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    Home»Software Development»This week in AI updates: GPT-5.2, improved Gemini audio models, and more (December 12, 2025)
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    This week in AI updates: GPT-5.2, improved Gemini audio models, and more (December 12, 2025)

    big tee tech hubBy big tee tech hubDecember 12, 2025055 Mins Read
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    This week in AI updates: GPT-5.2, improved Gemini audio models, and more (December 12, 2025)
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    OpenAI announces GPT-5.2

    GPT-5.2 is optimized for professional knowledge work, scoring a 70.9% (using GPT-5.2 Thinking) on knowledge work tasks on the GDPval benchmark, compared to just 38.8% for GPT-5.1 Thinking.

    The company has started rolling out GPT-5.2 in ChatGPT today, with Instant, Thinking, and Pro modes, starting with paid plans. It is also available in the OpenAI API for all developers.

    “Overall, GPT‑5.2 brings significant improvements in general intelligence, long-context understanding, agentic tool-calling, and vision—making it better at executing complex, real-world tasks end-to-end than any previous model,” the company said.

    Google launches improved Gemini audio models

    Gemini 2.5 Flash Native Audio improves the model’s ability to handle complex workflows, navigate user instructions, and hold natural conversations.

    It is now available in Google AI Studio and Vertex AI, as well as being incorporated into Google’s user-facing products like Gemini Live and Search Live.

    The company also announced live speech translation in the Google Translate app, which allows speech to be translated in real-time while preserving speaker intonation, pacing, and pitch. It supports over 70 languages and 2000 language pairs.

    “For two-way conversation, Gemini’s live speech translation handles translation between two languages in real-time, automatically switching the output language based on who is speaking. For example, if you speak English and want to chat with a Hindi speaker, you’ll hear English translations in real-time in your headphones, while your phone broadcasts Hindi when you’re done speaking,” the company explained.

    Google announces beta for Interactions API

    Another update from Google this week was the beta release of the Interactions API, an interface for working with Google’s models and agents like Gemini Deep Research.

    “The Gemini Interactions API represents a major step forward in how we model AI communication. Whether you are building custom agents from scratch using any framework like the ADK or connecting existing agents together via A2A, this is a new set of capabilities to start exploring today,” the company wrote in a blog post.

    Mistral releases Devstral 2

    Devstral 2 is the company’s latest open source coding model, and it is available in two different sizes: Devstral 2 (123B) and Devstral Small 2 (24B).

    The company also released Mistral Vibe CLI, an open-source command-line coding assistant that leverages Devstral. It can explore and modify a developer’s codebase using natural language from the terminal or an IDE. Key features include project-aware context, smart references, multi-file orchestration, persistent history, autocompletion, and customizable themes.

    Linux Foundation forms Agentic AI Foundation to be new home for MCP, goose, and AGENTS.md

    The Linux Foundation today announced that it is forming the Agentic AI Foundation (AAIF) to promote transparent and collaborative evolution of agentic AI.

    Three major projects have been donated to the foundation at launch: Anthropic’s Model Context Protocol (MCP), Block’s goose, and OpenAI’s AGENTS.md.

    “Donating MCP to the Linux Foundation as part of the AAIF ensures it stays open, neutral, and community-driven as it becomes critical infrastructure for AI,” said Mike Krieger, chief product officer at Anthropic. “We remain committed to supporting and advancing MCP, and with the Linux Foundation’s decades of experience stewarding the projects that power the internet, this is just the beginning.”

    Progress adds Agentic UI Generator to latest versions of Telerik and Kendo UI

    Progress Software announced the latest releases of its Telerik and Kendo UI products, which both include an Agentic UI Generator that can create multi-component, fully styled, enterprise-grade page layouts.

    The Agentic UI Generator is currently available for Progress Telerik UI for Blazor, Progress KendoReact, and Progress Kendo UI for Angular.

    “With today’s release, AI-based code generation is now enterprise-ready, providing new horizons for UI development,” said Loren Jarrett, EVP and GM of digital experience at Progress Software. “Instead of simply generating code with AI that requires review and revision, with the Agentic UI Generator, developers can now build production-ready interfaces based on best practices from simply a prompt. This marks an important milestone—not just for Telerik and Kendo UI, but for how modern applications will be built going forward.”

    Wherobots launches RasterFlow to provide foundations needed to apply AI models on satellite image datasets

    Spatial intelligence company Wherobots announced the launch of a private preview of RasterFlow, a satellite image preparation and inference solution that will make it easier to gain insights from that type of data.

    “RasterFlow is a new compute engine that is going to help feed data about the physical world to all sorts of different types of applications, but then also make it so that we can process it and serve other applications as well,” said Ben Pruden, head of go-to-market at Wherobots.

    By streamlining this process, customers will be able to run AI models on physical world data to get answers to physical world questions, such as predicting fields and their boundaries from an overhead view of farmland.

    Augment Code launches Code Review Agent

    As AI coding assistants churn out ever greater amounts of code, the first – and arguably most painful – bottleneck that software teams face is code review. A company called Augment Code, which has developed an AI code assistant, announced a Code Review Agent to relieve that pressure and improve flow in the development life cycle.

    Guy Gur-Ari, Augment Code co-founder and chief scientist, explained that a key differentiator from other code assistants is that the Code Review Agent works at a higher semantic level, making the agent almost a peer to the developer.

    “You can talk to it at a very high level. You almost never have to point it to specific files or classes,” he said in an interview with SD Times. “You can talk about, oh, add a button that looks like this in this page, or explain the lifetime of a request through our system, and it will give you good answers, so you can stay at this level and just get better results out of it.”



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