GPT-4.5 and GPT-5 to be available “soon” for chat and API

OpenAI is gearing as much as release GPT-4.5 and GPT-5, refining AI’s reasoning and inference game across chat and API. In line with COO Brad Lightcap, GPT-5 merges OpenAI’s GPT and o-series models right into a more streamlined, high-efficiency framework. Free users will get full access with no hard limits, while Plus and Pro subscribers secure extra inference time for heavier workloads.

With ChatGPT now pulling in over 400 million weekly users and two million businesses weaving it into their workflows, demand for high-caliber reasoning models has never been higher. API usage has quintupled since o3-mini’s debut, reinforcing OpenAI’s momentum. CEO Sam Altman has teased upcoming agent upgrades and “a number of other things,” hinting at more structural leaps ahead.

Microsoft can also be preparing AI-driven Copilot enhanceme nts in tandem with the rollout, with announcements likely at its Construct conference in May—coinciding with Google I/O. Read more.

Microsoft has introduced Majorana 1, its first quantum computing chip. The chip currently integrates eight qubits but is designed to scale to at least one million qubits—potentially surpassing the combined computational power of all classical computers. Microsoft’s quantum roadmap aligns with industry competitors like Google, which introduced its Willow chip in December as a part of its multi-phase quantum development plan.

Despite progress, quantum computing stays in early stages. Nevertheless, Microsoft is positioning Majorana 1 as a foundation for long-term breakthroughs in fault-tolerant quantum computing. Investors responded modestly, with Microsoft shares rising over 1% to $414.77. Read more.

Google has introduced PaliGemma 2 Mix, an expanded iteration of its PaliGemma 2 vision-language model, designed for a broader range of tasks without requiring fine-tuning. The model supports short and long captioning, optical character recognition (OCR), image query answering, object detection, and segmentation. Available in multiple sizes (3B, 10B, and 28B parameters) and resolutions (224px and 448px), it’s compatible with Hugging Face Transformers, Keras, PyTorch, JAX, and Gemma.cpp.

PaliGemma 2 Mix builds on its predecessor by offering direct usability across tasks. Demonstrations include multiple object detection, OCR in various scripts, and segmentation for complex images. Users can experiment with the model via Hugging Face, Kaggle, and Google Colab, or deploy it on Vertex AI’s Model Garden. While capable out-of-the-box, fine-tuning stays an option for domain-specific applications. Documentation, sample notebooks, and inference tools can be found for developers exploring the model’s capabilities. Read more.