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News reporting focused on AI and machine learning, covering the companies behind these technologies, their real-world applications, and the ethical concerns they raise. This includes areas like generative AI (large language models, text-to-image and video), speech tech, and predictive analytics.
One day after Microsoft and OpenAI ended their exclusivity agreement, AWS introduced three new OpenAI services on its Bedrock platform as limited previews. These include GPT-5.4, Codex, and Bedrock Managed Agents. The rollout follows a February partnership between Amazon and OpenAI valued at up to $50 billion, resolving earlier legal tensions with Microsoft.
OpenAI has integrated its separate Codex programming model into GPT-5.5, eliminating the standalone coding line that began with GPT-5.4. Romain Huet, Head of Developer Experience at OpenAI, notes that GPT-5.3 from early February marks the final independent Codex release. The new model shows advances in agentic coding, reduced token use, and higher API costs.
OpenAI released a prompting guide for GPT-5.5, advising developers to avoid reusing prompts from older models like GPT-5.2 or GPT-5.4. The company states that detailed instructions from past versions can hinder the new model's abilities. Instead, users should craft minimal prompts focused on outcomes and follow a seven-part structure starting with role definitions.
OpenAI's GPT-5.5 leads the Artificial Analysis Intelligence Index with 60 points, surpassing Claude Opus 4.7 and Gemini 3.1 Pro Preview. Its API pricing shows a net 20 percent increase over GPT-5.4 due to doubled rates offset by 40 percent fewer tokens. The model achieves top accuracy on fact benchmarks yet hallucinates at an 86 percent rate.
Anthropic launched Claude Opus 4.7, scoring 64.3 percent on SWE-bench Pro, surpassing Opus 4.6's 53.4 percent and OpenAI's GPT-5.4 at 57.7 percent. The model triples image resolution to 2,576 pixels and reduces cybersecurity features during training with new blocks on risky requests. Pricing holds steady per token, but a new tokenizer raises effective costs.