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Glory comes to those who believe |
web3 | blockchain | brain

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https://t.co/MQbkdt9B75

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@wedtm It seems they are the ones providing the liquidity needed to move the market. Without them, even a token with a strong project may struggle to gain traction because most buyers want to see momentum and trading activity before getting involved

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@0xsachi Gsenti

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@SentientAGI 10x incoming
Sentient is cooking

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@qzxcle Gsenti

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One thing I took away from this debate is that AI adoption is still in its relatively early stages globally.

This is why projects like @SentientAGI may be ahead of the curve, especially with their focus on open source and decentralized AI.

As AI becomes more widely adopted, transparency and user control could become increasingly important, which may lead many people to prefer open source AI over closed source alternatives.

[Sentient @SentientAGI]

Has Asia contributed more to AI than Europe?

Alfie and Antonio settle the score in the final episode of Arena Debates ↓

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@jonnyrewa @SentientAGI Thank you

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Open source AI will win
I am bullish on @SentientAGI

[Sentient Foundation @sentient_found]

What does our Co-Founder @hstyagi fear about AI?

His answer is exactly why open-source AI matters ↓

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@SentientAGI this is an interesting topic from sentient

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@qzxcle Open source will fix it

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@useboardwalk @inkonchain Is there a telegram group for the ink community launching tokens on board walk?

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@0xsachi AI credit for sure

[MW @qzxcle]

What's new at Sentient?

Here's my pick of the top 3 updates this week 👇

[Sentient Foundation @sentient_found]

What does our Co-Founder @hstyagi fear about AI?

His answer is exactly why open-source AI matters ↓

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@sentient_found @hstyagi Open source AI is the future
I am bullish

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@qzxcle sentient is cooking
Open AI is the future

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@SentientAGI So true
Open AI is the way to go

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@0xsachi @X Well said
Since I started focusing on AI and sentient tweet , my views on AI posts started to increase

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@Ol0ye God wen? 😞

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A lot of complex AI agents use RAG for tool filtering or prompt selection, yet there is very little public information about how it works in practice. @SentientAGI decided to address that by sharing insights from their experiments.

Sentient findings show that when agents have large toolsets, RAG-based filtering can improve tool selection, reduce failures and lower latency. Combined with parallel execution, it helps agents solve queries more efficiently without sacrificing answer quality.

[Sentient @SentientAGI]

Lots of complex production agents actually use RAG for tool filtering or prompt selection, and yet there is barely any information about it. We decided to fix that.

When your agent has 40+ tools, brute-force selection breaks down. We measured how embedding-based filtering and parallel execution cut failures by 29% and latency by 40% — and why 95% of queries now complete in ≤2 iterations.

Read more below ↓

[Sentient @SentientAGI]

Lots of complex production agents actually use RAG for tool filtering or prompt selection, and yet there is barely any information about it. We decided to fix that.

When your agent has 40+ tools, brute-force selection breaks down. We measured how embedding-based filtering and parallel execution cut failures by 29% and latency by 40% — and why 95% of queries now complete in ≤2 iterations.

Read more below ↓