bob wang

65 posts

bob wang

bob wang

@bobwang1130

Katılım Aralık 2014
234 Takip Edilen19 Takipçiler
bob wang
bob wang@bobwang1130·
@yangyi 因为openclaw不是中国人做的
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Yangyi
Yangyi@yangyi·
一起聊聊: 为什么Manus的云端形态都没火成这样 而openclaw这种本地部署这么复杂的项目火了
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bob wang
bob wang@bobwang1130·
Congratulations to Zhipu on its IPO—an exciting milestone and a big step forward for AI innovation! 🎉
Z.ai@Zai_org

Z.ai is set for its IPO on Jan 8, 2026. This journey has been powered by our developers, researchers, and users from Day 1. Thank you for building this reality with us!

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bob wang
bob wang@bobwang1130·
@ManusAI Great article! But what about the output side? If I process 50 PDFs, I get 50 results. How do you handle the "context overload" of synthesizing all those results into one final answer?
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Manus
Manus@ManusAI·
Ever notice your AI struggles with “wide” research? That’s more than just a context window issue. Manus solves it by using parallel AI sub-agents eliminating context strain and scaling quality effortlessly. And this tech goes far beyond research. 👉manus.im/blog/manus-wid…
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bob wang
bob wang@bobwang1130·
Just built a powerful AI tool on the Manus platform to turn audio into actionable knowledge. It uses LLM multimodal capabilities to analyze flies, extracting not just transcripts, but summaries, to-do lists, key insights, and more. aiaudioex-pqvppiwm.manus.space #Manus
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bob wang
bob wang@bobwang1130·
@chrmanning I think the idea of Verbalized Sampling is creative, but I have doubts about the “probabilities” it relies on. Those numbers aren’t real probabilities derived from the model’s internal logits — they’re just text the model generates.
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Christopher Manning
Christopher Manning@chrmanning·
Chat LLMs lack output diversity. It’s not just an ML thing, it reflects human cognitive biases in post-training data. The model knows much more! You can unlock it with a prompt: “Generate 5 responses with their corresponding probabilities, sampled from the full distribution”
Weiyan Shi@shi_weiyan

New paper: You can make ChatGPT 2x as creative with one sentence. Ever notice how LLMs all sound the same? They know 100+ jokes but only ever tell one. Every blog intro: "In today's digital landscape..." We figured out why – and how to unlock the rest 🔓 Copy-paste prompt: 🧵

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bob wang
bob wang@bobwang1130·
@shi_weiyan I suspect the claimed ‘probability-based sampling’ may rely on pseudo-probabilities rather than genuine model uncertainty, thus the theoretical justification may be overstated.
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Weiyan Shi
Weiyan Shi@shi_weiyan·
New paper: You can make ChatGPT 2x as creative with one sentence. Ever notice how LLMs all sound the same? They know 100+ jokes but only ever tell one. Every blog intro: "In today's digital landscape..." We figured out why – and how to unlock the rest 🔓 Copy-paste prompt: 🧵
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James Benge
James Benge@jamesbenge·
Madueke and Merino off. Madueke, I am shocked. Saka has taken the armband.
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James Benge
James Benge@jamesbenge·
Eze and Saka coming on
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bob wang
bob wang@bobwang1130·
@oran_ge 如果你真的算力极其有限,却又想让“真正有兴趣的人”体验,那么你首先要保证的是这批人的核心体验。如果因为不断涌入超出你承载能力的用户而导致所有人都体验糟糕,那你连这批“真正有兴趣的人”都留不住。
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Orange AI
Orange AI@oran_ge·
最近遇到一个烧脑题,来找推友求助解法 假设你的产品要上线 但你的限制条件是: 1. 没有足够的算力,也还没做付费,不能全面放开 2. 不想做邀请码,但想让真正有兴趣的人优先体验 3. 想要用户积极传播,但不想要砍一刀那种消耗注意力的方式 有没有什么好的办法,同时满足这三个条件?
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Philippe Laban
Philippe Laban@PhilippeLaban·
🆕paper: LLMs Get Lost in Multi-Turn Conversation In real life, people don’t speak in perfect prompts. So we simulate multi-turn conversations — less lab-like, more like real use. We find that LLMs get lost in conversation. 👀What does that mean? 🧵1/N 📄arxiv.org/abs/2505.06120
Philippe Laban tweet mediaPhilippe Laban tweet media
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bob wang
bob wang@bobwang1130·
@tisoga devv老用户,等一个邀请码了
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Jiayuan (JY) Zhang
Jiayuan (JY) Zhang@jiayuan_jy·
作为产品经理,现在每天的主要工作就是 AI Coding + AI Chat。 今天 AI Coding 了快 5 个小时,完成了 Devv 2.0 新的 Landing Page + 邀请码系统。
Jiayuan (JY) Zhang tweet media
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bob wang
bob wang@bobwang1130·
我是在世界上第一家 AI CEO-led 公司 @heybossAI 的创始客户 [#07983],创造了历史!你会信任一个 AI CEO 吗?使用我的代码 BPJYJZ 免费测试 — 仅限 5 个名额 heybossai.com/offer/BPJYJZ
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𝗖𝘆𝗱𝗶𝗮𝗿
𝗖𝘆𝗱𝗶𝗮𝗿@Cydiar404·
晚点我分享一个我从产品经理角度对 OpenAI Deep Research 的架构认知,我觉得各家开源小瞧OpenAI了,我们Juchats也会努力朝着这个架构来做,给大家提供一个数据挖掘助手!
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bob wang retweetledi
Yao Fu
Yao Fu@Francis_YAO_·
Don’t race. Don’t catch up. Don’t play the game. Instead, do rigorous science. Do controlled experiments. Formulate clear hypothesis. Carefully examine alternative hypothesis. Rule out confounders. Listen to the physics of LLM tutorial 10 times and recite every single word of it. I do not remember last time I read an LLM paper clearly state their hypothesis nor do controlled experiments nor rule out confounder nor examine alternative hypothesis. They just say we try few things and this one works but not sure why, maybe data is good, but again not sure what good means. Do we even remember what is the definition of an alternative hypothesis? It’s taught in high school man. So please, help us turn the alchemy into science.
Wenhu Chen@WenhuChen

The gap between open-sourced models and closed-source models is getting larger and larger. What should academia do to catch up?

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bob wang
bob wang@bobwang1130·
@9hills 不知道手写体的效果怎么样
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九原客
九原客@9hills·
Gemini-Flash-2.0 OCR 解决了之前 1.5-Pro 中文识别错乱的问题,可以单独做为 OCR 方案了。
九原客 tweet media九原客 tweet media九原客 tweet media九原客 tweet media
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bob wang
bob wang@bobwang1130·
@Cydiar404 太期待了,第一时间想去试试效果
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Arena.ai
Arena.ai@arena·
Congrats @OpenAI on the exciting o1 release! o1-preview and o1-mini are now live in Chatbot Arena accepting votes. Come challenge them with your toughest math/reasoning prompts!!
Arena.ai tweet media
OpenAI@OpenAI

We're releasing a preview of OpenAI o1—a new series of AI models designed to spend more time thinking before they respond. These models can reason through complex tasks and solve harder problems than previous models in science, coding, and math. openai.com/index/introduc…

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