My girl is back again ✨
Last time I only had a microphone and it felt a bit incomplete…
So this time I brought an even bigger one!!! 🌟
This month is packed with shoots 💦
Working hard to bring you more photos!
女兒又來了✨
之前只準備了麥克風覺得有點可惜
這次準備了更大一把的!!!🌟
這個月滿滿的拍照💦
努力出圖給大家呢!
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pour ceux qui ne réalisent pas le séisme historique que représente la fin de l’ère Jensen Huang à la tête de Nvidia, il faut regarder le chemin parcouru depuis 30 ans pour comprendre qu’on assiste au départ d’un monument absolu de l’histoire industrielle:
> il a commencé tout en bas comme plongeur et serveur de nuit dans un restaurant dennys à nettoyer des assiettes pour payer ses études d’ingénieur
>en 1993,il fonde Nvidia depuis des discussions dans ce même restaurant avec deux associés, un capital minuscule et la conviction folle que le calcul graphique va transformer l’informatique
>au culot il écrit une lettre directe à Morris chang, le fondateur légendaire de TSMC pour le convaincre de fabriquer ses premières puces alors que personne ne pariait un centime sur sa boîte
>il a frôlé la faillite totale à plusieurs reprises dans les années 90 sauvant l’entreprise à 30 jours de la cessation de paiement grâce à un pari désespéré
> en 2006,il investit des milliards dans cuda alors que wall street détestait l’´idée et massacrait le titre en bourse, ce qui lui a permis de créer l’infrastructure logicielle qui rendra l’IA moderne possible 15 ans plus tard
>il a propulsé Nvidia au sommet absolu de la finance mondiale avec une capitalisation boursière dépassant les 3000 milliards de dollars
> il a accumulé une fortune personnelle dépassant les 150milliards de dollars (tout en restant fidèle à son fameux blouson en cuir) et à une culture hardware très profonde
>il a réalisé le plus grand miracle de partage de la valeur de l’histoire de la tech car pour info plus de 75%des salariés de Nvidia sont devenus millionnaires et des milliers d’entre eux sont même multimillionnaires
>il a même permis à des cadres historiques comme de Nvidia entrés tôt de devenir carrément MILLIARDAIRES en restant simples salariés, je ne sais pas si vous vous rendez compte de la perf de fou furieux de réussira transformer des tonnes d’employés en milliardaires, c’est un un exploit qui est juste UNIQUE AU MONDE
>il a transformé une simple boîte de cartes graphiques pour jeux vidéo en pilier vital de la souveraineté technologique et militaire américaine sans laquelle vous ne pourriez utiliser quasiment aucun modèle d’ia aujourd’hui, c’est indirectement grâce à lui que certains se construisent toute une économie numérique en étant indépendants ou peuvent remplir leurs missions professionnelles en étant salariés
>il possède aujourd’hui une influence géostratégique supérieure à celle de la quasi-totalité des chefs d’état de la planète puisque le destin de l’IA mondiale passe JUSTEMENT par ses usines
>il s’asseyait il y a encore quelques semaines à la table même de donald Trump, xi Jinping et Elon Musk pour négocier l’équilibre technologique entre les grandes puissances
>il a mené une bataille acharnée pour démocratiser les open weights en refusant de voir l’intelligence artificielle verrouillée par une poignée de labos fermés comme anthropic ou OpenAI afin que chaque entreprise et chaque nation puisse entraîner sa propre intelligence sur ses puces
c’est précisément cette dernière stratégie radicale d’ouverture et de diffusion libre de la puissance de calcul qui a fini par lui coûter sa place
en armant l’écosystème open source et en permettant au reste du monde de rattraper les géants propriétaires américains, il s’est heurté de front aux intérêts sécuritaires de Washington et aux monopoles fermés qui voulaient garder le contrôle exclusif de l’IA
les amis sachez que Jensen Huang tombe aujourd’hui pour avoir voulu rendre la technologie accessible à tous en laissant derrière lui la preuve vivante qu’un immigré parti de 0 avec une vision à TRÈS LONG TERME de 30 ans peut construire des choses GRANDIOSES
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Dan Bilzerian, Instagram'da sergilediği lüks hayatı nasıl finanse ettiğini ve servetinin kaynağını anlattı:
🔹 "Babamın kurduğu güven fonunun değeri başlangıçta yaklaşık 100 milyon dolardı."
