Nick Lippis

AI isn’t stuck at the model. It’s stuck getting into production. That’s where most enterprises are right now. We’re digging into what’s actually working at the AI Networking Summit Frisco | Dallas May 13–14. Last day to save $300 is tomorrow. 🔗 hubs.li/Q04dWrSl0

Networks have been treated as a transport layer. That doesn’t hold up in an AI-driven environment. Agentic Networking shifts to systems that observe, decide, and act in real time. Join the conversation May 13–14 in Frisco | Dallas. 👉 hubs.li/Q04dN2xf0

right on

We’re deploying agents faster than we’re building the infrastructure to support them. In many cases, IT doesn’t have full visibility into where they’re running. That’s not just a scaling problem. It’s a control problem. 🎧 Catch the full episode here: hubs.li/Q04dCsyG0

@nahuelhilal @Tesla Get one of the last model S’s either a 2026 or 2024-2025 and make sure it has AI4. Just post the VIN in Grok and ask. Much more comfortable for those long rides.

Yesterday I drove my @tesla 900 miles on FSD from Miami to Nashville and I realized it’s genuinely the better option. I fly that route 2 to 3 times a month. Flights are never under $400. Most times $600. Sometimes $800. Add Uber to and from both airports, or parking garage fees. Then factor in the delays, the cancellations, the security theater, the chaos, the guy next to you who hasn’t met deodorant yet. On the other hand: I pack healthy snacks, press one button, and the car just goes. I took calls. Replied to emails. FaceTimed my family. Ate without pulling over. Did everything I normally do on a travel day, except none of the stuff that makes travel days miserable. My biggest concern going in was range and charging. Here’s what actually happened: My bladder needed one extra stop the car didn’t even suggest. Most charging stops were under five minutes. Total cost for the whole trip was less than just the uber to the airport. And this was the base model Y. Now I’m thinking I should get something comfier and just make this the default.

Hybrid AI infrastructure sounds straightforward. It isn’t. Balancing public and private models means constant tradeoffs across cost, control, performance, and security. We’ll be digging into this at the AI Networking Summit. Join the conversation May 13–14 in Frisco | Dallas. 👉 hubs.li/Q04dqsgt0

This is the location of the AI Networking Summit in NYC this fall. It’s called the Penn Business District. It’s big just like the fall summit. wsj.com/opinion/trump-…

We surveyed enterprise leaders managing large-scale infrastructure. The takeaway is clear. AI experimentation is moving fast. Scaling is not. Infrastructure is not keeping pace, and in many cases, the network is the constraint. 🎧 Listen to the full episode here: hubs.li/Q04dcvTJ0

AI Networking Summit in Frisco/Dallas is looking like a blowout on May 13-14. Check out the program here onug.net/ai-networking-… pls don't delay to register, we will be at capacity.

AI in production starts here. At the AI Networking Summit, leaders from @eBay, @Cisco, @Broadcom, and @FedEx share how they’re building, securing, and scaling AI in real environments. Join the conversation May 13–14 in Frisco | Dallas. 👉 hubs.li/Q04c-Lpd0

I’ve driven three model S’s since 2012 and I can relate to this story ⁦@elonmusk⁩ . I don’t mind that ⁦@teslamotorscar⁩ stop producing the model S or X, what I do mind is canceling the transfer of FSD and leaving those with AI3 no path. wsj.com/business/autos…

The “box” is starting to matter less. AI infrastructure is becoming more composable, more distributed, and less tied to fixed systems. Even ideas like memory in the network are starting to take shape. I got into this on Built for Trust with Tom Gillis & Nick Kucharewski from @Cisco. 🎧 Full episode here: hubs.ly/Q04cLK9_0

We talk a lot about automation and AIOps. Not enough about the data behind it. If the data is fragmented, the outcomes will be too. Pete Crocker breaks down what needs to change in this ONUG blog 👇 hubs.li/Q04cB0Rw0

You can’t design a network today for what AI will need two years from now. That’s why programmability in networking silicon matters. In this episode of Built for Trust, I talked through this with Tom Gillis and Nick Kucharewski from @Cisco. 🎧 Listen here: hubs.li/Q04cpZlf0

@elonmusk @teslaownersSV @TaiwanSemi_TSC @Samsung WTF, I have a '21 Plaid, been waiting for AI5 to trade in, now you tell us that it's not going into vehicles? I find this out two weeks after the March 31, FSD trade in expires too?

@teslaownersSV @TaiwanSemi_TSC @Samsung Optimus and our supercomputer clusters. AI4 is enough to achieve much better than human safety for FSD.

Congrats to the @Tesla_AI chip design team on taping out AI5! AI6, Dojo3 & other exciting chips in work.

just got out of a staff meeting on the AI networking summit in Frisco/Dallas on May 13-14. This meeting is tracking to be 2x of last year. See you there. onug.net/ai-networking-…

Not a good day for the fish

Agentic AI isn’t limited by models. It’s limited by control. New papers from ONUG’s Agentic AI Overlay Working Group outline what it takes to scale. The takeaway: you need an independent control layer. Learn more 👇 hubs.li/Q04b-p3B0

more like get ready for patchmageddon. AI tools like Anthropic’s Mythos are rapidly uncovering software bugs, raising fears of a global cybersecurity bugmageddon wsj.com/tech/ai/ai-is-…

AI at the edge is not just a networking problem. It’s a systems problem. IT, OT, edge, cloud, devices all need to work together in real time. I spoke with Allwyn Sequeira about what this looks like on Built for Trust. 🎧 Full episode here: hubs.li/Q04bDTb70