Aria

EX @Meta
PHD @SantaClaraUniversity
GTM Lead @Adalagent

[Aria @Aria_086]

@AyanshiJain @iAnujVarshney Let’s connect! Looks great 👍

[Aria @Aria_086]

@ItsKamranK @iAnujVarshney Amazing

[Aria @Aria_086]

@rishubuilds @iAnujVarshney Looks great!

[Aria @Aria_086]

@iAnujVarshney Let’s connect! I am building @adalagent the vibe coding agent

[Aria @Aria_086]

@jacobAlswin @X Yeah! 😆😆

[Aria @Aria_086]

Hey @X Algorithm
I am new here. Looking to #connect with people interested in:

→ Vibe coding
→ Self-evolving Agents
→ AI/ML
→ Data Science
→ Startups
→ SaaS
→ Growth
→ Go-To-Market

Say hi & let's grow together💪 💪

[Aria @Aria_086]

@master_jpma @X Sure! Great product!

[Aria @Aria_086]

@Kimi_Moonshot @alexrkonrad Kimi to be No.1 everywhere 👏👏

[Aria @Aria_086]

@ajs6888 是的 又被卡了

[Aria @Aria_086]

2024: Everyone chased the best model.

2025: Everyone chased the longest context.

2026: Everyone is chasing GPU capacity.

Frontier AI is no longer limited by intelligence.

It’s limited by compute.

Multi-model isn’t just a feature anymore.

It’s how you build reliable AI products.

[Kimi.ai @Kimi_Moonshot]

Kimi K3 has received far more love than we expected, and our GPUs are feeling it.

Over the past 48 hours, demand has pushed close to the limits of our current capacity. To protect the experience of existing subscribers, we're temporarily pausing new subscriptions and prioritizing compute for current members. Existing subscribed users are not affected.

We're adding capacity as fast as we can and will reopen new subscription spots in batches.

Going forward, we'll also split membership into two more focused plans: Kimi Membership for Kimi Web, App, and Work; and Kimi Code Membership for coding workflows. This will help us match compute more precisely and keep the experience stable.

Thank you for your patience and understanding!

[Aria @Aria_086]

China’s open-model ecosystem is moving insanely fast!

In just a few weeks:

• Qwen3.8
• Kimi K3
• GLM-5.2

Every release is pushing closer to frontier closed models.

At this pace, “which model is best?” is becoming the wrong question.

The real challenge is how to evaluate, route, and orchestrate models that improve every few weeks.

That’s why AI engineering is shifting from model selection to model orchestration.

[Qwen @Alibaba_Qwen]

Qwen3.8 is launching and going open-weight soon!🌐

With a massive 2.4T parameters, this model is continuously evolving. We believe it’s one of the most powerful model available today, compatible to leading frontier AI models , second only to Fable 5.

You don't have to wait to test it. Just now, the Qwen3.8-Max-Preview made its debut on Alibaba’s Token Plan, Qoder, and QoderWork. Be among the very first to try it out.

Can't wait to hear what you build. Stay tuned! 🚀 

Token Plan
international：https://t.co/YRvcGdB9Bv
China：https://t.co/PKMUNwUuRp

[Aria @Aria_086]

@vikas0101964285 @X Nice to meet you

[Aria @Aria_086]

@nesyo_ai @X 👏👏

[Aria @Aria_086]

@HyveMindx1 @X Hihi look forward to seeing the post

[Aria @Aria_086]

@ElanMust_GS_0id @X Nice to meet you! I am interested in Web3

[Aria @Aria_086]

@kind_technology @X 👏👏

[Aria @Aria_086]

@salok_kuma76284 @X Thanks!😊

[Aria @Aria_086]

@MeteorraAI @X I am building @adalagent the self evolving agent and harness

[Aria @Aria_086]

@tobemarizu101 @X 🙋🙋

[Aria @Aria_086]

@janyayay @X omg! SF needs you!

[Aria @Aria_086]

@buildwithsaad Agreed. Multi-model is only part of the solution. The real challenge is the orchestration layer that makes everything work reliably.

[Aria @Aria_086]

@i_mika_el Exactly! Multi-model helps avoid single-provider bottlenecks, but reliable AI systems need much more: routing, retries, fallbacks, context management, and workflow orchestration. That’s where most of the engineering happens.