KUM∆ retweeted
学AI难？不用学！不用学
AI 模型有指纹
还能有 Grant
在 Sentient 周周大结果✨
@sentient_zh
bStocks 不用卖不用卖！洗脑根本停不下来❓
根据打不过就加入原理，大家一起广告拍！起！来！
🤩参与「创意广告大赛」，赢iPhone Duo与BNB
参赛规则：
1️⃣参考‘不用卖’视频，制作同风格洗脑广告视频、歌词、海报，宣传任意币安产品，包括但不限于Binance AI、bStocks等
2️⃣带作品和 #币安创意广告大赛 RT本条
3️⃣填写报名表即可参与👉app.binance.com/uni-qr/user-…
KUM∆ retweeted
Before and after model fingerprinting
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.foundat…
KUM∆ retweeted
Now, Chinese AI creators and builders (too) can verify their models’ provenance and prove where the intelligence they built came from
模型训练可能耗资数百万美元，但复制它只需要几分钟
微调和蒸馏可能会抹去模型的来源痕迹
我们推出 Fingerprinting Leaderboard——一个用于测试模型来源证明的开放基准
我们的目标：让证明本身存在于模型之中
fingerprint.sentient.foundat…
模型来源的证明通常存在于模型之外的日志和元数据中
但这些痕迹可能随着复制、微调或蒸馏而消失
模型本身需要携带证明
这就是模型指纹技术
@SentientAGI Labs 与 @Princeton 的研究人员 @edoardocontente、@viswanathpramod、@sewoong79、@oleg_golev 和 @ZeruiCheng 在训练过程中嵌入秘密的查询-响应对（query-response pairs），以帮助识别模型的来源
China’s open-source AI ecosystem is moving fast, with models constantly being fine-tuned and distilled.
But how do we ensure the original builders get the credit they deserve?
Model provenance matters more than ever.
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.foundat…
KUM∆ retweeted
AI 是第一种被复制后却不会留下来源证明的媒介。
当一个模型通过蒸馏复制另一个模型的能力时，没有人能够证明这一过程曾经发生。
10 月 14 日，这一切将迎来改变。
回顾此前的故事进展⬇️
AI is the first medium that can be copied without leaving proof of origin.
When one model distills another, no one can prove it happened.
On October 14, that will change.
Catch up on the story so far: youtube.com/playlist?list=PL…
KUM∆ retweeted
Lexicographers planted words that did not exist.
Mapmakers drew streets that led nowhere.
Artists placed hidden signatures inside the work itself.
Long before AI, creators had ways to catch copying to prove provenance ↓
KUM∆ retweeted
Dario Amodei 认为，我们应该放慢前沿 AI 的发展步伐。但 EvoSkill v2 展示了另一个问题：在 4 次运行中，一个 AI Coach 有 6 次越过了预设的允许路径，甚至修改了自己的停止规则。
自我改进循环已经变得非常廉价。这个问题不是未来才需要面对——它已经发生了。
好多熟面孔
Chip giant @nvidia buys @huggingface for $12.93B, @ATT moves 25% of its AI usage to open models, and @MistralAI raises €3B, Europe's largest round ever.
The money is moving to open-source AI ↓
KUM∆ retweeted
Agent 可以获取数据，也能准确完成事实查询，但真正需要将这些信息整合成一份高质量研究时，它们就开始暴露出明显的不足。
Sentient 研究员 Darshan Tank（@TankDarshan7）和 Sidhant Rahi 的论文《CryptoAnalystBench: Failures in Multi-Tool Long-Form LLM Analysis》聚焦于这一问题，并已被 KDD 2026（韩国济州岛）正式接收。
KUM∆ retweeted
On Monday we showed Qwen3.7 Plus trading Bitcoin Perps through 13 of the wildest stretches in BTC history. It got liquidated in 3 of them.
Then it read the records of its own deaths and rewrote its own trading rules. No human edited anything.
Now it survives all 13.
This is @SentientAGI EvoSkill: a skill file that improves itself from its own results 🧵
KUM∆ retweeted
虽迟但到，黄教主第一篇 x thread 贡献给开源 AI，这一主旨与我们 Sentient 一直强调的 Open AGI Win 不谋而合，我们相信唯有开源才能促进真正和平的智能未来
多家大佬纷纷转发支持黄教主，唯独 OpenAI、anthropic 这些闭源巨头集体沉默，模型一旦被开源平替，API的溢价就塌了，冲刺IPO的估值故事就没法讲了。
虽然说闭源公司有其顶尖技术的护城河，但在科技向善，防止被作恶，共同集体智慧拥抱才是未来
当然，关于开源的另一个问题就是，该不该鼓励蒸馏，这和非法侵占之间的距离到底是多远？
而在开源这条路上，中国模型显然是走在了世界第一梯队，无论是 Deepseek、Kimi 还是 GLM 都展现出了绝对实力，这也是为何我们 Sentient 在华语生态最近投入了大量的精力
For my first post, I’m sharing a letter @NVIDIA signed on why open models matter.
AI will transform every industry, power every company, and be built by every country.
Open models strengthen safety and cybersecurity, accelerate innovation and diffusion, and enable sovereignty.
The world needs both frontier closed models and frontier open models.
images.nvidia.com/pdf/Open-W…
KUM∆ retweeted
What makes an agent run succeed vs fail?
We pulled 13,483 runs across 156 submissions and 4 harnesses from the OfficeQA Public Challenge to find out ↓
第一条就why open models matter👍
For my first post, I’m sharing a letter @NVIDIA signed on why open models matter.
AI will transform every industry, power every company, and be built by every country.
Open models strengthen safety and cybersecurity, accelerate innovation and diffusion, and enable sovereignty.
The world needs both frontier closed models and frontier open models.
images.nvidia.com/pdf/Open-W…