🍏Apple prepares 3 AI wearables built around visual Siri

Mark Gurman reports that Apple is accelerating work on three wearable devices centered on Siri with visual context.

🔸 The first is smart glasses, code-named N50, positioned as a rival to Ray-Ban Meta. They would include two cameras, one for photos and video, another for computer vision similar to Vision Pro. There is no display. Interaction runs through speakers, microphones, and Siri. Production is targeted for December, with a potential 2027 release.

🔸 The second is a pendant device, roughly AirTag-sized, worn as a clip or necklace. It includes a camera and microphone and relies on the iPhone for processing. Unlike Humane AI Pin, it would function as an iPhone accessory rather than a standalone product. The project remains early stage and could launch in 2027.

🔸 The third is AirPods with a low-resolution camera designed to provide visual context for AI. Rumors have circulated since 2024, with a possible release this year.

At a recent internal meeting, Tim Cook said Apple is working on new product categories enabled by AI.

Apple’s next hardware cycle may revolve around giving Siri eyes.


📊 @tech

🤖 Chinese robots go from simple dances to flips in 1 year

A new video shows how far Chinese humanoid robots have progressed over the past year.

In early 2025, most demos focused on basic dance routines and controlled movements.

Now, the same class of robots is performing jump flips and more dynamic maneuvers.


📊 @tech

🖌 Claude Code can now generate full designs directly in Figma

Claude Code is now integrated with Figma, allowing it to generate complete, editable designs inside Figma.

The reverse flow already existed through Figma MCP, turning designs into code. This update completes the loop. Code written in the IDE can be translated into structured Figma layers, adjusted visually, then pushed back into code.

Development no longer has to follow a strict idea → design → code sequence. A product can start in code, move into design for review, then return to code with changes applied.

It turns coding agents into design-aware collaborators.


📊 @tech

🎵 Google launches Lyria 3 with music generation from text, images, and video

Google introduced Lyria 3, a new music generation model. It creates tracks up to 30 seconds long and is already available in the Gemini app and on desktop, with a wider rollout coming soon.

Lyria 3 is multimodal. Users can generate music from a text prompt, or upload a photo or video and get a track that matches the mood and context of that content.

Google says every composition includes an invisible watermark. Distribution gets easier. Attribution becomes part of the product.

📊 @tech

🚕 Waymo robotaxis stop running in heavy rain and snow

Waymo robotaxis rely on LiDAR for perception. In heavy rain, snow, or dust, the sensor struggles due to reflection and scattering.

As a result, the vehicles are taken offline during strong precipitation.

Autonomous driving still has weather limits.

📊 @tech

🗺Market Map shows how crowded the AI agent stack has become

A new market map lays out today’s AI agent landscape. Around LLMs, entire layers have formed.

Engines, environments, agent frameworks, memory, code review. The stack keeps expanding beyond the model itself.


📊 @tech

💡 Microsoft builds glass data storage with 10,000-year lifespan

Microsoft developed a glass-based data storage system using laser-written 3D pixels inside transparent glass. The company says it is the first to offer a full end-to-end system for writing, storing, and reading this format.

Data is written with a femtosecond laser that alters the glass structure through ultra-short pulses. The changes do not damage the material and can only be detected optically. Reading requires a microscope, while convolutional neural networks help reduce errors caused by noisy light signals.

Tests suggest the medium can preserve data for up to 10,000 years, compared to 40–50 years for typical storage without maintenance. Density reaches about 4.8 TB on a ~12 cm² disk.

Storage consumes virtually no energy once written.

📊 @tech

🔍 Chrome adds built-in Split View for two tabs in one window

Google rolled out Split View in Chrome. Users can now place two tabs side by side inside a single window, without extensions.

The feature is aimed at people who switch between tabs constantly. Teachers use it to review assignments. Developers keep documentation visible while coding. Some take notes while watching YouTube.

It simplifies basic multitasking inside the browser.


📊 @tech

🤖 Anthropic launches Claude Code Security and upgrades Desktop

Anthropic released Claude Code Security, an agent that scans full repositories and finds complex context-level vulnerabilities.

It uncovered 500+ issues in production open source projects, some decades old.

The agent reasons across the codebase instead of relying on fixed SAST rules.

Claude Code Desktop now runs Server Previews, fixes console errors, reviews before push, monitors PRs, and supports auto-merge.


📊 @tech

⚠️ Amazon engineers followed AI advice and disrupted AWS for 13 hours

In December, Amazon’s AI assistant Kiro suggested deleting and recreating an environment. Engineers approved the action. Something went wrong, and AWS services experienced disruptions for 13 hours.

Amazon says the incident was caused by human error. The engineer who granted Kiro permission had overly broad access rights.

The company introduced additional staff training and tightened security controls.

📊 @tech

📱 Phones in the 2000s

💻 @programmer

🤖 ChatGPT code references $100 Pro Lite subscription tier

Mentions of a new “Pro Lite” plan priced at $100 per month were found in ChatGPT’s code. No details about features or limits have been disclosed.

The pricing suggests a mid tier between the $20 Plus plan and the $200 Pro plan.

It appears aimed at users who need more than Plus but do not require the full Pro package.


📊 @tech

📊 Only ~2.5M people use AI for coding out of 8.1B

A viral chart maps global AI usage. Each dot equals about 3.2M people.

🔸 ~6.8B have never used AI
🔸 ~1.3B use free chatbots
🔸 ~15–25M pay $20 per month
🔸 ~2.5M use AI for coding

The group using AI to write code is a rounding error at global scale.

If you are already building with it, you are operating in a very small cohort.

📊 @tech