Shows
AI Post TransformersDAK: Direct GPU Memory Offloading for LLMsThis episode explores DAK, a Cornell systems paper arguing that LLM inference on tiered-memory machines can be faster when offloaded weights and KV-cache blocks are fetched directly into on-chip shared memory instead of being prefetched and staged through GPU HBM. It breaks down the tradeoffs among HBM capacity, HBM bandwidth, KV-cache growth during decoding, and prior approaches such as FlexGen, vLLM’s PagedAttention, and emerging KV offload systems like LMCache. The discussion focuses on DAK’s core technical idea: using Hopper’s Tensor Memory Accelerator inside custom GEMM and FlashAttention kernels so data movement and computation are co-designed, reducing bounce buffer...
2026-06-2700 min
Fluent Fiction - Mandarin ChineseSecrets and Shadows: Li Wei's Quest in the Imperial PalaceFluent Fiction - Mandarin Chinese: Secrets and Shadows: Li Wei's Quest in the Imperial Palace Find the full episode transcript, vocabulary words, and more:fluentfiction.com/zh/episode/2026-06-22-22-34-02-zh Story Transcript:Zh: 阳光明媚的夏天，皇宫的琉璃瓦在阳光下闪闪发光，紫禁城显得格外壮丽。En: On a bright summer day, the glazed tiles of the huanggong shone brilliantly under the sun, making the Zijincheng appear exceptionally magnificent.Zh: 龙舟节到了，朝廷官员和贵宾们齐聚一堂，感受节日的欢乐气氛。En: The Dragon Boat Festival had arrived, and court officials and distinguished guests gathered to enjoy the festive atmosphere.Zh: 李伟，一位年轻的学者，站在紫禁城的大殿前。En: Li Wei, a young scholar, stood before the grand hall of the Zijincheng.Zh: 他的心中充满期待和紧张。En: His heart was filled with anticipation and nervousness....
2026-06-2316 min
AI Post TransformersLing and Ring 2.6 for Trillion-Scale AgentsThis episode explores Inclusion AI’s Ling and Ring 2.6 technical report, which asks how a trillion-parameter model can stay fast, handle very long contexts, and remain dependable in multi-step agent workflows. It explains why agentic AI makes latency and token costs much more painful than in ordinary chat, especially when models must carry long instruction traces, tool outputs, and large working contexts through repeated reasoning loops. The discussion breaks down the report’s core architectural changes, including a Lightning Attention and MLA hybrid with a 7:1 layer mix, designed to reduce attention cost and KV-cache memory without sacrificing model quality. It also...
2026-06-1800 min
AI Post TransformersOpenSkill for Open-World Self-Evolution in LLM AgentsThis episode explores OpenSkill, a framework for LLM agents that tries to improve behavior after deployment by building durable, reusable skills from public evidence rather than retraining model weights. It explains how the paper separates ordinary tool use from open-world self-evolution, arguing that the key challenge is not just acting with browsers and code, but turning documentation, repositories, papers, and tutorials into explicit procedures and verification checks. The discussion focuses on the paper’s central claim that agents can create their own proxy tests through grounded verification anchors without leaking hidden benchmark answers, and compares that approach with earlier systems li...
2026-06-1800 min
Daily Paper CastAgents' Last Exam
🤗 Upvotes: 115 | cs.AI, cs.CL, cs.LG
Authors:
Yiyou Sun, Xinyang Han, Weichen Zhang, Yuanbo Pang, Tianyu Wang, Yuhan Cao, Yixiao Huang, Chris Duroiu, Haoyun Zhang, Jeffrey Lin, Weishu Zhang, Tyler Zeng, Ying Yan, Bo Liu, Hanson Wen, Mingyang Xu, Xiaoyuan Liu, Zimeng Chen, Weiyan Shi, Amanda Dsouza, Vincent Sunn Chen, Patrick Bryant, Carl Boettiger, Yamini Rangan, Bradley Rothenberg, Kyle Steinfeld, Arvind Rao, Tapio Schneider, Georgios Yannakakis, Laure Zanna, Kaan Ozbay, Ida Sim, Tarek Zohdi, George Em Karniadakis, Jack Gallant, Teresa Head-gordon, Yushan Li, Wenxi Deng, Tao Sun, Huiqi Wang, Zhun Wang, Justin Xu, Chris Yuhao Liu...
2026-06-1025 min
AI Post TransformersVeriCache: Lossless LLM Inference from Lossy KV CachesThis episode explores VeriCache, a systems paper that asks whether a large language model can draft tokens using a compressed, lossy KV cache and then verify them against the full cache to recover exactly the same greedy-decoding output. It explains why KV cache size has become a central bottleneck in long-context inference, unpacking token dropping, KV quantization, prefix caching, and the speculative decoding ideas that VeriCache turns into a closed-loop draft-and-verify scheme. The discussion argues that fluency is not enough for real deployments because even a single wrong token can break code, structured JSON, or tool calls, so exact token-by-token...
2026-06-0500 min
AI Post TransformersBeluga: CXL Memory Pooling for LLM KV CacheThis episode explores Beluga, a systems paper that tackles one of the biggest practical bottlenecks in long-context LLM inference: how to store and retrieve massive KV caches when GPU memory is no longer enough. It explains why traditional RDMA-based memory disaggregation is cumbersome and how Beluga uses CXL-based pooled memory to give GPUs and CPUs more direct, load/store-style access to shared cache data, reducing copies, staging, and synchronization overhead. The discussion digs into the architecture’s tradeoffs, including the fact that CXL is still slower than local HBM or DRAM, but argues that its simpler access model can still de...
2026-05-2700 min
AI Post TransformersServing MoE Models with Disaggregated Expert ParallelismThis episode explores MegaScale-Infer, a systems paper on serving large mixture-of-experts language models by separating the attention path from the expert feed-forward path and scheduling them independently. It explains why MoE models can look efficient on paper yet still waste GPU capacity in practice, especially during decode, where KV-cache-heavy attention and uneven expert routing create very different bottlenecks. The discussion focuses on the paper’s core argument for disaggregated expert parallelism and a ping-pong microbatch pipeline designed to keep both attention and expert GPUs busy instead of leaving one side idle. Listeners would find it interesting for its clear look at...
2026-05-1900 min
AI Post TransformersAffordable Large-Scale Decoding Through Model-System Co-DesignThis episode explores the paper’s claim that decoding cost in large language models is driven less by raw parameter counts and more by hardware-level behavior during autoregressive generation, especially memory bandwidth pressure from the KV cache. It explains why metrics like total or activated parameters can be misleading cost proxies, and walks through the tradeoffs among standard attention, grouped-query variants, and newer approaches such as MFA that aim to preserve expressive power while reducing cache overhead. The discussion also highlights the paper’s central systems argument: attention and FFN layers have very different performance bottlenecks, so separating them through Atte...
2026-05-1900 minDaily Paper CastMinT: Managed Infrastructure for Training and Serving Millions of LLMs
🤗 Upvotes: 144 | cs.LG, cs.AI, cs.DC
Authors:
Mind Lab, :, Song Cao, Vic Cao, Andrew Chen, Kaijie Chen, Cleon Cheng, Steven Chiang, Kaixuan Fan, Hera Feng, Huan Feng, Arthur Fu, Jun Gao, Hongquan Gu, Aaron Guan, Nolan Ho, Mutian Hong, Hailee Hou, Peixuan Hua, Charles Huang, Miles Jiang, Nora Jiang, Yuyi Jiang, Qiuyu Jin, Fancy Kong, Andrew Lei, Kyrie Lei, Alexy Li, Lucian Li, Ray Li, Theo Li, Zhihui Li, Jiayi Lin, Kairus Liu, Kieran Liu, Logan Liu, Xiang Liu, Irvine Lu, Maeve Luo, Runze Lv, Pony Ma, Verity Niu, Anson Qiu, Vincent Wang, Rio Yang, Max...
2026-05-1523 min
La izakaya:dramas y cultura asiáticaMan´s inhumanity to man /La inhumanidad del hombre para con el hombre: un cdrama sobre la unidad 731ADVERTENCIA: ALGUNOS TEMAS DE ESTE PROGRAMA PUEDEN HERIR LA SENSIBILIDAD DE LOS OYENTES.Estrenado en China el día del homenaje a las víctimas de la masacre de Nanjing, “Man´s inhumanity to man”/La inhumanidad del hombre para con el hombre se convirtió en una de las series más vistas. Algo que tal vez nos puede extrañar a los occidentales, porque trata una temática tan difícil como los experimentos en humanos de la unidad 731 del ejército japonés, al mando del general Ishii Shirō, en Manchuria durante el periodo de o...
2026-05-1555 min
AI Post TransformersLossless Sparse Deltas for RL NetworksThis episode explores a systems paper on making reinforcement-learning post-training for large language models practical over ordinary Ethernet and even WAN links, rather than requiring expensive RDMA clusters. It explains why trainer-actor RL creates a synchronization bottleneck, how full policy refreshes can dominate runtime on 1 to 10 gigabit networks, and why that turns bandwidth into a hidden limiter of who can run serious RL workloads. The discussion centers on the paper’s proposed solution: lossless sparse delta checkpoints that send only changed parameters, along with carefully encoded indices, streamed in parallel with rollout generation so actors can reconstruct the exact updated mo...
2026-05-1500 min
AI Post TransformersTMAS: Scaling Test-Time Compute with Multi-Agent SynergyThis episode explores TMAS, a framework for scaling test-time reasoning by coordinating multiple specialized agents instead of simply letting a single model think longer. It explains how the system combines proposal, verification, refinement, and shared hierarchical memory so that useful intermediate results and higher-level strategy guidance can be reused across parallel reasoning attempts. The discussion highlights the paper’s central argument that better orchestration, careful memory design, and reinforcement learning objectives for exploration and productive memory use can turn extra inference compute into genuine reasoning gains rather than redundant or noisy work. Listeners would find it interesting for its clear co...
2026-05-1400 min
AI Post TransformersQwen-Image-2.0 for Unified Generation and EditingThis episode explores the Qwen-Image-2.0 technical report and its central claim that a single unified multimodal diffusion model can handle high-quality image generation, precise image editing, multilingual text rendering, ultra-long text, and complex instruction following in one system. It traces the technical background from vision transformers and latent diffusion through newer editing and text-rendering methods, explaining why image editing is fundamentally harder than generation because users expect strict preservation of identity, layout, and other details. The discussion emphasizes that text in images remains a stubborn problem because models must treat letters as exact symbols rather than visual texture, especially for...
