Spring Builders: Orson Amiri

What Is Rabbit OS3? The New AI Agent App Moving Beyond R1 Hardware

Orson Amiri — Wed, 30 Sep 2026 10:00:08 +0000

Rabbit is taking its original AI-agent vision beyond the R1 with a new software-focused approach. The company has launched Rabbit OS3, an agentic operating system designed to work across computers, the web, messaging platforms, connected devices, and the R1 itself. Instead of requiring users to perform tasks manually across different applications, the system is designed to understand an intended outcome and coordinate AI models, tools, files, skills, and connected machines to complete the work. Rabbit OS3 became generally available on September 22, 2026, following an invite-only beta, and users do not need an R1 to access it.

At the center of the platform is a conversational AI agent that can work with connected computers through Rabbit Agent, a local program available for Windows, macOS, and Linux. Depending on the task and permissions, the agent can interact with files, terminal commands, desktop applications, and websites. Rabbit says one account can connect up to five devices, allowing users to move tasks between machines without manually transferring their work. The platform also supports memory and third-party skills, while Rabbit's Direct Large Action Model can interact with graphical interfaces when a task requires visual interaction. The goal is to move beyond AI that simply provides instructions toward AI that can actually perform authorized tasks.

Rabbit OS3 also represents a significant change in the company's relationship with the R1. When Rabbit launched the $199 R1 in 2024, dedicated hardware was central to its vision of an AI agent capable of handling digital tasks. The device faced criticism over limited functionality and the gap between its promises and early capabilities. OS3 takes a different approach by making the agent available through existing computers, browsers, messaging services, and the web, with the R1 becoming one way to access the broader system rather than the required gateway. Rabbit is also using a Bring Your Own Key model, allowing users to connect supported AI providers while retaining Rabbit's memory, skills, and device connections. The company says OS3 itself is free, although users are responsible for API costs charged by their selected AI providers.

The shift does not mean Rabbit has completely moved away from hardware, but it does make the software layer more important to the company's strategy. Giving an AI agent access to files, applications, terminals, and connected computers also introduces greater risks than a conventional chatbot, particularly when an agent can perform actions on a user's behalf. Rabbit's terms warn that OS3 and Rabbit Agent are experimental and can produce unintended results, while the company advises against using the software for unattended, safety-critical, regulated, or production enterprise workloads. The broader idea behind Rabbit OS3 is straightforward: instead of buying a dedicated device for an AI assistant, users can bring that assistant to the devices they already own. Whether Rabbit can make that agent reliable enough for complex real-world work will determine how far this software-first strategy can go.

Apple vs Whoop Can A Screenless Apple Band Disrupt Health Wearables

Orson Amiri — Thu, 24 Sep 2026 09:53:09 +0000

Apple is reportedly experimenting with a screenless fitness band that could bring it closer to WHOOP’s minimalist approach to health tracking. Reports suggest the prototype features a fabric strap and a sensor-equipped computing module designed to monitor metrics such as heart rate and other health data. However, Apple has not confirmed the product, its specifications, pricing, or branding, and reports indicate that a commercial launch may not happen before 2028. The project is still considered experimental, so it remains unclear whether Apple will eventually bring it to market.

The idea of removing the screen may seem unusual for Apple, but WHOOP has already built its wearable strategy around exactly that concept. A screenless design can reduce distractions, support longer wear, and allow the hardware to focus primarily on sensors and health tracking. WHOOP 5.0 offers more than 14 days of battery life and focuses on continuous monitoring across sleep, recovery, strain, and other health metrics. IDC also expects screenless health-tracking bands to maintain a durable niche within the broader wearable market, despite pressure on traditional wristband shipments.

This makes the potential Apple vs Whoop competition particularly interesting. WHOOP already has years of experience building its hardware, software, coaching, and membership model around continuous health tracking, while Apple has a much larger health ecosystem connecting Apple Watch, iPhone, the Health app, and third-party services. Apple has also expanded into areas such as Readiness and Health Age, creating more overlap with WHOOP’s recovery and longevity-focused features. A future Apple band could therefore benefit from Apple's existing ecosystem, but it would still need to offer a clear purpose alongside the Apple Watch rather than simply becoming a smartwatch without a screen.

