


OpenAI turns its sold-out GPT-5.5 party into a monthlong Codex giveaway for 8,000 developers
"We had over 8,000 people express interest in just 24 hours, and while we wish our office was big enough to welcome everyone, we weren't able to make space for every person who applied," the company wrote in the email, which VentureBeat obtained. "As a small token of appreciation, we've 10x'ed your Codex rate limits until June 5th on your personal ChatGPT account."

The RAG era is ending for agentic AI — a new compilation-stage knowledge layer is what comes next
The vector database category is undergoing a shift in response to the needs of agentic AI.

The retrieval rebuild: Why hybrid retrieval intent tripled as enterprise RAG programs hit the scale wall
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Definity embeds agents inside Spark pipelines to catch failures before they reach agentic AI systems

RAG precision tuning can quietly cut retrieval accuracy by 40%, putting agentic pipelines at risk

OpenAI launches Privacy Filter, an open source, on-device data sanitization model that removes personal information from enterprise datasets

The modern data stack was built for humans asking questions. Google just rebuilt its for agents taking action.

Adobe’s new Firefly AI Assistant wants to run Photoshop, Premiere, Illustrator and more from one prompt
The announcements, which also include a new Color Mode for Premiere Pro, the addition of Kling 3.0 video models to Firefly's growing roster of third-party AI engines, and Frame.io Drive — a virtual filesystem that lets distributed teams work with cloud-stored media as though it lived on their local machines — represent Adobe's clearest signal yet that it views agentic AI not as a feature upgrade but as a fundamental reshaping of how creative work gets done.

Microsoft launches MAI-Image-2-Efficient, a cheaper and faster AI image model
The new model is priced at $5 per million text input tokens and $19.50 per million image output tokens, a roughly 41% reduction from MAI-Image-2's pricing of $5 and $33, respectively, for those same tiers. Microsoft says the model runs 22% faster than its flagship sibling and achieves 4x greater throughput efficiency per GPU, as measured on NVIDIA H100 hardware at 1024×1024 resolution. The company also claims it outpaces competing hyperscaler models — specifically naming Google's Gemini 3.1 Flash, Gemini 3.1 Flash Image, and Gemini 3 Pro Image — by an average of 40% on p50 latency benchmarks.

Databricks tested a stronger model against its multi-step agent on hybrid queries. The stronger model still lost by 21%.
