Sentient

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@SentientAGI

To ensure that Artificial General Intelligence is open-source and not controlled by any single entity. @SentientEco @OpenAGISummit

San Francisco, CA sentient.xyz Joined February 2024

70 Following 502K Followers 2.9K Posts

Latest posts 5

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Sentient @SentientAGI 4d

EvoSkill v2: same AI, better instructions.

Provide the tasks, data, and success checks, and let EvoSkill rewrite your agent’s skills from practice attempts.

In one use case, that meant better spreadsheet and banking agents, without changing the model.

0:49

Sentient @SentientAGI 3d

2 months.

That’s all that separates open-source AI from the frontier ↓

Sentient Foundation Verified account @sentient_found 3d

Kimi K3.1 Pro ranks just behind Opus 5.5 & GPT-6 Astra at a lower cost, @liquidai ships a new model built for on-device AI, and @ArtificialAnlys finds open weights are only 2 months behind closed models. x.com/i/article/2113…
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Sentient @SentientAGI 5d

As open-source and Chinese models catch up @sentient_found’s @0xsachi believes that slowing AI for safety is “difficult and almost impossible.”

Instead, improve test hygiene, a lesson from an earlier EvoSkill run that shaped the release of v2.

Full story on @Investingcom: investing.com/analysis/the-a…

Sentient Verified account @SentientAGI 6d

Introducing EvoSkill v2: a system that automatically improves AI agent skills without changing the underlying model or runtime. It tests the agent, learns from its attempts, and rewrites its instructions to improve performance.

Our new paper compares EvoSkill v2 with SkillOpt by @MSFTResearch and SkillBoost by @AlibabaGroup on held-out tasks, reporting:

+23.6pts on τ3-bench banking with no skill, using Claude Haiku 5.5
+7.7pts over SkillOpt on SpreadsheetBench v2
+5.4pts over SkillOpt on τ3-bench banking

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Sentient @SentientAGI 6d

Introducing EvoSkill v2: a system that automatically improves AI agent skills without changing the underlying model or runtime. It tests the agent, learns from its attempts, and rewrites its instructions to improve performance.

Our new paper compares EvoSkill v2 with SkillOpt by @MSFTResearch and SkillBoost by @AlibabaGroup on held-out tasks, reporting:

+23.6pts on τ3-bench banking with no skill, using Claude Haiku 5.5
+7.7pts over SkillOpt on SpreadsheetBench v2
+5.4pts over SkillOpt on τ3-bench banking

Sentient @SentientAGI Oct 29

A step-by-step demo on submitting your fingerprints.

Put your scheme to the test and see how well your LLM model can survive copying and distillation while retaining model performance ↓

1:59

Sentient Foundation Verified account @sentient_found Oct 14

Models cost millions to train and minutes to copy. Fine-tuning and distillation can erase where they came from.

Introducing the Fingerprinting Leaderboard, an open benchmark for model provenance — built so the proof lives in the weights, not the paperwork.

fingerprint.sentient.foundation

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