📌 TOPINDIATOURS Eksklusif ai: Apple refreshes AirTag with 50% longer range, louder

Apple has quietly upgraded AirTag, expanding its finding range and improving how easily users can locate misplaced items.

The new AirTag builds on Apple’s object-tracking accessory with a louder speaker, wider Precision Finding coverage, and deeper integration with the Find My network.

Apple positions the update as an incremental improvement rather than a redesign.

The company says the new AirTag continues to focus on helping users recover everyday items such as keys, luggage, and bags.

Apple also keeps the same pricing as the previous generation.

Extended finding range

The new AirTag runs on Apple’s second-generation Ultra Wideband chip.

Apple uses the same chip across several recent devices, including the iPhone 17 lineup and newer Apple Watch models.

With the updated chip, Precision Finding now works from up to 50 percent farther away than before. The feature combines visual cues, haptic feedback, and audio signals to guide users toward a lost item.

Apple also upgraded the Bluetooth chip, extending the distance at which AirTag can be detected.

For the first time, Precision Finding works on Apple Watch. Users with Apple Watch Series 9 or later, or Apple Watch Ultra 2 or later, can locate AirTag directly from their wrist.

Apple says the experience mirrors iPhone-based Precision Finding but adapts it for watch interactions.

Apple says the expanded range helps users track items more effectively in large or crowded spaces.

Apple redesigned AirTag’s internal layout to improve sound output.

The new AirTag is 50 percent louder than the previous generation. Apple says users can hear it from up to twice the distance.

The louder speaker pairs with a new chime sound. Apple says this makes it easier to find items hidden under furniture or packed inside bags.

The company highlights everyday scenarios such as locating keys stuck between couch cushions or finding a wallet before leaving home.

Apple kept the external design unchanged. The AirTag still uses a replaceable battery and maintains water resistance.

Find My and shared location

Apple continues to rely on the Find My network to locate AirTag when it moves out of Bluetooth range.

The network uses nearby Apple devices to detect an AirTag’s signal and relay its approximate location back to the owner.

The new AirTag integrates with Share Item Location, a feature that allows users to temporarily share an item’s location with trusted third parties. Apple says the feature helps recover misplaced items, including delayed luggage.

Apple has partnered with more than 50 airlines to accept Share Item Location links.

Users can share an AirTag’s location with airline staff to assist in luggage recovery. Access remains limited to authorized personnel and expires automatically after seven days or once the item is recovered.

According to airline IT provider SITA, carriers report fewer baggage delays and a sharp reduction in unrecoverable luggage when using shared location data.

Apple says AirTag remains designed only for tracking objects.

The company emphasizes built-in protections against unwanted tracking. These include cross-platform alerts, frequently changing Bluetooth identifiers, and end-to-end encryption.

AirTag does not store location history on the device. Apple says only the owner can access location data.

The new AirTag is available today. Pricing remains unchanged at $29 for a single AirTag and $99 for a four-pack.

Apple continues to offer free personalized engraving through its website and app.

🔗 Sumber: interestingengineering.com

📌 TOPINDIATOURS Breaking ai: Claude Code costs up to $200 a month. Goose does the

The artificial intelligence coding revolution comes with a catch: it's expensive.

Claude Code, Anthropic's terminal-based AI agent that can write, debug, and deploy code autonomously, has captured the imagination of software developers worldwide. But its pricing — ranging from $20 to $200 per month depending on usage — has sparked a growing rebellion among the very programmers it aims to serve.

Now, a free alternative is gaining traction. Goose, an open-source AI agent developed by Block (the financial technology company formerly known as Square), offers nearly identical functionality to Claude Code but runs entirely on a user's local machine. No subscription fees. No cloud dependency. No rate limits that reset every five hours.

"Your data stays with you, period," said Parth Sareen, a software engineer who demonstrated the tool during a recent livestream. The comment captures the core appeal: Goose gives developers complete control over their AI-powered workflow, including the ability to work offline — even on an airplane.

