Maple Grove Report

Maple Grove Report

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It’s hard to believe that Android Wear arrived over a decade ago. Google had great ideas for the platform that would eventually be renamed to “Wear OS,” but somewhere along the way, they were abandoned. To this day, Android Wear got a lot right.

The first version of Android Wear was released in March 2014. It would get 13 updates in the four years before Google launched the big “Wear OS” rebrand. However, by that time, many of the original features had already been ditched.

It worked with iPhones, too

Before Google had fully given up on cross-compatibility

Android Wear on App Store

Nowadays, the phone you carry has a huge impact on your smartwatch options. An Apple Watch only works with an iPhone, and a Galaxy Watch or Pixel Watch only works with an Android phone. It wasn’t always this way, though.

At first, Android Wear only supported Android phones, but in 2015, Google released Android Wear for iOS to the App Store. It allowed iPhone owners to connect Android Wear smartwatches and receive notifications, track fitness activities with Google Fit, and access Google Assistant. iPhone compatibility stuck around for several years, even making the jump to Wear OS in 2021. However, it was removed in 2022 with version 3.5.

In a perfect world, you would be able to use any smartwatch with any smartphone. Let’s be honest, whether you’re using an iPhone or an Android phone, we’re all basically using the same apps. Android Wear showed there’s no technical limitation stopping this from happening—just walled gardens.

Context-aware cards instead of apps

Why did smartwatches become tiny phones?

The original version of Android Wear was drastically different than what we have on Wear OS watches today. There was no row of widgets. No app drawer. Using a keyboard was heavily frowned upon. The entire experience was built upon Google Now cards.

Google Now was the predecessor to Google Assistant. It was a personalized feed that populated with cards throughout your day. The idea was that these cards would appear when you needed them. It could display boarding passes from Gmail when you arrive at the airport, package tracking details, weather alerts, sports scores, nearby events, and much more.

The Google Now feed was essentially the Android Wear “home screen.” The current weather card would peek up above the watch face at all times. Scrolling up on the watch face revealed the list of Now cards and your notifications. It was purely about surfacing important information when you needed it.

That’s fundamentally different than how the Galaxy Watch, Pixel Watch, and any other Wear OS device operate today. Android Wear felt like an experience explicitly designed for a glancable display. Now, our smartwatches aren’t much different than our phones. They’re more powerful, but also more distracting.


Pixel Watch 3 and Pebble Time Steel


The Pebble Smartwatch Is What Smartwatches Should Have Been

Before the days of tiny wrist computers trying to do everything your phone can do, there was Pebble. It was a very different experience from smartwatches today, and I can’t help but wish that the philosophy of Pebble watches had been more popular.

A consistent UI across all models

Android Wear was Android Wear

I recently switched from a Pixel Watch to a Galaxy Watch, and it was also my first time using a Galaxy Watch with a Galaxy phone. One thing was made very clear in the process: Wear OS can be drastically different from device to device.

This wasn’t the case with Android Wear (and early versions of Wear OS). There was only one interface and it was on every watch. The software on the Moto 360 looked and worked exactly the same as it did on the Samsung Gear Live and LG G Watch. It was as if every device ran “stock Android.”

Now, I don’t mind the visual changes between Wear OS on a Galaxy Watch and a Pixel Watch, but the discrepancy in features is a bit lame. I can sync Do Not Disturb modes to my phone, but only if that phone is made by the same company as the watch. Galaxy Watches have gestures that aren’t available on Pixel Watches. Google Wallet on a Pixel Watch is better than Google Wallet on a Galaxy Watch. You get the idea.

I miss when you could focus on buying the smartwatch you wanted, and your phone was not really part of the equation. Android Wear just worked with whatever you had—even an iPhone, as I mentioned already. It was a simpler time in technology, and in some ways, that made it better.


Galaxy Watch 7 and Pixel Watch 4 on wrist


After two years with a Pixel Watch, I realized Samsung’s smartwatch approach is still unbeatable

Android owners have two main smartwatch brands to choose from: Samsung Galaxy Watch or Google Pixel Watch. I’ve spent extensive time with both, but I just recently switched back to a Galaxy Watch after wearing a Pixel Watch for the last couple of years. I’ll explain why.



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TL;DR

Fable 5 topped GPT 5.5 on every major benchmark but was pulled by the US government after three days, making GPT 5.5 the top model you can actually use.

Anthropic’s Fable 5 spent three days as the most capable AI model ever released to the public. It topped the Chatbot Arena leaderboard, crushed OpenAI’s GPT 5.5 on coding benchmarks by double-digit margins, and gave paying subscribers access to Mythos-class reasoning for the first time. Then, on June 12, the US government ordered Anthropic to shut it down.

The result is a strange moment in AI. The model that demonstrably outperforms everything else on the market is the one you cannot use. GPT 5.5, which OpenAI launched in late April under the internal codename “Spud,” is now the strongest model available to developers and consumers, not because it improved but because its only real competitor was removed.

The benchmark gap between the two is not close. On SWE-Bench Pro, which measures a model’s ability to resolve real software engineering issues across open-source codebases, Fable 5 scored 80.3% to GPT 5.5’s 58.6%, a 22-point difference. On SWE-Bench Verified, a curated subset of the same benchmark, Fable 5 reached 95.0%.

The coding benchmarks tell a similar story. Fable 5 leads the Code Arena by 98 Elo points, scoring 1,665 to GPT 5.5’s 1,501. On FrontierCode Diamond, a benchmark designed to test the most difficult programming tasks, Fable 5 scored 29.3% while GPT 5.5 managed 5.7%, and on the broader Chatbot Arena leaderboard Fable 5 sits at number one with GPT 5.5 in fourth.

GPT 5.5 does have one area of strength. On Terminal-Bench 2.0, which evaluates interactive terminal-based coding tasks rather than codebase-level issue resolution, GPT 5.5 scored 82.7% compared to Fable 5’s approximately 88.0%. The gap is narrower there, and the benchmark tests a different skill, executing commands and debugging in real time rather than reading and patching large repositories.

Pricing also favours OpenAI. GPT 5.5 costs $5 per million input tokens and $30 per million output tokens, half the price of Fable 5’s $10 and $50 respectively. For developers running high-volume applications where the performance difference is less critical than cost, GPT 5.5 is the more practical choice even when both models are available.

Fable 5 launched on June 9 as Anthropic’s first Mythos-class model made available to the general public. It offered a one-million-token context window and 128,000 output tokens. Anthropic made it available at no extra cost to Pro, Max, Team, and Enterprise subscribers until June 22, a promotional window that the government directive cut short after just three days.

The shutdown came via an export control directive issued on June 12. The government cited a jailbreak vulnerability as the reason for pulling both Fable 5 and the broader Mythos 5 model family. Anthropic has disputed the severity of the finding, saying the vulnerabilities identified are minor, publicly known, and achievable by GPT 5.5 without any bypass techniques, while reports indicate that Amazon CEO Andy Jassy played a role in triggering the government’s review.

The practical consequence is that developers and researchers who were evaluating Fable 5 for production use have had to revert to GPT 5.5 or Anthropic’s earlier Opus models. For coding-heavy workflows, the downgrade is significant. The 22-point gap on SWE-Bench Pro represents the difference between a model that can resolve four out of five real-world software issues and one that handles roughly three out of five.

Whether Fable 5 returns depends on Anthropic’s negotiations with the government over the export control classification. The company has publicly argued that the directive is disproportionate and that the cited vulnerabilities do not justify pulling the model entirely. Until that dispute is resolved, GPT 5.5 holds the top spot by default, the best model available not because it is the best model that exists.



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