🔹 "Babamı hapisten çıkarmak için fonun üçte birinden vazgeçtim."
🔹 "Kalanını sattığımda değeri 1-2 milyon dolara kadar düşmüştü."
🔹 "O dönem poker oynayarak yılda 50 milyon dolar kazandığım oluyordu."
🔹 "Herkes babamın parasını harcayan zengin bir çocuk olduğumu düşünüyordu."
🔹 "Bu algıyı hiç düzeltmedim çünkü milyarderlerin katıldığı özel poker masalarına girmemi sağlıyordu."
🔹 "2011'de 20 milyon dolarlık bir malikaneyi paylaşıyordum, aylık kira payım sadece 1.500 dolardı."
🔹 "Evi pahalı eşyalarla doldurmuş, lüks arabalar almıştım."
🔹 "Dışarıdan yüz milyonlarca dolarım varmış gibi görünüyordu ama bankada belki 3 milyon dolarım vardı."
🔹 "Bir oyuncunun kazancının %25'ine ortaktım ve bir gecede 42 milyon dolar kazandı."
🔹 "Sabah uyandığımda 10,5 milyon dolar kazandığımı söyleyen bir mesaj gördüm."
🔹 "Bir milyarderi kendi evinde poker oynayarak 42 milyon dolar yendim."
🔹 "Sonrasında Ignite'ın yönetim kurulu beni CEO'luk görevinden aldı ve 750 milyon dolarlık satış anlaşması gerçekleşmedi."
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我一直觉得市场里最容易的事情,是看到一个赚钱地址后点下跟单;而真正困难的,是当行情开始反复、逻辑发生变化时,自己还能不能活下来。
最近链上不少巨鲸开始减仓,有人选择落袋为安,有人降低杠杆,也有人继续死扛原来的方向。
对普通交易者来说,重点不只是巨鲸买了什么,也是他们为什么在这个时间点调整仓位,以及背后的市场环境到底发生了什么变化。
聪明钱也不是永远正确,一个地址过去的胜率再高,如果仓位过重、回撤失控,或者原有策略不再适合当前行情,跟得越快,可能反而亏得越快。真正值得研究的,是它的入场逻辑、持仓周期、风险控制,以及行情改变后的应对方式。
这期CoinW聪明钱直播,我会和大家聊聊:
从巨鲸减仓看市场发生了什么?
跟单时应该观察哪些数据?
怎样筛选真正值得长期追踪的聪明钱?
面对回撤和行情切换,普通交易者如何提高生存率?
跟单容易,熬过一轮行情难。会抓机会很重要,但能控制风险、留在市场里,才有资格等到下一次机会。
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✨🛍️ สินค้าพิเศษจาก
@Lilium725 มาแล้ว!
พบกับสินค้า Yuri Majyo ที่เตรียมมาให้แฟน ๆ ได้จับจองกันที่ AniEx 2026 💕
ใครเป็นแฟน Arknights ห้ามพลาดเซ็ตนี้เลย! 👀✨
ชอบชิ้นไหนเตรียมเล็งกันไว้ แล้วมาเจอกันได้ที่บูธ Guest 05!
📍 Guest 05
🎫 ซื้อบัตรเข้างานและบัตรกิจกรรมได้ที่นี่:
______________________________________________
✨🛍️ Special merchandise from Yuri Majyo is here!
Check out the Yuri Majyo merchandise available for fans at AniEx 2026 💕
If you’re an Arknights fan, you won’t want to miss this set! 👀✨
Pick your favorites and find them at Guest Booth 05!
📍 Guest 05
🎫 Get your admission and activity tickets here:
•••••••••••••••••••••••••••••••••••••
AniEx 2026
📆 Date : Sunday, 11th October 2026
⏰ Time : 11 AM - 7 PM
📍 Location : Krungthep Aphiwat Central Terminal (Bang Sue Grand Station)
🚇 MRT Blue Line, Bang Sue Station
🚅 SRT Red Line, Krung Thep Aphiwat Station
See you soon!
