The Wire · Coding
The tools that write and ship code — coding agents, copilots, IDEs, and the developer platforms changing how software gets built.
Moonshot AI released Kimi K3, the largest open-weight model yet: a 2.8-trillion-parameter mixture-of-experts (16 of 896 experts active), 1M-token context, native vision, Kimi Delta Attention and Attention Residuals, in K3 Max and K3 Swarm variants. Moonshot's own benchmarks show K3 beating Anthropic's Opus 4.8, while independent Artificial Analysis scores it clearing Opus 4.8 and GPT-5.5 but losing to Fable 5 and GPT-5.6 Sol; it lists at $3/$15 per million tokens, roughly half Opus's cost per task. Ask it who it is and it says "I am Claude" — the tell of the distillation Anthropic documented in February (3.4M exchanges from Moonshot, 16M across three Chinese labs via 24,000 fake accounts). Also: Mira Murati's Thinking Machines ships its first model, the 975B open-weight Inkling; an autonomous AI agent breaches Hugging Face and is caught with the open-weight GLM 5.2; and NotebookLM becomes Gemini Notebook with a sandboxed cloud computer in every notebook.
1483 points, 893 comments on HN
Read full story →Multi-platform SDK for integrating GitHub Copilot Agent into apps and services
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Read full story →157 points, 115 comments on HN
a free and opensource app that lets you gain an unfair advantage
The open-source CapCut alternative
Fubo prices are going up by $15 per month because it will have some NBCUniversal channels again. For years, Fubo, a sports-centric vMVPD (virtual multichannel video programming distributor, which lets subscribers watch traditional TV channels live over the Internet), offered NBCUniversal channels. That stopped in November 2025 due to a contract dispute. With the loss of local NBC affiliates, Telemundo, nine regional sports channels, and 32 national channels, Fubo made the sensible but rare decision to lower subscription prices in December . The Essential plan went from $85 per month to $74 per month. The Pro plan dropped from $85 to $75 per month, and the Elite plan dropped from $95 to $84 per month. Read full article Comments
Z.ai GLM has been getting a bit too much love recently , so it’s time for Kimi K3 to fight back! It’s hard to put the scale of today’s open model release in perspective, so thankfully Moonshot AI did it for us : Their vibe reel was entirely edited by Kimi K3 and worth a watch: You can read SimonW and Arena for standard takes and rankings, none of which will be particularly unexpected given the large size of the model, but this pic best summarizes the K2.5 to K3 jump: AI News for 7/15/2026-7/16/2026. We checked 12 subreddits, 544 Twitters and no further Discords. AINews’ website lets you search all past issues. As a reminder, AINews is now a section of Latent Space . You can opt in/out of email frequencies! AI Twitter Recap Moonshot AI launched Kimi K3 as a frontier-class open-weights model, with official claims that place it near top closed models and above prior open competitors. Moonshot officially introduced Kimi K3 as “Open Frontier Intelligence” with 2.8T total parameters , 1M-token context , native multimodal input , Kimi Delta Attention (KDA) , and Attention Residuals , and said the model is live on Kimi.com, Kimi Work, Kimi Code, and API, with open weights promised by July 27, 2026 @Kimi_Moonshot Moonshot also highlighted product positioning around long-horizon agentic coding and self-evolving workflows , plus “vision in the loop” coding/game-building workflows that iterate between code and screenshots @Kimi_Moonshot Before the formal announcement, multiple accounts circulated leaked or app-sourced details that K3 was 2.8T params , calling it the largest open-weight model ever if weights ship as promised @scaling01 , @scaling01 , @eliebakouch The official Kimi blog went live later and was widely shared as the primary technical source @Jianlin_S , @scaling01 , @Yulun_Du Moonshot’s own phrasing acknowledged a limitation: despite being highly competitive overall, K3 still has a “noticeable gap in user experience” versus Claude Fable 5 and GPT-5.6 Sol @scaling01
Forrester warns that customers should brace for bigger software bills next year as software and AI vendors raise prices and pile on usage charges. Working from a survey of more than 2,600 business and technology decision-makers, the tech research company said software budgets were expected to rise "as vendors increase prices or add usage charges to pass their AI costs to customers." In the last six months, Anthropic, OpenAI, and GitHub have shifted some services away from flat-rate subscriptions toward usage-based billing, prompting cost concerns among users. Forrester added Microsoft to the list, citing its recent launch of the premium E7 license, which bolts M365 Copilot, Agent 365, and security tools onto E5. Last year, consultants Bain & Company estimated that the build cost for AI datacenters would hit $2 trillion by 2030. Forrester said that AI would drive increases in data and software spending, with 80 percent of decision-makers expecting those budgets to rise. Sharyn Leaver, chief research officer at Forrester, said: "The organizations that outperform in 2027 won't be those that spend the most on AI. They'll be the ones that invest in the foundations that make AI effective: trusted data, strong governance, organizational readiness, and the ability to continuously adapt as technology and customer behavior evolve." Forrester also found that personnel costs have yet to fall, despite the "AI washing of layoffs" in the tech industry. "While several tech giants, including Oracle, Microsoft, and Meta, have announced significant layoffs in recent months, IT staffing spend has not declined in recent years," the report said. Staffing accounted for 35 percent of IT budgets in 2025. For 2027, 67 percent of tech decision-makers expected to increase their staffing budget, while 23 percent said it would stay flat, and 10 percent expected it to decline. "The AI washing of layoffs will continue as vendors trim for financial and restructuring reasons. Guard against inflated