For now, Apple’s reported screenless fitness band remains a concept rather than a confirmed product. WHOOP has already demonstrated that a wearable does not need a display to provide detailed health insights, while Apple brings a broader device ecosystem and established health platform to the table. If Apple eventually launches such a device, its biggest challenge may not be competing with WHOOP on hardware, but proving that a screenless wearable can offer enough value to justify its place alongside the Apple Watch.

Meta Testing Super Sensing AI Glasses: Will Always-On Cameras Kill Privacy?

Orson Amiri — Tue, 22 Sep 2026 13:14:12 +0000

Meta is reportedly testing a new AI feature called “super sensing” for its smart glasses that could make the devices far more aware of their surroundings. According to the Financial Times, the prototype could continuously capture audio and take photos every few seconds, allowing an AI assistant to help users remember things they saw or heard during the day. The reported feature could potentially answer questions such as where a user left their keys or what happened earlier, turning smart glasses into a more persistent memory assistant. However, Meta has not officially announced the feature or confirmed that it will reach consumers.

The biggest concern is not what the glasses can remember, but what they could capture without other people knowing. Meta is reportedly considering keeping the recording indicator LED off while super sensing is active, which could make it difficult for bystanders to know when they are being recorded. Privacy concerns are already surrounding camera-equipped wearables. A March 2026 class action, Bartone v. Meta Platforms, alleges that private imagery and audio captured through Meta AI glasses was reviewed by third-party annotators without express consent. Recording and biometric privacy requirements also differ across U.S. states, creating additional legal complications for always-on devices.

The potential arrival of Super Sensing AI Glasses also comes as Meta's position in the smart-glasses market continues to grow. Omdia estimated that Meta shipped 7.4 million AI glasses in 2025, representing a 281.3% increase from the previous year. Estimates for the company's global market share in Q1 2026 ranged from 69.2% according to IDC to nearly 84% according to Counterpoint Research, with the difference partly reflecting how each firm defines and tracks the category. The reported feature could also arrive on existing Ray-Ban Meta glasses through a software update, meaning users might not need to purchase new hardware. At the same time, regulators and institutions are beginning to respond to the privacy challenges surrounding recording-capable wearables.

The technology could provide useful capabilities, particularly for recalling information, finding objects, navigating unfamiliar environments, or supporting people with certain accessibility needs. But continuous audio and frequent image capture would also create privacy questions that extend beyond the person wearing the glasses. Meta's reported plans remain subject to change, and the company has said it does not comment on internal prototypes. As smart glasses become more capable and increasingly common, the debate will likely shift from whether these devices can continuously understand their surroundings to what safeguards should be required when they do.

Gaming PC Vs. Console: How To Choose The Right Platform

Orson Amiri — Tue, 22 Sep 2026 11:58:35 +0000

Choosing between a Gaming PC and a console comes down to how much control you want over your gaming experience. Consoles use fixed hardware, giving developers a predictable platform to optimize games for, while Gaming PCs allow players to customize components such as the CPU, GPU, RAM, storage, and cooling. That flexibility also brings more configuration and troubleshooting. In 2026, the price gap is less straightforward than before, with Nintendo Switch 2 priced at $449.99 in the U.S. through August before rising to $499.99 from September 1, while Xbox Series X and PS5 Pro are priced at $799.99 and $899.99, respectively.

Performance is another major difference, but average FPS does not tell the entire story. Modern PC GPUs can deliver substantially higher frame rates, particularly at 1440p and high-refresh settings. For example, Tom's Hardware's June 2026 testing recorded averages of 96.4 FPS for the RTX 5070 and 104 FPS for the Radeon RX 9070 at 1440p Ultra without upscaling or frame generation. However, CPU bottlenecks, 1% lows, and frame times can affect how smooth a game actually feels. Consoles reduce the need for players to diagnose these issues because developers optimize performance around known hardware configurations.

When comparing Gaming PC Vs. Console, cost also depends on what is included beyond the main machine. Gaming PCs can have higher initial costs, but they offer component upgrades, competitive game pricing across multiple stores, and generally no platform-level subscription requirement for most PC multiplayer games. Consoles can provide a simpler entry point, although players may also need to account for online memberships, games, and suitable TVs. PC users additionally need to consider the cost of peripherals such as a monitor, keyboard, and mouse. Over time, upgrading individual PC components can extend the system's useful life without replacing the entire machine.

