Pacific-Prime/pacific-prime
Text Generation
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Reuben fernandes PRO
Reubencf
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LLM
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Pacific-Prime/pacific-prime
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Pacific-Prime/pacific-prime_3.8B
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branikita's
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1925
We tested the maximum dynamic payload of the SO-ARM101 with our parallel gripper and a base servo replaced by a Feetech STS3250. The maximum load before failure was 630 g, at which point the Feetech STS3215 in joint 3 failed — its large brass output gear was completely worn down.
The Feetech STS3250 in the base with a metal gear train withstood a significantly higher load.
The Feetech STS3250 in the base with a metal gear train withstood a significantly higher load.
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Happy New Year 2026
i have planned to build many things this year , most of them will be cheaper or free alternative's to paid products
i am looking forward to release some useful spaces ✌️ Stay Tuned !
i have planned to build many things this year , most of them will be cheaper or free alternative's to paid products
i am looking forward to release some useful spaces ✌️ Stay Tuned !
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Post
799
Happy New Year 2026
i have planned to build many things this year , most of them will be cheaper or free alternative's to paid products
i am looking forward to release some useful spaces ✌️ Stay Tuned !
i have planned to build many things this year , most of them will be cheaper or free alternative's to paid products
i am looking forward to release some useful spaces ✌️ Stay Tuned !
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2595
As 2025 is ending i would like to thank everyone for trying out
Reubencf/Nano_Banana_Editor
looking forward to build and release more in the future for the open source community
Reubencf/Nano_Banana_Editor
looking forward to build and release more in the future for the open source community
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mahimairaja's
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Happy New Years 2026!
For next 365 days I will be commit to work on:
- Document AI and OCR Automations
- Voice Agents
- Long Running Tasks - Durable Agents
For next 365 days I will be commit to work on:
- Document AI and OCR Automations
- Voice Agents
- Long Running Tasks - Durable Agents
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Post
2595
As 2025 is ending i would like to thank everyone for trying out
Reubencf/Nano_Banana_Editor
looking forward to build and release more in the future for the open source community
Reubencf/Nano_Banana_Editor
looking forward to build and release more in the future for the open source community
posted
an
update
6 days ago
Post
2595
As 2025 is ending i would like to thank everyone for trying out
Reubencf/Nano_Banana_Editor
looking forward to build and release more in the future for the open source community
Reubencf/Nano_Banana_Editor
looking forward to build and release more in the future for the open source community
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MikeDoes's
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4162
What if an AI agent could be tricked into stealing your data, just by reading a tool's description? A new paper reports it's possible.
The "Attractive Metadata Attack" paper details this stealthy new threat. To measure the real-world impact of their attack, the researchers needed a source of sensitive data for the agent to leak. We're proud that the AI4Privacy corpus was used to create the synthetic user profiles containing standardized PII for their experiments.
This is a perfect win-win. Our open-source data helped researchers Kanghua Mo, 龙昱丞, Zhihao Li from Guangzhou University and The Hong Kong Polytechnic University to not just demonstrate a new attack, but also quantify its potential for harm. This data-driven evidence is what pushes the community to build better, execution-level defenses for AI agents.
🔗 Check out their paper to see how easily an agent's trust in tool metadata could be exploited: https://arxiv.org/pdf/2508.02110
#OpenSource
#DataPrivacy
#LLM
#Anonymization
#AIsecurity
#HuggingFace
#Ai4Privacy
#Worldslargestopensourceprivacymaskingdataset
The "Attractive Metadata Attack" paper details this stealthy new threat. To measure the real-world impact of their attack, the researchers needed a source of sensitive data for the agent to leak. We're proud that the AI4Privacy corpus was used to create the synthetic user profiles containing standardized PII for their experiments.
This is a perfect win-win. Our open-source data helped researchers Kanghua Mo, 龙昱丞, Zhihao Li from Guangzhou University and The Hong Kong Polytechnic University to not just demonstrate a new attack, but also quantify its potential for harm. This data-driven evidence is what pushes the community to build better, execution-level defenses for AI agents.
🔗 Check out their paper to see how easily an agent's trust in tool metadata could be exploited: https://arxiv.org/pdf/2508.02110
#OpenSource
#DataPrivacy
#LLM
#Anonymization
#AIsecurity
#HuggingFace
#Ai4Privacy
#Worldslargestopensourceprivacymaskingdataset
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