In partnership with

News of the day

1. OpenAI launches ChatGPT Images 2.0, a major upgrade in AI image generation with enhanced realism and creative control. Read more

2. China's AI labs are releasing open-weight models, challenging Silicon Valley's proprietary approach and gaining global developer adoption, especially in the Global South. Read more

3. Unauthorized users accessed Anthropic's restricted AI model, Claude Mythos, raising security concerns. Details on the breach and its implications are emerging. Read more

4. OpenAI releases Euphony, an open-source browser tool to visualize AI chat data and logs, simplifying debugging by converting raw JSON into interactive timelines. Read more

Our take

Hi Dotikers!

Yesterday, we were watching Google scramble together an emergency strike team to catch up with Anthropic on agentic coding, internal memo from Sergey Brin included. Twenty-four hours later, OpenAI opens an entirely different front, and this time it's Google that's going to have to turn around. The fronts keep multiplying, each player trying to stop the other from owning its territory.

ChatGPT Images 2.0 was announced last night, running on the new gpt-image-2 model. The central pitch fits in one sentence: the model reasons before it draws. Concretely, in thinking mode, it searches the web in real time, generates up to eight coherent images from a single prompt with character and object continuity, and double-checks its own outputs before delivering them. The knowledge cutoff has moved up to December 2025, and resolution climbs to 2K via the API. Text rendering, UI, infographics, maps, manga, everything that has been breaking image generators for eighteen months now holds. OpenAI talks about a visual thought partner, the classic marketing phrase that hides a sharper reality: the model is leaving the image generation field to enter the field of enterprise-grade graphic production.

The context gives the launch its real meaning. Nano Banana 2 had owned that exact positioning since February, with thinking mode, dense text rendering and cinematic photorealism. OpenAI arrives eight weeks later with an architecture rebuilt from scratch, native integration into Codex, and a partnership signed with Canva. The counterpunch is engineered to hit exactly where Google had just planted its flag.

The execution is impressive on the available visual benchmarks, typographic precision and multi-image consistency look serious. That said, Nano Banana 2 still holds the edge on raw photorealism and generation speed, and the recent history of generative imaging is one of rapid back-and-forth between the two labs. What we're really getting is the confirmation that 2026 will be played less on the generalist model than on the depth of verticals. Codex for code, Images 2.0 for visual, Rosalind for biology. Sam Altman is learning fast, with only two years of delay on DeepMind.

G.

The IT strategy every team needs for 2026

2026 will redefine IT as a strategic driver of global growth. Automation, AI-driven support, unified platforms, and zero-trust security are becoming standard, especially for distributed teams. This toolkit helps IT and HR leaders assess readiness, define goals, and build a scalable, audit-ready IT strategy for the year ahead. Learn what’s changing and how to prepare.

Meme of the day

Reply

Avatar

or to participate

Keep Reading