2026-05-1300 min
EasyVibeCoding Podcast@lightseekorg：TokenSpeed 推出，實現 TensorRT LLM 等級效能與 vLLM 等級易用性。
LightSeek Foundation 於 2026 年…TokenSpeed 推出，實現 TensorRT LLM 等級效能與 vLLM 等級易用性。
LightSeek Foundation 於 2026 年 5 月 6 日發布 TokenSpeed，一款專為 Agentic 程式開發工作負載設計的超高速 LLM 推論引擎，由精簡團隊在兩個月內建置完成，MIT 授權開源。該引擎針對程式開發 Agent 的高需求情境優化，透過編譯器支援的平行處理、高效能排程器、安全 KV 資源重用，以及異質加速器相容的模組化核心系統，提供極致推論速度。
開發背景與定位
Agentic 程式開發已從演示快速擴展為重塑軟體開發與前沿人工智慧系統建置部署的強大力量，如 Claude Code、Codex 和 Cursor 等系統獲得大量使用者採用，產生巨量 token。為因應此成長，資料中心正興建需數十吉瓦功率的設施，投資達數千億美元規模。在此規模下，模型推論協調系統的效率至關重要，即使 GPU 每單位吞吐量的小幅提升，在生產叢集應用時也能帶來大量容量節省，同時滿足不斷增長的需求。TokenSpeed 從第一原理設計，專攻 agentic-inference 情境，強調「光速推論」。
核心架構設計
TokenSpeed 採用本地 SPMD (Single Program, Multiple Data) 設計，平衡效能與易用性，讓開發者能在模組邊界指定 I/O 配置註解，轻量靜態編譯器自動產生所需集體運算，無需手動實作通訊邏輯。
排程器將控制平面與執行平面分離：控制平面以 C++ 實作為有限狀態機 (FSM)，結合類型系統在編譯時強制安全資源管理，包括 KV 快取狀態轉移與使用，避免運行時錯誤；請求生命週期、KV 快取資源與重疊時序透過明確 FSM 轉換與擁有權語義表示，正確性由可驗證控制系統保障，而非慣例。執行平面則以 Python 實作，維持開發效率，加速功能迭代並減輕研究員與工程師認知負荷。
核心層將核心與引擎分離，視為一級模組子系統，提供可攜式公開 API、集中註冊與選擇模型、組織化實作、可擴展 plugin 機制支援異質加速器、精選依賴與統一基礎設施。特別針對 NVIDIA Blackwell 平台大力優化，例如打造 agentic 工作負載下最快的 MLA (Multi-head Latent Attention) 核心；在解碼核心中，將 qseqlen 與 numheads 群組，以充分利用 Tensor Cores（因某些情境 num_heads 較小）；二進位預填充核心包含微調 softmax 實作。TokenSpeed MLA 已獲 vLLM 採用。
效能預覽與基準測試
開發自 2026 年 3 月中旬啟動，目前為效能預覽版本，引擎與核心持續開發，生產強化預計下個月完成，多項 PR 即將合併。程式開發 Agent 帶來極端推論負載：上下文常超 50K token，對話橫跨數十輪回合，多數公開基準無法完整捕捉此行為。LightSeek 與 EvalScope 團隊使用 SWE-smith traces 評估，模擬生產程式開發 Agent 流量；目標為最大化每 GPU TPM (tokens per minute)，同時維持每使用者 TPS (tokens per second) 底線——典型 70 TPS，有時達 200 TPS 或更高。
基準針對 NVIDIA Blackwell 上的 TensorRT-LLM（當前最先進），在 agentic 工作負載尋求更好權衡。以下為 Kimi K2.5 在不同部署配置（無 PD 分離）的 Pareto 曲線，以 TPS/User（x 軸，延遲指標）對 TPM/GPU（y 軸，吞吐指標），透過掃描併發度描繪。
對於程式開發 Agent（>70 TPS/User），最佳配置為 Attention TP4 + MoE TP4，TokenSpeed 在整個 Pareto 前沿主宰 TensorRT-LLM：最小延遲情境（batch size 1）約快 9%，約 100 TPS/User 時吞吐高 11%。
TokenSpeed MLA 優化對比 TensorRT-LLM MLA（Blackwell 最先進）：二進位預填充核心使用 NVIDIA 內部旋鈕微調 softmax，在五種典型程式開發 Agent 預填充工作負載（長前綴 KV 快取）全面超越；解碼核心將查詢序列軸摺疊至頭軸，更佳填充 BMM1 M 圖塊，提升 Tensor Core 使用率。結合其他優化，在典型解碼工作負載（投機解碼，batch sizes 4、8、16 配長前綴 KV 快取）延遲幾乎減半。
效能圖表 顯示 TokenSpeed 在 B200 上運行 Kimi K2.5 與 TokenSpeed MLA 的結果。
當前狀態與未來工作
此版本為預覽釋出版本，用以重現 TokenSpeed 部落格 中 Kimi K2.5 on B200 與 TokenSpeed MLA on B200 結果，多項重大 PR 尚未合併。進行中工作包括：
模型涵蓋：Qwen 3.6、DeepSeek V4、MiniMax M2.7。
運行時功能：PD、EPLB、KV store、Mamba cache、VLM、指標。
平台優化：Hopper 優化、MI350 優化及相關運行時改進。
這些功能正清理中，將於未來數週合併至 main 分支。目前重度開發中，僅用於展示新運行時設計與技術方向，勿用於生產部署。
文件與入門指南
完整文件見 文件索引。快速入門連結：
入門指南
啟動伺服器
模型配方
伺服器參數
相容參數
平行處理
GitHub 儲存庫：https://github.com/lightseekorg/tokenspeed。
合作與致謝
TokenSpeed 不可能無團隊支持實現，感謝 @nvidia、@AMD、@AlibabaQwen、@togethercompute、Mooncake @KTProjectAI、@MeituanLongCat 與 FluentLLM 的貢獻；計算資源支持來自 @sama、@gdb、NVIDIA、AMD、@verdacloud 與 @nebiusai。感謝 EvalScope @ModelScope2022 的基準測試合作，以及 @vllm_project 支持 TokenSpeed MLA 採用。
開發合作單位包括 NVIDIA DevTech、AMD Triton、Qwen Inference、Together AI、Mooncake、LongCat、FluentLLM、EvalScope、NVIDIA Dynamo 與 LightSeek Foundation。感激 TensorRT-LLM 維護者，其工作設定了我們衡量標準，多項優化受其啟發，如 one-CUDA-graph 優化與前向傳遞優化；也感謝開源推論社群，包括 Triton、FluentLLM、vLLM、EvalScope、FlashInfer、SGLang 等，提升生產 LLM 服務天花板。計算支持來自 OpenAI、NVIDIA、AMD、Verda 與 Nebius。
貢獻者名單
共同創作者：Enwei Zhu、Jiying Dong、Xipeng Li (NVIDIA) · Pengzhan Zhao、Kyle Wang、Lei Zhang (AMD) · Jiandong Jiang、Tuan Zhang、Minmin Sun (Qwen Inference) · Jue Wang、Yineng Zhang (Together AI) · Hongtao Chen、Mingxing Zhang (Mooncake) · Bo Wang、Fengcun Li (LongCat) · Xiangyang Ji、Yulei Qian (FluentLLM)。
核心運行時：排程器——Yulei Qian、Fengcun Li、Bo Wang；核心——Lei Zhang、Pengzhan Zhao、Kyle Wang；建模——Yulei Qian、Xiangyang Ji、Jue Wang；MLA——Albert Di、Jiying Dong；文法與取樣——Jue Wang、Weicong Wu；MoE——Hongtao Chen；VLM——Hongtao Chen、Fengcun Li、Bo Wang。
模型優化：Kimi K2.5 光
2026-05-0606 min
AI Post TransformersTraining LLMs for Divide-and-Conquer ReasoningThis episode explores a paper arguing that language models can reason more effectively at test time if they are trained to use divide-and-conquer strategies instead of defaulting to a single linear chain of thought. It explains the core distinction between ordinary step-by-step reasoning and structured decomposition into subproblems, then situates that idea alongside prior work such as Tree of Thoughts, Least-to-Most prompting, self-consistency, and recent reasoning-focused post-training. The discussion highlights the paper’s main claim that current post-training regimes bias models toward linear reasoning habits, which can make naive divide-and-conquer prompting underperform unless the decomposition behavior itself is explicitly trained. A...
2026-05-0400 min
AI Post TransformersRecursive Multi-Agent Systems in Latent SpaceThis episode explores a 2026 paper on recursive multi-agent systems that asks whether AI collaboration can scale better by replacing text-based agent communication with shared latent-state updates. It explains the difference between agent topology, assigned roles, and communication channels, and argues that natural language may be a costly bottleneck compared with the richer internal representations models use during reasoning. The discussion connects this idea to earlier multi-agent chat frameworks, classic transformer architectures, and recent test-time compute work on latent recurrent refinement. Listeners would find it interesting because it frames a sharp debate between today’s practical, inspectable text-first agent workflows and a...
2026-05-0200 min
AI Post TransformersDeltaKV: Compressing KV Caches for Long ContextThis episode explores DeltaKV, a method for reducing the huge GPU memory burden of KV caches in long-context language model inference without simply discarding old tokens. It contrasts three strategies for handling long contexts: token eviction, dynamic sparse attention, and true compression, arguing that the cache contains structured redundancy that can be exploited rather than treated as disposable overhead. The discussion highlights DeltaKV’s core idea of keeping a small uncompressed reference set and storing other cache entries as compressed residuals relative to similar past states, drawing an analogy to delta encoding or version control. Listeners would find it interesting be...
2026-05-0200 min
AI Post TransformersBreaking the Prefix Barrier with Shared KV CacheThis episode explores a 2026 paper proposing that multiple LLM agents should share transformer KV-cache state, not just text, so they can avoid repeatedly paying the prefill cost of rereading the same plans, critiques, and intermediate outputs. It explains the systems background behind prefix caching, vLLM’s PagedAttention, and SGLang, then focuses on why multi-agent workflows break the exact-prefix assumption and make segment-level reuse much harder. The discussion highlights the paper’s core technical tension: the idea is compelling, but reusing cached activations across different prompt positions is fragile because of positional encoding effects such as RoPE misalignment and attention behavior. List...
