X custom timelines: What users are saying about the new feature
THE SO WHAT
X pushing Grok-powered custom timelines is another step toward AI-curated, topic-specific feeds — the unit of engagement is shifting from accounts to dynamic streams. If your distribution play still optimizes for followers and single main feeds, you’re misaligned with how content will actually be discovered and ranked.
READ THE SOURCE
MORE FROM THE WIRE
Applied AIFlat-rate AI plans are cracking, and Claude Code could be the next victim
Flat-rate AI is collapsing under power-user behavior — Anthropic pulling Claude Code from individual Pro/Max plans is another data point that usage-based economics are non-negotiable. If your product assumes “all-you-can-eat” LLM access, your margin model is wrong and will be repriced by your vendor, not you.
Applied AITrump Admin Accuses China of ‘Industrial-Scale’ Theft of AI Tech. What Does That Even Mean?
Once AI IP is framed as being stolen at “industrial scale,” your model weights and data pipelines are in the same risk category as defense tech. Treat AI R&D as a geopolitical asset — harden access, supply chains, and partnerships accordingly.
Applied AIOpenAI says "GPT-5.5 matches GPT-5.4 per-token latency in real-world serving, while performing at a much higher level of intelligence" (OpenAI)
Latency parity with GPT-5.4 at a “much higher” intelligence level means the constraint shifts from model speed to your product’s UX and verification layer. If you were holding back on deeper automation because of response time, that excuse just expired.
Applied AIOpenAI’s New GPT-5.5 Powers Codex on NVIDIA Infrastructure — and NVIDIA Is Already Putting It to Work
GPT-5.5 powering Codex on NVIDIA’s own infra — and NVIDIA dogfooding it — tightens the loop between model capability, agentic workflows, and GPU demand. If you’re building dev tools, assume the default stack is “OpenAI on NVIDIA” and differentiate on workflow depth, not raw model access.