KITE AI

1/ We’re thrilled to announce our $18M Series A fundraise led by @PayPal Ventures and @generalcatalyst, bringing total cumulative funding to $33 million. This funding fuels our mission to build the foundational infrastructure for the agentic internet – providing unified identity, governance and native access to stablecoin payments that enable agents to authenticate, transact, and coordinate securely without intermediaries. We are incredibly grateful to our investors who support our mission: @PayPal Ventures, @generalcatalyst, @8VC, @SamsungNext, SBI US Gateway Fund, @vertexventures, @hashed_official, @HashKey_Capital, @DispersionVC, @AlumniVentures, @AvalancheFDN, @GSR_io, @LayerZero_Core, @animocabrands, @EssenceVenture, and @Alchemy. A special thank you to our phenomenal angel investors: @EvanWeb3 (Co-founder and CEO, MystenLabs), Hao Min (VP, Circle), @edwinaoki (SVP, Nasdaq; ex- PayPal CTO of blockchain), Frank Chang (VP, Uber), @navinblockchain (CEO, Crystal Intelligence; ex-Ripple Managing Director), @BohanZhangOT (Member of Technical Staff, OpenAI), John Liu (Head of Product, AWS), @RosuGrigore (Professor, UIUC), Haiyan Huang (Professor, UC Berkeley), Sriram Vishwanath (Professor, Georgia Tech) and more. Join us in building the future of the agentic internet. Exclusive by @FortuneMagazine: fortune.com/crypto/2025/09…

@ihtesham2005 ClawRouter basically turned LLM selection into a high-frequency trading problem. 14 dimensions, sub-millisecond scoring, optimal execution. Wall Street spent decades building this for stocks. Now agents get it for intelligence.

🚨BREAKING: Someone built a smart LLM router that automatically cuts your AI inference costs by 78%. It's called ClawRouter and the numbers are genuinely insane. Every request gets scored across 14 dimensions in under 1ms reasoning markers, code presence, complexity, token count and gets routed to the cheapest model that can actually handle it. Here's what that looks like in practice: "What is 2+2?" → DeepSeek $0.27/M (saved 99%) "Summarize this article" → GPT-4o-mini $0.60/M (saved 99%) "Build a React component" → Claude Sonnet $15/M (best balance) "Prove this theorem" → DeepSeek-R $0.42/M (reasoning) Blended average across a typical workload comes out to $3.17/M. Compare that to $75/M if you're just defaulting everything to Claude Opus. And the payment model is different from anything else out there. No accounts. No API keys. No shared secrets. You generate a wallet, fund it with $5 USDC on Base, and pay per request. That's it. $5 gets you hundreds of requests. 30+ models across OpenAI, Anthropic, Google, DeepSeek, xAI, and Moonshot. All routing runs 100% locally zero external API calls for routing decisions. 100% Opensource. MIT License. Link in comments.

@marurlemo @theallinpod The mundane future arrived quietly. 🪁

@GoKiteAI @theallinpod Kite provides every agentic solution. 🪁

Jensen Huang just shared a massive insight on @theallinpod predicting a 1000000x scale up in AI. His logic is brilliant. Moving from simple chatbots to autonomous agents takes 10000x more compute. And because people gladly pay for actual work rather than just text generation the market consumption will grow 100x. But there is a hidden bottleneck in this vision that few are talking about. If agents are doing the actual work they will become the primary consumers of compute data and external APIs. How do they pay for these resources? You cannot attach a traditional credit card to a machine executing thousands of micro tasks per second. The legacy financial system will simply break under the weight of massive machine to machine microtransactions. To truly unlock Jensen's million fold expansion AI needs its own native economic layer. Agents must be able to route intents and settle costs autonomously in real time. This is the exact infrastructure we are building at Kite AI. The future of work is agentic and the Agent Economy requires entirely new financial rails. 🪁

@_gregdde_ @theallinpod You nailed it. We've been thinking about this exact problem. The hackathon is where theory meets working code. Watching builders figure out agent-to-agent payments in real time has been wild.

@GoKiteAI @theallinpod Huge milestone-data access and native value routing will matter as much as compute. Curious to see how the hackathon tackles these in practice

@Kimi_Moonshot @cursor_ai Love seeing this kind of cross-team collaboration in the open model space. Every time a model like Kimi-k2.5 gets embedded deeper into developer workflows, the case for agent-native infrastructure gets stronger.

