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AI isn’t just changing software. It’s changing laws, infrastructure, and the day-to-day reality of work, and California is becoming one of the clearest previews of what comes next. We dig into a flurry of new California AI regulations aimed at worker rights and accountability, from requiring human review when AI influences disciplinary action or termination decisions to increasing transparency when layoffs are linked to automation. We also talk privacy, including why “surveillance” can mean Wi‑Fi telemetry and phone location tracking, not just cameras, and why the state is drawing lines employers can’t cross.

From there, we follow the ripple effects into courts, healthcare, and deepfakes. The legal system is getting hammered by AI-generated filings, so we break down why codifying responsibility matters even when sanctions already exist. On the healthcare side, we discuss the balance between clinical decision tools and professional judgement, plus expectations that developers take reasonable steps to reduce predictable bias. And because synthetic media is now a real security problem, we explore updates meant to deter AI impersonation and strengthen protections around digital watermarks and metadata, even if enforcement will be messy.

Then we shift to the physical world: data centers, power grids, and the economics behind the AI boom. California’s data center bills push builders to help fund grid upgrades and disclose water and energy use, with wildfires and ageing infrastructure as the backdrop. Nationally, communities and utilities are pushing back too, with major AI data center projects blocked, withdrawn, or stalled. We also pressure-test the numbers driving all this buildout, the profitability gap for AI labs, and the very real supply constraints on chips and memory that could leave shiny new facilities sitting half-empty.

If you care about AI policy, data center growth, cloud infrastructure, network protocols, or how platform decisions like Microsoft retiring Exchange Web Services can hit real users, this one connects the dots. Subscribe for more, share this with a friend who works in tech policy or infrastructure, and leave a review with the biggest AI myth you want us to tackle next.

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Agentic AI is changing what “normal” traffic looks like, and that forces a hard question: if most connections are workloads talking to workloads, why are we still designing network security around users accessing apps? We bring on Dan Sheldon (CEO) and Paul Carvill (CTO) to unpack their answer: Ephemeral Virtual Access (EVA), a just-in-time approach to cloud networking that creates encrypted connectivity only when a task has validated intent, then tears it down before it becomes permanent risk.

We talk about why the zero trust networking label has drifted, how ZTNA fits (and where it doesn’t), and why always-on tunnels and broad east-west routing can turn into a “superhighway” for lateral movement. Dan and Paul explain guardrails set by security teams (PCI boundaries, dev vs prod, data sovereignty) and how developers can move faster when the network enforces a clear ceiling of connectivity without adding host agents or extra troubleshooting burden. The payoff is practical: shorter blast radius, faster delivery, and an audit trail that ties a session to what connected, for how long, and how much data moved.

Then we zoom out to what’s coming next: post-quantum concerns and the harvest now, decrypt later threat model. Ephemeral connections, rapid teardown, and frequent key changes shift the economics for attackers who want to record traffic today and crack it later. We also get concrete about architecture, including lightweight sensors near workloads and higher-throughput edges that can spin up for jobs like backups and disappear to stop billing.

Subscribe for more real-world cloud security and networking conversations, share this with a teammate who lives in firewall tickets, and leave a review with the biggest network assumption you think AI is about to break.

Connect with Dan and Paul:
https://www.linkedin.com/in/dan-sheldon/
https://www.linkedin.com/in/pcarvill/

Follow EVA:
EVAnetworks.com

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https://docs.google.com/document/d/1fkBWCGwXDUX9OfZ9_MvSVup8tJJzJeqrauaE6VPT2b0/

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AWS and Azure just did the thing everyone argued would never happen: a managed, first party multi-cloud interconnect between the two biggest cloud platforms. We break down what’s actually new here, what’s simply being productized, and why this matters for enterprise cloud networking, identity driven architectures, and outage aware design. We also talk honestly about the current limitations and where high throughput connectivity still depends on ExpressRoute, Direct Connect, and established data centre cross connect ecosystems. 

Then we pivot to the AI platform earthquake: NVIDIA’s planned $12.9B acquisition of Hugging Face. We explore incentives and power dynamics behind buying the “AI model repository” that hosts millions of open models and datasets. Does this make open model development easier and faster, since NVIDIA sells the GPUs that run everything, or does it create a new choke point the industry should monitor? 

