

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PME @itsyourcode

3 weeks ago

This is exactly the right idea

Chris Tate @ctatedev

3 weeks ago

Introducing Zero The programming language for agents. I wanted a systems language that was faster, smaller, and easier for agents to use and repair. Explicit capabilities. JSON diagnostics. Typed safe fixes. Made for agents on day zero.