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Befor yesterday morning, agents from U.S. Immigration and Customs Enforcement detained a Chinese citizen outside Los Angeles International Airport. As they took her away, she asked a bystander to call 911. He did not. He started shouting, “Why are you taking her? ICE!” and got louder.
The Department of Homeland Security then issued a statement on the arrest of Jing Zhao, an illegal immigrant from China. On October 3, ICE arrested her. Zhao was first allowed into the United States in September 2017 on a temporary admission. She broke U.S. law, failed to leave when required, and has remained here illegally. A pending application does not give her legal status.
Last night, a friend of Zhao’s contacted Zheng Cunzhu and asked him to help. A word on who he is. He introduces himself as holding an LLM and a J.D. In fact, he stayed in the United States through asylum. He has failed the California bar more than once, still calls himself a lawyer, and has been warned twice in writing by the government. Together with Chen Chuangchuang, he opened a law office. On Telegram he recruits Chinese migrants who entered the United States illegally and files asylum for them, especially people nothing happened to in China, who only started performing anti-CCP outrage after they arrived. He calls it fear of persecution that has not happened yet.
Zheng says he reached Zhao by phone, got the details, immediately drafted a habeas petition, sent it to a lawyer for review, and uploaded it to federal court. He then posted that she had been legally waiting on an immigration decision. She had been an F-1 student, earned two master’s degrees in the United States, held a work permit, and worked with minors who have language disorders. She did not follow the news. She had planned a weekend trip and did not expect plainclothes ICE to arrest her at the airport. Her father is over 80 and disabled, and the government had assigned her to care for him.
On Zheng’s own account, she came to study. He does not say why she switched to asylum, or how China persecuted her. Her father is also here, supported by the government. Nothing is said about what he contributed. She claims persecution, takes a government wage to care for her father, and then left him, with dementia, to go on a trip.
Zheng kindly offered to seek bail through the nonprofit Voice of Immigration, and worried about who would look after the father now that she had been arrested. Who was looking after him when she left for the airport? The trip ended in detention.
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Introducing omni-macos: a semantic Finder for Apple Silicon. It was first released months ago, but now getting really good and becoming my daily productivity.
Over the last few months I've kept improving fully local, on-device semantic search for my everyday agentic use. The goal: a local multimodal search engine that's easy for both humans and agents, fast, and handles CRUD in real time. After years of working on embedding and reranker models, I figured this would be easy, especially with coding agents hill-climbing tps for you. Turns out making it actually good is pretty damn hard. I've also seen other projects like zvec-grep going after the same thing, but I think most of them miss some key points about local search, especially on personal devices. They optimize for efficiency and relevance, which is fair with a SaaS mindset, but not enough for an air-gapped personal device:
- Efficiency matters, but on a laptop, an indexer that hogs the machine to finish sooner is worse than one that takes a bit longer and you never notice.
- Personal files are massively duplicated: v1, v2, v-final, v-final-final, plus backups, often with only tiny diffs between them. So using the file as the indexing unit is inefficient.
- Some files get edited all the time, but only a small part changes each time. Reindexing the whole file is, again, a waste.
- CRUD needs to be handled properly at the folder level.
- You only have one GPU interface and it's non-preemptive. Embedding needs it, vector search needs it, OCR needs it. You can't lower the priority of work that's already queued, so priority can only be set at admission.
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背後から●われ赤ちゃん孕まされちゃうsrちゃん ※音声あり🐻💿🔊
Wow. There was an actual red carpet waiting for Xi JinPing today at Joint Base Andrews.
We use the term “red carpet treatment” to explain the opulence of an event, but I didn’t think there would be a LITERAL red carpet. But there was.
A red carpet for a communist dictator who is giving satellite imagery to Iran to target and kill American service members fighting in the war with Iran.
A red carpet for the man who murdered 1.2 million Americans with a bioweapon and helped the Democrats steal the election from President Trump in 2020, by President Trump’s own admission.
4 years of Joe Biden thanks to China. 25 million criminal illegal aliens and fentanyl flowing into our country, killing Americans, all thanks to CHINA!
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