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🎂HAPPY LAY DAY🎂 本日は #LAYZHANG# の誕生日です🎊 皆さまにとってもハッピーな1年になりますように🫶 本当におめでとうございます‼💕 #张艺兴# #レイ# #레이# #LAY# #StageKingLAYDay# #HappyLAYDay#

[PHOTO] 190526 #구구단# #하나# #나영# 📸 @ JTBC <#스테이지K#> 한 주의 마무리는 #하나영# 과 함께👭 단짝들 행복한 일요일 밤 보내요💕 #gugudan# #HANA# #NAYOUNG# #StageK# #K리더스편# #BEHIND#

Proud mom, Maye Musk on her son, Elon Musk: “You know, with each stage, each project he took on, his ideas are always for the future, so people don't always understand it. When he said electric cars, and I said 'Wow, why would you want to do that?' and he said 'Climate change and we need to use batteries' and it made sense, but it still didn't make enough sense to actually build them. And he goes ahead of time. And then of course, rockets, now he launches more rockets than anyone in the world, all the countries combined.” Source: @teslaownersSV

🚨 SHOCKING: LISA SU’S $1,499 LUNCHBOX ANNIHILATES NVIDIA’S $4K AI BEAST! AMD CEO Lisa Su walked on stage, held a lunchbox sized PC in one hand, and ran a 235 billion parameter model live. No data center. No cloud. No rented GPU. The chip inside is the AMD Ryzen AI Max+ 395. It is the first x86 chip where the CPU and GPU share the same pool of memory. Up to 128GB of unified memory. That one design choice is what changes everything. An RTX 5090 gives you 32GB of video memory. A 4090 gives you 24. This box gives you more than three times either of them in a chassis you can carry in a backpack. On DeepSeek R1 inference, AMD's chip beat an Nvidia RTX 5080 by more than 3x. A desktop the size of a thick paperback outrunning a dedicated graphics card that costs over a thousand dollars on a real AI workload. Now do the math on your subscriptions. Claude Code Max is $200 a month. ChatGPT Pro is another $200. Cursor is $20. Gemini is $20. That is $5,280 leaving your account every year before you build a single thing. The 128GB version of this machine starts at around $2,399. At that run rate it pays for itself in under a year and then runs free. Install Ollama. Pull Qwen3 235B. Point Claude Code at localhost. Same interface you already use. Nothing leaves your machine. Nothing costs per request. No throttling at 3am when you finally have time to build. Lawyers stop worrying about what OpenAI does with their files. Developers stop watching the token counter. Founders stop killing prototypes because the cloud bill scared them off. Private AI just became something a normal person can own.

Stanford grads walk out as Google CEO Sundar Pichai takes the stage as commencement speaker. No mention of AI, unlike other uni speakers getting booed down this year. Story for @sfgate shortly

JALEN BRUNSON SECURES NEW YORK'S FIRST NBA CHAMPIONSHIP IN 53 YEARS! 🏆 32.6 PPG (led all players) 🏆 42.1 FG% 🏆 38.9 3P% 🏆 NBA Finals MVP The Captain delivered on the biggest stage in basketball!

Somalia-watchers speak wryly of “Villawood”: a recurring soap opera staged every election cycle by the country’s politicians. Yet the latest episode could go dangerously off-script

'In the later stages, offering reasons why someone was not hired can be problematic. Apparently this can lead to legal actions, though it does not say much about the hiring manager if they cannot offer a coherent explanation that doesn’t get them sued':

If AI large-model talent in China is looking for domestic career opportunities, WeChat is actually worth considering. Not many people know that the WeChat team also has its own large model, WeLM, which is closed-source and has already iterated to version V4. At this stage, joining established, scaled large-model teams is the more conventional choice. But there are also people who choose to join WeChat’s relatively small-scale large-model effort, which is somewhat like trying to bottom-fish in the stock market—of course, it still depends on individual judgment and ability to evaluate the situation. Revisit this post in three months.