OpenAI GPT‑5.1 ships adaptive reasoning – 8 preset styles and 2 models cut prompt boilerplate

GPT‑5.1 is rolling out to ChatGPT, adding a warmer Instant model and a Thinking model that adapts how much it "thinks" per task, improves instruction following, and aims for more natural conversation Rollout note, backed by the official write‑up in the <u>OpenAI post</u>. OpenAI highlights better reasoning and chat quality, with availability beginning this week for paid tiers and expanding after Release summary.

OpenAI says API access lands later this week with model IDs gpt‑5.1‑chat‑latest (Instant) and gpt‑5.1 (Thinking), both with adaptive reasoning API timing, as outlined in the <u>OpenAI blog post</u>. Codex users were told 5.1 support is coming once the API is live Codex note.

OpenAI surfaced eight base styles (Default, Professional, Candid, Quirky, Friendly, Efficient, Nerdy, Cynical) in Personalization, and is A/B‑testing sliders for warmth and emoji frequency Styles list, Warmth experiment. This reduces prompt boilerplate and gives teams a consistent voice without custom system prompts.

OpenAI’s chart shows GPT‑5.1 Thinking using fewer tokens on the 10th–30th percentile tasks and more at the 70th–90th percentile, indicating adaptive "thinking" time rather than fixed CoT depth Thinking chart, also echoed by others sharing the same plot Chart repost.

Screens in ChatGPT show GPT‑4.1 being moved into a "Legacy" section, signaling gradual retirement as GPT‑5.1 rolls out Legacy note. Another view shows the Legacy list visible in the model picker for continuity while migrations proceed Legacy list.

Early tests show GPT‑5.1 obeying stricter style constraints—such as excluding em dashes when told to—suggesting crisper adherence to custom instructions Style compliance. OpenAI also acknowledged these personalization behaviors in replies about the presets and tuning OpenAI reply.

A merged PR in the Codex repo includes a "gpt‑5.1‑codex" test slug, signaling a 5.1‑based coding path coming to Codex Repo commit, with the commit visible in the <u>GitHub PR</u>. A Codex team note also said you’ll be able to use 5.1 in Codex once models hit the API Codex note.

Community posts assert OpenRouter’s "polaris‑alpha" is GPT‑5.1, with screenshots showing it at the top of the Creative Writing v3 Elo leaderboard Mapping claim, Benchmark image. This aligns with broader sentiment that 5.1’s prose is more engaging even before formal evals land.

Field tests show GPT‑5.1 pushing back more on poor suggestions that prior chat models would rubber‑stamp, reducing "agreeableness" failure modes in brainstorming Sycophancy example, with others echoing that 5.1’s appeal is more about steerability than raw IQ Customization focus.

OpenAI is hosting a Reddit AMA to address GPT‑5.1 and the new personalization controls, set for 2 PM PT AMA timing. This is a useful venue to clarify migration timelines, safety routing, and tuning behavior across presets.

Anthropic says it will build its own AI infrastructure in Texas and New York, investing $50 billion and starting to bring sites online in 2026; the company cites thousands of jobs and higher power efficiency for frontier training and inference announcement thread, with full details in the first‑party post Anthropic blog. This is Anthropic’s first move to own DC capacity rather than rely only on partners, which matters for cost control, availability, and safety research velocity.

Microsoft gave an on‑camera tour of Fairwater 2, a new hyperscale AI datacenter design, and said more than 100,000 GB300 GPUs will come online this quarter to serve inference across the fleet feature brief. The segment also covers business model implications, in‑house chips, and power/cooling topology—useful for teams planning capacity, routing inference, and negotiating reserved instances.

Global data‑center spend this year is projected at ~$580B, topping ~$540B for new oil supply, with the IEA expecting DC electricity use to roughly double to ~945 TWh by 2030; supply chains for cables, transformers, turbines, and minerals remain tight techcrunch brief. This adds scale to earlier capex signals $300B outlook and frames why power strategy, heat reuse, and siting now belong on product roadmaps.

A Morgan Stanley note warns the US could be short ~44 GW of power capacity to meet AI data‑center demand by 2028, underscoring grid constraints and siting risk for large clusters power shortfall note, with the underlying report summarized here Yahoo Finance. Some argue model efficiency will improve and blunt demand curves, but planners shouldn’t assume linear gains efficiency comment.