Ultimately, a Gaming PC suits players who want high-refresh gaming, graphics customization, mods, ultrawide displays, extensive peripheral options, and upgrade flexibility. A console is better aligned with players who prefer straightforward setup, fixed performance modes, controller-based gaming, and a couch-focused experience. Game libraries and multiplayer communities can also matter more than hardware specifications, especially when friends or must-play titles are tied to a particular ecosystem. Rather than choosing based solely on peak FPS or hardware specifications, consider your games, display, budget, multiplayer habits, and willingness to adjust settings before deciding.

What Is Ox Alpha? Inside The Viral 1M-Context Stealth AI Model

Orson Amiri — Thu, 17 Sep 2026 12:51:55 +0000

Ox Alpha has quickly become one of the most discussed AI models among developers, despite arriving without a public developer name or traditional launch campaign. The model appeared on OpenRouter on August 20, 2026, through an unnamed third-party provider and is designed for coding, complex reasoning, sustained agentic tasks, and production workloads. Its biggest headline feature is a 1,048,576-token context window, along with support for up to 131,072 output tokens. It can process text, images, and video, while also supporting tool calling and structured JSON responses.

The model's combination of capabilities and anonymous origins helped fuel its rapid popularity. OpenRouter currently lists prompt and completion tokens at zero cost, while OpenCode promoted free access for a limited period. OpenCode also reported significant usage, including 26 trillion Ox Alpha tokens processed in four days, highlighting the level of interest surrounding the model. However, the current free pricing should not necessarily be interpreted as permanent, as no long-term pricing commitment has been publicly confirmed.

The large context window is particularly relevant for developers working with extensive codebases, documentation, transcripts, and multi-step software projects. Ox Alpha can keep a much larger amount of information available during a task, potentially making it useful for debugging, refactoring, coding assistance, and agentic workflows. Its ability to accept visual inputs also allows screenshots, diagrams, and other visual material to become part of a workflow. However, a large context window does not guarantee accurate results, so the model should still be evaluated against real-world workloads rather than judged by specifications alone.

The biggest unanswered question remains the identity of Ox Alpha's creator. OpenRouter identifies the developer as an anonymous third-party provider, while speculation has connected the model to Z.ai's GLM family and Microsoft's MAI models. Neither theory has been confirmed publicly. For now, developers can examine its capabilities and experiment with the model while the mystery surrounding its origins continues. Ox Alpha's combination of a massive context window, multimodal inputs, agentic capabilities, and temporary free access has made it an unusual and closely watched addition to the AI landscape.

How An AI Extinction Warning Turned Into A Viral Meme On X

Orson Amiri — Tue, 15 Sep 2026 12:36:01 +0000

A serious warning about advanced AI unexpectedly became one of X’s strangest viral memes. Former Anthropic researcher Jacob Coxon resigned after criticizing Anthropic and OpenAI over their approach to increasingly capable AI systems. He warned that companies were taking major risks while pursuing self-improving superintelligence. His resignation post quickly attracted widespread attention, reportedly passing 150 million views. What began as a serious AI safety statement soon became the foundation for a new internet copypasta.

X users began copying Coxon’s dramatic resignation format and replacing the original AI catastrophe scenario with deliberately ridiculous threats. The structure remained largely the same: announce a departure, describe an alarming technological development, and warn about its consequences. The difference was that the supposed dangers ranged from Looney Tunes-style fake tunnels to self-closing accounting books, song lyrics, crypto trading, and fictional workplace disasters. Technology workers, designers, founders, engineers, and reporters joined in, turning a serious resignation into an easily reusable meme format.

The popularity of the meme was driven by its timing, recognizable wording, and extreme contrast between serious language and absurd situations. The original post had already reached a huge audience, giving parodies an instantly recognizable template. At the same time, the AI Extinction debate behind the joke remains a serious and unresolved issue. Researchers continue to disagree about the probability of catastrophic AI outcomes, while companies such as Anthropic publicly research areas including alignment, cybersecurity, safeguards, and risks associated with increasingly capable systems. The meme therefore turned a complicated safety debate into something that could spread far beyond the usual AI research audience.

