Claude Enters Healthcare with HIPAA-Ready AI

FEATURED INSIGHT💡

Claude Brings HIPAA-Ready AI to Healthcare Operations

Anthropic is expanding Claude into healthcare with HIPAA-ready products and connectors designed for use by providers and payers. The release supports coverage checks, medical coding, and care operations, areas where teams regularly work across multiple systems and policy sources.

Key additions include connectors for CMS coverage determinations, ICD-10 codes, and the National Provider Identifier registry, along with agent skills for FHIR development and prior authorization review. In practice, this helps teams pull policy, clinical, and administrative information into a single workflow, reducing time spent searching across fragmented systems.

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ON THE HORIZON 🌅

OpenAI Invests in Merge Labs to Advance Brain–Computer Interfaces

OpenAI is participating in the seed round for Merge Labs, a research lab focused on developing new approaches to brain–computer interfaces that combine biology, devices, and AI. Merge’s stated goal is to increase the bandwidth and coverage of BCIs while reducing invasiveness, with early applications aimed at restoring or supporting human capabilities in medical and clinical settings.

Over the longer term, higher-bandwidth interfaces could change how people interact with AI systems by reducing reliance on keyboards, screens, and manual inputs. For AI developers and platform builders, this points toward future systems designed around intent detection, continuous context, and adaptive interaction, rather than discrete commands or sessions.

LATEST IMPORTANT NEWS 📰

AI Takes Over Davos (and the Gloves Come Off)

This year’s World Economic Forum felt less like a policy summit and more like a live AI industry showdown, with Elon Musk, Jensen Huang, Dario Amodei, and Satya Nadella all sharing the stage. The throughline wasn’t just optimism about AI’s potential, but visible tension: executives openly sniping at competitors, debating chip access to China, and signaling concern about whether usage can scale fast enough to justify the massive buildout. Nadella emphasized broad adoption as the antidote to an AI bubble, while Huang pushed for even more investment, framing data centers as engines of future jobs. For the first time, the rivalry, geopolitics, and economics of AI were all colliding in public, in real time.

OpenAI ties revenue growth directly to compute expansion.

CFO Sarah Friar says OpenAI surpassed $20B in annualized revenue in 2025, following rapid increases from $2B in 2023 to $6B in 2024. The company points to compute as the limiting factor: available capacity grew from 0.2 GW to roughly 1.9 GW over the same period, enabling more reliable, higher-volume use across consumer, team, and API products. Friar describes OpenAI’s strategy as aligning pricing with real-world usage, with 2026 focused on moving AI from experimentation into sustained adoption across healthcare, science, and enterprise operations.

Google’s free SAT practice via Gemini

Students can now ask Gemini for a practice SAT test, get a full exam, then receive analysis of strengths, weaknesses, and explanations for missed questions, with content partnered and vetted with education companies like Princeton Review. It’s a big access unlock for students who can’t afford tutoring, but it also raises real questions about dependency, learning habits, and pressure on the traditional tutoring market.

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FOR THE TECHNICALLY INCLINED 🛠️

Qwen3-TTS goes open source with streaming voice, design, and cloning

Qwen has open-sourced Qwen3-TTS, a text-to-speech model family that supports voice design from natural language, instruction-controlled prosody, and rapid voice cloning from short audio samples. The release includes streaming generation with very low latency and multilingual support across ten languages.

By releasing the full models, tokenizer, and tooling, Qwen makes real-time, controllable speech generation available outside closed APIs. For teams building voice interfaces, agents, or interactive systems, this lowers the barrier to running, inspecting, and fine-tuning high-quality TTS in production.

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