The Courts Stall, Apple Ships, Anthropic Moves and Alibaba Shrinks the Stack.

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Supreme Court ducks the AI authorship question

The U.S. Supreme Court declined to hear the leading case on whether AI-generated art can be copyrighted. That leaves lower court rulings in place that say copyright requires a human author.

The case in summary:

The case stems from computer scientist Stephen Thaler, who tried to register copyright for artwork generated by his AI system, DABUS .

The Copyright Office rejected the application.

Courts backed the “ humans only ” standard, and the Supreme Court has now chosen not to revisit it.

The practical reality is messy. Pure machine-generated work remains uncopyrightable . AI-assisted work still depends on how human contribution is framed and evidenced. This will come back, likely with much bigger players and much higher stakes.

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Apple pushes on-device AI into the mainstream price tier

Apple just announced the iPhone 17e and a refreshed iPad Air, both starting at $599 and positioned to run Apple Intelligence on-device.

The iPhone 17e includes the A19 chip, 256GB base storage, and AI features like Call Screening, Hold Assist, and Live Translation.

The iPad Air moves to the M4 chip with 12GB unified memory, giving more headroom for AI workloads.

Pre-orders begin March 4. Shipping starts March 11.

The message is clear. AI is becoming a default expectation in consumer hardware , not a premium add-on. The question is: will Apple pay for dallying and keepign consumers waiting for on-device AI?

Anthropic wants to make switching AI assistants frictionless

Anthropic just released a tool that lets users port saved preferences and context from other AI providers into Claude using a copy-paste flow.

It pulls items like:

saved instructions

personal preferences

project context

behavioural settings

…from systems like ChatGPT, Gemini, and Copilot, then imports them into Claude’s memory.

Anthropic also expanded memory access to free users, and added stronger persistent memory for Claude Code.

This is the platform war moving up a layer. Model quality matters. But user context is becoming a huge retention lever .

Alibaba’s small models raise the bar for “local AI”

Alibaba just released Qwen3.5 Small, a set of open-source models designed to run on phones and laptops, ranging from 0.8B to 9B parameters.

Alibaba says the 9B model outperforms an OpenAI open model at 120B parameters on certain reasoning and multilingual benchmarks. The series supports text, images, and video, and is licensed for commercial use.

The big change here is not about replacing frontier models. It’s making capable AI cheap, portable and deployable without a cloud bill. That is how adoption spreads.