2026-04-3000 min
AI Post TransformersKimi K2.5 and Visual Agent SwarmsThis episode explores Moonshot AI’s KIMI K2.5, a 2026 multimodal model that aims to improve text reasoning, visual understanding, and agent-style task execution within a single open system. It explains the paper’s two main bets: training text and vision jointly from early stages rather than bolting vision on later, and using an external “agent swarm” orchestration layer to split wide-search tasks across parallel sub-agents. The discussion compares these ideas to earlier vision-language systems and multi-agent frameworks, while also questioning whether the reported gains in quality, latency, and cross-modal robustness are fully supported by the evidence. Listeners would find it interest...
2026-04-2500 min
AI Post TransformersScoutAttention for Efficient KV Cache OffloadingThis episode explores ScoutAttention, a systems paper on speeding up long-context LLM inference by managing KV cache growth more intelligently instead of treating it as a pure memory-capacity problem. It explains why long prompts, retrieval-heavy inputs, and extended reasoning traces make decoding increasingly constrained by memory traffic, and why simply offloading cache data to CPU memory can still leave GPUs stalled. The discussion focuses on the paper’s core idea: keep dense, high-speed attention on GPU, let the CPU handle only a pruned sparse set of offloaded KV blocks, and use layer-ahead CPU pre-computation plus asynchronous overlap to reduce waiting. Li...
2026-04-2500 minDaily Paper CastOneVL: One-Step Latent Reasoning and Planning with Vision-Language Explanation
🤗 Upvotes: 67 | cs.CV, cs.CL, cs.RO
Authors:
Jinghui Lu, Jiayi Guan, Zhijian Huang, Jinlong Li, Guang Li, Lingdong Kong, Yingyan Li, Han Wang, Shaoqing Xu, Yuechen Luo, Fang Li, Chenxu Dang, Junli Wang, Tao Xu, Jing Wu, Jianhua Wu, Xiaoshuai Hao, Wen Zhang, Tianyi Jiang, Lingfeng Zhang, Lei Zhou, Yingbo Tang, Jie Wang, Yinfeng Gao, Xizhou Bu, Haochen Tian, Yihang Qiu, Feiyang Jia, Lin Liu, Yigu Ge, Hanbing Li, Yuannan Shen, Jianwei Cui, Hongwei Xie, Bing Wang, Haiyang Sun, Jingwei Zhao, Jiahui Huang, Pei Liu, Zeyu Zhu, Yuncheng Jiang, Zibin Guo, Chuhong Gong, Hanchao Leng, Kun...
2026-04-2226 minDaily Paper CastLongCat-Next: Lexicalizing Modalities as Discrete Tokens
🤗 Upvotes: 118 | cs.CV, cs.CL
Authors:
Meituan LongCat Team, Bin Xiao, Chao Wang, Chengjiang Li, Chi Zhang, Chong Peng, Hang Yu, Hao Yang, Haonan Yan, Haoze Sun, Haozhe Zhao, Hong Liu, Hui Su, Jiaqi Zhang, Jiawei Wang, Jing Li, Kefeng Zhang, Manyuan Zhang, Minhao Jing, Peng Pei, Quan Chen, Taofeng Xue, Tongxin Pan, Xiaotong Li, Xiaoyang Li, Xiaoyu Zhao, Xing Hu, Xinyang Lin, Xunliang Cai, Yan Bai, Yan Feng, Yanjie Li, Yao Qiu, Yerui Sun, Yifan Lu, Ying Luo, Yipeng Mei, Yitian Chen, Yuchen Xie, Yufang Liu, Yufei Chen, Yulei Qian, Yuqi Peng, Zhihang Yu, Zhixiong Han...
2026-04-0223 minDaily Paper CastProject Imaging-X: A Survey of 1000+ Open-Access Medical Imaging Datasets for Foundation Model Development
🤗 Upvotes: 48 | cs.CV, cs.AI
Authors:
Zhongying Deng, Cheng Tang, Ziyan Huang, Jiashi Lin, Ying Chen, Junzhi Ning, Chenglong Ma, Jiyao Liu, Wei Li, Yinghao Zhu, Shujian Gao, Yanyan Huang, Sibo Ju, Yanzhou Su, Pengcheng Chen, Wenhao Tang, Tianbin Li, Haoyu Wang, Yuanfeng Ji, Hui Sun, Shaobo Min, Liang Peng, Feilong Tang, Haochen Xue, Rulin Zhou, Chaoyang Zhang, Wenjie Li, Shaohao Rui, Weijie Ma, Xingyue Zhao, Yibin Wang, Kun Yuan, Zhaohui Lu, Shujun Wang, Jinjie Wei, Lihao Liu, Dingkang Yang, Lin Wang, Yulong Li, Haolin Yang, Yiqing Shen, Lequan Yu, Xiaowei Hu, Yun Gu, Yicheng Wu, Ben...
2026-04-0223 minDaily Paper CastUnify-Agent: A Unified Multimodal Agent for World-Grounded Image Synthesis
🤗 Upvotes: 33 | cs.CV, cs.MM
Authors:
Shuang Chen, Quanxin Shou, Hangting Chen, Yucheng Zhou, Kaituo Feng, Wenbo Hu, Yi-Fan Zhang, Yunlong Lin, Wenxuan Huang, Mingyang Song, Dasen Dai, Bolin Jiang, Manyuan Zhang, Shi-Xue Zhang, Zhengkai Jiang, Lucas Wang, Zhao Zhong, Yu Cheng, Nanyun Peng
Title:
Unify-Agent: A Unified Multimodal Agent for World-Grounded Image Synthesis
Arxiv:
http://arxiv.org/abs/2603.29620v2
Abstract:
Unified multimodal models provide a natural and promising architecture for understanding diverse and complex real-world knowledge while generating high-quality images. However, they still rely primarily on fro...
2026-04-0222 min
AI Post TransformersEmergent Social Risks in Multi-Agent SystemsThis episode explores a paper on how generative multi-agent systems can develop failure modes that do not appear when models are evaluated one at a time. It explains how planner-worker-reviewer loops, negotiation setups, handoff chains, and committee-style aggregation can produce system-level problems such as strategic manipulation, collusion-like behavior, misreporting, conformity, and biased group decisions. The discussion focuses on the paper’s three main risk families: incentive exploitation, collective-cognition failures, and governance breakdowns, while also unpacking the benchmark scenarios used to test those dynamics. Listeners would find it interesting because it connects current real-world agent orchestration patterns to concrete safety and re...
2026-04-0200 minDaily Paper CastIntern-S1-Pro: Scientific Multimodal Foundation Model at Trillion Scale
🤗 Upvotes: 90 | cs.LG, cs.CL, cs.CV
Authors:
Yicheng Zou, Dongsheng Zhu, Lin Zhu, Tong Zhu, Yunhua Zhou, Peiheng Zhou, Xinyu Zhou, Dongzhan Zhou, Zhiwang Zhou, Yuhao Zhou, Bowen Zhou, Zhanping Zhong, Zhijie Zhong, Haiteng Zhao, Penghao Zhao, Xiaomeng Zhao, Zhiyuan Zhao, Yechen Zhang, Jin Zhang, Wenwei Zhang, Hongjie Zhang, Zhuo Zhang, Wenlong Zhang, Bo Zhang, Chao Zhang, Chen Zhang, Yuhang Zang, Fei Yuan, Jiakang Yuan, Jiashuo Yu, Jinhui Yin, Haochen Ye, Qian Yao, Bowen Yang, Danni Yang, Kaichen Yang, Ziang Yan, Jun Xu, Yicheng Xu, Wanghan Xu, Xuenan Xu, Chao Xu, Ruiliang Xu, Shuhao Xing, Lon...
2026-03-2825 min
AI Post TransformersFrom Prefix Cache to Fusion RAG Cache: Accelerating LLM Inference in Retrieval-Augmented GenerationThis episode explores a systems paper on speeding up retrieval-augmented generation by reusing transformer KV cache state more intelligently, instead of recomputing long retrieved prompts from scratch on every request. It explains why RAG often improves grounding yet suffers from high time-to-first-token, especially when multiple retrieved chunks must be prefetched and encoded together. The discussion focuses on the paper’s central argument that naive chunk-level cache reuse breaks important cross-chunk interactions, and that the proposed FusionRAG Cache tries to preserve quality through offline chunk enrichment and selective online recomputation. A listener would find it interesting because it connects familiar RAG co...
2026-03-2700 min
AI Post TransformersQwen3Guard: Streaming Three-Way Safety Classification for LLMsThis episode explores Qwen3Guard, a safety guardrail system for large language models that introduces two key architectural innovations. The paper presents a three-way classification scheme—safe, controversial, and unsafe—allowing organizations to customize content moderation policies rather than relying on rigid binary thresholds, plus a streaming-compatible variant that evaluates safety token-by-token during generation instead of waiting for complete responses. The episode examine why separate guardrail models provide better defense-in-depth than base model alignment alone, how the controversial label externalizes policy decisions to application logic, and the technical challenges of performing real-time safety assessment without sacrificing streaming user experience or addi...
2026-03-1700 min
The David Lin ReportGlobal ‘Total War’ Imminent As U.S. Readies Iran Strike | Xueqin Jiang🔒 Get 20% off DeleteMe by going to https://joindeleteme.com/DAVIDLIN and use code DAVIDLIN to protect your privacy!And 🔈 Listen to What the Hack?, an award-winning, true cybercrime podcast: https://pod.link/1571482669Xueqin Jiang, Host of Predictive History on YouTube, discusses an imminent U.S. strike on Iran and the global fallout that would ensue.*This video was recorded on January 23, 2026To get 5% off of your CoolWallet purchase, use my link: https://www.coolwallet.io/discount/davidcwSubscribe to my free newsletter: https://davidlinreport.substack.com/Listen on Spotify: https://open.spotify.com/show/510WZMFaqeh90Xk4jcE34sListen on App...
