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The Real Return on the Sentient and Chainlink Partnership
Chainlink connects to the “real world” with its secure data stream, transforming abstract ideas into concrete economic actions. This enables them to perform real-world tasks such as spending money, triggering transactions, or making decisions, not just “generating ideas.”
The AI agents in @SentientAGI 's GRID ecosystem can reason on their own, meaning they can analyze and plan, but without the “external data” we refer to in the blockchain world, such as prices, weather, and macro indicators, their capabilities or transaction reliability were essentially blind.
>>How?
1- DATA ENTRY
Acquiring “Verified Data” from @chainlink
Chainlink's oracle network, or data provider, cryptographically verifies real-world data and delivers it to agents.
This data is collected from over 100 sources and protected against manipulation, with virtually no margin of error!
agents receive this data via the CRE (Chainlink Runtime Environment). We can think of the CRE as the agents' “eyes,” because it securely integrates data and feeds the agents' “reasoning” layer.
2- THINKING and DECISION
Sentient's ROMA Phase
takes over the task, as we have frequently mentioned before, using the ROMA framework, which takes the data and performs multi-agent coordination.
One agent analyzes prices, another calculates risk, a third makes plans, and finally, a decision is made.
In other words, ROMA agents coordinate and structure decisions, and when fed with Chainlink data, thought becomes evidence.
3-FINALIZATION
Performing via CRE
The decision made by ROMA in the previous step is automatically sent to the blockchain via CRE.
ROMA decides → CRE implements it on the blockchain.
In other words, CRE acts as Rome's right-hand man and turns decisions into action.
>> The result?
Abstract intelligence → Economic value
Agents are fed with data and take action, creating an “agentic economy.”
Agents can purchase data, execute transactions, and reward contributors.
→ Additional Information: According to 2025 data, such integrations manage over $500 million in TVS in DeFi.
Let's visualize the working principle using a concrete example. 👇
gSenti everyone, from the first day of the week👋
As you know, we've been hanging out with @SentientAGI
for a while now :)
The new week's (November 10 - November 14) event schedule has been announced by @_fl1st_ , as pinned on the #games channel.
Participating in events and interacting with the community is crucial, so please don't miss the program!
Note: The times in the photo I've added are Turkish time. Please confirm the times in your region from the relevant channel pins!
I wish everyone a happy, healthy, and profitable week and wish everyone who works hard and strives to achieve their roles 🙏
Gsenti to open source AGI enthusiasts,
last Saturday, for reasons I couldn't understand, my computer went into Windows' “Automatic Repair” mode and wouldn't start up. 🔐
Frankly, I panicked because I didn't know much about this situation, and I was quite stressed thinking that many of my files stored on my hard-working computer had been lost. 🤯
Researching this issue online could have been a huge time sink, and I might not have fully understood what to do.
>> I thought the best option would be to ask Sentient Chat and have it explain to me step by step what I should do. As I expected, he quickly identified the possible sources of error one by one and explained them with headings.
>> I asked him to elaborate on the section I was stuck on and describe what I should do step by step.
>> When I entered the "bootrec /fixboot" command, I got an “access denied” error. Since I didn't know how to fix it, I asked for help, and told me to enter the “bcdboot C:\Windows” command instead. Then the disk drive check started with the command “chkdsk C: /f /r”.
After completing these steps, I returned to the main screen and clicked the "Continue to Windows 11" option:
→ Windows opened normally! 🥳🥳
After my computer booted up normally, I performed a final check by following these steps:
>> Win + S → “cmd” → right-click → I ran it as Administrator,
>> I entered the "sfc /scannow" command, waited for it to finish, and then when it was done,
>> I entered the "DISM /Online /Cleanup-Image /RestoreHealth" command to complete all the processes.
→ Thanks to @SentientAGI , I'm back online baby! ←
It was impossible for me to do all these tasks on my own, so I am proud to be part of #SentientAGI that produces quick and clear answers.
**********************************************************************
☝️I would like to point out one issue that caught my attention and must be addressed.
With the updates made, Sentient Chat is now much faster, clearer, and produces spot-on answers.
However, when I uploaded a screenshot related to the problem I experienced regarding the topic I mentioned above, I received a warning that “the file type is not supported.”
This surprised me, frankly.
🤌Considering Sentient's pace of development, I believe that file types such as “Images (e.g., .png, .jpg, .jpeg, .gif, .svg)” must absolutely be supported to provide faster detection and analysis, thereby saving users time and increasing satisfaction.
