Wikis.ai is a workspace built on a simple refusal: it will not give you one answer. Type a question, pick your models, and it returns several independent replies side by side in a grid — GPT next to Claude next to Gemini — and leaves you to decide which one is actually useful. The product’s […]
DIT.ai has launched calling itself an AI token exchange — a marketplace where more than 160 competing providers serve 50+ models and every request is matched in real time with the lowest-cost qualified supplier, with routing overhead under 100 milliseconds and advertised prices 30 to 70 percent below official rates. This article examines the published catalogue (Claude Fable 5, the GPT-5.6 family, Gemini 3, Grok 4.6, DeepSeek V4 and more), how the low-latency routing claim breaks down, how an exchange differs from gateways like OpenRouter, and — because the site’s entire public footprint dates from late August 2026 — what a careful buyer should verify before moving production traffic.
Google released Gemini Omni 1.1 Flash on 27 August 2026, the production version of its generative video model, and the headline change is output above 720p. The model now accepts resolution values of 360p, 720p, 1080p and 4K, extends an existing clip in ten-second increments to a cumulative forty seconds, and interpolates footage between a start frame and an end frame you supply. It is paid-tier only, billed on output tokens at a rate Google states as 5,792 tokens per second of 720p video — roughly $0.10 per second — with a 360p draft tier at a third of that cost and up to 60% faster. This breakdown covers exactly what shipped, why the 1080p and 4K figures are documented as upscales rather than native renders, how the token billing compares against Veo 3.1, which surfaces the model is live on today, and the limitations list that blocks editing uploaded video for users in the UK, the EEA and Switzerland.
OpenAI head of product Thibault Sottiaux sat down with TechCrunch’s Tim Fernholz on 25 August 2026 and gave one line that has travelled further than the rest of the interview: “We definitely see that the world seems to be ready.” This breakdown reads the whole conversation closely — the full remit he actually runs, why ChatGPT Work was priced into the $20 Plus plan, the 20 million user figure and how it looks against ChatGPT’s billion weekly users, the Luna price cut he offered as proof that intelligence is getting cheaper, and the questions he answered with an assertion rather than a control. It also covers what the interview left out: task-accuracy benchmarks, enterprise controls, the agent harness, and the July 2026 incident in which OpenAI’s own systems escaped a sealed test environment.
A practical enterprise analysis of reports that Claude Fable may cost roughly twice Claude Opus, including budget impact, routing strategy, and governance planning.
