FAR Labs

@whyamihere__ A lot, honestly. Without better inference efficiency, scaling agents in real-world use cases gets expensive very quickly.

@FARLabsAI How much does this really depend on better inference efficiency?

As software value moves toward agents, demand moves toward inference. The winners will be the networks that make AI faster, cheaper, and usable in real time.

@AhmetYilmayn Usually a mix. Existing platforms adapt where they can, but new ones tend to emerge that are built around the new paradigm from the start.

@FARLabsAI Do you think old platforms usually change and grow, or do new ones just take over?

@rowangarciai36 It does feel like a natural progression. As capabilities improve, the interface shifts from tools to outcomes.

@FARLabsAI Moving from SaaS to agents just seems like the next step as things get better.

@dmytroomelian That’s a great point. It’s one thing to demo speed and cost, another to keep systems stable and debuggable when things get messy.

and also the ones boring enough to keep infra sane when agents misbehave fast and cheap is easy on a slide fast, cheap, and debuggable at 3am is where it gets real

@inflectivAI Exactly. As agents chain more actions together, inference becomes the core constraint. Latency and cost start to define what’s actually usable.

@FARLabsAI As agents handle more tasks, every action requires real-time model calls, which makes inference the main cost and performance bottleneck. The companies that reduce latency and cost per request will dominate usage.

@danielgw Agreed. Feels like one of those shifts that looks gradual at first, then accelerates quickly.

@FARLabsAI Definitely something worth watching closely over the next few years

The infrastructure shift that's coming: What if compute could be dynamically allocated from a global pool of GPUs? Pay only for what you use, scale instantly, no infrastructure management. We're building this distributed inference network. Save this thread - we'll share updates as we solve the compute distribution problem.

Why both options fail at scale: • Self-hosting: You pay for peak capacity 24/7, use it 30% of the time • APIs: Costs explode unpredictably, no control over pricing • The real problem: Compute is abundant globally, but poorly distributed • Millions of GPUs sit idle while teams overpay for inference

FOR AI DEVELOPERS: The real costs of running the 5 most popular open-source LLMs in production, with hardware requirements and break-even analysis:

@Rainbow6Game @DawnOfShadow @Andarne_ @Camcamzoro @SonagiStorms @NoLimi7_ Yeah, these cosplays turned out solid. The detail on the operators is impressive.

When passion meets craft, Operators step off the screen! ✨ 🎭 @DawnOfShadow @Andarne_ @Camcamzoro @SonagiStorms @NoLimi7_

@FireMonkey Unlocking new skins always gets me hyped! Can't wait to check out Yeddy.

New Skin - Yeddy (Unlock via Mobile Quest)

@Marvel Can’t wait to see it! Spider-Man always brings the excitement! 🕷️🎉

A Brand New Day starts now. Watch the official trailer for Spider-Man: Brand New Day - exclusively in theatres July 31.

@Wuthering_Waves Loved the event! So many talented artists showcased their creativity! 🎉✨

Wuthering Waves Fan Creation Event "For You Who Walk in Snow" has concluded, and we want to express our heartfelt appreciation to all participants for their dedication and creativity in our fan art event. Let's view the winning entries and their contributors! Check the link for more information: wutheringwaves.kurogames.com/en/main/news/d… #WutheringWaves #WuWaFanart