Cade Li

Research scientist & Managing Fundamental Research @pika_labs | Ex-MiniMax | Ph.D. from SJTU. When not training videogen, you can find me in the gym.

[Cade Li @cadeli1029]

Excited to share the tech report of PikaStream1.0 at @pika_labs!

https://t.co/9KwU2dy40Z

We’re moving beyond just "chatting" with AI—we’re giving agents a true visual identity and a face-to-face interaction experience. Check out our open-source skills to see how we're bringing agents to life.

https://t.co/b56tkmm94B

[Pika @pika_labs]

Conversations tend to go better with a face and a voice. That’s why we’re thrilled to release the beta version of the first video chat skill for ANY agent, powered by our new real-time model, PikaStream1.0.

The skill preserves memory and personality, and enables real-time adaptability. And if you use it with your Pika AI Self, they’ll be able to execute agentic tasks during the call 💅

[Pika @pika_labs]

"Fix it in post” just got a whole lot easier. Our new 4K-VFX Skill transforms anything in your video with just a simple prompt, while preserving everything else—including faces, gestures, audio, and camera moves. Powered by Seedance 4k.

[Phoenix Yin @Phoenixyin13]

我认为这是三年以来AI对齐的史诗级突破。

OpenAI 团队刚刚丢下一颗重磅炸弹：最新研究论文 《Reinforcement Learning Towards Broadly and Persistently Beneficial Models》。
这一次，他们彻底颠覆了传统的 AI 对齐路径，打破了越安全越笨的魔咒。

这次，杀招是Beneficial Trait RL，我们中文翻译为益处特质强化学习。
他们直接去训练 AI 的核心行为特质，比如诚实、纠错能力、认知谦逊。
这次，OpenAI直接重塑了 AI 的底层人格。

这次，研究人员仅仅在医疗健康一个特定领域训练了 AI 的这些有益特质，结果发现：
AI 在医疗以外的、完全没见过的 53 个 OOD测试中，在超过 80%的基准测试上性能全面飙升。它自动学会了拒绝Reward Hacking。科技终于不再盲目迎合，甚至学会了自动识破欺骗。这是伟大的进步。

这次，经过特质强化训练的模型，展现出了惊人的Persistence。
即使面对恶意洗脑和有害微调，它依然能够死死守住底线，拒绝退化。
我们可以确定，它拥有了真正的精神抗体。

在 AI 对齐领域，一直存在一个让人绝望的对齐税，即Alignment Tax。
你想让 AI 越安全，它的通用能力通常就会下降，或者变得极其缩手缩脚。
但 OpenAI 这次用数据证明了，给 AI 注入美德，不仅没有让它变蠢，反而让它在面对未知世界时更加强韧、更有智慧。

这次，Step-change般的胜利告诉我们，当 AI 开始拥有广义的、持久的、能够跨越领域的向善人格，我们距离真正安全、能替人类走向星辰大海的 AGI 代理，又极大地往前迈了一步。未来，当然可期。

[Pika @pika_labs]

What if we told you this 6-minute TV pilot was created end-to-end in one platform?

This is our latest Experiment: Pika Director’s Suite. Run by an agent that builds—and understands—all elements of your video project.

So, when you say “have Doug crash the office party in the first scene,” it knows exactly what you mean.

Walkthrough below 👇

[Google Gemma @googlegemma]

Meet DiffusionGemma!

An experimental open model that explores a fast approach to text generation, released under an Apache 2.0 license.

Moving beyond sequential, token-by-token processes to generate entire blocks of text simultaneously. Here’s what’s new with DiffusionGemma: 👇

[Tatsunori Hashimoto @tatsu_hashimoto]

Some new results I found surprising that I’m tweeting for Chris (who isnt on here). With enough compute, the best data filter for LMs (on DCLM) might be no filter. Why? Large models can tolerate a surprising amount of nominally 'low quality' data, and can sometimes even benefit.

[Cade Li @cadeli1029]

Pika MCP is here.

[Pika @pika_labs]

What if your Claude could be Monica? Or Darius? Or whoever you want them to be?

Today, we’re introducing the Pika MCP. Which means you can give your Claude a face, name, and personality—plus the ability to create rich, multimodal content.

Byeeee generic AI. Pikafy your Claude with instructions below 👇

[Cade Li @cadeli1029]

The UX paradigm shift here is massive. Abstracting away complex prompt engineering so you can just talk to your Pika Agent drastically reduces friction in the generation pipeline. The fact you can create this level of high-fidelity output with such a simple, natural language interface is incredibly impressive.

