Hey there,

AI is shifting from experiments to infrastructure across meetings, workflows, and policy. New agent standards, notetakers, malware, and state rules are arriving together.

Will your AI plan capture the gains without compounding risk?

tl;dv

Visit website here »

tl;dv is an AI notetaker that records, transcribes, and summarizes meetings, with timestamps and highlights you can share and revisit.

Best for

• Product and research teams are running lots of interviews

• Global teams needing multilingual transcripts and summaries

How to use it

• Let it auto-record recurring Zoom, Meet, or Teams calls

• Highlight key moments and add tags like “insight” or “objection.”

• Share short clips instead of full meeting recordings

When not to use it
If your company bans third-party bots in meetings, you may need an internal recording approach instead.

Pro tip
Build a research library by tagging clips with themes like onboarding or pricing so insights are reusable across projects.

🏢 Enterprise AI Gains Structure, Meta Bows Out

Linux Foundation launched a standards group for enterprise agents, with AWS, Google, Microsoft, IBM, and Cisco signing on. Meta declined. Reports say it is building a proprietary model, Avocado, aiming for revenue. This sets up a clash between shared specifications and closed stacks, with interoperability and lock-in on the line for tech leaders.

Read the full article here »

Key Takeaways:

• 🧱 Who Joined: AWS, Google, Microsoft, IBM, and Cisco backed a Linux Foundation effort to standardize agent tooling and interoperability for enterprises.

• 💸 Why Meta Balked: Bloomberg reports Meta’s paid model, Avocado, is shifting from open weights to gated APIs to recoup soaring training and infrastructure costs.

• 🧩 Open vs. Open Weights: Analysts argue open weights lack community upkeep, so vendors carry the cost and restrict governance, integrations, and long-term compatibility.

• 🧪 What CIOs Do: Pilot portability. Test agent orchestration across vendors. Track AAIF specs before contracts. Avoid features that only run on one stack.

🔒 How AI is Powering a New Python Malware Wave

Morphisec says dormant GitHub accounts resurfaced with polished tools that hit Trending, then slipped in “maintenance” commits carrying a backdoor called PyStoreRAT. The malware profiles systems, plants, and stealer payloads, and adapts around security tools. The unlock was trusted by trending plus rotating command servers, which makes takedown harder and cross-environment spread more likely for tech teams.

Read the full article here »

Key Takeaways:

• 🪪 Dormant Accounts Revived: Old GitHub profiles returned with slick OSINT tools, DeFi bots, and wrappers, then shipped a hidden backdoor via quiet updates.

• 🧬 Adaptive Evasion: PyStoreRAT detects CrowdStrike and Reason products, switching launch paths to reduce visibility and maintain persistence during hunts.

• 🔁 Rotating C2 Mesh: node{i}-py-store and py-installer nodes rotate, enabling seamless payload updates and resilience against fast takedowns.

• 🧳 Multi-Payload Spread: It profiles hosts, drops modules like the Rhadamanthys stealer, and spreads through removable drives for wider reach.

🩺 State Sets Guardrails for AI in Care Decisions

Colorado set the first state rules for health tech, effective June 30, 2026. Clinics using automated decision tools must add disclosures, document bias checks, and keep human oversight or face action from the attorney general. A federal bill could override state rules, so teams should prepare now and watch D.C.

Read the full article here »

Key Takeaways:

• 📅 Deadline Locked: Rules kick in June 30, 2026. Governance and disclosure are required for tools touching care or administrative workflows in Colorado systems.

• 🧪 Bias Guardrails: Law targets algorithmic discrimination across traits such as race, disability, age, and language. The Colorado attorney general enforces. Document your checks.

• 🗳️ Preemption Watch: A Republican bill would pause state-level model rules for a decade, potentially wiping out Colorado’s framework if passed. Track committee moves.

• 🩻 In-Clinic Upsides: Denver Health reports higher patient satisfaction and less burnout using Nabla’s ambient notes, with patient opt-outs honored by staff.

Rapid Fire Resources

Until next time,