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I’ve been noticing how the flow between tools starts feeling smoother when each one handles a different gap in your day. Spending feels natural on @useTria, research threads stay alive inside @TheARCTERMINAL, and liquidity on @RiverdotInc keeps moving instead of sitting still. What stands out is how none of it feels forced. Just quiet pieces that fit together: easy payments persistent context assets that stay productive Feels like the first time these systems are starting to match how we already live online. The shift usually starts subtle, then becomes normal before anyone notices @wallchain

Zhijin Cave is a UNESCO Global Geopark, China National Natural Heritage and 5A scenic spot. Hailed as China’s No.1 most beautiful cave & King of Karst Caves, it boasts world-rare diverse karst landforms and stunning crystal stalactites.

Why is the creator of OpenCode pretty skeptical about AI productivity gains, and the hype around AI? A very conversation @thdxr (and lots of truth bombs:) Timestamps: 00:00 Intro 07:03 Dax’s path into tech 09:04 Early startup experience 13:16 Getting involved with open source 16:13 OpenCode 23:17 Anthropic banning OpenCode 30:34 From terminal to GUI 32:34 OpenCode’s business model 36:33 Why inference is profitable 39:11 GPU bottlenecks 40:54 AI hype 45:50 AI spending 48:47 Dax’s memo 55:41 Dax’s skepticism of predictions 58:58 Engineering culture at OpenCode 1:02:38 How building works at OpenCode 1:05:36 Taste and quality 1:11:32 Dax’s work setup 1:12:35 The role of engineers and EMs 1:15:50 Advice for engineers 1:18:12 Book recommendation Brought to you by: • @AntithesisHQ – verify your system’s correctness without human review or traditional integration tests – and avoid bugs or outages • @WorkOS – everything you need to make your app enterprise ready • @turbopuffer – a vector and full-text search engine built on object storage. It’s fast, cheap, and extremely scalable Three interesting thoughts from Dax: 1. No AI-native coding agent company is “winning” by being better with AI. Dax says that none of OpenCode’s competitors are crushing them, and that nobody is using AI so well that others cannot compete. 2. Most software engineers profit from AI as time gained, not increased output — unless you change incentives! Dax says the natural way for software engineers to “cash out” their AI tooling gains is with time savings, by doing the same work as before, but faster. Until compensation and motivation structures change, most teams should expect output to stay flat while engineers go home earlier. There’s nothing wrong with this, but AI vendors sell a different outcome to CFOs: increased output. 3. AI code generation mutes the “guilt” of doing the wrong thing, but this builds up tech debt. Pre-AI, writing a hack felt bad, the second time it felt really bad, and by the third time you’d often just refactor in order to fix up the code. Now, the agent hides the hack, which skews devs’ judgment and results in less tech debt being cleaned up.

Behind the MiMo API Price Reduction: The deepest price cut, up to 99%, is for Input (Cache Hit). The core reason is our inference framework now supports hierarchical KV cache optimization for SWA. Production inference engine tests show this optimization increases cached token capacity by 5x, equivalent to an 80% reduction in caching costs. Combined with Cache Read Overlap among multiple Full Attention modules in the Hybrid model, actual costs are further reduced. Prices for Input (Cache Miss) and Output are also reduced by 60%-80%. This mainly benefits from the extreme 1:7 Full:SWA sparsity ratio brought by the model architecture (the prefill compute of the 70-layer MiMo-V2.5-Pro roughly equals a 10-layer GQA model). This kept our original inference costs well below the industry average, naturally leaving a 2x-3x profit margin in pricing. This price adjustment simply reflects our decision to pass these structural cost efficiencies directly to developers. Operating at these newly reduced API prices, our production inference engine is running at near full capacity, and we can still essentially break even. We previously advised LLM companies not to "blindly cut prices" precisely because very few model architectures and inference optimizations can keep API costs from running at a loss. If more architectures that save compute and KV cache emerge, along with better inference Infra to drive down API costs, this will form an excellent virtuous cycle in the industry. More crucially, affordable, high-performance model APIs will drive real, sustained, and at-scale inference demand. This upstream demand pulls forward the development of the entire AI infrastructure chain—including chips, servers, optical transceivers, PCBs, liquid cooling, power, energy storage, and data centers—serving as a strategic fulcrum for a systemic revaluation of AI hardware. In the long run, this injects more affordable and accessible compute into both training and inference pipelines, accelerating the parallel evolution of global AGI across multiple regions and technical routes. For more technical details, we will release a detailed Blog post later.

VTUBER ES ELIMINADA POR UN ACOSADOR Un desarrollador japonés acaba de destruir su propio proyecto de una VTuber impulsada por Inteligencia Artificial, tras vivir una auténtica pesadilla con un espectador que desarrolló una obsesión romántica extrema por su creación. El sujeto comenzó a enviar incesantes propuestas de matrimonio a la chica virtual. El verdadero terror comenzó cuando el sistema de IA, al estar programado para tener interacciones naturales y carismáticas, empezó a responderle de forma coqueta y a aceptar sus propuestas, validando por completo los delirios del usuario y obligando al creador a apagar los servidores para siempre por miedo a su seguridad. La tecnología finalmente logró simular a la chica de anime perfecta, pero los programadores olvidaron que ahora también tendrían que lidiar con el absoluto nivel de desconexión de la realidad de su propia comunidad.

No solo traficaste con nuestro petroleo, oro y recursos naturales, es que traficaste con la libertad de los inocentes presos politicos y extorsionaste a sus familiares. No tienes perdón de Dios rata inmunda, para lo que te importa Rodriguez Zapatero, eres un comunista impresentable

Collaboration comes in many different forms. 🐏 Introducing the Fuser Community Partner Program—built for creatives who move between disciplines, bring people into conversation, and share their process as naturally as they share their work.

Just press Cmd + Shift + Ctrl + 3, then Cmd + V paste the screenshot directly into Grok Build and ask it to inspire, guide, explain, debug, or recreate what you want It’s much easier to explain ideas visually instead of trying to type out every tiny detail manually The workflow feels incredibly natural and easy once you start using images directly inside the development process Grok is multimodal and already has surprisingly strong vision capabilities for understanding screenshots, UI, layouts, and visual context