Google’s ‘Thought Summaries’ Let Machines Do The Considering For you

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Google’s ‘Thought Summaries’ Let Machines Do The Considering For you

​​Google is giving developers deeper visibility into the model’s reasoning process. Within the Gemini API, “thought summaries” now provide concise, human-readable glimpses into the model’s internal reasoning, generated by a secondary summarization model that trims down the total chain of thought without altering output.

Google for Developers also dropped a brand new video for Gemma 3n, a mobile-optimized model built for on-device use with support for text, audio, and image inputs. It’s now available for early testing via Google AI Studio and AI Edge.

Adding to its technical toolkit, Google quietly launched Lmevalan open-source benchmarking suite for language and multimodal models. Built on the LiteLLM framework, LMEval smooths over the friction of comparing models from providers like OpenAI, Anthropic, Ollama, Hugging Face, and Google itself. It supports a big selection of input types—including code, images, and freeform tex, and features safety checks that flag evasive or dangerous answers. Results are encrypted and locally stored, then visualized via LMEvalboard, a dashboard that provides side-by-side comparisons, radar charts, and granular performance breakdowns. Incremental testing means only recent evaluations are rerun, saving time and compute. The total suite is accessible now on GitHub.

Topping it off, Sundar Pichai framed AI as “greater than the web,” pointing to next-gen interfaces like Android XR smart glasses as early hints of where this all leads. That optimism is echoed in public interest: DeepMind’s site traffic jumped to over 800,000 each day visits following the debut of Veo 3, Google’s high-end video generation model launched at I/O 2025.

Veo 3 has expanded rapidly, launching in 71 additional countries shortly after its debut at I/O 2025. Pro subscribers can experiment with a 10-generation trial on the net, while Ultra subscribers enjoy as much as 125 monthly generations in Flow, a lift from 83, with each day refreshes. Users can access Veo 3 through Gemini’s Video chip or via Flow’s specialized filmmaking environment, depending on subscription level. A demo video titled The Prompt Theory shows 4 continuous minutes of Veo in motion.

Anthropic Powers ‘Claude with Voice’, Bug Fixing and Smart Controls

Anthropic has advanced Claude’s functionality by integrating conversational voice interaction with deep technical improvements and punctiliously designed behavioral controls.

The brand new voice mode, now available on iOS and Android, allows users to interact with their Google Workspace data—Docs, Drive, Calendar, and Gmail—through natural speech, with Claude delivering concise summaries and reading content aloud in distinct voice profiles resembling Buttery, Airy, and Mellow. Though limited to English and mobile apps for now, free users can access real-time web seek for up-to-date responses, while Pro and Max subscribers unlock enhanced Workspace integration and richer search capabilities.

Beyond interface upgrades, Claude Opus 4 showcased a leap in AI-assisted debugging by pinpointing a four-year-old shader bug hidden inside 60,000 lines of C++ code. In only 30 focused prompts, it exposed an ignored architectural flaw that had eluded human engineers and prior AI models, demonstrating a brand new dimension of code evaluation that addresses complex design oversights reasonably than easy errors.

Underpinning these advances, detailed but partly hidden system prompts shape Claude 4’s behavior, suppressing flattery, limiting list use, enforcing strict copyright rules, and guiding the model to offer emotional support without encouraging harmful actions. Independent research into these prompts reveals Anthropic’s intricate balancing act between utility, safety, and transparency, underscoring the corporate’s nuanced behavioral governance on AI outputs while leaving room for broader disclosure.

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