Ultimately, the viral trend shows how quickly social media can transform serious technological concerns into shared internet humor. Coxon’s warning focused on the possibility of humans losing control over increasingly autonomous AI, while X users turned that fear into jokes about cartoon tunnels, office software, pop songs, and crypto. The humor does not settle the underlying debate, but it helped push the conversation into a much wider cultural space. What started as a warning about advanced AI ended up becoming a template that the internet could endlessly remix.

Meta Muse Code Vs. Claude Code Which AI Coding Agent Wins For Developers

Orson Amiri — Thu, 10 Sep 2026 10:58:23 +0000

Meta Muse Code and Anthropic’s Claude Code are taking AI-powered software development beyond simple code suggestions, giving developers agents that can plan, execute, test, and manage complex coding tasks. Meta introduced Muse Code alongside Muse Spark 1.2 in August 2026 and later upgraded it to Spark 1.3 in September. The coding agent is designed for large repositories and long-running development tasks, while Claude Code has evolved around delegation, automation, and developer-controlled workflows.

The biggest difference lies in how the two systems handle AI agents. Muse Code uses a primary agent supported by specialized background agents that can remain active throughout a session. This persistent approach is designed to reduce repeated context gathering and developer intervention during lengthy tasks. It also uses a local event log that records model calls, tool activity, approvals, and edits, allowing work to resume after interruptions. Features such as /plan, /grill, and /goal provide additional control over planning and execution.

Claude Code takes a more modular approach, using subagents with separate context windows and offering experimental agent teams for larger projects. Developers can also use hooks, checkpoints, custom subagents, skills, and permissions to build workflows around their specific requirements. For developers comparing the two platforms, Meta Muse Code Vs. Claude Code comes down to whether they prefer Muse Code’s persistent-agent model or Claude Code’s broader orchestration and customization options.

Pricing also follows different models. Muse Spark 1.3 uses usage-based token pricing, while Claude Code is included with eligible Claude subscription plans, with API usage billed separately. Neither platform is automatically cheaper because the final cost depends on factors such as token consumption, session length, model usage, and multi-agent activity. Overall, Muse Code is an interesting challenger for developers focused on long-running autonomous coding, while Claude Code currently has the broader developer toolkit and greater flexibility for customized engineering workflows.

The Best Tech Of IFA 2026: 10 Groundbreaking Devices To Watch Out For

Orson Amiri — Thu, 10 Sep 2026 06:16:13 +0000

IFA 2026 once again proved why it remains one of the world's biggest stages for consumer technology. Held in Berlin from September 4–8, the event showcased an exciting mix of AI-powered devices, smart home innovations, futuristic wearables, and next-generation computing concepts. Much like the gadgets seen in classic sci-fi movies and TV shows, this year's lineup introduced products that blur the line between imagination and reality.

Among the biggest highlights were devices that rethink everyday technology in unexpected ways. Philips introduced the flexible Hue Liane 360° Rope Light that transforms lighting into a decorative design element, while Hypershell showcased the X Ultra S, an AI-powered consumer exoskeleton built to make hiking and outdoor adventures easier. Dyson also grabbed attention with its CameraJet toothbrush, which combines an integrated camera, AI, and liquid flossing to improve oral care. Lenovo demonstrated its innovative ThinkBook Project Swan, a concept laptop featuring a rollable OLED display that expands from 14 to 17 inches, offering users a larger workspace without sacrificing portability.

IFA 2026 also demonstrated how artificial intelligence is becoming deeply integrated into personal devices. iRobot's Roomba Duo introduced a unique cleaning system where one robot carries and deploys a smaller companion robot for hard-to-reach spaces. Plaud One transformed conversations into searchable notes, summaries, and follow-up actions using built-in AI, while RayNeo GT Max AR glasses delivered a massive virtual display for work and entertainment. RugOne's Xsnap 7 Pro added a detachable action camera to a rugged smartphone, giving users greater flexibility for capturing content on the move.

Rounding out the event were innovations focused on mobility and portable entertainment. Strutt's ev1c showcased autonomous navigation technology for personal mobility, using advanced sensors to safely guide users to their destinations. Aurzen's ZIP Pro impressed visitors with its tri-fold portable Full HD projector that delivers a large-screen viewing experience in a compact design. Together, these groundbreaking products highlighted how IFA 2026 is shaping the future of consumer technology by combining AI, mobility, portability, and practical innovation into devices that could soon become part of everyday life.

