waffle CLONE (Ø,G)

NFT: @alienfrens @ArtTokyoGlobal

[waffle CLONE (Ø,G) @CdalicosWeb3]

@Razu686336 @SentientAGI Awesome content you made bro

[waffle CLONE (Ø,G) @CdalicosWeb3]

@SMpharmacrypto @SentientAGI @Joelc_eth @shad_haq_ @vivekkolli All in sentient

[waffle CLONE (Ø,G) @CdalicosWeb3]

@SentientAGI
@scalpkripto
@mongdiny7
@kryptokratos
@lones0me_eth
@dakotaerza
@LeaderX_btc

[waffle CLONE (Ø,G) @CdalicosWeb3]

Building Confidential AI with Sentient Enclaves 🧵👇

1️⃣Overview
Trusted Execution Environments (TEEs) secure code & data, enabling confidential AI apps on AWS Nitro Enclave

[waffle CLONE (Ø,G) @CdalicosWeb3]

8️⃣Conclusion

Sentient Enclaves Framework offers reproducible, verifiable, secure TEE infrastructure for AI & crypto apps

[waffle CLONE (Ø,G) @CdalicosWeb3]

Here is the another partnership of sentient
TALUS X Sentient
Its huge

[Talus Labs @Talus_Labs]

https://t.co/LmLIv84l7S

[waffle CLONE (Ø,G) @CdalicosWeb3]

Its a great move sentient

[Sentient @SentientAGI]

The agentic economy needs real world proofs, programmable payments, and credible routing.

With Chainlink CRE, Sentient agents can tap verified price feeds, macro data, and cross chain state, then coordinate and settle autonomously. This plugs our open models into secure execution so agents think with proofs, respect constraints, and act with guardrails.

A concrete step toward an open, verifiable agentic economy.

[waffle CLONE (Ø,G) @CdalicosWeb3]

@goodonetree TGE soon?

[Valerii @goodonetree]

gSenti!

As part of 𝐖𝐞𝐞𝐤 𝟏𝟖 𝐨𝐟 𝐞𝐱𝐩𝐥𝐨𝐫𝐢𝐧𝐠 𝐒𝐞𝐧𝐭𝐢𝐞𝐧𝐭, today we’re diving into one of the deepest concepts in 𝐑𝐎𝐌𝐀 𝐯𝟎.𝟐.���� – how recursive thinking mirrors human problem-solving.

We never solve a complex problem all at once. When faced with something large, our brains automatically break it down into smaller pieces.
For example, when writing a research paper, we first gather data, then analyze it, organize our thoughts, and only then produce the final text.
This is a natural form of recursive thinking – when the outcome of a big idea is built through a sequence of smaller, interconnected steps.

𝐑𝐎𝐌𝐀 𝐯𝟎.𝟐.𝟎 brings this principle into the world of artificial intelligence.
It teaches agents to think not linearly but tree-like – to split large tasks into sub-tasks, solve them independently, and then merge the results into a coherent response.

💫 𝐇𝐨𝐰 𝐢𝐭 𝐰𝐨𝐫𝐤𝐬 𝐢𝐧 𝐒𝐞𝐧𝐭𝐢𝐞𝐧𝐭.

𝐑𝐎𝐌𝐀 uses a mechanism called recursive hierarchical decomposition, where the system doesn’t treat a query as a single task but creates a whole structure of sub-queries.

Each sub-query is solved in its own local context without memory overload, and the results are then aggregated through local aggregation.
Imagine an agent tasked with creating an analytical report on the DeFi market:

✅ One agent gathers data from multiple sources.
✅ Another analyzes the statistics.
✅ A third forms conclusions.
✅ A fourth checks the logic and consistency of results.

Each works independently within its own context, yet together they produce a unified, accurate outcome.

💫 𝐖𝐡𝐲 𝐢𝐭 𝐦𝐚𝐭𝐭𝐞𝐫𝐬.

In traditional systems, everything happened sequentially. One agent completed a task, then passed the result to the next. This slowed down the process and caused “context explosion,” where too much information began to hinder the system’s reasoning.

𝐑𝐎𝐌𝐀 𝐯𝟎.𝟐.𝟎 solves this through three key innovations:

✅ Local contexts: each agent sees only what’s necessary for its part of the job.
✅ Artifact memory: all intermediate results are stored as artifacts that can be reused without duplication.
✅ Parallel execution: independent sub-tasks run simultaneously, greatly improving speed and efficiency.

💫 𝐓𝐡𝐞 𝐡𝐮𝐦𝐚𝐧 𝐩𝐚𝐫𝐚𝐥𝐥𝐞𝐥.

This resembles how the human brain works: different regions process distinct types of information – vision, sound, language, logic – at the same time, and then the brain integrates it all into one coherent understanding.

Similarly, in 𝐑𝐎𝐌𝐀, agents think in different directions yet create a single harmonious result.

💫 𝐖𝐡𝐚𝐭 𝐢𝐭 𝐦𝐞𝐚𝐧𝐬 𝐟𝐨𝐫 𝐭𝐡𝐞 𝐟𝐮𝐭𝐮𝐫𝐞 𝐨𝐟 𝐒𝐞𝐧𝐭𝐢𝐞𝐧𝐭.

Recursive thinking isn’t just a technical trick. It’s a step toward building collective intelligence, where agents don’t just follow instructions but collaborate, reason, and learn together.

𝐑𝐎𝐌𝐀 𝐯𝟎.𝟐.𝟎 turns 𝐒𝐞𝐧𝐭𝐢𝐞𝐧𝐭 agents from tools into thinking components of a larger system that can scale its own mind and experience.

It’s the foundation for an open, self-organizing architecture of intelligence that evolves by the principle:
“𝑇ℎ𝑖𝑛𝑘 𝑙𝑖𝑘𝑒 𝑎 ℎ𝑢𝑚𝑎𝑛, 𝑎𝑐𝑡 𝑙𝑖𝑘𝑒 𝑎 𝑛𝑒𝑡𝑤𝑜𝑟𝑘.”

Do you think recursive thinking could be the key to open collective intelligence?
@SentientAGI

[waffle CLONE (Ø,G) @CdalicosWeb3]

@hamper_head @SentientAGI @smoothasfkk dope Dobby art

[waffle CLONE (Ø,G) @CdalicosWeb3]

Sentient moon soon

[Ozymandias @TraderOzy]

→ what is the total supply of @SentientAGI ?

according to the information we gathered from CoinMarket, Sentient’s total supply is:

• 34.35B.

contract address:

0x56A3BA04E95d34268A19b2a4474DC979baBDaf76

it was deployed on the Ethereum network:
• 5 months and 11 days ago.

the current number of holders is:
• 41.

the amount held by the TOP addresses is as follows:

• Address 1: 15%
• Address 2: 13%
• Address 3: 10%
• Address 4: 10%
• Address 5: 10%
• Address 6: 10%
• Address 7: 10%
• Remaining: 22%

how much of this do you think will be allocated to the community?

[waffle CLONE (Ø,G) @CdalicosWeb3]

@TraderOzy @SentientAGI Bullish vibes
34B supply, solid distro

[waffle CLONE (Ø,G) @CdalicosWeb3]

@minigummie @SentientAGI @SentientTurkiye good morning dobby ,have a nice day

[waffle CLONE (Ø,G) @CdalicosWeb3]

@Sabitbroo @SentientAGI @sentient_found @SentientAGI_vn @sentient_zh AGI airdrop cooking bullish AF, HODL tight