注册并分享邀请链接,可获得视频播放与邀请奖励。

AdiiX 的个人资料封面
AdiiX 的头像

AdiiX (@adiix_official)

@adiix_official
22 | vibe coding | ai & onchain research
138 正在关注    23.7K 粉丝
Jensen Huang and the entire Nvidia engineering team after realizing an AMD lunchbox just killed their $4,000 DGX Spark live on stage
AMD CEO Lisa Su just killed Nvidia’s $4,000 AI box with a $1,499 lunchbox. She walked on stage, held it in one hand, and ran a 235 billion parameter model live. No data center. No cloud. No rented GPU. The chip inside is something nobody saw coming. AMD’s Ryzen AI Max+ 395 is the first x86 silicon where CPU and GPU share the same 128GB of memory. That single trick lets a desktop run models that used to need a server rack. Out of those 128GB, Linux hands the GPU 110GB to play with. For context, an RTX 5090 gives you 32GB. A 4090 gives you 24. This box gives you more than three times either of them, in a chassis the size of a thick paperback. The benchmark that broke the room: this chip beat an Nvidia RTX 5080 by more than 3x on DeepSeek R1 inference. A $1,499 lunchbox outrunning a $1,000 discrete graphics card on a real AI workload. Nvidia spent a decade convincing the world you needed their hardware for serious AI. AMD just put that on a desk for half the price. Here is what nobody is telling you. A heavy AI user right now pays $200 for Claude Code Max, $200 for ChatGPT Pro, $20 for Cursor, $20 for Gemini. That is $5,280 a year leaving your account. The box pays itself off in 9 months and then runs free for the rest of its life. Install Ollama. Pull Qwen3 235B. Point Claude Code at localhost. Same interface you already use, except now nothing leaves your machine, nothing costs per request, and no company throttles your usage at 3am when you finally have time to build. This is the moment every AI subscription becomes optional. Lawyers stop fearing OpenAI leaks. Developers stop watching the token meter. Founders stop renting H100s for prototypes that never ship because the bill scared them. The first thousand people to figure this out will own the next two years of private AI consulting. Save this, and read the full breakdown article below you are watching the next shift hit before everyone else does.
显示更多
0
16
129
8
转发到社区
AMD CEO Lisa Su just killed Nvidia’s $4,000 AI box with a $1,499 lunchbox. She walked on stage, held it in one hand, and ran a 235 billion parameter model live. No data center. No cloud. No rented GPU. The chip inside is something nobody saw coming. AMD’s Ryzen AI Max+ 395 is the first x86 silicon where CPU and GPU share the same 128GB of memory. That single trick lets a desktop run models that used to need a server rack. Out of those 128GB, Linux hands the GPU 110GB to play with. For context, an RTX 5090 gives you 32GB. A 4090 gives you 24. This box gives you more than three times either of them, in a chassis the size of a thick paperback. The benchmark that broke the room: this chip beat an Nvidia RTX 5080 by more than 3x on DeepSeek R1 inference. A $1,499 lunchbox outrunning a $1,000 discrete graphics card on a real AI workload. Nvidia spent a decade convincing the world you needed their hardware for serious AI. AMD just put that on a desk for half the price. Here is what nobody is telling you. A heavy AI user right now pays $200 for Claude Code Max, $200 for ChatGPT Pro, $20 for Cursor, $20 for Gemini. That is $5,280 a year leaving your account. The box pays itself off in 9 months and then runs free for the rest of its life. Install Ollama. Pull Qwen3 235B. Point Claude Code at localhost. Same interface you already use, except now nothing leaves your machine, nothing costs per request, and no company throttles your usage at 3am when you finally have time to build. This is the moment every AI subscription becomes optional. Lawyers stop fearing OpenAI leaks. Developers stop watching the token meter. Founders stop renting H100s for prototypes that never ship because the bill scared them. The first thousand people to figure this out will own the next two years of private AI consulting. Save this, and read the full breakdown article below you are watching the next shift hit before everyone else does.
显示更多
0
508
9.3K
1.2K
转发到社区
SpaceX just became the first private company in history you can trade like a stock and most traders haven’t noticed yet. Markets XYZ listed SPCX as a live Up/Down contract at $197.58. The market currently sits 29.1% UP vs 70.9% DOWN. The interesting part isn’t SpaceX. It’s that pre-IPO companies are finally accessible to anyone with $20. Market : For 20 years, the only people who could touch SpaceX were accredited investors with access to private secondaries. That moat just collapsed. Stripe, OpenAI, Anthropic, Databricks every locked-up unicorn becomes a directional position the moment this format scales.
显示更多
SpaceX is pushing banks for one of the lowest IPO fee rates ever. The company is negotiating to pay less than 0.75% on its planned $75B IPO, though banks could still collect roughly $500M in fees. Goldman and Morgan Stanley are reportedly set to take the largest share of the fee pool, with 21 other brokers involved. That is far below the typical IPO underwriting fee range of 4%-7%, and even low versus other mega-IPOs: GM 2010: $15.8B raise, 0.75% fee Facebook 2012: $16B raise, 1.1% Alibaba 2014: $25B raise, 1.2% Uber 2019: $8B raise, 1.3% Visa 2008: $17.9B raise, 2.8%
显示更多
THIS GUY RUNS 6 CLAUDE + CODEX TERMINALS AND MAKES $20K/MONTH LIVESTREAMING He burns through 3x Claude Max + Codex, runs 6-7 terminals simultaneously, and turns $200/month in tokens into a $20K business all in front of a live audience. But $2,400 a year on tokens and half of it is probably just burning for nothing. Save this and read the article below so you don’t make the same mistakes.
显示更多