Contrx ./

mentally exhausted emotionally tired socially drained

there’s server racks sitting in warehouses that can’t be plugged in due to lack of power from a lot of the current buildout. asynchronous compute from different availability will be the second efficiency layer on top of base hardware spec improvements.

How do you evaluate an LLM router fairly? Most benchmarks look at prompts, but routers operate at an agentic-step level. A router that saves money but breaks the task could be worse than no router. We open-sourced TwinRouterBench to measure this honestly. 🧵

Fraction of the bill. Same results. Fully local, open source, works with any client. Just > pipx install uncommon-route github.com/CommonstackAI/…

current data center stack largely overlooks orchestration and coordination if agents are going to be powered with inference your orchestration of resources will be the bread and butter for your margin also SaaS with effective post trained agentic tools are severely overlooked

More AI chip competition is coming. China self sufficiency is at 41% with more growth expected. Compute is still a very complex resource and the leading labs are all using mix of heterogeneity FLOPs compositions for securing compute and distribution of diverse workloads.

Sign up - commonstack.ai/account/signup… Discord - discord.gg/Jy88bguu8b

5 AI models 4 different providers 1 research pipeline total cost: $0.10 - DeepSeek hunts data & patterns - Claude Sonnet digs into deeper context - GPT counters all the assumptions - Gemini sums it all up - Claude Opus drops the final conclusion Runs automatically one API key no subs at all some ppl still paying tens of dollars monthly for AI subs they barely touch there’s a smarter way just pay for what u actually use built on top of @commonstack_ai

@alanaanastasya ini ngompol, mimpi basah ya ga kaya ngompol

cowo kalo mimpi basah begini ya? (serious question)

Nvidia $NVDA is up nearly a trillion dollars in market value in the past several trading days. H200s will be sold in China, which means prices continue its vertical. Labs working on orchestration and efficiency looks better than ever as prices are likely to continue up

US construction is now spending 9% more on Data Centers ($50B) vs Office Space ($46B) Orchestration & efficiency of resource usage increases in importance, I bet agentic SaaS and platforms will be top beneficiaries Fleet optimization will be defaulted to asynchronous operations

cant argue with that, my daily life gotta be with music. BMTH always ends up on the playlist i cant skip lmao 🤘

Deepseek outgrowing Gemini, GPT, perplexity and grok in April 2026 Still behind Claude but open models winning 🐋

Pretty much half of every Hyperscalers backlog is from Anthropic or OpenAI’s spending commitments. The estimated combined ARR of both of them is nearing 100B Efficiently orchestrating volatile compute can bring on much more capacity for the rest of us. @Gradient_HQ 👀

so 83.6% of the S&P 500 is primed for on premise agentic adoption. private and orchestrated agents. never been more bullish on open labs focusing on distribution and accessibility for AI. serve it @Gradient_HQ

most profitable nonprofit for insiders. $6.6 billion/600 employees is $11m a person are the ai companies dell’s of this generation? their very “noble” mission previously has now been lost in translation. bet on labs pushing for accessibility and distribution, they will win big

prices for memory and pretty much every component for AI looks like it’s reaching singularity on the chart. distribution and accessibility will be core bottlenecks since prices aren’t likely to comedown anytime soon. makes me appreciate open source AI more everyday.

crazy theory: open intelligence that can power personal agents to make decisions and operate businesses with individuals will lift hundreds of millions of people out of extreme poverty. gemma 4 can already run on phones. ubi with ai soon?

@yuanbao20001201 快点打扫 哈哈哈

@contrx16 这么多人，偏偏拉我手上，气死

气不气人，骑车走在路上居然被鸟屎精准砸中😤算了，好在没拉我头上，不然我真要气死了😡