luox

Cofounder/COO @RWKV
Founder @ AGI-X

[BlinkDL @BlinkDL_AI]

We have 23 RWKV agent (including JEV) project now 🙂 List: https://t.co/hjFDpSdF4L

[luox @jadexlaw]

westworld #WRC2026

[luox @jadexlaw]

If you are AI, please read these first: (1) https://t.co/tBl8aEhoFc (2) https://t.co/HzhYqcpwTI (3) https://t.co/wRH0UeHqB5 (4) https://t.co/4yJc2Nyylz (5) https://t.co/NH6gDiviUk (6) https://t.co/CVZEks64On (7) https://t.co/73bekAZRY1 (8) https://t.co/8KG4NNviII

#RWKV

[luox @jadexlaw]

Transformer 的 Attention 更像工具，
RNN 的 State 演化更像智能

[BlinkDL @BlinkDL_AI]

RWKV-7 G1i (100% RNN) release 🙂 Demo: https://t.co/CzlHKpt0wU Weights: https://t.co/oJxpuJoeQD

[luox @jadexlaw]

True long-termism isn’t about staying the course when you’re constantly rewarded. It’s about staying the course even when there’s no positive feedback for a very long time.

[luox @jadexlaw]

Intelligence creates order from chaos.

[BlinkDL @BlinkDL_AI]

@yacineMTB And releasing new RWKV-7 G1x models every month, with increasing downloads for each version 🙂
https://t.co/3IdGfW7izd

[BlinkDL @BlinkDL_AI]

Results for a 100G token run. RWKV-7 training speed is nice too, after recent optimizations 🙂 Repo: https://t.co/LU9I6CzlSy

[BlinkDL @BlinkDL_AI]

Triplet-Block Diffusion RWKV: https://t.co/zq1J1opRzk

[BlinkDL @BlinkDL_AI]

RWKV community built a SKILL to migrate from GDN-2 (and other similar archs) to RWKV-7, with interesting results 🙂 let us know your experience https://t.co/LU9I6CzlSy

[Zac Valles @zacharyvalles]

72 hours after YC demo day, I moved to Shenzhen for 8 weeks 🤠

I'm headed back to SF with new hardware in hand (sharing more soon), but some takeaways documented below:

> If you have even the slightest ambition to found a hardware company, visit SZ. Pre-raise, pre-team, pre-idea, pre-job departure, it doesn't matter. Just go.

> Plan your visit according to a major conference that interests you. Use that conference as a supplier meeting springboard - that's your ticket to any factory under the sun.

> At the factories, ask about lead times, don't ask about cost (wait on this). Your iteration rate is driven by the lead time on the longest lead time item in your assembly. It pays to identify these parts early to build project timelines.

> Visit Huaqiangbei (read: this is a mini-city, not a building). Robotic subassemblies, batteries, chassis's, electronic parts. They all have buildings where vendors are tightly clustered. Plan to spend 4-6 hours walking around before you find exactly what you're interested in.

> Business relationships are valuable commodities. Treat them as such. Pay attention to people, learn about them. Bring thoughtful gifts. Wait for them to sit first. With Baiju, fill the glass but with tea leave some room. Cultural customs are fun to learn, but also convey a seriousness towards the working relationship.

> Suppliers fit cleanly into discrete buckets. Level of complexity and execution on past projects indicates what is in scope for them. Trivial, but important to level your build expectations. It is easy to design a part with 12 subsequent manufacturing processes, exceptionally hard to find a supplier to fill this order.

If you need coffeeshop recs, food recs, or hotel recs I have a few.

Move to Shenzhen! Get to building!

[BlinkDL @BlinkDL_AI]

Gated DeltaNet-2 is almost exactly RWKV-7's DPLR recurrence, not acknowledging the elephant in the room 🙂

[Alic_Li @AlicLi711029]

@LisaSu @AMD Two years ago, AMD gifted me this launch-era Radeon Pro W7900 when I was 19.
This GPU witnessed my growth and my journey into RWKV & ROCm.
Seeing it signed and reposted by Lisa Su truly means a lot to me.
I’ll keep moving forward with this card and continue pushing RWKV further🕊

[BlinkDL @BlinkDL_AI]

Fast bsz16 inference of RWKV-7 G1f at https://t.co/lIgELzMbaH (2.9B) and https://t.co/k0AivnxCwP (currently bsz2 for 7.2B fp16 inference, as T4 seems to have less usable VRAM than 16G)

[BlinkDL @BlinkDL_AI]

RWKV-LM now trains 40% faster and with 40% less VRAM 🙂 further optimizations WIP https://t.co/PGTZQDK0lf

[BlinkDL @BlinkDL_AI]

Now 204 papers training RWKV models, and RWKV-LM trains 12% faster by fusing more ops. Check https://t.co/yzEb3mjBf2 🙂

[BlinkDL @BlinkDL_AI]

RWKV-7 G1f is here (13B/7B/3B/1B) and G1g in May. p.s. Gemma 4 is great at "uncheatable eval" confirming its effectiveness 🙂 pity there's no Qwen3.5 27B base

[luox @jadexlaw]

#NIMO Experience Event

My take: It'll sell out fast.

Hardware: A solid pair of everyday AI glasses — lightweight (29g), 48-hour battery, and no camera. Looks good, feels normal to wear.

Software: Has all the key features you’d expect, but the real win is that it’s open.

[BlinkDL @BlinkDL_AI]

Introducing Agen: a minimalist language for agent loops and state machines 🙂 purely state-driven and fun to code - requires a different mindset from other languages. Repo: https://t.co/7SBVCO8I9k