@oleg_golev@vivekkolli@shad_haq_@qzxcle @scalpkripto #Windows11
>> GRID Feel's Me Safe For TGE
>> ROMA Feel's Me Safe For TGE
>> ODS Feel's Me Safe For TGE
>> OML Feel's Me Safe For TGE
I feeling safe with @SentientAGI
From code to cognition, from fingerprint to a worldwide network...
ROMA - multi-agent reasoning framework
OML - fingerprinted LLMs
GRID - world’s largest intelligence network
ODS - open deep search
Together, they form a breathing ecosystem of open intelligence. And yes,
>> Every piece ready for Sentient TGE! <<
$SENT isn't just a token, it's the ticket to this new era of intelligence. 🎟️🚀
@SentientAGI@sentient_zh
gSenti to the community of open-source AGI enthusiasts,
Developments and updates on @SentientAGI side are continuing at full speed, and with the latest announcement, community educators were asked to share original, high-quality content about ROMA v0.2.0. Although my role within the community is that of a Helper, it's impossible for me to remain indifferent to these amazing developments :)
Therefore, I want to examine the differences between the ROMA v0.1 and v0.2.0 versions and explain the new developments in my own words.
First, let's take a look at the diagram I created to remind us of the 4-step working principle of the ROMA v0.1 version.
Atomizer → Breaks down complex tasks into small, independent subtasks.
Planner → Assigns the most suitable agent/tool to each sub-task and determines the dependency order.
Executor → Runs sibling sub-tasks in parallel (dependent ones sequentially).
Aggregator → Collects the sub-results and sends them back to the parent node; generates new sub-tasks if necessary.
**********************************************************************
Let's take a look at the changes made in the new version ROMA v0.2.0 and the differences between it and the first version.
>> When I looked at the GitHub sources, one of the first developments that caught my eye was that the old 4-stage structure had been expanded to 5 stages with the addition of the “Verifier” loop.
Atomizer→ Planner→ Executor→ Verifier→ Aggregator
Verifier: It verifies the result, sends it back to Planner for correction if it finds an error, and directs it to Aggregator if there is no error.
I added the “Verifier” stage to the initial version diagram, our new workflow cycle became as shown in the visual.
>> Another topic is: "DSPyOSS"
Another noteworthy aspect is that ROMA has been completely rebuilt, this time based on DSPyOSS instead of its own source. This development appears to have made ROMA much faster, more stable, and more scalable in real-world workloads.
In short,
It is the official open-source community and brand of the DSPy framework.
DSPy (Declarative Self-improving Python) is an open-source framework that allows you to program language models (LLMs) using Python code, rather than writing prompts. (This part got very technical, in short, using Python code 😅)
How does the DSPyOSS async module enhance ROMA?
→ It enables significant time savings by running multiple sub-tasks in parallel.
→ With the asynchronous I/O (Asynchronous Input/Output) working model, it can start a process and continue with other tasks without waiting for the result.
→ Using artifact-only context propagation, completed sub-tasks are stored as clean, serializable artifacts, thus being filtered out of the full chat history to prevent token bloat.
→ Automatic model routing ensures the right model selection for light/heavy task distribution.
→ Graceful fallback ensures the system does not crash even if a model does not support async.
**********************************************************************
Finally, I prepared a comparison table to clearly see the main differences between versions v0.1 and v0.2.0.
Sources:
+ https://t.co/wLIoNCdHNv
+ https://t.co/hNnsIfPhwb
#SentientAGI
@vivekkolli@oleg_golev@0xsachi@shad_haq_ @scalpkripto @qzxcle@SentientTurkiye@sentient_zh
gSenti to the tireless companions of Sentient,
Talus Lab and Sentient have announced their partnership. 🔥
I congratulate both project management teams on this exciting development and welcome Talus Lab to our family.
The biggest challenge highlighted in the article published by Talus Lab on X is not so much the development of AI agents, but rather getting these agents to users.
Therefore, the collaboration involves integrating the AI agents developed by @Talus_Labs on the Nexus platform into @SentientAGI 's AgentHub and SentientChat platforms.
I hope this partnership will maximize the intended benefits, but I can't help wondering about Talus Labs' Talus Vision.
(For those unfamiliar with it, Talus Vision is an agent development interface that allows even those without technical knowledge to create agents without writing code.)
→ Will no-code agent development produce quality products, or will it flood the ecosystem with spam agents?