2026-01-2544 minDaily Paper CastProbing Scientific General Intelligence of LLMs with Scientist-Aligned Workflows
🤗 Upvotes: 78 | cs.AI, cs.CL, cs.LG
Authors:
Wanghan Xu, Yuhao Zhou, Yifan Zhou, Qinglong Cao, Shuo Li, Jia Bu, Bo Liu, Yixin Chen, Xuming He, Xiangyu Zhao, Xiang Zhuang, Fengxiang Wang, Zhiwang Zhou, Qiantai Feng, Wenxuan Huang, Jiaqi Wei, Hao Wu, Yuejin Yang, Guangshuai Wang, Sheng Xu, Ziyan Huang, Xinyao Liu, Jiyao Liu, Cheng Tang, Wei Li, Ying Chen, Junzhi Ning, Pengfei Jiang, Chenglong Ma, Ye Du, Changkai Ji, Huihui Xu, Ming Hu, Jiangbin Zheng, Xin Chen, Yucheng Wu, Feifei Jiang, Xi Chen, Xiangru Tang, Yuchen Fu, Yingzhou Lu, Yuanyuan Zhang, Lihao Sun, Chengbo Li, Jin...
2025-12-2324 minDaily Paper CastSeedance 1.5 pro: A Native Audio-Visual Joint Generation Foundation Model
🤗 Upvotes: 30 | cs.CV
Authors:
Heyi Chen, Siyan Chen, Xin Chen, Yanfei Chen, Ying Chen, Zhuo Chen, Feng Cheng, Tianheng Cheng, Xinqi Cheng, Xuyan Chi, Jian Cong, Jing Cui, Qinpeng Cui, Qide Dong, Junliang Fan, Jing Fang, Zetao Fang, Chengjian Feng, Han Feng, Mingyuan Gao, Yu Gao, Dong Guo, Qiushan Guo, Boyang Hao, Qingkai Hao, Bibo He, Qian He, Tuyen Hoang, Ruoqing Hu, Xi Hu, Weilin Huang, Zhaoyang Huang, Zhongyi Huang, Donglei Ji, Siqi Jiang, Wei Jiang, Yunpu Jiang, Zhuo Jiang, Ashley Kim, Jianan Kong, Zhichao Lai, Shanshan Lao, Yichong Leng, Ai Li, Feiya Li, Gen Li, Hui...
2025-12-2022 min
ReSayA cGAS-mediated mechanism in naked mole-rats po tentiates DNA repair and delays agingThis article "A cGAS-mediated mechanism in naked mole-rats potentiates DNA repair and delays aging" is published in Science.Author: Yu ChenJournal: ScienceYear: 2025Podcast type: ShortThe authors are:Yu ChenZhixi ChenHao WangZhen CuiKai-Le LiZhiwei SongLingjiang ChenXiaoxiang SunXiaoyu XuYixue ZhangLi TanJian YuanRong TanMin-Hua LuoFang-Lin SunHaipeng LiuYing JiangZhiyong MaoAffiliations:Yu Chen, Zhixi Chen, Hao Wang, Zhen Cui, Kai-Le Li, Zhiwei Song, Lingjiang Chen, Xiaoxiang Sun, Xiaoyu Xu, Yixue Zhang...
2025-12-0604 min
听力磨耳朵张吉惟、林国瑞、林玟书、林雅南、姜奕云Erinome: Hello dear friends! Welcome to our podcast. Today we’re going to talk about something really interesting and a bit funny—“the busiest five people on the internet”. Have you heard about them, Enceladus? Enceladus: Oh, “busiest five people”? That sounds cool! Who are they? Are they famous stars or hardworking workers? Erinome: Haha, no, they’re not real people! Their names are Zhang Jiwei, Lin Guorui, Lin Minshu, Lin Yanan, Jiang Yiyun.网友 (wangyou - internet users) call them “the busiest five” because their names appear in so many different documents! Enceladus: Wait, not real people? Th...
2025-12-0505 minDaily Paper CastDeepSeek-V3.2: Pushing the Frontier of Open Large Language Models
🤗 Upvotes: 114 | cs.CL
Authors:
DeepSeek-AI, Aixin Liu, Aoxue Mei, Bangcai Lin, Bing Xue, Bingxuan Wang, Bingzheng Xu, Bochao Wu, Bowei Zhang, Chaofan Lin, Chen Dong, Chengda Lu, Chenggang Zhao, Chengqi Deng, Chenhao Xu, Chong Ruan, Damai Dai, Daya Guo, Dejian Yang, Deli Chen, Erhang Li, Fangqi Zhou, Fangyun Lin, Fucong Dai, Guangbo Hao, Guanting Chen, Guowei Li, H. Zhang, Hanwei Xu, Hao Li, Haofen Liang, Haoran Wei, Haowei Zhang, Haowen Luo, Haozhe Ji, Honghui Ding, Hongxuan Tang, Huanqi Cao, Huazuo Gao, Hui Qu, Hui Zeng, Jialiang Huang, Jiashi Li, Jiaxin Xu, Jiewen Hu, Jingchang Chen, Jingting Xia...
2025-12-0422 minDaily Paper CastStabilizing Reinforcement Learning with LLMs: Formulation and Practices
🤗 Upvotes: 56 | cs.LG, cs.AI, cs.CL
Authors:
Chujie Zheng, Kai Dang, Bowen Yu, Mingze Li, Huiqiang Jiang, Junrong Lin, Yuqiong Liu, Hao Lin, Chencan Wu, Feng Hu, An Yang, Jingren Zhou, Junyang Lin
Title:
Stabilizing Reinforcement Learning with LLMs: Formulation and Practices
Arxiv:
http://arxiv.org/abs/2512.01374v2
Abstract:
This paper proposes a novel formulation for reinforcement learning (RL) with large language models, explaining why and under what conditions the true sequence-level reward can be optimized via a surrogate token-level objective in policy gradient methods such as...
2025-12-0319 minDaily Paper CastVirtual Width Networks
🤗 Upvotes: 23 | cs.LG, cs.AI
Authors:
Seed, Baisheng Li, Banggu Wu, Bole Ma, Bowen Xiao, Chaoyi Zhang, Cheng Li, Chengyi Wang, Chenyin Xu, Chi Zhang, Chong Hu, Daoguang Zan, Defa Zhu, Dongyu Xu, Du Li, Faming Wu, Fan Xia, Ge Zhang, Guang Shi, Haobin Chen, Hongyu Zhu, Hongzhi Huang, Huan Zhou, Huanzhang Dou, Jianhui Duan, Jianqiao Lu, Jianyu Jiang, Jiayi Xu, Jiecao Chen, Jin Chen, Jin Ma, Jing Su, Jingji Chen, Jun Wang, Jun Yuan, Juncai Liu, Jundong Zhou, Kai Hua, Kai Shen, Kai Xiang, Kaiyuan Chen, Kang Liu, Ke Shen, Liang Xiang, Lin Yan, Lishu Luo...
2025-11-1822 minThe David Lin Report'Controlled Implosion Of The Economy' And End Of Democracy Explained | Xueqin JiangCheck out Odoo today - https://www.odoo.com/r/zIoPXueqin Jiang, Host of Predictive History on YouTube, explains the slow transition from democracy to an oligopoly right now, why Donald Trump may try to run for a third term, and the "controlled implosion" that our economy faces. *This video was recorded on October 31, 2025Subscribe to my free newsletter: https://davidlinreport.substack.com/Listen on Spotify: https://open.spotify.com/show/510WZMFaqeh90Xk4jcE34sListen on Apple Podcasts: https://podcasters.spotify.com/pod/show/the-david-lin-reportFOLLOW XUEQIN JIANG:X (@xueqinjiang): https://x.com/xueqinjiangYouTube: https://www.youtube.com/@PredictiveHistoryFOLLOW DAVID...
2025-11-0434 min
脑科学连线 BrainCastEP11. 崔东红：冥想对精神疾病的调控公众号图文：https://mp.weixin.qq.com/s/foJNPGB9-TPdmKFwy6__7A嘉宾名片个人简介崔东红，上海交通大学医学院附属精神卫生中心研究员，博士生导师，上海市重性精神疾病重点实验室执行主任，精神疾病样本库主任。担任中国神经科学学会精神病学基础与临床分会（CSNP）常委兼秘书长，中国CSNP神经调控联盟主席等学术职务。多年来主要从事精神疾病分子机制、生物标记物及药物代谢副作用及机理研究，近年来还开展了冥想的神经调控方面研究，与此同时她本人也是冥想实修者。联系方式邮箱：manyucc@126.com电话：18017311051代表论文1. Jiang H, He B, Guo X, Wang X, Guo M, Wang Z, Xue T, Li H, Xu T, Ye S, Suma D, Tong S*, Cui D*.Brain-Heart Interactions Underlying Traditional Tibetan Buddhist Meditation. Cereb Cortex. 2020 Mar 21;30(2):439-450.2. Lin GN#*；Guo S#；Tan X；Wang W；Qian W；Song W；Wang J；Yu S；Wang Z；Cui D*；Wang H*；PsyMuKB: An Integrative De Novo Variant Knowledge Base for Developmental Disorders, Genomics Proteomics Bioinformatics, 2019, Aug :17 (4), 453-464 .3. Fang Y, Wang W, Zhu C, Lin GN, Cheng Y, Zou J*, Cui D*. Use of tobacco in schizophrenia: A double-edged sword. Brain Behav. 2019 Nov;9(11):e01433.4. Cui D#*；Peng Y#；Zhang C#；Li Z#；Su Y；Qi Y；Xing M1, Li J；Kim GE；Su KN；Xu J；Wang M；Ding W；Piecychna M；Leng L；Hirasawa M；Jiang K；Young L；Xu Y；Qi D*；Bucala R；Macrophage migration inhibitory factor mediat...
2025-09-2954 min
Hemispherics#83: Mutismo acinético. Neurofisiopatología y neurorrehabilitaciónEn este episodio exploramos a fondo el mutismo acinético, una de las manifestaciones más desconcertantes tras un daño cerebral grave. Hablamos de su base neurofisiológica, su relación con el sistema dopaminérgico y los circuitos prefronto-subcorticales, y cómo se diferencia clínicamente de otros estados de conciencia alterada. Recorremos también las opciones terapéuticas más prometedoras, desde la estimulación multisensorial y la verticalización robótica hasta técnicas de neuromodulación como la estimulación cerebral profunda, la estimulación medular o la tDCS. Un episodio técnico, narrativo y lleno de preguntas...
