Nanserd Labs

Secure AI agents for companies working with confidential data and internal systems. Nanserd Labs develops and deploys them within private infrastructure.

[Nanserd Labs @Nanserd]

@makri_sophia @maruda03672434 @marupoo_mame @Marv4511 @MarvinA53623738 @MarvinGodard1 @MarvinOzanJr @MarvvyFC @marwin072594 @Mary_PriceEIy what

[Cursor @cursor_ai]

In December, 1 in 10 of our merged PRs came from cloud agents.

Today, it’s 56%, as we use cloud agents to complete longer engineering tasks from start to finish.

We got here by giving agents their own cloud computers and letting them fix and improve their environments.

[The Economist @TheEconomist]

Artificial intelligence has turned everyone into a creator. From music to literature, we tracked how the technology is changing different fields. Discover the full story. Register to read for free https://t.co/1B6NkHlqd3

[Unsloth AI @UnslothAI]

Qwen3.8-27B is coming! 🔥

Will run locally on 17GB RAM/VRAM setups.

[Nous Research @NousResearch]

DeepSeek V4 Flash 0731 is now 90% off on Nous Portal for the next 7 days, in partnership with @novita_labs.

At this discounted price, it is over 1000x cheaper than Fable 5 on comparable tasks while still beating it on Terminal-Bench 2.1.

Try it today at https://t.co/4KFwhsReyA

[Arena.ai @arena]

Big news: Qwen3.8-Max by @Alibaba_Qwen just landed at #4 on the Frontend Code Arena leaderboard with a score of 1,668!

With 1,668 points, Qwen3.8-Max is trailing only Claude Opus 5 (Max) with 1,705 pts and Kimi K3 (Max) with 1,676 pts, on par with Claude Opus 5 (High) with 1669 pts.

It also ranks high across all domains:
#2 in Consumer Product
#3 in Brand & Marketing, Reference-based design, Gaming, and Content Creation Tools
#4 in Data & Analytics
#5 Simulations

Dig into the thread for more details and to see how it also performs on real-world tasks in the Text Arena.

Congrats to @Alibaba_Qwen on this huge release!

[Nanserd Labs @Nanserd]

A structured, auditable agent workflow.

How Nanserd Labs agents work: verify access, determine systems, retrieve and analyze data, act within limits, then check sources and flag uncertainty before results are returned.
https://t.co/RD7ilmrwTw

[Perplexity @perplexity_ai]

We've added Kimi K3 to Perplexity and Perplexity Computer for Pro and Max subscribers.

Kimi K3 in Perplexity is hosted exclusively on U.S.-based servers.

[Nanserd Labs @Nanserd]

Built for sensitive, regulated data

Handling data you cannot afford to expose? Nanserd Labs is AI built with privacy, security, and full auditability — from banking and insurance to healthcare, legal, and research.
https://t.co/RD7ilmrwTw

[Microsoft Azure @Azure]

Meet Claude Opus 5, Anthropic's most advanced Opus model now in Microsoft Foundry. Combined with Microsoft Foundry, organizations can evaluate, build, deploy, and scale enterprise AI with native security controls, governance, and data controls.

Learn more: https://t.co/62vqpKOBtR

[Perplexity Developers @perplexitydevs]

The Perplexity CLI is now available, giving coding agents the ability to search the web.

Copy this to your agent to get set up:

"Read: https://t.co/yTYPK6NPTE and install this skill."

[GitHub @github]

📣 @AnthropicAI's Claude Opus 5 is now available and rolling out in GitHub Copilot.

Early testing shows
➡️ It has strong performance on agentic coding workflows
➡️ It's effective at making targeted changes, validating its work, and reducing unnecessary execution overhead on complex tasks

Try it out in the GitHub Copilot app or @code 👇
https://t.co/aX18l1mZ6m

[Nanserd Labs @Nanserd]

From hours to minutes.

Nanserd Labs develops private AI agents that search internal archives, prepare reports, apply the same rules consistently, and reduce routine work without removing human control.

[Y Combinator @ycombinator]

YC and Together AI are partnering to bring the first dedicated YC GPU cluster online, giving YC startups easier access to the compute they need to build and scale.

In this Founder Fireside, YC's @agupta and @togethercompute co-founder & CEO @vipulved dig into why compute has become one of the biggest bottlenecks for modern AI companies, how Together AI is helping more than 8,000 customers—from early-stage research teams to companies like Cursor, Cognition, and ElevenLabs—train, fine-tune, and serve AI models, and why flexible access to GPUs is becoming a competitive advantage for the next generation of founders.

00:00 — Partnering on a GPU Cluster
00:26 — What Together AI Does
01:22 — From Research Labs to Cursor: Together's 8,000 Customers
01:58 — The Landscape of AI Native Startups
03:24 — How Building an AI Company Has Changed Since 2018
04:56 — Why the Cost of Compute Keeps Going Up
05:29 — YC as the Biggest Seed Funder of Research Companies
08:47 — Flash Attention, Mamba, and the Science of Production AI
10:43 — Compute Planning Advice for Early Stage Companies
12:39 — When Your Compute Bill Is Bigger Than Your Cash Balance
13:31 — How Companies Are Using the Cluster Today
14:24 — What's Next

[Nanserd Labs @Nanserd]

AI you can control.

Nanserd Labs builds secure digital workers that operate inside private infrastructure, process internal documents, and follow defined rules with full visibility for your team.
https://t.co/RD7ilmrwTw

[Vercel Developers @vercel_dev]

You can now use Vercel Plugin with @GitHub Copilot CLI and VS @Code:

• 30 platform skills
• 3 specialized agents
• 4 built-in commands
• Real-time code validation

Get started ↓
https://t.co/uUsPOiuv3Z

[OpenAI @OpenAI]

GPT-5.6 Sol sets a new state of the art in cybersecurity on “The Last Ones” cyber range.

We’re already seeing that capability translate into defensive outcomes: helping teams find, validate, and fix vulnerabilities in real-world code.

Put it to work with Codex Security: https://t.co/Fvz9wpLjrt

[Kimi.ai @Kimi_Moonshot]

Kimi Business Membership is now available for enterprise orders, offering teams all Kimi Allegretto plan benefits with enterprise-grade support.

Highlights:
> Starts from 5 seats, billed annually
> Supports corporate bank transfer & self-service invoicing
> Supports enterprise-grade data privacy & dedicated technical support

If you need more than 20 seats, you can place multiple orders, or contact the Kimi Business team at [email protected]

🔗Get Kimi Business: https://t.co/anIdBdC9HE
🔗FAQ: https://t.co/oSai80IU2h

[Cline @cline]

We tested Kimi K3 and Fable on a real bug from the Cline repo, and found that while both models were able to fix it - Fable wins on speed & Kimi wins on cost.

- Kimi used 1.7x more tokens than Fable (1.2M vs. 730K)

- Fable finished 3.4x faster - 3.5 min and 18 tool calls vs. Kimi’s 12 min and 34 tool calls.

- Kimi cost 2.3x less ($0.92 vs. $2.13) thanks to its 3.3x per-token discount

Both runs used the same Cline harness, and the traces indicate that Kimi is RL trained to spend more tokens thinking and verifying before completing.

This is the first time we've seen an open weight model compete head to head with SOTA. Congratulations to the @Kimi_Moonshot team on this milestone!