Article link: https://t.co/Cojklf1AfZ
gSenti everyone,
I participate in events on the #games channel almost every day, trying not to miss any. Today, I participated in a quiz organized by @_fl1st_ on the games channel. The questions were about #GRID , ROMA, DOBBY, and the latest developments.
Since I had to use a VPN to connect to Discord, I couldn't answer two questions, so I couldn't maintain my second-place position and finished the competition in 8th place.
However, I realized that we all now have so much information about @SentientAGI , which I joined months ago and have been witnessing its development and being part of its community for a long time.
We live and breathe Sentient.
We conduct research on it, and we've been preparing our content without AI assistance for a long time.
It's truly an amazing thing.
I congratulate everyone who ranks and develops themselves with Sentient like me.
#SentientAGI #Sentient
Welcome to the GRID ecosystem as one of our exciting partnerships. @useTria
>Tria’s BestPath and payments enable seamless settlements for any agent, AI, or human across every chain and real-world endpoint.
>Agents can trade, transfer, or spend any asset anywhere efficiently and securely.
>With Tria, payments and card rails move from abstract intent to real-world execution, coming natively to @SentientAGI GRID.
>>We can say that it is a strategic partnership that supports the vision of a self-custodial neobank for AI agents and humans.
gSenti,
to every part of Sentient Community!
Starting the day with this message is truly an honor and a joy. It has also been a great source of motivation. ✊
I would like to thank @qzxcle and the entire team for seeing the efforts of the community's active members and standing by them.
We will continue on this path we have embarked on with @SentientAGI , without giving up, without wavering, and supporting each other.We will show the entire CT how big of a community we are.
We will always publicize the team's work and continue to shout together that:
“making open-source AI win.”
Not to forget:
This week, we discuss how #SentientAGI compares to OpenAI, Perplexity, and Anthropic and show why we are the highest-value AI community.
@shad_haq_ @scalpkripto @SentientTurkiye
Full-stack success!
While everyone talks about excelling in just one area, @SentientAGI has proven to be the best across all domains: OML, LiveCodeBenchPro, MindGames Arena, Lock-LLMs, the building blocks of this major effort.
This is the rise of open intelligence!
What happened?
The world’s most prestigious AI conference, @NeurIPSConf accepted 4 of Sentient’s research articles across 4 different categories. This is not just an achievement, it’s a declaration of full-stack mastery in AI.
> OML 1.0 (Main Track) Scalable LLM fingerprinting for open models, achieving 100× better results than previous approaches. 24,576 persistent fingerprints without any drop in model performance.
> LiveCodeBenchPro (Data & Benchmark Track) A custom benchmark focused on programming ability. We matched competing models using models 10× smaller with only 20% of the data.
> MindGames Arena (Competition Track) The era of self improving AI is here. Selected by NeurIPS, this competition uses social games to drive the next paradigm of self optimization.
> Lock-LLMs (Workshops & Tutorials) A new standard in model security: allowing developers to build open models with cryptographically verifiable control under white box access.
These aren’t just four articles, they are four foundational pillars for the future of open AI.
Now, Sentient is setting the standard for the entire ecosystem.
@shad_haq_ @scalpkripto #SentientAGI
I would like to thank @cotantanax , one of the community's crazy and hardworking members, for this massive work.
Of course, l am SentiMAXI 😎
📍 Senti Maxi Poll @SentientAGI
Show your Sentient love if you are Senti Maxi ✈️
https://t.co/Xsa3pafojY
Your turn @yeim123 , let's see if you're SentiMAXI ?
@scalpkripto @qzxcle@xabzxbt@shad_haq_
Waves erase everything.
But not this.
$SENT is written into the tide of time.
$GRID is unstoppable!
Every update, every partnership, every new framework, they’re all proving what I said back then.
$SENT won't be just a token.
It’s a movement written into time.
GRID keeps expanding.
The wave never stopped. 🌊
@SentientAGI | #SentientAGI
@shad_haq_ @scalpkripto
@qzxcle@0xsachi@hstyagi@abhishek095@sandeepnailwal
Waves erase everything.
But not this.
$SENT is written into the tide of time.
$GRID is unstoppable!
Every update, every partnership, every new framework, they’re all proving what I said back then.
$SENT won't be just a token.
It’s a movement written into time.
GRID keeps expanding.
The wave never stopped. 🌊
@SentientAGI | #SentientAGI
@shad_haq_ @scalpkripto
@qzxcle@0xsachi@hstyagi@abhishek095@sandeepnailwal