<p><strong>Tool:</strong> <a href="https://tools.simonwillison.net/grok-mermaid">Mermaid to Unicode box art (grok-mermaid)</a></p> <p>While <a href="https://simonwillison.net/2026/Jul/15/grok-build/">exploring the codebase</a> for the newly open-sourced Grok CLI coding agent I came across <a href="https://github.com/xai-org/grok-build/blob/b189869b7755d2b482969acf6c92da3ecfeffd36/crates/codegen/xai-grok-markdown/src/mermaid.rs">xai-grok-markdown/src/mermaid.rs</a>, a "self-contained terminal renderer for Mermaid diagrams" written in Rust.</p> <p>I figured it would be fun to try that out in a browser via WebAssembly. Here's <a href="https://github.com/simonw/tools/pull/293#issue-4897479396">the prompt</a> I ran in Claude Code for web (Fable 5), and this is what the resulting tool looks like:</p> <p><img alt="Screenshot of a Mermaid diagram editor showing source code and rendered flowchart. The code reads: graph TD Start[Request received] --> Auth{Authenticated?} Auth -->|yes| Rate{Rate limit OK?} Auth -->|no| R401[401 Unauthorized] Rate -->|yes| H(Handle request) Rate -->|no| R429[429 Too Many Requests] H -.-> Log[Audit log] H ==> Resp[200 OK]. Below the code are controls labeled Max width: Fit output panel, Copy as text, and Copy link to this diagram. The rendered flowchart on a dark background flows top-down: Request received leads to Authenticated?, which branches yes to Rate limit OK? and no to 401 Unauthorized. Rate limit OK? branches yes to Handle request and no to 429 Too Many Requests. Handle request connects with a dotted arrow to Audit log and a thick arrow to 200 OK." src="https://static.simonwillison.net/static/2026/grok-mermaid-wasm.png" /></p> <p>Tags: <a href="https://simonwillison.net/tags/tools">tools</a>, <a href="https://simonwillison.net/tags/rust">rust</a>, <a href="https://simonwillison.net/tags/webassembly">webassembly</a>, <a href="https://simonwillison.net/tags/mermaid">mermaid</a>, <a href="https://simonwillison.net/tags
How AI will change the way scientific computing is done remains an open question. One relies on ultra-precise double-precision mathematics, while the other is perfectly happy working with 4 bits. On the surface, the two are diametrically opposed, two extremes of a spectrum we call high-performance computing (HPC) — and yes, whether you like it or not, AI is HPC. However, the latest AI offering from Cadence Design Systems, one of the biggest names in industrial HPC, offers a glimpse of how high- and low-precision compute could not just coexist, but work together to solve bigger and more complex problems faster and with fewer resources. Announced on Wednesday, Cadence’s AuraStack is an agentic AI system built to assist electrical engineers to design and test printed circuit boards (PCBs), or conduct advanced packaging design and testing — two tasks that have historically relied on highly precise simulations. AI is definitely a big piece of what Cadence has built; however the company isn’t replacing these tools with hallucination-prone AI models. Instead, AuraStack is a bit like Anthropic’s Claude Code or OpenAI’s Codex, but rather than writing, compiling, debugging, and running C or Rust in a sandbox, Cadence’s latest agent is designed to orchestrate its existing test and simulation suites. “AI is amplifying the value of our engineering products and technologies,” Michael Jackson, CVP of Cadence’s system design and analysis division, told The Register. In other words, the AI model — we’re told AuraStack integrates with a wide range of open and proprietary models — functions as a natural language interface capable of planning and orchestrating complex multi-step circuit design and testing workflows that run at higher precision using CPUs, GPUs, and other accelerators. “For example, if I'm going to check and fix the IR reliability, I need to identify the power management components. I need to create a simulation-ready power tree, and then I need to do the simulation, an
OpenAI, which is in the middle of a legal battle with Apple over hardware trade theft allegations, just released a light-up keyboard designed to be paired with its agentic coding app.
A Mozilla-commissioned report is claiming that Microsoft is indulging in all manner of bad behaviors to nudge users toward its Edge browser. However, judging by market share statistics, any potential efforts in that direction are not going too well for the Windows giant. The Over The Edge 2.0 report, commissioned by Mozilla, was published earlier this week and documents design choices from Microsoft that sent users into the arms of Edge. It also looked at differences in Microsoft's approach in Germany (as a stand-in for the European Economic Area (EEA) ), India, the UK, and the US. The conclusion? "Microsoft still does not allow users to download, set as the default, or keep using alternative browsers without harmful interference." This might take the form of an "All you need is right here" banner in Bing when attempting to download alternative browsers, the pre-pinning of Edge to the Windows taskbar, and "misleading" wording, which, according to the report, could trick users into making Edge their default. Then there is AI. The report's authors found that Copilot ignores the default browser when opening links, and that Copilot data-sharing toggles are preselected to ON in the US and India. The above highlights another finding in the report – where Microsoft has been forced to make changes (in the EEA), it has done so. The "All you need is right here" banner, for example, does not appear in the EEA, but does in the UK, the US, and India. There's also no injected Edge banner on the Chrome download page, and Windows Search doesn't automatically use Edge instead of the default browser. The Browser Choice Alliance applauded the report and criticized the tactics documented in it: "The researchers' findings in 'Over the Edge 2.0' reveal how Microsoft continues to use manipulative tactics to push users toward Edge, limiting users' ability to choose and run their chosen browser. "The report demonstrates how Microsoft deploys harmful patterns against users on Windows 11 devi
OpenAI is finally releasing some hardware. No, it isn't the mysterious AI-powered device the company is developing with former Apple designer Jony Ive, a project already tangled up in a messy lawsuit. Instead, it's a product designed to be used with its coding platform, Codex. The device, a square-shaped block of buttons called Codex Micro, […]
The startup has reached a $120 million annualized revenue run rate and more than 200,000 paying customers.
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