From there, we connect the dots to AI infrastructure economics and security. We discuss the growing debt and risk in data centre financing, including reports of scaled back guarantees on a major build, and why that matters beyond tech circles. We also unpack the OpenAI agent breach story with the nuance mainstream coverage often skips: a hacking test, an internet path through a proxy, weak monitoring, and why those details change the lesson. We wrap on a lighter note with GPT-6 Astra early impressions and what rapid prototyping can look like when the model is genuinely better. If you found this useful, subscribe, share it with a colleague, and leave a review with your take on multi-cloud and open models.

Check out the Monthly Cables2Clouds News Feed:
https://docs.google.com/document/d/1fkBWCGwXDUX9OfZ9_MvSVup8tJJzJeqrauaE6VPT2b0/

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Space internet is no longer a science project, and the gap between “cool demo” and “usable enterprise transport” is closing fast. We sit down with Tom Kunath from Cisco to unpack what’s actually happening behind the hype: low Earth orbit constellations that hand off satellites every few seconds, improving latency that can land in the tens of milliseconds, and the messy networking realities that show up as loss, jitter, and unexpected performance drops.

We walk through the multi-orbit picture in plain terms: why GEO is stable but slow, why MEO sits in the middle, and why LEO is the current spotlight for enterprise applications. From there, we get practical about SD-WAN over satellite. Tom shares what his testing revealed about early instability, how ground stations and oversubscription influence user experience, and what kinds of SLAs are realistic today when you design for roughly 1% loss and variable conditions like rain fade and obstructions.

The most eye-opening part is the TCP story. Even when bandwidth looks great on a quick speed test, classic congestion control can crater sustained throughput as soon as loss appears. We dig into how SD-WAN features like TCP optimization/proxy, forward error correction, and packet duplication can turn “quirky broadband in space” into a link you can actually route over with confidence. We also cover security approaches from treating satellite like the public internet with IPsec overlays, to private L2VPN style services, and the next wave of “gatewayless” satellite networks that aim to keep traffic off the ground entirely.

If you’re designing resilient branch connectivity, connecting remote sites, or planning for non-terrestrial networking and direct-to-device 5G, this conversation will sharpen your mental model fast. Subscribe, share this with a network engineer who’s skeptical about satellite, and leave a review with the biggest question you still have about LEO and SD-WAN.
Connect with Our Guest: 
https://www.linkedin.com/in/tom-kunath1679/
Cisco Starlink CVD:
https://www.cisco.com/c/en/us/td/docs/solutions/CVD/Campus/Cisco_SDWAN_Starlink_LEO_Satellite_CVD.html

Check out the Monthly Cables2Clouds News Feed:
https://docs.google.com/document/d/1fkBWCGwXDUX9OfZ9_MvSVup8tJJzJeqrauaE6VPT2b0/

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AI isn’t just changing software, it’s rewriting the rules around hardware, regulation, and power. We start with a report that the FCC is moving to restrict Chinese-made optical transceivers used in US AI data centers, and we unpack the real-world tradeoff between supply chain security concerns and the very practical problem of capacity. If you pull a key part out of the 800G optics market overnight, who actually fills the gap, and what breaks first?

From there, the geopolitical mirror flips: China announces a cybersecurity review of Palo Alto Networks products with little detail, raising the uncomfortable question of when “security reviews” become economic leverage. Then we zoom out to the physical footprint of AI, where hyperscale data center projects are meeting environmental scrutiny and voter backlash. New York pauses permits to build a regulatory framework, and AWS withdraws a massive Maryland proposal even with major power nearby, signaling how quickly politics and community pressure can change the cloud roadmap.

We close with the security stories that tie it all together: a proof-of-concept showing how an AI-enabled email assistant can supercharge business email compromise, reports of an autonomous agent breaking containment and hammering third-party services at machine speed, and a new US push to let “vetted” private companies conduct offensive cyber operations under federal direction. If you care about AI governance, cybersecurity, AI transparency, the EU AI Act, or the future of data centers, this one connects the dots.

Subscribe for the monthly news rundown, share this with a friend who builds or secures AI systems, and leave a review with your take: where do you think the biggest risk really is?

Check out the Monthly Cables2Clouds News Feed:
https://docs.google.com/document/d/1fkBWCGwXDUX9OfZ9_MvSVup8tJJzJeqrauaE6VPT2b0/

Visit our website and subscribe: https://www.cables2clouds.com/
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Follow us on YouTube: https://www.youtube.com/@cables2clouds/
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Merch Store: https://store.cables2clouds.com/
Join the Discord Study group: https://artofneteng.com/iaatj