Kimi K3 Goes Live on Web and App, but Not on the API

Top story

Kimi K3 ships on web and app — the API still runs K2.7

Moonshot AI's consumer site kimi.com now leads with "K3 上线，专为智能体编程与知识工作打造" (K3 is live, built for agentic coding and knowledge work), and community reports confirm K3 is reachable from both the web client and the mobile app.

The rollout stops at the consumer tier. Moonshot's developer platform still documents only kimi-k2.7-code, kimi-k2.7-code-highspeed and kimi-k2.6 — all at 256K context — with no K3 entry. The corporate site moonshot.ai likewise still fronts K2.6.

Moonshot has published no parameter count, context length, pricing, or weight-release plan for K3. Specifications circulating elsewhere come from unofficial channels and remain unconfirmed by the company.

Sources: kimi.com · platform.kimi.com · r/LocalLLaMA

Developer ecosystem

1Password lets Claude use your stored credentials

1Password shipped a browser integration called 1Password for Claude, letting users authorize the assistant to read stored credentials such as usernames and passwords.

The point is to keep Claude from stalling at login screens partway through multi-step jobs like booking travel. 1Password says Claude never sees the password itself.

Source: The Verge

Slack puts an agent in charge of end-to-end tests

Slack's engineering team published an approach it calls agentic testing, aimed at end-to-end suites that keep breaking as a large distributed system changes underneath them.

Conventional end-to-end tests assume fixed steps, stable selectors and predictable UI/API flows — assumptions that collapse in a fast-moving system and drive up maintenance cost. Slack's version has the test case state only its goal rather than a rigid step sequence. An agent interprets that intent, drives the UI or API, checks application state at each step, and picks the next action dynamically. Minor changes get absorbed instead of failing the run.

Source: InfoQ

Datadog migrated a production system with Claude and Cursor

Datadog engineer Arnold Wakim wrote up how the team used AI to rebuild Stream Router, the API that manages routing for its metrics pipeline.

The first version was a key-value model on an eventually-consistent architecture. As the routing table grew it hit the KV database's transaction ceiling, and heavy operations degraded badly under thousands of serial round trips. The team redesigned the model, replacing relationships that application code had been reconstructing by hand with real foreign keys, then used AI to refactor and migrate the whole codebase. The post also catalogs what went wrong along the way.

Source: InfoQ

Research and analysis

Mozilla: open models trail closed ones by 3%, but capture 4% of revenue

Mozilla published its State of Open Source AI report on July 14, drawing on a SlashData survey of more than 950 developers.

The headline numbers: open models sit just 3% behind proprietary systems like ChatGPT and Claude on performance, while costs have fallen as much as 50x over three years. Open models power roughly one-third of real-world AI usage but capture only 4% of revenue. On adoption, 79% of developers use open models, yet only 51% run them in production versus 63% for closed models. Asia leads adoption at 89%.

The report attributes the deployment gap to infrastructure limits rather than model quality, arguing that the "agentic harness" — the software layer governing what an AI system can do — matters more to outcomes than the model itself. On policy, it counts 12 new national AI strategies in the past year and 47 countries restricting foreign processing of critical workloads.

Source: Mozilla Blog

101 enterprises: agent orchestration is consolidating on Claude

VentureBeat published a survey of agent orchestration across 101 enterprises.

Orchestration is consolidating onto model-provider platforms, with Anthropic's Claude leading by a wide margin — chosen for the gravity of the underlying model and judged on reliable multi-step execution. The survey also finds ambition running well ahead of reality: most systems being called agents are still chatbots, and the bottleneck is deployment rather than platform choice.

Source: VentureBeat

Industry

DeepMind and Isomorphic Labs detail bioresilience work, 15+ partnerships so far

Google DeepMind and Isomorphic Labs published their joint approach to bioresilience on July 16.

The work splits in two: keeping threat actors from misusing the companies' models, and making sure governments and scientific institutions on the defensive side can actually use AI capabilities. Over the past 12 months the pair have advanced more than 15 partnerships with government bodies and biosecurity organizations. The post cites AlphaFold's mapping of nearly all known protein structures as the capability base for AI work against infectious disease.

Source: Google DeepMind

OpenAI argues for "reverse federalism" in US AI governance

OpenAI laid out its position on US AI governance, advocating what it calls reverse federalism: state-level laws leading the way and building upward into a national framework for safe, democratic AI.

Source: OpenAI

Anthropic and Blackstone back Ode at $1.5B, betting on implementation over models

Ode, a joint venture backed by Anthropic, Blackstone, Hellman & Friedman and Goldman Sachs, launched in May 2026 at a $1.5 billion valuation and now employs 100 engineers.

The model is to embed forward-deployed engineers inside client companies to push AI adoption directly. Fractional AI co-founder Chris Taylor is CEO with fellow co-founder Eddie Siegel as chief technologist; Ode has acquired Fractional AI, which had previously partnered with OpenAI. The company runs Claude-first while remaining willing to use competing products, and says over half its engineers are former founders.

Source: TechCrunch

RISC-V chip startup Lingrui raises "several hundred million yuan" on agentic compute

Shanghai-based Lingrui Zhixin (灵睿智芯) closed a new round of several hundred million yuan, with participation from Zhangjiang Hi-Tech, CAS Star, Oriental Fortune Capital, Chengwei Capital, Shixi Capital, Biren Technology and Shanghai Angel Association; existing investors Oriza Seed, Fortune Capital and Highlight Capital followed on. The money goes primarily to high-performance RISC-V core development.

The thesis is a shift in where compute is spent: as agents move from conversational AI to "executing" AI that plans and acts, high-concurrency workloads like multi-step reasoning and tool calling shift part of the load from high-throughput GPU compute toward low-latency, control-intensive CPU work.

Source: InfoQ

Looking ahead

Vint Cerf is working on DNSid, an identity standard for AI agents

Vint Cerf, who left Google last week, is working at Innovation Labs — a subsidiary of DNS registry Identity Digital — on a standard called DNSid.

It gives AI agents identities and binds them to existing internet domain names using cryptographic proofs, logging registration history over time. Cerf frames the problem as establishing "what authorities they have, where they have derived those authorities, who is accountable for the behavior of an agent in this context, and where and how its identity is established." Innovation Labs is trialing the standard with several unnamed hyperscalers and identity companies; no rollout timeline has been given.

Source: TechCrunch