GPT-5.4 launched March 5, 2026 with two major improvements:
Previous mainstream limits were 128k (GPT-4o) and 200k (Claude 3.5). GPT-5.4 pushes to 1 million tokens—approximately:
Enabled by default on API, no extra application needed.
Current version is PostgreSQL 18.3. Queries, indexes, partitions, and JSONB belong in the official docs. Install commands are just the door.
Computer Use lets a model click, type, and read the screen. Anthropic, OpenAI, and Google each shipped a path. Unsourced accuracy tables are not evidence.
Flask 3.1.x remains one of the best choices for teams that want Python’s ergonomics without surrendering architectural control. Its minimal core is a strength, not a shortcut: the boundaries, dependencies, and operational model are chosen instead of inheriting a large framework’s opinions.
That flexibility also means poor habits scale badly. A Flask codebase can stay small, readable, and fast for years—or gradually turn into a pile of global state, implicit coupling, and fragile request handlers.
This note focuses on production-grade Flask 3.1.x practices for teams building maintainable services and web applications.
Flutter saves a second UI codebase; it does not save state-management, rebuild scope, or platform differences. Treat 3.41.6 / Dart 3.11.4 as the baseline: pin the SDK before arguing architecture. Pick an explicit state approach; do not spray setState across the tree.
On 20 February 2026 Google shipped Gemini 3.1 Pro. It is the non-reasoning counterpart to the 13 February Gemini 3 Deep Think release, aimed at practical use rather than a specialized reasoning spike. ARC-AGI-2 and hallucination figures belong to the vendor eval.
