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Steal the Playbook

Good morning, AI enthusiasts!

Today’s issue ranges from Microsoft’s big leap in automated research to Tencent’s art-quality 3D generator, a headline-grabbing talent raid at Apple, and even Wimbledon’s line-calling controversy. Dive in for the details behind each story and what they mean for builders, businesses and users.

1. Microsoft rolls out Deep Research for Azure AI Foundry Agents

Microsoft has opened a limited public preview of Deep Research, an API- and SDK-based service that lets developers embed OpenAI’s agentic research model (“o3-deep-research”) directly into apps and workflows. The agent:

• clarifies user intent, grounds results with Bing Search, and produces fully cited, auditable reports;

• can be chained with Logic Apps or Azure Functions to trigger follow-on tasks;

• is priced at $10 / 1 M input tokens and $40 / 1 M output tokens, with cached rates for repeats.

The company positions it as a building block for market analysis, compliance reporting and other knowledge-intensive jobs where provenance matters.

2. Tencent unveils Hunyuan3D-PolyGen for “art-grade” 3D assets

Shenzhen-based Tencent claims its new Hunyuan3D-PolyGen model boosts 3D-asset creation productivity by 70 %. Powered by Tencent’s BPT technology, the model generates high-polygon, high-precision geometry that already feeds multiple game-development pipelines. The launch underscores China’s push to close the generative-AI gap in creative tooling and offers artists a path to detailed meshes without painstaking manual wiring.

3. Meta snags Apple’s AI foundations chief Ruoming Pang

Bloomberg sources say Ruoming Pang, the senior manager who headed Apple’s foundation-model team, is jumping to Meta’s new Superintelligence Labs on a multimillion-dollar package. The hire follows Meta’s recent re-org under incoming chief AI officer Alexandr Wang and its investment in Scale AI. Apple and Meta declined comment, but the move highlights the escalating talent bidding war among Big Tech AI groups.

4. Wimbledon’s AI line-calling draws fire from players

This year Wimbledon fully replaced human line judges with an electronic line-calling (ELC) system—only for stars Emma Raducanu and Jack Draper to denounce missed calls. One match had to be replayed after the system switched off mid-rally; another was sped up over fears the AI would fail in fading light. Organizers apologised, calling one glitch “human error,” but critics say the episode proves humans still need to share the chair with AI.

5. IBM’s Power11 chips target hassle-free AI inference

IBM has refreshed its Power line for the first time since 2020 with Power11 CPUs and tightly coupled servers:

• zero planned-downtime updates and ~30 s average unplanned downtime;

• ransomware detection in under a minute;

• inference-focused integration with IBM’s Spyre AI accelerator later this year.

Shipping July 25, the systems aim to give enterprises a secure, always-on alternative to Nvidia-centric AI racks without chasing training workloads.

6. ChatGPT quietly tests a “Study Together” mode

Some ChatGPT subscribers spotted a new tool that flips the script: instead of answering, the bot asks questions to guide learners and may even support multi-user study groups. OpenAI hasn’t announced rollout or pricing, but insiders see the feature as an answer to Google’s LearnLM initiative—and a way to encourage tutoring over “cheating” with generative AI.

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Stay tuned for more updates, and have a fantastic day!

Cheers,
Zephyr