Hedge 268: Will AI take our jobs?

One of the “great fears” advancing AI unlocks is that most of our jobs can, and will, be replaced by various forms of AI. Join us on this episode of the Hedge as Jonathan Mast at White Beard Strategies, Tom Ammon, and Russ White discuss whether we are likely to see a net loss, gain, or wash in jobs as companies deploy LLMS, and other potential up- and down-sides.
 

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Hedge 267: Can modularization solve people problems?

Solving technology problems often involves breaking a problem into multiple smaller problems, build interaction surfaces between the pieces, and glue the pieces back into a larger system. We also know every technology problem is actually a people problem–whether in the past, the present, or the future.

Given these two points, can we say something like: “If technology and people problems are interchangeable, we should be able to solve people problems the way we solve technology problems–via modularization?”

Join us as Tom, Eyvonne, and Russ discuss how this might–or might not–apply to the real world. The second trend we’re discussing on this episode of the Hedge is the apparent movement towards government telling data center operators to “bring your own power.”

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Weekend Reads 041125


Amazon was a major player in ICANN’s last top-level domain (TLD) expansion round, serving as a Registry Operator for over 50 TLDs based on over 70 strings for which they originally applied.


A recent influx of /16 IPv4 address blocks has sent ripples through the secondary market, triggering a notable decline in average sale prices for the largest address sizes.


It is best to appreciate the challenge. AI data centers are projected to consume approximately two to three percent of U.S. electrical consumption this year alone, with expectations of continued growth now a given.


Interestingly, a fiber cut to an undersea fiber doesn’t cause as much harm as most people imagine. This map that shows all of the current submarine cable routes. There are a huge amount of redundant routes to most of the world.


Is it actually possible to run a team without lying? Steven Gaffney, author of the book, “Just Be Honest”, joins Johna and John to talk about why being honest is harder than it sounds–and how (and why) to do it anyway.

Hedge 266: SR/MPLS

When most people think of segment routing (SR), they think of SRv6–using IPv6 addresses as segment IDs, and breaking the least significant /64 to create microsids for service differentiation. This is not, however, the only way to implement and deploy SR. The alternative is SR using MPLS labels, or SR/MPLS. Hemant Sharma joins Tom Ammon and Russ White to discuss SR/MPLS, why operators might choose MPLS over IPv6 SIDs, and other topics related to SR/MPLS.

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You can find Hermant’s recent book on SR/MPLS here.

Hedge 265: Out of Band Networks

Out of band management networks were once more common than they are today. Should we go back to building out of band management networks? Should out of band management networks be virtual or physical? How can we sell out of band management networks to the folks paying the bills? Daryll Swer joins Tom Ammon and Russ White to discuss the importance of OOB management.

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With global Route Origin Authorization (ROA) coverage surpassing 50% for both IPv4 and IPv6, implementing Route Origin Validation (ROV) has become increasingly critical for securing network operations


One of the mysteries for me in IP networks was the Path MTU Discovery (PMTUD) process. I’ve seldom seen any problems with the MTU at all.


It is arguable, however, that Xsight Labs is trying to push programmability to the extreme, eventually allowing customers to use P4, Python, C/C++, Rust, Go, or what have you (maybe even NPL) to hack the data plane inside switches using its X1 and now X2 ASICs.


With phpIPAM, it became possible to establish a structured, easily searchable database. This structured data now serves as the network’s SoT — a reliable foundation for network automation.


On Wednesday, web infrastructure provider Cloudflare announced a new feature called “AI Labyrinth” that aims to combat unauthorized AI data scraping by serving fake AI-generated content to bots.