Vincent

162 posts

Vincent

@vtho06

Branching compute @ https://t.co/2wtrnNlvmJ

เข้าร่วม Şubat 2023

13 กำลังติดตาม9 ผู้ติดตาม

Vincent@vtho06·4d

Now do Cow

aditya@adxtyahq

Rust Ownership.

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Vincent@vtho06·6d

What if there’s a trait that fixes all rust's io problems (crate containing implementations of protocols which only work in either async or blocking, crates only working with a certain async runtime). What if there’s a 'tower' trait of I/O?

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Vincent@vtho06·21 Mar

Detta låter igenom-tänkt och ser inte alls hur detta kan gå fel.

Nicklas Andersson@Investeraren

BREAKING NEWS‼️🔥 Montrose är först ut i Europa med en MCP-server för aktier och fonder. Det gör det möjligt att koppla din depå till valfritt AI-gränssnitt och dessutom utveckla egna verktyg 🥳🙌 ✅ Prata med din portfölj ✅ Analysera dina innehav ✅ Skapa bevakningar ✅ Initiera köp ✅ Utveckla egna verktyg (dashboards m.m.) ✅ ... och mycket mycket mycket MYCKET mer. Fantasin sätter gränserna!! Detta markerar ett tydligt skifte för svenska investerare. Vi fortsätter att driva innovationen i branschen. Montrose - av investerare, för investerare! Först ut i Europa avser banker, nätmäklare och värdepappersbolag och aktier/fonder. Alltså första aktören som tillåter sina kunder att dra nytta av kraften med AI. #PrataPengar #Finanstwitter montrose.io/mcp

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Vincent@vtho06·21 Mar

”Testing your intelligence” is crazy

ish.exe@ishtwts

AI started gaslighting

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Vincent@vtho06·20 Mar

@thdxr Compaction is the last thing I’d like to happen to a password manager lol

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dax@thdxr·19 Mar

ai password manager is that anything?

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Vincent@vtho06·20 Mar

@rachpradhan Impressive!

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Rach@rachpradhan·18 Mar

Still alpha. WebSocket and HTTP/2 in progress. But the core is real and the numbers are real. If you're building inference endpoints, high-throughput APIs, or just tired of Python bottlenecks: ⭐ github.com/justrach/turbo… 📖 turboapi.trilok.ai (built using mer.js)

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Rach@rachpradhan·18 Mar

I replaced FastAPI's entire HTTP core with Zig. Same decorator API. Same Pydantic models. 7× faster. 47,832 req/s vs FastAPI's 6,800. 2.09ms p50 latency. Introducing. TurboAPI. Here's the story..

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Vincent@vtho06·17 Mar

After interracting with different kinds of kernels (mostly linux, macos/bsd) for months now, it's absolutely insane to me how much control and many knobs fits inside integer-like types.

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Vincent@vtho06·17 Mar

Terraform/nixOS combination is awesome

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Vincent@vtho06·17 Mar

”given that” doing a lot of heavy work in that sentence…

Greg Brockman@gdb

rust is a perfect language for agents, given that if it compiles it's ~correct

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Vincent@vtho06·17 Mar

hmm tree is good for context you say

Dillon Mulroy@dillon_mulroy

thoughts after day 1 of using pi full time - less is more - i don't miss subagents like i thought i would - /tree is an insanely good context management primitive (and partially why i havent reached for subagents yet) - based only on vibes, i think having a minimum system prompt is improving code quality - telling pi to copy opencodes webfetch and websearch tools was a good play

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Vincent@vtho06·17 Mar

@SlussNoah You just agentized a service we have in Sweden called ”price hunter” (real name: prisjakt).

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noah sluss ✌️@SlussNoah·17 Mar

Watching my zoomer coworker try to operate a fax machine, he visibly flinches when it makes phone sounds Meanwhile I’ve got 20 bots working out which corner shop within 5 blocks of the office has the best price on zyns

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Vincent@vtho06·17 Mar

@arafatkatze Apple benchmarks itself

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Vincent@vtho06·17 Mar

This is huge

Mistral AI for Developers@MistralDevs

🧮 Today, we release Leanstral - the first open-source code agent for Lean 4, an efficient proof assistant capable of expressing complex mathematical objects and software specifications.

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Vincent รีทวีตแล้ว

yev@itisyev·16 Mar

I wrote an introductory post on alternative interfaces for coding agent swarms as well as what the heck I mean by those words

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Vincent รีทวีตแล้ว

Glauber Costa@glcst·16 Mar

Time to run Doom inside an LLM

Christos Tzamos@ChristosTzamos

1/4 LLMs solve research grade math problems but struggle with basic calculations. We bridge this gap by turning them to computers. We built a computer INSIDE a transformer that can run programs for millions of steps in seconds solving even the hardest Sudokus with 100% accuracy

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Vincent@vtho06·16 Mar