[Pika @pika_labs]

Today, we’re introducing the next AI interface for creation: a person.

Pika Agents are the creative partner you birth. They have a voice, face, and personality that you create. And they enable an entirely new way to make, refine, and ship anything—simply by having a human conversation.

RIP prompt box. It’s time to meet your maker.

[Pika @pika_labs]

Today, we’re introducing the next AI interface for creation: a person.

Pika Agents are the creative partner you birth. They have a voice, face, and personality that you create. And they enable an entirely new way to make, refine, and ship anything—simply by having a human conversation.

RIP prompt box. It’s time to meet your maker.

[DeepSeek @deepseek_ai]

🚀 DeepSeek-V4 Preview is officially live & open-sourced! Welcome to the era of cost-effective 1M context length.

🔹 DeepSeek-V4-Pro: 1.6T total / 49B active params. Performance rivaling the world's top closed-source models.
🔹 DeepSeek-V4-Flash: 284B total / 13B active params. Your fast, efficient, and economical choice.

Try it now at https://t.co/GCdiMzk1Dl via Expert Mode / Instant Mode. API is updated & available today!

📄 Tech Report: https://t.co/drlDrxkYtp
🤗 Open Weights: https://t.co/T13Y8i7SDM

1/n

[elvis @omarsar0]

NEW paper from Meta.

(bookmark this one)

What if the model wasn't just using the computer, but became the computer?

New research from Meta AI and KAUST makes a serious case for Neural Computers (NCs).

The paper proposes NCs as learned runtimes where computation, memory, and I/O live inside a single latent state. Their first prototypes use video models to roll out terminal and GUI interfaces from prompts, pixels, and user actions.

Why does it matter?

Today's agents still depend on external computers to store state, execute actions, and enforce system contracts. Neural Computers point to a different machine form: one where interface dynamics, working memory, and execution are learned together.

The early results are promising but grounded. CLI rendering improves, GUI cursor control reaches 98.7% with explicit visual supervision, and reprompting boosts arithmetic-probe accuracy from 4% to 83%. But symbolic reliability, stable reuse, and runtime governance remain open.

This is less "agents got better" and more "what comes after agents as a computing substrate?"

Paper: https://t.co/CKdclokmer

Learn to build effective AI agents in our academy: https://t.co/1e8RZKs4uX

[Pika @pika_labs]

1/3 Money, money, money, moneyyyyy 💸💸💸💸

Today we’re making it possible for you to earn actual money from your Pika AI Self agent. Because we think your agent should work FOR you in every sense of the phrase.

Every time someone talks with them, or uses one of their skills, you earn tokens redeemable for cash. Say goodbye to those deadbeat agents.

[Pika @pika_labs]

Pick up! It’s your AI Self calling 🤳

All Pika AI Self agents can now talk on the phone. For when it’s just too difficult to explain, your thumbs are tired, or you’re craving a more personal connection.

[Cade Li @cadeli1029]

@Sar_cry No

[Cade Li @cadeli1029]

Exited to share our latest work. Tech blog comming soon!

Open-access version Skill: https://t.co/XCAsL1K9vE

[Pika @pika_labs]

Conversations tend to go better with a face and a voice. That’s why we’re thrilled to release the beta version of the first video chat skill for ANY agent, powered by our new real-time model, PikaStream1.0.

The skill preserves memory and personality, and enables real-time adaptability. And if you use it with your Pika AI Self, they’ll be able to execute agentic tasks during the call 💅

[Pika @pika_labs]

Time to fire your agent 🤖 👋

Pika AI Selves have all the agentic connections and skills, plus actual personalities. Have them put your taste to work with Pika Powers.

[Qwen @Alibaba_Qwen]

Demo2：Audio-Visual Vibe Coding

[KK.aWSB @KKaWSB]

麻省理工学院教授帕特里克·温斯顿发表了一场名为“如何说话”的传奇 1 小时演讲。

它拥有超过1800万的观看量。

他的框架：
你的想法就像你的孩子
• 求职面试的五分钟法则
• 为什么笑话一开始就不好笑

15堂沟通课：

[Pika @pika_labs]

WE INTERRUPT YOUR REGULAR PROGRAMMING to say that Pika AI Selves are officially in public beta!

Everyone can now give birth to an agentic extension of themselves at Pika dot me, or on our new iOS app.