2025-09-061h 33Daily Paper CastUI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning
🤗 Upvotes: 71 | cs.AI, cs.CL, cs.CV, cs.HC
Authors:
Haoming Wang, Haoyang Zou, Huatong Song, Jiazhan Feng, Junjie Fang, Junting Lu, Longxiang Liu, Qinyu Luo, Shihao Liang, Shijue Huang, Wanjun Zhong, Yining Ye, Yujia Qin, Yuwen Xiong, Yuxin Song, Zhiyong Wu, Bo Li, Chen Dun, Chong Liu, Fuxing Leng, Hanbin Wang, Hao Yu, Haobin Chen, Hongyi Guo, Jing Su, Jingjia Huang, Kai Shen, Kaiyu Shi, Lin Yan, Peiyao Zhao, Pengfei Liu, Qinghao Ye, Renjie Zheng, Wayne Xin Zhao, Wen Heng, Wenhao Huang, Wenqian Wang, Xiaobo Qin, Yi Lin, Youbin Wu, Zehui Chen, Zihao Wang, Baoquan Zho...
2025-09-0424 minDaily Paper CastIntern-S1: A Scientific Multimodal Foundation Model
🤗 Upvotes: 166 | cs.LG, cs.CL, cs.CV
Authors:
Lei Bai, Zhongrui Cai, Maosong Cao, Weihan Cao, Chiyu Chen, Haojiong Chen, Kai Chen, Pengcheng Chen, Ying Chen, Yongkang Chen, Yu Cheng, Yu Cheng, Pei Chu, Tao Chu, Erfei Cui, Ganqu Cui, Long Cui, Ziyun Cui, Nianchen Deng, Ning Ding, Nanqin Dong, Peijie Dong, Shihan Dou, Sinan Du, Haodong Duan, Caihua Fan, Ben Gao, Changjiang Gao, Jianfei Gao, Songyang Gao, Yang Gao, Zhangwei Gao, Jiaye Ge, Qiming Ge, Lixin Gu, Yuzhe Gu, Aijia Guo, Qipeng Guo, Xu Guo, Conghui He, Junjun He, Yili Hong, Siyuan Hou, Caiyu Hu, Han...
2025-08-2319 minDaily Paper CastChain-of-Agents: End-to-End Agent Foundation Models via Multi-Agent Distillation and Agentic RL
🤗 Upvotes: 68 | cs.AI, cs.CL
Authors:
Weizhen Li, Jianbo Lin, Zhuosong Jiang, Jingyi Cao, Xinpeng Liu, Jiayu Zhang, Zhenqiang Huang, Qianben Chen, Weichen Sun, Qiexiang Wang, Hongxuan Lu, Tianrui Qin, Chenghao Zhu, Yi Yao, Shuying Fan, Xiaowan Li, Tiannan Wang, Pai Liu, King Zhu, He Zhu, Dingfeng Shi, Piaohong Wang, Yeyi Guan, Xiangru Tang, Minghao Liu, Yuchen Eleanor Jiang, Jian Yang, Jiaheng Liu, Ge Zhang, Wangchunshu Zhou
Title:
Chain-of-Agents: End-to-End Agent Foundation Models via Multi-Agent Distillation and Agentic RL
Arxiv:
http://arxiv.org/abs/2508.13167v1
Abstract:
Recent adv...
2025-08-2122 minDaily Paper CastNextStep-1: Toward Autoregressive Image Generation with Continuous Tokens at Scale
🤗 Upvotes: 101 | cs.CV
Authors:
NextStep Team, Chunrui Han, Guopeng Li, Jingwei Wu, Quan Sun, Yan Cai, Yuang Peng, Zheng Ge, Deyu Zhou, Haomiao Tang, Hongyu Zhou, Kenkun Liu, Ailin Huang, Bin Wang, Changxin Miao, Deshan Sun, En Yu, Fukun Yin, Gang Yu, Hao Nie, Haoran Lv, Hanpeng Hu, Jia Wang, Jian Zhou, Jianjian Sun, Kaijun Tan, Kang An, Kangheng Lin, Liang Zhao, Mei Chen, Peng Xing, Rui Wang, Shiyu Liu, Shutao Xia, Tianhao You, Wei Ji, Xianfang Zeng, Xin Han, Xuelin Zhang, Yana Wei, Yanming Xu, Yimin Jiang, Yingming Wang, Yu Zhou, Yucheng Han, Ziyang Meng, Bin...
2025-08-1623 minThe David Lin ReportWar-Driven Recession Or Boom Ahead? These Experts Warn What’s NextWatch the full length interviews of all the guests mentioned in this video:Xueqin Jiang (July 23, 2025): https://www.youtube.com/watch?v=hvtS-nFbL8Q Gareth Soloway (August 1, 2025): https://www.youtube.com/watch?v=iO5dGDuYocE Danielle DiMartino Booth (July 30, 2025): https://www.youtube.com/watch?v=zfwGq12zASs Joanne Hsu (July 28, 2025): https://www.youtube.com/watch?v=WwqrVS8v-jw Chris Vermeulen (August 8, 2025): https://www.youtube.com/watch?v=BSvOxC8Dxog Sam Burns (August 7, 2025): https://www.youtube.com/watch?v=qxNO1-_3f5E Thomas Hayes (August 6, 2025): https://www.youtube.com/watch?v=Q6aWxDHx_8U Lyn Alden (August 2, 2025): https://www...
2025-08-1411 minDaily Paper CastHunyuanWorld 1.0: Generating Immersive, Explorable, and Interactive 3D Worlds from Words or Pixels
🤗 Upvotes: 67 | cs.CV
Authors:
HunyuanWorld Team, Zhenwei Wang, Yuhao Liu, Junta Wu, Zixiao Gu, Haoyuan Wang, Xuhui Zuo, Tianyu Huang, Wenhuan Li, Sheng Zhang, Yihang Lian, Yulin Tsai, Lifu Wang, Sicong Liu, Puhua Jiang, Xianghui Yang, Dongyuan Guo, Yixuan Tang, Xinyue Mao, Jiaao Yu, Junlin Yu, Jihong Zhang, Meng Chen, Liang Dong, Yiwen Jia, Chao Zhang, Yonghao Tan, Hao Zhang, Zheng Ye, Peng He, Runzhou Wu, Minghui Chen, Zhan Li, Wangchen Qin, Lei Wang, Yifu Sun, Lin Niu, Xiang Yuan, Xiaofeng Yang, Yingping He, Jie Xiao, Yangyu Tao, Jianchen Zhu, Jinbao Xue, Kai Liu, Chongqing Zhao, Xin...
2025-07-3124 minThe David Lin ReportNew ‘Nostradamus’ Predicts World War 3 Is Closer Than You Think | Xueqin JiangRemove your personal information from the web at https://joindeleteme.com/DAVIDLIN, use code DAVIDLIN for 20% offXueqin Jiang, Host of Predictive History on YouTube, explains his methodology using historical analogies and game theory to forecast Trump's election win, inevitable US ground involvement in an escalating Iran conflict that could trigger a global war drawing in East Asia, Russia, and NATO via Ukraine, and an expected rapprochement in US-China relations.*This video was recorded on July 22, 2025.Subscribe to my free newsletter: https://davidlinreport.substack.com/Listen on Spotify: https://open.spotify.com/show/510WZMFaqeh90Xk4jcE34sListen on Apple Podcasts...
2025-07-2325 min
多明我的家-天主教靈修園地EP328多明我的家—教宗良十四世的生平與第一次講道各位主愛的聽眾朋友大家好，在今天的節目中我想要為大家分享的是，教宗良十四世的生平與第一次講道。 經過審慎的考量，由於目前「直到世界的盡頭─聖施禮華與主業團的起源(第三冊)」即將完成翻譯初稿，之後將緊鑼密鼓地再作仔細校對，校對完成後立即出版；而且目前手上的翻譯工作，稿件甚多，必須專注於工作。 因此個人決定本周起暫時停止線上道理課，直到新書出版完成止，之後會再邀請大家參加上課。 每天我還是會傳送相關靈修資料，默禱材料，以及播客節目會不定期地與大家分享。 希望大家會喜歡這一集的內容，感謝大家聆聽，我們下次再會。 開場與結束曲：天上的耶路撒冷 演唱者:大博爾青年團 文字內容: https://opusdei.org/zht/article/Jiao-Zong-Liang-Shi-Si-Shi-De-Sheng-Ping/ https://opusdei.org/zht/article/Jiao-Zong-Liang-Shi-Si-Shi-De-Di-Yi-Ci-Jiang-Dao/ 小額贊助支持本節目： https://open.firstory.me/user/ckhn4szuh5cxm0831897wn35e 留言告訴我你對這一集的想法： https://open.firstory.me/user/ckhn4szuh5cxm0831897wn35e/comments Powered by Firstory Hosting
2025-06-0319 min
打臉藍白第一品牌EP12.藍白本週五要闖關三大爭議法案，再不站出來就來不及了｜打臉藍白第一品牌📣訂閱Youtube頻道會員 https://www.youtube.com/channel/UC9yQlvNA_YktNCpQwCzcBAQ/join 📣訂閱Podcast頻道會員 https://open.firstory.me/join/taiwandreamer 本集章節 02:07 本集概要 03:55 我也被祖了 06:24 本週鏡檢最新進度 12:13 民眾黨網紅帶貨折扣碼 16:41 網紅民粹政治狂粉的養成 25:56 民進黨一黨獨大？ 30:16 國民黨一分鐘通過選罷法修正 36:32 這就是你們要的制衡？ 42:20 藍白削弱公民動員能量 45:17 考委終於過了，之前在擋爽的？ 47:53 公民不站出來是無法擋下藍白的 冬季青鳥在台北活動資訊 ➤ 12/18（三）晚上 18:30 地點：中國國民黨中央黨部外 「冬季青鳥在台北，濫權立委究責會」向中國國民黨抗議行動，增加訴求「聲討傅崐萁」。 ➤ 12/19（四）晚上 18:30 集合、19:00 開始 地點：立法院濟南路 「討伐傅崐萁大遊行」，繞行立法院周圍。 ➤ 12/20（五）早上 09:30（視議事進行可能持續到下午） 地點：立法院濟南路 「守護憲法法庭，捍衛公民罷免權，守住民主過好年」群賢樓外守護行動，觀看院會議事直播。 民主補破網-罷免資訊整合平台 https://bly.to/VoOBQpE 📧各式聯繫請洽 taiwandreamer@outlook.com 👀追蹤我的社群 https://portaly.cc/taiwandreamer 📢各大podcast平台收聽 https://open.firstory.me/story/cm4li1yn50fee01x143ajcwyk/platforms 主持人及節目資訊： 鬼島夢想家系列創作者，政治改歌作品逾40首 法律研究者/原生柯昌黑/擅長政治及法律議題 本節目採不定期更新，打臉藍白，保證精彩！ 本節目由以下訂閱會員贊助播出： Rita chen、lan lin、Liao Ivy、蔡柏楓、林煜傑、Bruce、Amy-、Ja、ADA Lin、黃文昌、劉志倫、MingCheng Jiang、林柏翔、I Love Freedom、陳芬華、Connie、Lucky Flyer (Magical Flyer)、王霞君、秋元雄、郭明融、T7、蔡朝陽、嘻嘻、黃智妤、Yu Yu、不一、Benjamin Huang、郭祐豪、Wu Frank、HH小白、Dual horn、RAYSHEN LIN、Jun Lin、joanna**、小百合、BeefNoodle Shen、Mickey Yang、周奕廷、蔡志強、Jack Chang、周鴻志、林吟靜、Vincent Hsu、Wu Jane、LadyQ、Wayland Aheny、Chia-Chi Ho、o宗杰、數位司馬懿、Alys Wang、小游、林青諺、Stanley、Ady、大安區Harry、ericchou0523、bestfit #黃國昌 #柯文哲 #民眾黨 #青鳥 #國民黨 #罷免 #立法院 #徐巧芯 #民主補破網 Powered by Firstory Hosting
2024-12-1851 min
People's History of Ideas PodcastMao gets Kicked from Party Leadership, and Organizes a Land Reform in Western FujianThe line struggle continues and does not go Mao’s way. Plus, comments on the historiography.Further reading:Pang Xianzhi and Jin Chongji, Mao Zedong: A Biography, vol. 1: 1893-1949Stuart Schram, ed., Mao’s Road to Power, vol. 3: From the Jinggangshan to the Establishment of the Jiangxi Soviets, July 1927-December 1930Joseph Fewsmith, Forging Leninism in China: Mao and the Remaking of the Chinese Communist Party, 1927–1934Mao Zedong nianpu, 1893-1937 (毛泽东年谱)Chen Jian, Zhou Enlai: A LifeSome names from this episode:Liu Angong, special envoy sent by Party Center to the Fourth Red Ar...
