Close, the lack of moat means the revenue will be shared amongst 20+ vendors that offer the same result +/- 5%
Peter Christie retweeted
dario begged me in dms to not do agent swarms at home but whatever, this is nemotron 120B A12B running 64 concurrents at a bit over 100 tok/sec each for an aggregate of almost 7K tok/sec on a single GB300 (Asus DGX Station)
believe it or not, the agents did NOT magically just start hacking the planet tho. weird.
Peter Christie retweeted
ANTHROPIC FACES CALL TO DELAY MASSIVE IPO OVER AI SAFETY CONCERNS
Anthropic has opened discussions with NYC Comptroller Mark Levine after he urged the company to postpone its planned IPO until it addresses AI safety and governance risks.
Levine oversees public pension funds holding more than $325 billion in assets and warned that a major AI safety incident after listing could severely damage investors.
Anthropic is reportedly targeting an IPO as early as November, following quarterly revenue of $16.8 billion.
The key takeaway: AI safety concerns are emerging as a potential obstacle to one of the largest IPOs in history.
Peter Christie retweeted
"Chinese models are only good at benchmarks."
Prime Intellect just rewrote its coding agent in Rust with GLM-5.3 doing the main work. 2 weeks. 2,000+ agents. 200B+ tokens.
And this is the model we have TODAY.
Result: the agent is ready for input about 13x faster and uses 83% less memory at startup. The code is open, go read what the model wrote.
Qwen4 is already in training. I am waiting for the next DeepSeek. I want to see what Moonshot does after Kimi K3 and what Zhipu does after GLM-5.3.
If this generation rewrites real software in 2 weeks, the next one is going to be a revolution. I hope we get the weights again. I am so ready for it.
Over two weeks, Prime Agent orchestrated a swarm of over 2,000 agents to rewrite itself in Rust.
With 10,000+ sandboxes, 200B+ GLM-5.3 tokens, and 16,000 agent-to-agent messages, this was our largest test yet of Prime Agent’s multi-agent capabilities and our infrastructure powering these agent swarms.
Prime Agent now reaches usable input ~13× faster and uses 83% less startup memory than before.
I’d be buying two @NVIDIAAI DXG Stations and allowing the open source community to access 🚀
Great to have Edison on board. Ex Megaport Brisbane native in Europe, Edison knows our market sector well.
linkedin.com/in/esmithstubbs…
Great contract >$1M (conservatively). All-up added $2.5M of new TCV in Q1. Mike Glynn's crushing it.
We’re pleased to announce that Microscan has appointed Activeport to build and launch its new Network-as-a-Service (NaaS) platform.
Read the full article: activeport.com.au/microscan-…
#NaaS #Microscan #Activeport #NetworkInfrastructure #Automation
Peter Christie retweeted
We’re pleased to announce that Microscan has appointed Activeport to build and launch its new Network-as-a-Service (NaaS) platform.
Read the full article: activeport.com.au/microscan-…
#NaaS #Microscan #Activeport #NetworkInfrastructure #Automation
Wow, 15,000 direct-to-cell sats at 326–335 km, with friction v thrust needs 3,000 replacements a year so 50 Starship launches just to maintain capacity. bandwidth for ~1 billion users is $1.1 trillion a year from global roaming mobile phone plans.
two companies are ~70% of the AI market with a combined operating loss of $16B in 2025.
Peter Christie retweeted
Guys, did you see the inference price war for open weight models in openrouter? It’s bloody war to compete on the lowest price. Reminds me of electricity.
I keep hearing inference is huge margin but then it seems it’s a war to zero at openrouter nowadays. I finally understand why openrouter charges 5.5%.
I keep hearing stories of data centers in Finland, Philippines and Southeast Asia that are just cheap, cheaper and cheapest?
I wonder how US neoclouds cope with this? I mean enterprise is a good market I’m sure.






























