AMAZING: What Elon and SpaceX are doing with these rockets is absolutely unreal.
Watching something that massive launch, land, and get reused feels like science fiction.
This is what American innovation looks like when you stop thinking small and start building the impossible.
Everyone on planet Earth is talking about local AI right now
And for good reason
Governments are banning models. Hardware prices are 10xing
You NEED to be getting into local AI. The number 1 questions everyone has though is which computer to buy?
Here's your answer:
You basically have 3 options:
1. MAC STUDIO (high intelligence, lower speeds)-
Mac Studios are excellent devices for local AI. They can run MASSIVE models. I'm running GLM 5.2 right now on a single Mac Studio. The model is Opus 4.8 level
The issue is, Mac Studios are a bit slower at running intelligence (altho the M5 Ultra is promising)
Mac Studios are a good choice for you if you want frontier level intelligence, but are fine running the intelligence passively
Meaning you get top intelligence, but it runs more in the background rather than on demand
As an example, I have GLM 5.2 running security checks on my codebase every hour. It creates a report. I review this later in the day
2. POWERHOUSE NVIDIA CHIPS (RTX 5090, 6000 Pro)
Nvidia is the most valuable company in the world, and for good reason
They make the world's best GPUs.
They have decent VRAM (32gb on the 5090, 96gb on the 6000 Pro) and INSANE bandwidth. Meaning the local models run at unbelievable speeds
I'm running Qwen 3.8 locally on a 5090 and it's just as fast as cloud models
I'd go this route if you want to run an AI agent like Hermes off a local model, still get decent intelligence, but have it able to work lightning fast
3. AI WORKSTATIONS (DGX Spark type computers)
The DGX Spark is an excellent AI computer
It has high memory (128gb unified memory) and has decent speeds because of the Nvidia CUDA architecture
It is basically the sweet spot between a cutting edge Nvidia chip and a Mac Studio
You can run medium sized models, and get usable speeds out of them
You're not going to get the same performance as cloud models, but it will allow you to offload small secondary tasks to your local models for them to handle
They are also the absolute easiest to get up and running
You plug it in, then tell your agent on your main computer to go onto it and set it up. You don't even need it connected to a monitor
CONCLUSION
Here's what it comes down to: how high intelligence do you need, what speeds do you need, and how plug and play do you want?
Want the highest speeds, like you are used to with cloud compute? Build a computer around an RTX 5090
Want to run frontier level intelligence, and don't mind slower speeds, go with a Mac Studio
Either way, it's never been more important to get into local AI
2-node Apple Mac cluster using RDMA over Thunderbolt 5. Which of the two cluster configurations is recommended? Option 1: Mac M3 Ultra (96 GB unified memory) paired with an M5 Ultra (96 GB unified memory); or Option 2: Mac M3 Ultra (96 GB unified memory) paired with an M5 Max (128 GB unified memory). #MacStudio #AlCluster #LLM
#Grok vs. #Gemini
https://t.co/uDFHeZtbUE
https://t.co/EIJ7esnhKK
🕊 The missing Twin Towers returned to New York for a few minutes
A light show was held on the eve of the 25th anniversary of the September 11 attacks.
The drones first rose into the night sky in a spiral, then formed the outlines of the destroyed World Trade Center towers.
The installation used 2,977 drones — one for each person killed in the attacks.
exo featured on Apple's new M5 Ultra Mac Studio and M6 / M5 Pro Mac Mini pages.
Over the past year, we have worked closely with Apple on low-latency RDMA networking over Thunderbolt 5, enabling clusters of Macs to run massive models like Kimi K3 and GLM-5.3 at API speeds.
With RDMA, aggregate memory bandwidth across Macs scales ~linearly.
A cluster of 4 x M5 Ultra Mac Studios scale to an aggregate memory bandwidth of ~4.8TB/s. Previously, these were speeds only achievable with data center GPUs.
Our vision is a data center on every desk. Apple Silicon's superior memory unit economics, power efficiency, and out of the box experience for Local AI make that possible.
Thank you to @angeloskath, @awnihannun, @twid and countless others at Apple who tirelessly to bring this technology to the world.
We promised open weights for Qwen3.8. Now, time to meet them! 🎉
⚡ Qwen3.8-27B:
- A native multimodal dense model. With just 27B parameters, it outperforms Qwen3.7-Plus overall and shines in real-world coding & office workflows.
- 262K native context, easily extendable to 1M tokens via YaRN.
- Built for builders. Highly efficient, high-quality, and licensed under Apache 2.0.
🚀 The open weights for Qwen3.8-2.4T-A95B (Max-level) have also been released recently.
Whether you're shipping lightweight applications with Qwen3.8-27B locally or building agents with Qwen3.8-2.4T-A95B, they're yours now!
Download, deploy, and build something we haven't imagined yet. 👀👇
- Hugging Face:
https://t.co/4kaAcqYEVj
- ModelScope:
https://t.co/eRIMZCGkhC
🇺🇸💍 FIFA chief Infantino reveals the golden ring:
“For the first time, this golden ring will be awarded to every player of the winning team.”
The first-ever championship ring in World Cup history… you can tell they’re in the USA 😂
Writer: Samuel
🇦🇷🏴 This is what absolute, unfiltered passion looks like in football.
The way he’s losing his mind shows how deeply every second of football hits when you truly love the game.
Football is basically a religion in Argentina, and their obsession with the game is completely unmatched.
This is the raw, collective voice of a nation that lives and dies by the ball.
Football runs in their veins. ❤️
Source: @giraltpablo ( Instagram )/ Writer: Daniyal
How did this camera survive Starship’s 3,000°C hell?
Starship’s exhaust stretches hundreds of meters, hits temps that melt steel, and unleashes shockwaves that can destroy anything nearby.
Yet this camera kept filming the raw power up close.
The engineering trick?
Sapphire crystal windows + high-pressure nitrogen air curtain + military-grade shock protection + sacrificial mirrors behind blast shields.
Basically, SpaceX built a camera tougher than the rocket’s own fury Mind-blowing.
Writer: Val
A drone farewell was done for Cristiano Ronaldo in his hometown in Madeira after he played his last game for Portugal 🇵🇹 against Spain in the World cup …… He really put them on the map❤️
🎆 Happy 250th Birthday, America! 🇺🇸
Today, we're celebrating in style — lighting up the Brandenburg Gate in honor of 250 years of American independence.
🇭🇷 No subtitles or audio needed for this Croatian fan's reaction to the referee disallowing their late stoppage-time equalizer against Portugal 🤣
Writer: Ian
All DOGE required was contact information of the recipients to confirm that funding was not fraudulent. No validated medical funding was stopped.
Anything that appeared to be legitimate lifesaving funding continued and is now administered by the State Department.
If anyone had actually died as a result of DOGE, their names would be worldwide headline news!
On the other hand, USAID did help fund the Wuhan Virology Institute, which caused the deaths of millions, and the revolution that started the Russia-Ukraine war.