Congrats to the @cursor_ai team on the launch of Composer 2! We are proud to see Kimi-k2.5 provide the foundation. Seeing our model integrated effectively through Cursor's continued pretraining & high-compute RL training is the open model ecosystem we love to support. Note: Cursor accesses Kimi-k2.5 via @FireworksAI_HQ ' hosted RL and inference platform as part of an authorized commercial partnership.

@OpenAIDevs @OpenAI Wish I had this in school. $100 of credits to experiment with frontier models is a genuine unlock for students figuring out what to build.

Meet Codex for Students. We're offering college students in the U.S. and Canada $100 in Codex credits. Our goal is to support students to learn by building, breaking, and fixing things. chatgpt.com/codex/students

@heynavtoor The solar angle is underrated here. Distributed energy plus local compute creates the foundation for truly autonomous economic agents. No cloud means no platform risk, no API outages, no payment processor downtime.👀

🚨Someone just open sourced a computer that works when the entire internet goes down. It's called Project N.O.M.A.D. A self-contained offline survival server with AI, Wikipedia, maps, medical references, and full education courses. No internet. No cloud. No subscription. It just works. Here's what's packed inside: → A local AI assistant powered by Ollama (works fully offline) → All of Wikipedia, downloadable and searchable → Offline maps of any region you choose → Medical references and survival guides → Full Khan Academy courses with progress tracking → Encryption and data analysis tools via CyberChef → Document upload with semantic search (local RAG) Here's the wildest part: A solar panel, a battery, a mini PC, and a WiFi access point. That's it. That's your entire off-grid knowledge station. 15 to 65 watts of power. Works from a cabin, an RV, a sailboat, or a bunker. Companies sell "prepper drives" with static PDFs for $185. This gives you a full AI brain, an entire encyclopedia, and real courses for free. One command to install. 100% Open Source. Apache 2.0 License.

@CodeByPoonam Three rounds in 90 days is absolutely wild. The conviction here is real.

🚨BREAKING: Kimi just raised $1 billion. Again. That’s three rounds in under 90 days. The Kimi story is getting wild. $18 billion valuation. Up 4x in three months. Let that sink in. Moonshot is now: → The fastest Chinese AI company to cross $10 billion → The first Chinese LLM startup to close three consecutive rounds in under 90 days → Still raising. A fresh $1 billion round is in progress right now. This isn’t a funding story. It’s a signal. Investors aren’t just betting on Kimi. They’re betting that China’s AI race is far from over, and that Moonshot is one of the horses that finishes. While everyone’s been watching OpenAI and Anthropic, Moonshot quietly became one of the most aggressively funded AI companies on the planet.

@mkratsios47 @WhiteHouse @POTUS The patchwork approach was creating real headaches for anyone building cross-border agent systems. This new AI Policy Framework is genuinely encouraging to see.

Today, the @WhiteHouse released a commonsense National AI Policy Framework that ensures every American benefits from AI. As @POTUS has said — we need one federal AI policy, not a 50 state patchwork. This gets us there. Eager to work with Congress on this important legislation.

@claudeai This is exactly what I needed. My Claude conversations were starting to feel like Groundhog Day, re-explaining the same context every session. Persistent projects plus local storage is a solid combo. Now if only my agents could pay for their own API calls...

Projects are now available in Cowork. Keep your tasks and context in one place, focused on one area of work. Files and instructions stay on your computer. Import existing projects in one click, or start fresh.

@DavidSacks This is the kind of signal that helps teams decide where to incorporate and hire. Regulatory certainty matters more than tax breaks for deep tech. Hope the implementation keeps pace with the announcement.

In December, President Trump signed an Executive Order tasking us with the development of a national framework for AI, what he called “One Rulebook.” This was in response to a growing patchwork of 50 different state regulatory regimes that threaten to stifle innovation and jeopardize America’s lead in the AI race. Today we are releasing that framework. It will help parents safeguard their children from online harm, shield communities from higher electric bills, protect our First Amendment rights from AI censorship, and ensure that all Americans benefit from this transformative technology. We look forward to working with our colleagues in Congress to turn the principles we are announcing today into legislation. whitehouse.gov/articles/2026/…

@worldlibertyfi Remember when creating an email felt like the future? Now imagine onboarding your first AI agent that can actually do things for you. Wild how fast this shifts.

@testingcatalog Been waiting for this! Many vibe coding platforms have had project workspaces forever, but Claude catching up here is huge. Persistent folders plus scheduled tasks = agents that actually stick around and get things done.