The project has exploded in popularity. Goose now boasts more than 26,100 stars on GitHub, the code-sharing platform, with 362 contributors and 102 releases since its launch. The latest version, 1.20.1, shipped on January 19, 2026, reflecting a development pace that rivals commercial products.

For developers frustrated by Claude Code's pricing structure and usage caps, Goose represents something increasingly rare in the AI industry: a genuinely free, no-strings-attached option for serious work.

Anthropic's new rate limits spark a developer revolt

To understand why Goose matters, you need to understand the Claude Code pricing controversy.

Anthropic, the San Francisco artificial intelligence company founded by former OpenAI executives, offers Claude Code as part of its subscription tiers. The free plan provides no access whatsoever. The Pro plan, at $17 per month with annual billing (or $20 monthly), limits users to just 10 to 40 prompts every five hours — a constraint that serious developers exhaust within minutes of intensive work.

The Max plans, at $100 and $200 per month, offer more headroom: 50 to 200 prompts and 200 to 800 prompts respectively, plus access to Anthropic's most powerful model, Claude 4.5 Opus. But even these premium tiers come with restrictions that have inflamed the developer community.

In late July, Anthropic announced new weekly rate limits. Under the system, Pro users receive 40 to 80 hours of Sonnet 4 usage per week. Max users at the $200 tier get 240 to 480 hours of Sonnet 4, plus 24 to 40 hours of Opus 4. Nearly five months later, the frustration has not subsided.

The problem? Those "hours" are not actual hours. They represent token-based limits that vary wildly depending on codebase size, conversation length, and the complexity of the code being processed. Independent analysis suggests the actual per-session limits translate to roughly 44,000 tokens for Pro users and 220,000 tokens for the $200 Max plan.

"It's confusing and vague," one developer wrote in a widely shared analysis. "When they say '24-40 hours of Opus 4,' that doesn't really tell you anything useful about what you're actually getting."

The backlash on Reddit and developer forums has been fierce. Some users report hitting their daily limits within 30 minutes of intensive coding. Others have canceled their subscriptions entirely, calling the new restrictions "a joke" and "unusable for real work."

Anthropic has defended the changes, stating that the limits affect fewer than five percent of users and target people running Claude Code "continuously in the background, 24/7." But the company has not clarified whether that figure refers to five percent of Max subscribers or five percent of all users — a distinction that matters enormously.

How Block built a free AI coding agent that works offline

Goose takes a radically different approach to the same problem.

Built by Block, the payments company led by Jack Dorsey, Goose is what engineers call an "on-machine AI agent." Unlike Claude Code, which sends your queries to Anthropic's servers for processing, Goose can run entirely on your local computer using open-source language models that you download and control yourself.

The project's documentation describes it as going "beyond code suggestions" to "install, execute, edit, and test with any LLM." That last phrase — "any LLM" — is the key differentiator. Goose is model-agnostic by design.

You can connect Goose to Anthropic's Claude models if you have API access. You can use OpenAI's GPT-5 or Google's Gemini. You can route it through services like Groq or OpenRouter. Or — and this is where things get interesting — you can run it entirely locally using tools like Ollama, which let you download and execute open-source models on your own hardware.

The practical implications are significant. With a local setup, there are no subscription fees, no usage caps, no rate limits, and no concerns about your code being sent to external servers. Your conversations with the AI never leave your machine.

"I use Ollama all the time on planes — it's a lot of fun!" Sareen noted during a demonstration, highlighting how local models free developers from the constraints of internet connectivity.

What Goose can do that traditional code assistants can't

Goose operates as a command-line tool or desktop application that can autonomously perform complex development tasks. It can build entire projects from scratch, write and execute code, debug failures, orchestrate workflows across multiple files, and interact with external APIs — all without constant human oversight.

The architecture relies on what the AI industry calls "tool calling" or "<a href="https://platform.openai…

Konten dipersingkat otomatis.

🔗 Sumber: venturebeat.com