one thing i love about open source is how quickly papers become working implementations
turning research into something people can actually build on is one of the fastest ways the ecosystem moves forward
happy to share what i've been working on lately - introducing tiny-speculators!
inspired by Speculators built by @RedHat_AI and @vllm_project team, i wanted to understand the end-to-end process of what it takes to train an EAGLE-3 draft model (for Qwen3-8B) from scratch.
link: https://t.co/cjCYyBupJB
👇checkout thread for more!
Every engineer should understand MVCC
It’s one of those foundational concepts that completely changes how you think about Postgres
Another fantastic write up from the PlanetScale team
VACUUM is notoriously difficult to get right for busy Postgres databases.
The reason it's needed boils down to MVCC and how Postgres implements it.
Our latest blog unpacks how it all works.
(1) Today we're releasing Muse Spark 1.1 -- a strong agentic and coding model at a very low price. It's available through our new Meta Model API and in Meta AI.
The future of agentic coding and review is chatless
Chat becomes a projection layer: logs, traces and context for o11y and audits
The primary interface becomes dashboards that expose goals, progress, blockers, confidence and outcomes
𝐍𝐨 𝐆𝐏𝐔? 𝐍𝐨 𝐩𝐫𝐨𝐛𝐥𝐞𝐦.
We just published a starter guide for developing vLLM + LMCache on a MacBook.
LMCache's multi-platform design decouples the GPU from most core data paths, so a single laptop is enough to clone, build, run unit tests, and verify a real cache hit on CPU. The guide walks through the environment setup in ~10 minutes and points to four concrete areas where you can start contributing.
If not having a GPU was your only blocker, it is not anymore.
Read the guide and join us in building the KV cache layer for faster LLM inference: https://t.co/l22JWaH22F
#LMCache #vLLM #LLM #AIInfrastructure #OpenSource
package managers install software
agents will install entire systems
trust is about to matter a lot more
that's why i built Root
https://t.co/0Fd5eaAOdq
Built @Arbora_AI on Cloudflare
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Type an address → get property analysis, opportunity scoring, AI-generated concepts, and homeowner-ready project packets.
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thank you for the shout out on the pod @mattzcarey@wilhelmklopp
Shipped multiple releases and Root is now at v0.1.9
Funny enough, building Root also changed how I think about AI products entirely
Root started as a simple idea
what if package managers managed your entire machine instead of just packages?
install tools
sync environments
reproduce machines
all from a single lockfile
https://t.co/CVIlDdpUl9