Routing DSL is now live. Routing DSL lets you build inference graphs to achieve Fable 5–level intelligence at a fraction of the cost. • Route by difficulty • Route by task • Fan out to multiple models (combine gpt, opus and gemini etc) • Add fallbacks and judges • Optimize for cost, latency, or quality YAML CEL. Docs → docs.orcarouter.ai/routing/r… UI → routing -> strategy -> DSL

Transforms documents into structured knowledge graphs and timelines. github.com/yifanfeng97/Hyper…

@konnex_world gets this. They’re creating tools for creators, communities, and connectors to actually capture the value they create. Early social graphs were just databases. The next ones are economies.

If you would please consult the graphs:

No, fathers do not do their fair share, they only do *slightly* more paid work. The graphs are overlapped, women still do roughly as much paid work but still do twice the amount of chores and childcare. Your pro-male propaganda is utter garbage. Learn to read graphs.

This is what happens when people can’t read graphs.

Meanwhile Nazi-Junkie dog breaks out graphs like they’re election results. 😂😂😂

😂 the meme graphs this dude is using are full of shit You're treating arrest data as a perfect reflection of reality. Heavy policing in low-income, minority neighborhoods naturally drives up arrest numbers there not cuz of race "environment " which white folk made

With a perfectionist teacher sa 4th yr, gamit na gamit ko yan. Dapat perfect ang graphs ng sinusoidal formulas ko. Hahaha.

"zoom out the graph" "actually the graphs are all wrong anyway"

Why do these graphs always start early 1800's? Nothing to do with the end of a mini ice age? Which conveniently ties in with the start of the industrial revolution 🤔🤣🤣🤣

The next chapter for Beats on Base is taking shape. Right now, the ecosystem is already running. BUDDIES agents are live for communities. The Base App Agent is live at beats.base.eth. Beats x402 is live as payment infrastructure powering AI generation across 1,400 models. The foundation is real and it is working. But the roadmap does not stop there. Creator Studio is what comes next. It is in progress, and it is the most ambitious piece of the vision. The idea is a crypto-native generative media suite built from the ground up for this world. Not a generic video editor dressed up with a Web3 logo. Something genuinely different. Imagine a programmatic timeline where your video composition pulls live data directly from DexScreener and CoinGecko. Price charts, volume spikes, social graphs from Farcaster and X feeding straight into the render. Token mascot characters held visually consistent across multiple scenes. Camera movements, lipsync, multi-scene chaining, and AI generation all in one place. Crypto content creators, project marketing teams, and communities are the target. The people making launch announcements, milestone celebrations, and viral shorts for tokens they care about. The economic engine will run on the same $BEATS credit system and Base Sub Account infrastructure already powering the live lanes today. No SaaS subscriptions. No API key chaos. Just compute-weighted microtransactions on-chain. Creator Studio is not live yet. It is roadmap. But the infrastructure it will sit on top of is already being stress-tested in production every day. The creative layer is coming. The rails are already laid.

Modern agents extend past basic state graphs and tool calls. @Sam_Witteveen details 5 components required for production-grade agent implementations with stronger orchestration and verification. (via @GoogleCloudTech)

Do you know how to read graphs? If so, interpret this one for me. (I assume you’re in the above inflation light grey line so you’re not affected by this issue, hence why you don’t like to see others advocating for themselves. You’d have a different stance if you were affected).

🎥 7 graphs for human survival Why we need urgent #ClimateAction Full #video▶️youtu.be/MVwg1LsqwSM PL RP🩷💚💙Thank you! #ClimateChange #GlobalWarming #EndFossilFuels #Climate #Klima #ClimateHope

my mistake. you said that graph was from littman and i didnt catch that the graphs from Vandenbussche, E. (2021). Detransition-Related Needs and Support: A Cross-Sectional Online Survey. Journal of Homosexuality.

They certainly don't want graphs like this getting out.

Combine LLMs and graphs and you get the kind of code insight that was so hard to come by in the past! I really love the fact that I can have agents do deep code reviews now. They catch architectural issues and suggest cleaner patterns that I sometimes miss. This capability alone has allowed me to resurrect dozens of projects I started and got to various stages over the decades. They've all been collecting in my projects folders and I've wondered if I'll ever wrap them up. With the kind of automation assistance and insight assistance LLMs give you now, there's no excuse! #AHTechAndAI