Anthropic Launches Claude Fable 5.1 & Mythos 5.1: Features & Pricing

Orson Amiri — Wed, 09 Sep 2026 05:54:48 +0000

Anthropic has introduced Claude Fable 5.1 and Claude Mythos 5.1, marking another significant step in the evolution of its frontier AI models. While both models are built on the same underlying architecture, they are designed for different audiences through distinct safety controls. Claude Fable 5.1 is broadly available for developers, enterprises, and paid Claude users, whereas Claude Mythos 5.1 is reserved for vetted organizations working on advanced cybersecurity and life sciences projects. Beyond performance improvements, Anthropic has focused on making long-running AI workloads more efficient by significantly lowering prompt cache-read costs.

The biggest upgrades in Claude Fable 5.1 revolve around extended coding sessions, autonomous agentic workflows, and complex knowledge tasks. The model can work across entire codebases, perform code reviews, generate and verify tests, identify root causes instead of temporary fixes, and interpret charts, tables, and diagrams within documents. Anthropic also reports notable benchmark improvements over Fable 5, particularly in software engineering and automation tasks, while enterprise customers gain access to enhanced security controls and flexible data governance options.

According to Anthropic, the standard pricing for Claude Fable 5.1 remains unchanged at $10 per million input tokens and $50 per million output tokens. However, cache-read pricing has been reduced by 75%, dropping from $1 to just $0.25 per million tokens. Anthropic estimates this could lower overall costs by around 25% for typical workloads and by as much as 45% for highly agentic applications. Meanwhile, Claude Mythos 5.1 continues to offer the same core intelligence but with more permissive safeguards for approved users handling sensitive scientific and cybersecurity research.

Ultimately, the launch of Claude Fable 5.1 and Mythos 5.1 highlights how frontier AI competition is shifting beyond raw benchmark scores. Anthropic is placing equal emphasis on affordability, long-duration reliability, enterprise governance, and responsible access controls. By combining stronger autonomous capabilities with lower operational costs and specialized deployment options, the company is positioning its latest AI models to better support both mainstream enterprise adoption and highly regulated research environments.

Apple M6 Vs. M5 Chip: What's New In The Next Generation?

Orson Amiri — Fri, 04 Sep 2026 14:06:48 +0000

Apple’s M6 chip represents a major step forward in Apple’s silicon roadmap, moving from the M5’s third-generation 3nm process to a new 2nm architecture. Introduced with the new Mac mini, the M6 comes with a 12-core CPU, 12-core GPU and a Dual 16-core Neural Engine, while the M5 features a 10-core CPU, 10-core GPU and a single 16-core Neural Engine. Apple claims the M6 can deliver up to 1.2x the multithreaded CPU performance of the M5, while its GPU provides nearly 30% more peak AI compute. Memory bandwidth also increases to as much as 170GB/s, although 16GB M6 Mac mini configurations continue to operate at 153GB/s.

The M5 established a stronger foundation for on-device AI by adding Neural Accelerators to its GPU cores, alongside a 16-core Neural Engine and 153GB/s memory bandwidth. The M6 expands this AI-focused approach with additional processing resources and a second 16-core Neural Engine, which Apple says can provide up to twice the peak compute of the previous generation. These improvements could benefit local AI models, image generation, Apple Intelligence and other workloads that depend on dedicated AI hardware. However, Apple’s headline claim of up to 4x faster AI performance compares the M6 Mac mini with an M4 Mac mini, rather than directly with the M5, so the nearly 30% GPU AI improvement and Neural Engine gains provide a more meaningful M6-versus-M5 comparison.

Graphics performance also gets an upgrade, with the M6 moving to a 12-core GPU and bringing improvements to geometry processing, shader architecture, Dynamic Caching and hardware-accelerated ray tracing. These changes could benefit gaming, 3D rendering and creative applications, while increased memory bandwidth can help AI workloads process data more efficiently. A closer look at the Apple M6 Vs. M5 specifications shows that both chips still support up to 32GB of unified memory, meaning the M6 does not automatically allow users to run larger local AI models simply because it has faster processing capabilities. For AI users, compute performance and available memory play different roles: faster hardware can improve processing speed, while memory capacity determines which models can actually fit.

