JSEF v1.10.0 is out 🎉 A model-agnostic LLM eval toolchain + 20+ new hard vulnerability samples. ✅ Swap any OpenAI/Anthropic-compatible model (GLM-5.3, Mythos, GPT…) ✅ One-click cross-model leaderboard (Recall/Precision/F1/accuracy) ✅ DeepSwe-style trials stability (Pass@1, N-run) ✅ Multi-state gate, JWT 4-step chain, async taint chain Star → #LLMSecurity# #AppSec# #WebSecurity# #JavaSecurity# #VulnerabilityDetection# #AISecurity#

🧵 New repo: Awesome Egocentric Dataset — a curated list of first-person vision datasets, refreshed beyond the classic Ego4D-era list. ✅ Recent 2023–2026 releases (Ego-Exo4D, EgoSchema, AEA, EgoExoLearn, EgoLife…) ✅ Dead/broken links removed, migrated ones fixed ✅ A section on egocentric-driven VLA papers (training source + data-processing), with first-principles + fishbone analysis 🚀 Open-source, contributions welcome. 🔗 #EgocentricVision# #FirstPersonVision# #VLA# #ComputerVision# #Datasets#

灵巧手的数据格式： task_info/task_327.json： { "episode_id": 649078, "task_id": 327, "task_name": "Picking items in Supermarket", "init_scene_text": "The robot is in front of the fruit shelf...", "lable_info": { "action_config": [ {"start_frame": 0, "end_frame": 435, "action_text": "Pick up onion from the shelf.", "skill": "Pick"}, {"start_frame": 435, "end_frame": 619, "action_text": "Place onion into the plastic bag.", "skill": "Place"} ] } } 亮点：指令不是整段一个，而是按帧区间切片 + 原子技能(skill)标签分层标注。 这比我们 language_instruction.json 只标一个 segment 更细——它把"拿起→放下"拆成两个子动作各配指令。 这正是高质量示教数据的做法。

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Tomorrow is the FIFA World Cup Final! ⚽ Spain 🇪🇸 vs. Argentina 🇦🇷 G Bro and Argentine President @JMilei wish both teams the very best and hope they deliver an unforgettable match. May the better team win! 🏆 ¡Mañana es la gran final de la Copa Mundial de la FIFA! ⚽ España 🇪🇸 vs. Argentina 🇦🇷 G Bro y el presidente de Argentina, @JMilei, les desean a ambas selecciones el mayor de los éxitos y esperan que brinden un partido inolvidable. ¡Que gane el mejor! 🏆 明天就是世界杯决赛 西班牙🇪🇸vs阿根廷🇦🇷 G哥与阿根廷总统@JMilei 祝两支队伍踢出最好的水平

Hey @Lyft, I’ve set location access for all apps on my iPhone to “While Using the App.” However, even when I’m not using the Lyft app, I still receive push notifications based on where I am. Can you explain why this is happening? Is Lyft collecting my location when the app isn’t in use? If so, what data is being used, and how does that align with my location permission settings?