2024-12-0724 min
Latest in AI researchCan AI Give Legal Counsel?In this episode, we dive into groundbreaking research on how large language models (LLMs) handle complex legal reasoning. We discuss the challenges LLMs face when distinguishing between similar legal charges and explore a new framework called MALR, which uses a multi-agent approach and non-parametric learning to enhance AI's understanding of legal concepts. Tune in to learn how this innovative approach improves AI's performance, even surpassing human capabilities in some legal reasoning tasks.
Original paper:
Yuan, W., Cao, J., Jiang, Z., Kang, Y., Lin, J., Song, K., tianqianjin lin, Yan, P., Sun, C...
2024-10-0408 min
Jack越野來閒聊2024 Spartathlon斯巴達超級馬拉松 EP182比賽日期:9/28-29
9/28上午時間7點起跑
(台灣時間中午12點)
距離246公里(雅典-斯巴達)
限時36小時
封面選手就是斯巴達賽道紀錄紀錄保持人Zisimopoulos Fotis
(19:55:09)
LIVE線上直播
https://www.youtube.com/@Spartathlongr/featured
LIVE線上追蹤
https://spartathlon.legendstracking.com/
台灣參賽選手
24 Lin Shou-Sheu
75 Tsai Wen Ya
111 Liu Chien Yu
163 Lin Ching-Hua
164 Yeh- Chang-Yuan
176 Jiang Kai Ping
203 Li Wen-Hua
231 Hsieh Yu Jen
本集就來聊一下2024 Spartathlon斯巴達超級馬拉松
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2024-09-2607 min
Listen to a Story Every DayGuiding Souls Along the Yellow SpringsGuiding Souls Along the Yellow Springs
By: Lin Jiang Gongzi
# One Sitting Read #Story #Xianxia #Reunion #DeepAffection #Drama #AncientStyle #Romance #Audiobook
2024-07-2234 min
Speak Chinese Like A Taiwanese Local#160 - 5個一定要吃的夜市小吃 5 must-eat night market snacks 😋Master buying different Taiwan street food, inquire about the spice level of the food, inform the restaurant about your allergies and much more in Chinese in JUST 1 DAY & Tool to understand Chinese Menus RIGHT AWAY
Join my Online Chinese Speaking Course !
Seamlessly immerse yourself in Taiwan's vibrant culture and strike up conversations with locals effortlessly !
Get lifetime access now at a price cheaper than your last weekend's grocery shopping!
(The course is in development, as each module is completed, the price increases. )
Don't wait! Secure your spot NOW !
大腸包小...
2024-06-2805 min
New Books in LiteratureYi-Han Lin, "Fang Si-Chi's First Love Paradise" (HarperVia, 2024)In this episode, Jenna Tang shares with us her translation of Lin Yi-Han's Fang Si-Chi's First Love Paradise: A Novel (HarperVia, 2024), one of the most iconic works of Taiwan's #MeToo movement.Thirteen-year-old Fang Si-Chi lives with her family in an upscale apartment complex in Taiwan, a tightknit community of strict yet doting parents and privileged children raised to be ambitious, dutiful, and virtuous. She and her neighbor Liu Yi-Ting bond over their love of learning and books, devouring classic works--Proust, Gabriel García Márquez, the very best Chinese writers. Yet, it is their lack of real-world educa...
2024-05-3140 min
New Books in Chinese StudiesYi-Han Lin, "Fang Si-Chi's First Love Paradise" (HarperVia, 2024)In this episode, Jenna Tang shares with us her translation of Lin Yi-Han's Fang Si-Chi's First Love Paradise: A Novel (HarperVia, 2024), one of the most iconic works of Taiwan's #MeToo movement.Thirteen-year-old Fang Si-Chi lives with her family in an upscale apartment complex in Taiwan, a tightknit community of strict yet doting parents and privileged children raised to be ambitious, dutiful, and virtuous. She and her neighbor Liu Yi-Ting bond over their love of learning and books, devouring classic works--Proust, Gabriel García Márquez, the very best Chinese writers. Yet, it is their lack of real-world educa...
2024-05-3140 min
New Books in East Asian StudiesYi-Han Lin, "Fang Si-Chi's First Love Paradise" (HarperVia, 2024)In this episode, Jenna Tang shares with us her translation of Lin Yi-Han's Fang Si-Chi's First Love Paradise: A Novel (HarperVia, 2024), one of the most iconic works of Taiwan's #MeToo movement.Thirteen-year-old Fang Si-Chi lives with her family in an upscale apartment complex in Taiwan, a tightknit community of strict yet doting parents and privileged children raised to be ambitious, dutiful, and virtuous. She and her neighbor Liu Yi-Ting bond over their love of learning and books, devouring classic works--Proust, Gabriel García Márquez, the very best Chinese writers. Yet, it is their lack of real-world educa...
2024-05-3140 min
New Books in Taiwan StudiesYi-Han Lin, "Fang Si-Chi's First Love Paradise" (HarperVia, 2024)In this episode, Jenna Tang shares with us her translation of Lin Yi-Han's Fang Si-Chi's First Love Paradise: A Novel (HarperVia, 2024), one of the most iconic works of Taiwan's #MeToo movement.Thirteen-year-old Fang Si-Chi lives with her family in an upscale apartment complex in Taiwan, a tightknit community of strict yet doting parents and privileged children raised to be ambitious, dutiful, and virtuous. She and her neighbor Liu Yi-Ting bond over their love of learning and books, devouring classic works--Proust, Gabriel García Márquez, the very best Chinese writers. Yet, it is their lack of real-world educa...
2024-05-3140 min
Fujoshi no Mundo BL#13 We Best LoveNome: We Best Love - 1ª e 2ª temporadaProdução: Result Entertainment📽️Direção: Ray Jiang 🎬Elenco principal:Sam Lin como Gao Shi-deYu Teng Yang como Zhou Shu-yi
We Best Love é uma série taiwanesa que conta a história de amor entre dois colegas de classe, Gao Shi-de e Zhou Shu-yi. A série é composta por duas temporadas, No. 1 For You e Fighting Mr. 2nd. A série foi produzida por Lin Pei Yu e dirigida por Ray Jiang. É uma adaptação do romance chinês “Yong Yuan De Di Yi Ming” de autoria de Yu Chenhuan. 😍💕
2024-01-2227 min
All Things PhotonicsMicroLEDs: A Marriage of Brightness, Efficiency, and Possibility — With Hongxing Jiang and Jingyu LinAbout 20 years ago, Hongxing Jiang and Jingyu Lin published a paper describing the microLED. Since the publishing of that seminal work, microLEDs have seen commercialization in automotive and industrial lighting applications, but for much of that time, Jiang and Lin’s envisioned application in display technology had been simmering on the backburner. Now, the technology is becoming a household name. With the holiday season approaching, consumers shopping for a new TV are noticing that the top of the line isn’t just populated with OLED models. While manufacturing challenges remain, microLEDs offer a wonderful marriage of efficiency, brightness, and sheer po...
2023-11-2844 min
The Dramasology Podcast54. The Story of Kunning Palace Ep 1-28 - Nothing beats the slightly deranged, Machiavellian Xie Wei whose only weakness is his Ning'Er. Jiang Xue Ning might be the one reborn but it's Xie Wei's world and they're all just living in itJiang Xue Ning's unrelenting desire to become empress eventually strains her bond with her childhood friend Yan Lin and leads to the arrest of the noble Official Zhang Zhe. Guilt and remorse begin to seep in when her short-lived reign as the empress comes to an end. With the help of Yan Lin as the general, rebels seize the capital and ruthlessly exterminate the entire royal family. In her last desperate act, Jiang Xue Ning pleads to exchange her life for the freedom of Zhang Zhe, a man who has always shown her kindness.As fate takes...
2023-11-2223 minThe Dramasology Podcast40. The Heart of (a) Genius - Let's pretend this drama ends on episode 8After her father is diagnosed with Alzheimer's, Lin Zhaoxi finds herself distraught at the news. The popup of a mysterious photo and mathematical formula takes Lin Zhaoxi and Ji Jiang to a parallel world. In this alternative, "Cheese World," Lin Zhaoxi and Ji Jiang work together to complete and replicate the mysterious math Olympiad competition photo results in hopes of making their way back to the real "Strawberry World." Despite not being a math genius like her father and Pei Zhi, through her experiences within the parallel universes, Lin Zhaoxi reignites her passion for math and learns to accept...
