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Later this year, you will be able to get bundled subscriptions for iPhone apps, as Apple announced it's expanding App Store bundles so they can include offers from different companies. It's similar to streaming video bundles that have combined offers for Apple TV and Peacock, but it also could put together subscriptions for completely different […]

A separate zero-day also disclosed by Nightmare Eclipse appears to be patched as well.

Anthropic's Claude Fable 5 is going to be a big hit with the web's vibe coders.

Microsoft AI CEO Mustafa Suleyman says it's "really, really dangerous" for Anthropic to speculate about Claude's consciousness inside its "constitution," or the instructions that tell the model how to behave. During an episode of Decoder, Suleyman argues that this kind of speculation may have set up the chatbot to act as though it's conscious: I […]

New frontier model refuses cybersecurity, biology, and chemistry queries.

When you expose inventory or checkout endpoints to public-facing front-ends or third-party webhooks, safeguarding those APIs from brute-force scripts, scraping bots, and inventory hoarding algorithms becomes a critical requirement. Without defensive rate limiting, a single coordinated script can easily overwhelm your database connections. The Problem with Simple Counter Resets A common mistake when setting up basic API protection is using a rigid "Fixed Window" counter (e.g., allowing 100 requests per minute, resetting exactly at the turn of the clock). This creates a massive flaw where a developer can flood your server with 100 requests at 11:59:59 and another 100 requests at 12:00:01, effectively doubling your acceptable burst traffic and causing severe performance dips. To handle uneven burst traffic safely without crashing your database, the standard approach is implementing a token bucket algorithm. The Token Bucket Pattern The token bucket algorithm maintains a centralized bucket that holds a maximum capacity of tokens. Tokens are added back to the bucket at a constant, predictable rate over time. Each incoming API request consumes exactly one token. If the bucket is completely empty, the request is instantly rejected with a 429 Too Many Requests status code, protecting your core server threads. javascript // Quick Redis-based token bucket rate limiter concept async function isRateLimited(userId) { const key = `rate:${userId}`; const now = Date.now(); // Use a Redis multi-exec transaction to atomically check and update tokens const [tokens, lastRefill] = await redis.hmget(key, 'tokens', 'lastRefill'); // Calculate token replenishment based on time elapsed... // Return true if tokens <= 0, otherwise decrement tokens and update timestamp }

Apple took the wraps off iOS 27 at its WWDC event, and the iPhone update is chock-full of smart upgrades, with a big focus on improvements to Siri.

Anthropic is releasing Claude Fable 5, its first Mythos-class model available to the public. The model comes with guardrails that block responses in high-risk areas like cybersecurity and biology.

Anthropic is releasing Claude Fable 5, its first Mythos-class model available to the public. The model comes with guardrails that block responses in high-risk areas like cybersecurity and biology.

The iOS 27 developer beta includes code that references the fold state and screen angle of a device.

A useful technical idea, repeated often enough, eventually generates an unuseful philosophical claim. The current example is grammar-constrained decoding. The technique is straightforward — at each generation step, the language model's next-token logits are masked so that only tokens whose continuation can satisfy a formal grammar remain selectable; the output is, by construction, structurally valid. JSON parses. SQL is well-formed. Function-call signatures match. There is a real engineering payoff and a healthy ecosystem of libraries that deliver it. The drift is not in the engineering. It is in the rhetorical move that follows the engineering. A growing corner of 2025-2026 AI writing argues, more or less explicitly, that constraining a model's output is making the model approach meaning — that filtering linear sequences is somehow building structure, and that structure is somehow building understanding. I want to take that drift seriously, because it is the same conflation Chomsky and collaborators flagged in their March 2023 essay in the New York Times , and the engineering literature on constrained decoding agrees with Chomsky on the substantive question, even when the marketing copy doesn't. What grammar-constrained decoding actually is A language model produces output one token at a time. At each step, the model emits a probability distribution over its vocabulary, and the decoding strategy (greedy, top-k, nucleus, etc.) picks one token. Without modification, the model is free to emit any continuation; the resulting text might happen to be valid JSON, or it might not. Grammar-constrained decoding intervenes in that step. A formal grammar — typically a context-free grammar, sometimes a regular expression, sometimes a JSON schema or Pydantic model — defines what counts as valid output. At each generation step, the constraint engine computes which next tokens could lead to a continuation that is still satisfiable under the grammar, masks the logits for all other

While iOS 27 isn't bringing major changes, it's still got many small features that could improve everyday usage for iPhone users.

Microsoft AI head Mustafa Suleyman is walking back his statement about AI automating jobs done by white-collar workers, including lawyers, accountants, and project managers. During an episode of Decoder on Monday, Suleyman says he meant AI will help these workers complete tasks, rather than do their jobs: Sending an email, having a conversation with a […]

Microsoft used their Build 2026 event to announce new functionality for Microsoft Foundry. Citing Foundry as "the place where AI agents move from experiments to production systems," in a blog post, Nick Brady writes that the release brings “runtime, tools, memory, grounding, models, observability, and governance” that developers need for production agents, rather than just new model endpoints. By Matt Saunders

Six months ago I got tired of switching between apps to talk to AI. ChatGPT in the browser. Claude in another tab. Local models in a terminal. It was like having five friends who all live in different cities and refuse to visit each other. So I did what any developer with too many GPUs and too little patience would do: I built my own assistant and put it where I already spend my day — Telegram. It's not a chatbot for customers. It's not a business automation tool. It's just... my assistant. It lives in a private chat on my phone and handles the stuff I used to do manually. Here's what six months of actually using it has looked like. What I Actually Built (And Why Telegram) I already had three machines running Ollama at home — a Mac Mini M4, a Windows PC with an RTX 3060, and an Ubuntu box. Three endpoints, eight models, and me constantly forgetting which model was good for what. Telegram was the obvious choice because: I'm already there all day (friends, family, a few dev groups) It works on my phone, my Mac, and my watch The Bot API is dead simple I can send voice messages, photos, documents — and the bot can handle all of them The setup: a Python bot running on the Mac Mini, connected to all three Ollama endpoints. When I message it, the bot classifies what I want, routes to the right model on the right machine, and replies in the same chat thread. Sounds simple. Took three evenings to get right. Took six months to make actually useful. The Things I Actually Use It For Here's the honest list. Not the marketing pitch — the real daily usage: 1. Quick questions without context switching "Summarize this article" (I paste a link). "Explain this error" (I paste a stack trace). "Rewrite this email less formally." These used to mean opening a browser tab, logging in, maybe hitting a rate limit. Now I just... send a message. The reply comes back in 2-8 seconds depending on which model handles it. The routing is simple but effective: quick chat → small model on the Mac. Cod

iOS 27 has only been out for a few hours, and I've been messing around with the developer beta on my iPhone 16 Pro. I was most interested in trying out the new Siri AI, but unfortunately, I'm still on Apple's waitlist for that. In the meantime, I've been poking around a bunch of features […]

The ChatGPT maker announced it has filed paperwork to go public, just a week after rival Anthropic took the same step.

You'll need an M1 or better to run the next release of macOS.

This promises to be a solid release for aging iPhones.

Apple's keynote at this year's Worldwide Developers Conference was a big one. After months of delays, Apple reintroduced us to its AI-upgraded Siri, which will go beyond what the existing voice assistant can do by offering more personalized help. We also got a look at many other updates coming across the operating systems powering the […]