lambda

649 posts

lambda

lambda

@itzlambda

smashing buttons 🦀

Turing Machine Katılım Temmuz 2021
2.1K Takip Edilen491 Takipçiler
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lambda
lambda@itzlambda·
Introducing starscout – a tool that lets you search your github stars using natural language.
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Lawrence Chen
Lawrence Chen@lawrencecchen·
Introducing cmux Vault: cmux now has a right sidebar with a vault pane where you can see every single Codex, Claude Code, OpenCode, and Pi session You can search through all sessions with full-text search, and drag them directly into your workspace Out in v0.64+
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lambda
lambda@itzlambda·
@ClaudeDevs hate this coorporate speech so much, even though i was mainly using claude code cli i will be switching to codex because of this.
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ClaudeDevs
ClaudeDevs@ClaudeDevs·
Starting June 15, paid Claude plans can claim a dedicated monthly credit for programmatic usage. The credit covers usage of: - Claude Agent SDK - claude -p - Claude Code GitHub Actions - Third-party apps built on the Agent SDK
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lambda retweetledi
⚡🛡️ Evan Pappas
⚡🛡️ Evan Pappas@Hevalon·
I built autoresearch-rl and pointed it at GRPO fine-tuning on @basilic_ai A100s. One command. 15 iterations. Zero human intervention. 100% infrastructure success rate. GSM8K pass@1: 26% baseline to 36%. The hard part wasn't the search algorithm. It was the infrastructure.
⚡🛡️ Evan Pappas tweet media
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Erfan Miahi
Erfan Miahi@erfan_mhi·
Used autoresearch to make @grail_ai GRPO trainer 1.8x faster on a single B200. I kept postponing this for weeks since the bottleneck in our decentralized framework was mainly communication. But after our proposed technique, PULSE, made weight sync 100x faster, the training update itself became the bottleneck. Even with a fully async trainer and inference, a slow trainer kills convergence speed. A task that could've eaten days of my time ran in parallel while I worked on other stuff. Unlike original autoresearch, where each experiment is 5 min, our feedback loop is way longer (10-17 min per epoch + 10-60 minutes of installations and code changes), so I did minimal steering when it was heading in bad directions to avoid burning GPU hours. The agent tried so many things that failed. But, eventually found the wins: Liger kernel, sequence packing, token-budget dynamic batching, and native FA4 via AttentionInterface. 27% to 47% MFU. 16.7 min to 9.2 min per epoch. If you wanna dig deeper or contribute: github.com/tplr-ai/grail We're optimizing everything at the scale of global nodes to make decentralized post-training as fast as centralized ones. Stay tuned for some cool models coming out of this effort. Cheers!
Erfan Miahi tweet media
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harshbajpai
harshbajpai@bajpaiharsh244·
Harsh Bajpai is now 24 years old! Which is an interesting feeling tbh …..
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megabyte0x.eth
megabyte0x.eth@megabyte0x·
does any local alternative for Wispr Flow exists?
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lambda
lambda@itzlambda·
TIL: sqlite has `sqliterc` configuration file Add `.head on` and `.mode column` to ~/.sqliterc. Thank me later.
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lambda
lambda@itzlambda·
TIL: sqlite has `ATTACH DATABASE` command. So you dont need import/export scripts to move data between two sqlite databases.
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lambda
lambda@itzlambda·
"Any application that can be written in Rust, will eventually be written in Rust."
Andreas Kling@awesomekling

Over the last ~2 weeks I've rewritten the @ladybirdbrowser JavaScript compiler in Rust using AI agents. ~25k lines of safe Rust (20k if you exclude comments). No regressions on test262 or our own internal test suites. Extensively tested against the live web by browsing in lockstep mode where we run both the C++ and Rust pipelines, and then verify identical AST & bytecode. We're making a pragmatic decision and adopting Rust as a C++ successor language. What a time to be alive!

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lambda
lambda@itzlambda·
Code is cheap. Show me the intent.
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lambda
lambda@itzlambda·
OMG Opus 4.6 and GPT 5.3 launch on the same day!
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