2023-08-1615 min
Electric EvolutionEpisode 49: Liz Allan, Yin Noe and Zoey Lin - China's Game-Changing Approach to EV Battery Swapping:We love hearing from you! After listening to an episode, if you’d like to share a comment or ask a question, just click here to send us your message.Episode 49: Liz Allan, Yin Noe and Zoey Lin - China's Game-Changing Approach to EV Battery SwappingLiz Allan speaks to Yin Noe and Zoey Lin from the China Automotive Alliance. Yin and Zoey discuss the exciting advancements in electric vehicle charging and swapping stations and the innovative battery-swapping technology that allows for quick and efficient battery swaps in less than a minute. They also ex...
2023-08-1433 min
The Happily Different PodcastStirring Up Change: Lin Jiang's Leap from Finance to Flavorful OatsWelcome back to another episode of The Happily Different Podcast. Today, we have the inspiring story of Lin Jiang, the founder and CEO of Yishi Foods. Lin's unique journey takes us from the world of finance and consulting to her passion for creating healthy, Asian-inspired food.
Growing up in China, Lin developed a special connection with food, particularly with a beloved black sesame cereal. However, after moving to the US and embarking on a career in finance and consulting, she noticed the lack of functional, nutritious food products. Inspired by her childhood favorite and driven by her...
2023-06-0653 min
CPG TroublemakersLin Jiang - Disrupting Brown Sugar and Maple!Chinese native Lin Jiang is the Founder and CEO of Yishi Foods, an Asian-inspired breakfast food company based in Chicago. After moving to the United States, Lin began craving the porridge her mother used to prepare for her as a child. Wanting to bring flavors to the US she grew up loving, Lin set out to create a nutritious and functional breakfast option, making the morning ritual more enjoyable. Aside from being a full-time entrepreneur, Lin is completing her MBA from the University of Chicago Booth School of Business. She is the recipient of Chicago Booth’s C2...
2023-03-1649 min
Rund um die Insel228-Vorfall - Der AusbruchVorgestern, am Dienstag den 28. Februar, wurde in Taiwan der 228-Feiertag begangen, der an die Opfer des 228-Zwischenfalls oder 228-Massakers von 1947 erinnert. Der 228-Zwischenfall war ein im Jahr 1947 ganz Taiwan erfassender Aufstand gegen die damalige Kuo-Min-Tang-Regierung, der durch Regierungstruppen gewaltsam niedergeschlagen wurde.
Aus diesem Anlass gibt es in Rund um die Insel eine dreiteilige Serie zum 228-Vorfall geben.
Im ersten Teil ging Ilon Huang auf die Vorgeschichte ein, die erklären soll, wieso die Stimmung in Taiwan so geladen war, dass ein unter normalen Umständen eher kleiner Vorfall, nämlich die Konfiszierung illegal verkaufter Zigaretten, zu e...
2023-03-0200 minLand und Leute / Taiwan228-Vorfall - Der AusbruchVorgestern, am Dienstag den 28. Februar, wurde in Taiwan der 228-Feiertag begangen, der an die Opfer des 228-Zwischenfalls oder 228-Massakers von 1947 erinnert. Der 228-Zwischenfall war ein im Jahr 1947 ganz Taiwan erfassender Aufstand gegen die damalige Kuo-Min-Tang-Regierung, der durch Regierungstruppen gewaltsam niedergeschlagen wurde.
Aus diesem Anlass gibt es in Rund um die Insel eine dreiteilige Serie zum 228-Vorfall geben.
Im ersten Teil ging Ilon Huang auf die Vorgeschichte ein, die erklären soll, wieso die Stimmung in Taiwan so geladen war, dass ein unter normalen Umständen eher kleiner Vorfall, nämlich die Konfiszierung illegal verkaufter Zigaretten, zu e...
2023-03-0200 min
Rund um die Insel228-Vorfall - Der AusbruchVorgestern, am Dienstag den 28. Februar, wurde in Taiwan der 228-Feiertag begangen, der an die Opfer des 228-Zwischenfalls oder 228-Massakers von 1947 erinnert. Der 228-Zwischenfall war ein im Jahr 1947 ganz Taiwan erfassender Aufstand gegen die damalige Kuo-Min-Tang-Regierung, der durch Regierungstruppen gewaltsam niedergeschlagen wurde.
Aus diesem Anlass gibt es in Rund um die Insel eine dreiteilige Serie zum 228-Vorfall geben.
Im ersten Teil ging Ilon Huang auf die Vorgeschichte ein, die erklären soll, wieso die Stimmung in Taiwan so geladen war, dass ein unter normalen Umständen eher kleiner Vorfall, nämlich die Konfiszierung illegal verkaufter Zigaretten, zu e...
2023-03-0200 min
Taiwan TalkTaiwan's National Palace Museum (國立故宮博物院) Celebrates China's Most Prolific WriterDr. Lin Li-Jiang is the Department-Director of painting, calligraphy, rare books, and historical documents, at Taiwan's National Palace Museum (國立故宮博物院).
ICRT's Trevor Tortomasi chats with Dr. Lin about the Palace Museum's latest exhibit on the life of Wang Shi-Zhen (王世貞), one of China's most prolific writers, historians, and critics.
Dr. Lin also talks about the museum's oldest artifacts, the evolution of Chinese literature and art, and all kinds of crazy stories from China's history.
The National Palace Museum's current exhibition will be open until December 25th, 2022, and will reopen with new artwork from December 28th through March 21s...
2022-12-1124 min
15 Minutes of Genius15 Minutes of Genius - Episode 133 with Lin Jiang of Yishi FoodsLin's story is nothing short of amazing. She came to the United States for college in 2014, graduated within 2 years, and then started Yishi Foods in Chicago in 2019.
Yishi means "ritual" in Chinese. It is a purpose-driven hot cereal brand inspired by delicious Asian flavors and "food as medicine" wisdom.
Besides being a proud full-time entrepreneur, she's also an MBA student at The University of Chicago Booth School of Business, grinding through homework on Sunday nights. Proud to be a C200 Woman in Business Award Winner from Booth.
Prior to MBA, she worked at the Bo...
2022-08-2630 min
The PathPod PodcastAround The Scope - Renal PathologyIn this series, PathPod gathers pathologists Around The Scope to discuss their work in depth.
Today, we learn about renal pathology. Our host, Dr. Sara Jiang (@Sara_Jiang) speaks with Dr. Mei Lin Bissonnette (@BCRenalPath), Director of the British Columbia Provincial Renal Pathology Laboratory, Dr. Carla Ellis (@theglasspusher), Director of Renal Pathology in the Department of Pathology at Northwestern University, Dr. Alcino Gama (@AlcinoGama), PGY2 at Northwestern Pathology, and Dr. Vighnesh Walavalkar (@vighnesh_w), Director of Histology at the University of California San Francisco.
What is new and exciting in the field of renal pathology? H...
2022-08-1943 min
Spill & Dish: A Specialty Food Association PodcastAdding Excitement to Oatmeal With Lin Jiang of Yishi FoodsConsultant Lin Jiang’s grueling work schedule left her longing for the taste and sustenance of the traditional Chinese dessert that her mother made for her at breakfast time as a young girl in China. In this episode, Julie Gallagher, SFA’s director of content, talks with Jiang about how her take on her mother’s black sesame porridge grew from a worktime snack to a convenient specialty that will soon be available in every Whole Foods Market in the nation.HRN is home to transformative exchanges about food. Our 35+ member-supported food podcasts empower eaters to cultivate a radi...
2022-07-0727 min
ContenderCast with Justin HonamanYISHI FOODS :: ASIAN INSPIRED OATMEALWhen Lin Jiang was a child in China, her mom would make black sesame cereal for her when she got home from school. The smooth, semi-sweet, toasty flavor made it one of her favorite foods. In China, black sesame cereal has been a staple food for hundreds of years because of its flavor and wellness benefits. As an adult, she began working and found herself reaching for unhealthy snacks often throughout the day. She needed something healthy and convenient that she could eat and kept coming back to the black sesame cereal that had been her favorite for so...
2021-11-2620 min
Chinese Story 林老師說故事Before the Journey to the West 西遊記取經之前的故事 18 玄奘的身世Jiang Liu was rescued and grew up to become Xuanzang. 江流獲救長成玄奘
2021-10-0618 min
Chinese Story 林老師說故事Before the Journey to the West 西遊記取經之前的故事 17 玄奘父母遇難Chen Guangrui got the first place in the highest imperial examination and was appointed as an offical Master of Jiang Zhou but he was murdered on the path he takes to his job. 陳光蕊中狀元受官職赴任遇災難
2021-09-2917 min
51% with Mable Jiang, Presented by Multicoin CapitalEP.41 [CN] - Xiahong: 一个喜欢构思新事物的投资人 / An Investor with a 0 to 1 Builder Mindset林吓洪是肯定牛资本的联合创始人。 之前我们还邀请过肯定牛资本的另一位联合创始人匹马做客伍拾壹说，所以我们在这一集中没有过多谈论肯定牛资本的投资。 我们讨论了不少关于吓洪作为一个创业者的思路如何影响他的投资主题的。 我们也就18年盛行的“胖协议”主题今天是否仍然适用交换了看法。 他回顾了他在过去一个周期中的一些学习和一些失误。 我们还谈到了疫情如何影响了我们的生活方式和心态。这是老朋友聊天的一集。 希望这次轻松的谈话能给每个人一点独特的感悟。 推特: @xhlin肯定牛资本网站: https://continue.capital/与匹马的播客（Ep. 26）: https://51-with-mable-jiang-presented-by-multicoin-capital.simplecast.com/episodes/ep26-cn-pi-ma 更多信息，请移步官网https://multicoin.capital/zh重要声明：Mable Jiang或嘉宾在播客中的观点仅代表他们的个人看法，并不代表Multicoin Capital官方的观点。此播客仅用于提供信息，不作为投资参考。Multicoin Capital有时可能会在此节目中讨论的某些代币或公司中持有头寸。 Xiahong Lin is the co-founder of Continue Capital. Previously we also invited Pima, the other co-founder of Continue Capital, to join the 51% pod, so we didn't ponder too much about Continue Capital's investment in this episode.We chatted quite extensively how Xiahong's mindset as a builder impacted his investment thesis. We also exchanged our view on the "Fat Protocol" thesis about if it still holds true today. He reviewed some of his learning and misses over the past cycle. We also touched upon how the pandemic impacted our lifestyle and mentality. This is an episode of old friends chatting. Hope it could offer everyone some unique takeaway from this easygoing conversation. Twitter: @xhlinContinue Capital's Website: https://continue.capital/Ep. 26 with Pima: https://51-with-mable-jiang-presented-by-multicoin-capital.simplecast.com/episodes/ep26-cn-pi-ma For more information about Multicoin Capital, please visit https://multi
2021-09-271h 08
Tijen the VeganEp. 9 Lin of Yishi FoodsI got to speak with the founder of Yishi Foods, Lin Jiang. Her Asian-inspired oatmeal is perfect for your morning ritual. Packed with functional foods and of course organic, gluten-free, and vegan!Lin and I go over:The inspiration behind the brand and its nameHow functional foods play a part in Asian cuisine The process of creating an organic brand and the laws that come along with it.You can check out and purchase Yishi Foods oatmeal on their website at: https://yishifoods.com/Please read my personal review on their delicious oatmeals at: https://bit.l...
