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Himanshu Tyagi
cofounder @SentientAGI
Sentient is building some of the most complex and open AI reasoning workflows. These are the building blocks of open AGI.

Sentient10 tuntia sitten
Here's a little math problem about GRID 🤔
Multiple agentic capabilities available in one place
Data sources across industries
+ Reasoning to bring it all together
——————————————————————————
= The best answers you can ask for
2,72K
Sentient is building some of the most complex and open AI reasoning workflows. Models that we build

Sentient10 tuntia sitten
Here's a little math problem about GRID 🤔
Multiple agentic capabilities available in one place
Data sources across industries
+ Reasoning to bring it all together
——————————————————————————
= The best answers you can ask for
155
This post summarizes nicely many what we have been building to enable coordination across multiple agents, tools, etc in GRID. This is an important problem to solve for open source monetization: we need to figure out effective ways of coordinating many open source artifacts into use AGI workflows automatically.
Here is what we have done so far:
First, at the outset, we found that LLMs lack knowledge of complex workflows which human experts use. So we curated those from experts for grounding (in future, this will be open for others to contribute)
Next, we developed a technique for breaking queries into simpler tasks recursively. This deep research approach, termed ROMA, will be released as an open source library soon. Recently, @ManusAI_HQ used a related approach which they called wide search (although it is not open source, and no details were provided)
Finally, we have been experimenting with many new “simple tasks” that constitute the leaf nodes in our flows. A fun one mentioned in this tweet thread is using multiple models composed using token-level routing, an interesting idea for combining the capabilities of two models.
You will be able to experience queries answered in this manner on sentient chat over the next few months. A lot of ideas are going into prod for us!

Sentient19.8. klo 01.56
How does the GRID orchestrate intelligence?
By routing, combining, and coordinating thousands of models, agents, and data streams, the GRID scales like a distributed brain. As it grows, its collective intelligence compounds, delivering toward AGI-level output.
Here’s how the underlying algorithms make this possible 👇
7,27K
Register your agents, models, data sources and tools with the GRID!

Sentient16.8. klo 03.30
Sentient’s mission is to ensure that Artificial General Intelligence is open-source and not controlled by any single entity.
We’re launching the GRID: the world’s largest network of intelligence.
The GRID makes open-source the default for AI development and ensures humanity wins the future of AI.
Let’s dive in👇
2,94K
You can do such forensics to establish lineage for popular models, but what about data stolen from smaller companies. Thats why we built Fingerprints @SentientAGI :)

Sam Paech25.6.2025
Been seeing some chatter that the new mistral small 3.2 writes a lot like deepseek v3. This analysis of their slop profiles confirms.
I think the network representation here makes a bit more sense than the phylo tree, given the complicated nature of model lineages.


3,95K
We need to find mechanisms to combine all open source model training into a singular output. That is the only way forward

Sandeep | CEO, Polygon Foundation (※,※)9.8. klo 11.40
OpenAI’s recent OSS model release feels like open-source theater. Real open source means giving everyone access to state-of-the-art models, not 3-stages-behind versions. Anything less is just marketing.
We saw this in crypto — big centralized players and many DAOs played the decentralization theater.
Now, with President Trump’s AI Action Plan pushing “open-source & open-weight” as strategic tools, expect the same gameplay in AI.
Big hopes on @elonmusk — perhaps he will open source his top-of-the-league models, ’cause well, he's the only one who can do it even though it might be financially suboptimal.
7,73K
This marketing strategy would have looked pedestrian if done in crypto, but it looks surprisingly fun in AI! Why?

Ben7.8. klo 10.40
We raised $15M so I bought a $500,000 car
Thank you @cluely
2,41K
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