For existing M5 owners, upgrading to the M6 is therefore not an automatic decision. The M6 currently makes the strongest case for users purchasing a new Mac mini for local AI, coding, creative work or demanding workloads, while those coming from M1, M2 or M3 systems could see a more noticeable generational improvement. M5 users may be better off waiting for M6 to arrive in additional Apple devices and for independent benchmarks to demonstrate its real-world advantages. Overall, the M6 is a meaningful technical upgrade, particularly for on-device AI, CPU performance and graphics, but its value ultimately depends on the device and the type of workload.

Everything Happened At World Humanoid Robot Games 2026

Orson Amiri — Thu, 03 Sep 2026 12:11:13 +0000

The World Humanoid Robot Games 2026 transformed Beijing's Ice Ribbon into a massive showcase for humanoid robotics, bringing together 2,056 robots from 666 teams representing 16 countries. Far more than a sporting event, the competition featured athletics, football, table tennis, gymnastics, dance, weightlifting, combat sports, and practical real-world challenges designed to measure how well robots could perform everyday tasks. Compared with the inaugural 2025 edition, the Games demonstrated remarkable growth in both participation and technological capability, highlighting how humanoid robotics is rapidly evolving beyond research labs.

Beyond sporting contests, the Games focused heavily on real-world applications that tested robots in homes, hotels, restaurants, factories, retail stores, libraries, logistics centers, and emergency-response scenarios. Competitors were challenged to make beds, sort books, carry drinks, stock shelves, handle hazardous materials, extinguish fires, tighten screws, connect cables, and complete other precision-based tasks. While robots displayed impressive athletic performance, these practical events revealed that everyday activities requiring perception, dexterity, and decision-making remain far more difficult than running or jumping.

The World Humanoid Robot Games 2026 also witnessed several record-breaking performances. Tiangong Ultra won the 100-meter sprint in just 8.64 seconds, while track-and-field records across the 400m, 1,500m, long jump, and relay events improved dramatically over the previous year. AGIBOT emerged as one of the biggest winners, claiming 46 medals and leading the overall medal standings. However, the Games also featured memorable failures, including crashes into barriers, robots catching fire after collisions, falls during weightlifting and combat events, poor nail-hammering attempts, slow laundry-folding demonstrations, and firefighting robots that struggled to complete emergency scenarios. These incidents highlighted the significant gap between controlled athletic movements and unpredictable real-world environments.

Ultimately, the World Humanoid Robot Games 2026 served as a large-scale public test for embodied AI rather than simply a sports competition. The event showcased how quickly humanoid robots are improving while exposing the technological challenges that still prevent them from performing everyday work reliably. Organizers reinforced this goal by releasing more than 2,500 hours of competition and training data to researchers and confirming that the Games will return in 2027 with an even greater emphasis on real-world applications. The event made one thing clear: although humanoid robots have become faster, stronger, and more capable than ever before, achieving true human-like intelligence and adaptability remains their biggest challenge.

What Is Trump’s U.S. Space Academy?

Orson Amiri — Wed, 02 Sep 2026 07:37:22 +0000

President Donald Trump has officially launched the process of creating the U.S. Space Academy by signing an executive order on August 28, 2026. Instead of establishing the academy immediately, the order forms a NASA-led Presidential Commission that will determine how the institution should operate, including its governance, curriculum, admissions process, and long-term implementation. The proposed academy is intended to prepare future astronauts, engineers, scientists, military personnel, and commercial space professionals for America's expanding role in space.

Designed as a national center for technical education, leadership development, and public service, the academy aims to strengthen the country's future space workforce. The commission will also recommend accreditation standards, graduate service obligations, partnerships with existing educational institutions, and whether the academy should operate within NASA. Despite the announcement, there is currently no confirmed campus location, opening date, admissions schedule, or construction timeline.

The U.S. Space Academy remains in its planning phase, with the White House expected to review location proposals while the commission develops its recommendations. Chaired by NASA Administrator Jared Isaacman, the panel has 120 days to deliver a comprehensive blueprint covering governance, curriculum, implementation, and the selection of a permanent site.

Although many key details are still being finalized, the executive order reflects the administration's ambition to build a long-term talent pipeline for the nation's civil, military, and commercial space sectors. Once the commission submits its report, any approved recommendations could require additional presidential action, congressional legislation, and funding before the academy becomes a reality.