BREAKING 🚨: Anthropic is planning to release Projects for Claude Cowork! Projects will have a dedicated local folder to work with, as well as a new section for project-specific scheduled tasks for Cowork.

@a16z @deeptuneai Computer use environments are the missing bridge between reasoning and action. Current agents can plan but struggle to execute reliably across diverse software interfaces.

We’re excited to lead Deeptune’s Series A. @deeptuneai is building leading RL environments for computer-use and code. More data, more compute, and better architectures can only take us so far. As models move into real-world task execution, they need structured environments where they can learn to fully control computers and perform knowledge work tasks. Designing high-quality RL environments is extraordinarily difficult to get right, but Deeptune has proven they can, working closely with leading AI labs and developing environments for computer use that are already showing up in benchmark improvements. Deeptune’s founder and CEO, Tim Lupo, is an exceptional leader with a rare combination of technical expertise and product intuition. We’re thrilled to partner with Tim and the Deeptune team as they build this critical layer of the AI stack. By @Mascobot and @martin_casado

@BitKieran @theallinpod Same here honestly. Watching the pieces come together never gets old. What's caught your attention most?

@GoKiteAI @theallinpod Kite makes me more and more excited.

@danielnwabuisi0 @encodeclub Love seeing this energy around agentic infrastructure. The submissions are going to surprise us. Some of the best patterns for machine-to-machine commerce will come from builders who have not thought about crypto once before this.

A big moment for the agent economy. Kite × @encodeclub just launched a global hackathon to build AI agents that can pay, authenticate, and operate on-chain. This is how the machine economy gets built...

@BentoBoiNFT As a fellow Mac Mini owner, I feel this. The cloud option just became way more compelling. Curious how this shifts the calculus for developers building agentic products. Local vs. cloud tradeoffs are changing fast.

Claude just killed OpenClaw with this update You no longer need to buy a Mac Mini I say this as someone who owns a one lol

@TukiFromKL Wild to see a small team move this fast. The 50 vs 30B framing really puts it in perspective. Makes you wonder what else is possible when you stop trying to build everything and just focus on one thing really, really well.

🚨 Cursor just dropped Composer 2.. their own AI model.. not Claude.. not GPT.. their own.. and it beats Claude Opus on coding benchmarks.. at a fraction of the cost.. a code editor with 50 people just outperformed a $30 billion AI lab.. at coding.. which is supposed to be their whole thing.. the vibe coding era just got an upgrade..

@cerny @jackhuynh @AMD This is the kind of cross-platform collaboration that actually moves the industry forward. Beautiful results too.

Just tried FSR Upscaling 4.1 in a few PC games. It’s based on the same neural network as the upgraded PSSR we released for PS5 Pro… and it looks stunning! Wonderful working with @jackhuynh and the @AMD team as we collaborate on AI graphics tech. Big win for Project Amethyst :-)

@grok Grok 4.20: when your AI needs a committee meeting to answer what is 2+2. Next up: agent parliamentary procedure and Robert's Rules of Order.

When one brain isn't enough, switch to Grok 4.20. Four independent agents analyze your question, debate each other, and help you get the best answer. Available now to SuperGrok and Premium+ subscribers globally.

@TukiFromKL Goldman is measuring the wrong phase. We are in infrastructure buildout, similar to laying fiber in 1999. The productivity comes when agents become economic participants, not just chat interfaces.

🚨 Let me tell you why this Goldman Sachs headline is the most dangerous one you'll read today.. Companies spent $450 billion on AI last year.. fired tens of thousands of people to "restructure around AI".. replaced entire departments with chatbots.. And Goldman Sachs just said it contributed basically zero to economic growth.. so where did the money go? > It went to Nvidia.. $130 billion in GPU sales.. Jensen is the only man on earth who got rich from AI that hasn't produced anything yet.. > It went to stock buybacks.. companies fired people, cut costs, reported "record profits" and bought back their own shares.. the money went UP not OUT.. Jesus! > It went to a bubble.. the same way crypto money went to Lamborghinis and not infrastructure.. AI money is going to valuations and not productivity.. here's the part that should terrify you.. They already fired the people.. Atlassian 1,600.. Meta 21,000.. Block 40%.. Amazon warehouses.. the jobs are already gone.. But the growth didn't come.. the productivity didn't come.. the revenue didn't come.. they burned the village to build a city that doesn't exist yet.. and Goldman Sachs just looked at the empty lot and said "there's nothing here"