2021-07-1224 min
什锦英国《重任在肩》英国全民追了10年的悬疑侦探剧有多神《重任在肩》Line of Duty 是BBC制作的警察内部反腐剧，以节奏快、剧集少、逻辑严密而著称， 被誉为英版《人民的名义》。超过1280万英国人观看了第六季大结局，关注度之高堪称为英国的《春晚》。 重任在肩也被评为英国史上最佳犯罪题材电视剧之一， 在豆瓣上评分高达9.5 。 这期我和Sophie 和Lin 一起聊了聊我们10年来追剧的体验，《重任在肩》的看点以及英剧在人物刻画和制作上的特点。
嘉宾： Sophie, Lin
主播： Linda
时间轴：
1:08 AC12 是什么部门
7:50 什么时候开始追重任在肩的
12:10. 第一季到第六季，主要人物和情节
16:41: 剧情有多紧凑， 暂停和回放了15次才看懂一集
22:22 最喜欢的角色
23:24 英国演员演技比颜值更重要
28:30 英剧塑造人物的特色：真实而不是十全十美
36:40 看大结局之前 猜测谁是最后一个H
40:08 还会有第七季吗
47:07 大家对大结局满意吗
56:51 还有什么其他英剧推荐
专有名词：
AC12：中央警区反腐调查12组
OCG: Organised crime group 有组织的犯罪集团
CHISS： Covert Human Intelligence Sources 卧底/线人
DIR: Digital Interview Recorder
ARV: Armed response vehicle
音乐：
Line of Duty Finale by Carly Paradis
推荐英剧：
All Creatures Great and Small Season 万物生灵
Unforgotten 不可遗忘
Silent Witness 无声的证言
Fleabag 伦敦生活
The Durrells 格雷尔一家
Patrick Melrose 梅尔罗斯
Bodyguard 贴身保镖
2021-06-141h 00
什锦英国《重任在肩》英国全民追了10年的悬疑侦探剧有多神《重任在肩》Line of Duty 是BBC制作的警察内部反腐剧，以节奏快、剧集少、逻辑严密而著称， 被誉为英版《人民的名义》。超过1280万英国人观看了第六季大结局，关注度之高堪称为英国的《春晚》。 重任在肩也被评为英国史上最佳犯罪题材电视剧之一， 在豆瓣上评分高达9.5 。 这期我和Sophie 和Lin 一起聊了聊我们10年来追剧的体验，《重任在肩》的看点以及英剧在人物刻画和制作上的特点。 嘉宾： Sophie, Lin 主播： Linda 时间轴：1:08 AC12 是什么部门7:50 什么时候开始追《重任在肩》的 12:10 第一季到第六季，主要人物和情节16:41 剧情有多紧凑， 暂停和回放了15次才看懂一集 22:22 最喜欢的角色 23:24 英国演员演技比颜值更重要 28:30 英剧塑造人物的特色：真实而不是十全十美36:40 看大结局之前 猜测谁是最后一个H40:08 还会有第七季吗 47:07 大家对大结局满意吗56:51 推荐的其他英剧 专有名词： AC12:中央警区反腐调查12组OCG::Organised crime group CHISS:Covert Human Intelligence Sources 卧底/线人
2021-06-141h 00
Let's Eat with Mark SamuelLet's Eat with Mark Samuel, Episode 93 with Lin Jiang from Yishi and Sid Mikhail from Luminize MarketingWe talk oatmeal, name change and what it means, balanced nutrition and amazon management.
2021-06-0918 min
China in the AmericasGuangzhou to Barbados: Growing up Chinese in the CaribbeanBarbados is 91% Black. East Asians account for just around 0.1% of the country's population. In this episode I chat with my friend Lin Jiang (Jack) about his experience growing up and living in the Caribbean. He moved to Barbados when we was 7 years old and immediately had to deal with questions of identity and issues of racism that persist until today.Subscribe to China in the Caribbean Newsletter on SubstackMessage/Follow me on Twitter: @rasheedguo (for more info on China-Caribbean topics)Email me: hello@rasheedjg.me...
2021-03-2428 min
Audiobook4BBillionaire God of War novel audiobook Chapter 5 If You’re Asking for a Favor, Ask Humbly!Billionaire God of War novel Chapter 5: https://www.bravonovel.com/billionaire-god-of-war-7358/chapter-5-57450Billionaire God of War: https://www.bravonovel.com/billionaire-god-of-war-7358Billionaire God of War novel introduction:Fifteen years ago, Jiang Ning was thrown out from one of the country’s wealthiest families, roaming the streets after his mother passed away from an illness. At his lowest point, he met a kind girl, Lin Yuzhen, who gave him a sweet. She told him that as long as he ate this sweet, his life would get sweeter an...
2021-01-2809 min
Audiobook4BBillionaire God of War novel Audiobook Chapter 3 Fire Her!Billionaire God of War - Billionaire God of War Chapter 3Billionaire God of War Synopsis:Fifteen years ago, Jiang Ning was thrown out from one of the country’s wealthiest families, roaming the streets after his mother passed away from an illness. At his lowest point, he met a kind girl, Lin Yuzhen, who gave him a sweet. She told him that as long as he ate this sweet, his life would get sweeter and sweeter. After that, Jiang Ning was taken away by a mysterious person and went through grueling training and fights! Fifteen ye...
2020-11-1610 minAudiobook4BBillionaire God of War Audiobook Chapter 2 Because You’re My WifeBillionaire God of War Chapter 2: https://www.bravonovel.com/billionaire-god-of-war-7358/chapter-2-because-you%E2%80%99re-my-wife-57447Billionaire God of WarFifteen years ago, Jiang Ning was thrown out from one of the country’s wealthiest families, roaming the streets after his mother passed away from an illness. At his lowest point, he met a kind girl, Lin Yuzhen, who gave him a sweet. She told him that as long as he ate this sweet, his life would get sweeter and sweeter. After that, Jiang Ning was taken away by a mysterious person and went through grueling training an...
2020-11-1410 minAudiobook4BBillionaire God of War Audiobook Chapter 1 The Best CandidateBillionaire God of War Chapter 1: https://www.bravonovel.com/billionaire-god-of-war-7358/chapter-1-the-best-candidate-57446Billionaire God of WarFifteen years ago, Jiang Ning was thrown out from one of the country’s wealthiest families, roaming the streets after his mother passed away from an illness. At his lowest point, he met a kind girl, Lin Yuzhen, who gave him a sweet. She told him that as long as he ate this sweet, his life would get sweeter and sweeter. After that, Jiang Ning was taken away by a mysterious person and went through grueling training and fights! Fi...
2020-11-1311 min
Successfully FundedEpisode 182 - Crave Natural: A New Era of BreakfastOn episode 182 of Successfully Funded, I got to talk crowdfunding with Lin Jiang from the Kickstarter, Crave Natural. Crave Natural is inspired by traditional Asian recipes, they offer low-sugar, high-protein, high-fiber oats in unique flavors and purpose-driven benefits to help you achieve your wellness goals through some delicious oats. Crave Natural offers low-sugar, high-protein, high-fiber oatmeal with four distinct flavors and purpose-driven benefits - energy, glow, calm, and focus. Every Crave Natural flavor starts with a base of organic gluten-free oats, almonds, hemp seeds, and flax seeds. This base provides a complete protein profile and a hearty texture. Learn...
2020-04-3047 min
Popcorn Junkies Movie ReviewsThe Farewell (Awkwafina)The Farewell is a 2019 American comedy-drama film written and directed by Lulu Wang, based in-part on her own life experiences. The film stars Awkwafina, Tzi Ma, Diana Lin, Zhao Shuzhen, Lu Hong, and Jiang Yongbo and follows a family who, upon learning their grandmother has only a short while left to live, decide not to tell her and schedule a family gathering before she dies.The film was screened in the U.S. Dramatic Competition section at the 2019 Sundance Film Festival[4] and was theatrically released in the United States on July 12, 2019, by A24. It received acclaim from...
2019-09-2517 min
2018-05-2500 min2018-05-2500 min2018-05-2500 min2018-05-2501 min2018-05-0200 min2018-04-2601 min2018-04-2501 min2018-04-2501 min
China Path Podcast#9 - China Perspectives on Investment / Australia-China Commission - Peter Drysdale & CCIEEIn this episode we get the Chinese perspective on investment into Australia and also discuss a potential new framework for the Australia China relationship with Professor Peter Drysdale from the Australian National University’s Crawford School of Public Policy and Professors Liu Shangdong and Lin Jiang from the think tank the China Centre for International Economic Exchange.
In our discussion that was recorded in Beijing in October 2017, we get the Chinese view on the complementary nature of Chinese investment into Australia, as well as the need for clarity on investment guidelines and the context of Chinese investment within Australia. We al...
2018-02-2740 min
CRI EspañolCantando en chino: “Sirena”,美人鱼El singapurense JJ Lin es cantante pop, compositor de canciones, productor de música. En 2003 publicó su primer álbum, Yue Xing Zhe, y en 2004 ganó gran popularidad por su canción Jiang Nan.JJ nació en Singapur en una familia musical. Bajo la guía de sus padres, comenzó a aprender piano clásico a la edad de 4 años, e indescriptiblemente encontró otro idioma para comunicarse con los demás. Cuando era joven, JJ Lin tomó a su hermano como ídolo e hizo todo con el ritmo de su hermano hasta que entró en contacto con la música popular y s...
2017-12-2716 min