SuperAGI🪽

✨ Digital+Physical AI ¦ SpaceTech+DefTech ¦ Longevity 🦄 Venture Catalyst // #NFA #DYOR

[Satya Nadella @satyanadella]

Open-weight models are essential to a healthy AI ecosystem. Together with others across our industry, we are outlining a path for open-weight models to strengthen American competitiveness and expand economic opportunity, while protecting national security. https://t.co/Tr0sAzAxTD

[R& Ventures @R0xAGI]

#Quantum #EntangledAtomicClouds

https://t.co/SrtQnCADHJ

[R& Ventures @R0xAGI]

#Build

Time to Build!

[R& Ventures @R0xAGI]

#LLMs_2025_Review #Karpathy

https://t.co/7ONqT6LVso

[Satya Nadella @satyanadella]

A couple reflections on the quantum computing breakthrough we just announced...

Most of us grew up learning there are three main types of matter that matter: solid, liquid, and gas. Today, that changed.

After a nearly 20 year pursuit, we’ve created an entirely new state of matter, unlocked by a new class of materials, topoconductors, that enable a fundamental leap in computing.

It powers Majorana 1, the first quantum processing unit built on a topological core.

We believe this breakthrough will allow us to create a truly meaningful quantum computer not in decades, as some have predicted, but in years.

The qubits created with topoconductors are faster, more reliable, and smaller.

They are 1/100th of a millimeter, meaning we now have a clear path to a million-qubit processor.

Imagine a chip that can fit in the palm of your hand yet is capable of solving problems that even all the computers on Earth today combined could not!

Sometimes researchers have to work on things for decades to make progress possible.

It takes patience and persistence to have big impact in the world.

And I am glad we get the opportunity to do just that at Microsoft.

This is our focus: When productivity rises, economies grow faster, benefiting every sector and every corner of the globe.

It’s not about hyping tech; it’s about building technology that truly serves the world.

[Turing Post @TheTuringPost]

Adaptive Graph of Thoughts (AGoT) unifies the strengths of chain, tree, and graph paradigms into one framework.

It improves performance by up to 46.2%, expanding reasoning only on necessary subproblems, without extra training or heavy computation.

Here's how it works:

[Aravind Srinivas @AravSrinivas]

DeepSeek-R1-Zero (no supervised fine-tuning) showing human-like reasoning skills in natural language just by virtue of reinforcement learning (RL).

[Turing Post @TheTuringPost]

Autonomy-of-Experts (AoE) flips the script of Mixture-of-Experts (MoE).

It eliminates the central router that assigns tasks.

Instead, the experts themselves decide if they’re the right fit for a given input, because they "know" better what they are good at.

Here are the details:

[Perplexity @perplexity_ai]

DeepSeek R1 is now available on Perplexity to support deep web research. There's a new Pro Search reasoning mode selector, along with OpenAI o1, with transparent chain of thought into model's reasoning. We're increasing the number of daily uses for both free and paid as add more capacity during the day. Stay tuned!

[Turing Post @TheTuringPost]

.@GoogleAI proposed a Chain-of-Agents (CoA) framework that uses multiple AI agents working together to reason through long texts.

It outperforms RAG and full-context processing by up to 10%!

Here's how CoA works:

1. Worker agents handle different parts of the text and share their insights to the next agent.
2. A manager agent combines these insights into a final, coherent output.

Details below:

[DeepSeek @deepseek_ai]

🚀 DeepSeek-R1 is here!

⚡ Performance on par with OpenAI-o1
📖 Fully open-source model & technical report
🏆 MIT licensed: Distill & commercialize freely!

🌐 Website & API are live now! Try DeepThink at https://t.co/v1TFy7LHNy today!

🐋 1/n

[Turing Post @TheTuringPost]

Results of DeepSeek-R1 👇

The power of reinforcement learning, thorough training and high-quality cold start data in action

[SuperAGI🪽 @AGI0x0]

Newly released ByteDance Doubao-1.5-pro matches GPT 4o benchmarks at 50x cheaper
- $0.022/M cached input tokens, $0.11/M input, $0.275/M output
- 5x cheaper than DeepSeek, >200x of o1
- 32k + 256k context
- sparse MoE architecture

Src: https://t.co/fqp0n1885O

[LMSYS Org @lmsysorg]

Congratulations on the Amazing Doubao-1.5 models! Doubao models are fine-tuned on veRL framework and SGLang will collaborate with veRL team deeply in the next version for a much better hybrid engine! Stay tuned!

[NVIDIA AI @NVIDIAAI]

Intelligent digital avatars are helping boost efficiency and enhance customer loyalty 📈 🤝

See how various industries are designing and deploying AI agents with avatar and speech features: https://t.co/DucRkAnyGo

#agenticAI #digitalhumans

[DeepSeek @deepseek_ai]

🚀 Introducing DeepSeek-V3!

Biggest leap forward yet:
⚡ 60 tokens/second (3x faster than V2!)
💪 Enhanced capabilities
🛠 API compatibility intact
🌍 Fully open-source models & papers

🐋 1/n

[Sundar Pichai @sundarpichai]

We see Willow as an important step in our journey to build a useful quantum computer with practical applications in areas like drug discovery, fusion energy, battery design + more. Details here: https://t.co/dgPuXOoBSZ

[R& Ventures @R0xAGI]

#GenerativeAI #OpenAI #GPT3 #FutureIsBright https://t.co/ZESdw57DxI

[R& Ventures @R0xAGI]

#HMI #BCI #IoT #HumanMachineMerge #BrainMachineInterface https://t.co/HGfCK7RoAH