Will Lovis @willlovis

Great list!

SerenaB @RetVet99

3 days ago

Especially energizing to see those building in national security areas where federal demand is surging faster than ever ($$ + urgency): 1. Critical infrastructure 2. Energy production 3. Nuclear 4. Semiconductor manufacturing 5. Critical munitions manufacturing 6. Aircraft

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@Jason @nvidia developer.nvidia.com/nemotron

@ZachWarunek Give them 12hrs, unlimited tokens, and a fully maxed MacBook Pro, and ask them to build something incredible, stable, high performing, and secure that you specify. Encourage them to use all resources available other than phone a friend.

@a16z What used to be manufacturing and supply chain became marketing and advertising.

@a16z Now it is, yes. Razor thin margins and profitability significantly indexed on product placement rebates, advertising, or equivalent. Would be ideal if we can make food about food again.

Jeff Bezos: “People who are right a lot change their mind a lot” “Because of AI, new technologies, and all the dynamism in the world, so many things are changing — and they’re changing rapidly,” Jeff observes. The best solution he’s found for dealing with this rapid change is “thinking long-term” because it forces you to ask yourself, “What are the points of stability?” and “What is not going to change?” He continues: “One of the things that changes very slowly is customer needs. So you can build a strategy around customer needs. That will have durability.” When building Amazon, for example, Jeff built the company around the customer needs of fast delivery, low prices, and vast selection. “The technologies will change. Your competitive set will change. Everything will change, except those customer needs,” Jeff argues. And it’s this idea that is behind Jeff’s core idea of “Be stubborn on the vision, and flexible on the details.” He explains: “You have to be [flexible on the details] because the world is changing and so you change your mind. I’ve noticed that people who are right a lot change their mind a lot. People who are wrong a lot are very stubborn on the details.” Source: @reuters (Oct 2025)

@nyoomtm @WeAreSpaceScout Many structures surprisingly intact despite the close proximity to the explosion. Hopefully reports will indicate no or minor injuries only. Fortunate that everyone is already accounted for - a sign of effective safety protocols.

@pmarca Door #2 for sure.

@rezoundous Personal experience is that 4.7 and 4.8 do come across as smarter in dialog (they are well spoken) but it’s not clear, at least subjectively, they are more productive or correct.

Agree that (subjectively) the model responses seem to be converging as of late.

Vivek Sen @Vivek4real_

2 weeks ago

LARRY ELLISON: AI IS RAPIDLY COMMODITIZING BECAUSE MOST MODELS ARE TRAINED ON THE SAME PUBLIC INTERNET DATA. THE REAL COMPETITIVE EDGE ISN’T THE MODEL ANYMORE — IT’S ACCESS TO EXCLUSIVE, PROPRIETARY DATASETS. THAT MAY BE THE ONLY MOAT LEFT.

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On Memorial Day many Americans experience freedom at its fullest, spending time with family and friends in a backyard with the grill hard at work. On a day like this — when many feel more free than ever — it is perhaps the most important time to reflect: Freedom has come, does come, and always will come at a human cost that we should remember and be grateful for.

@pronounced_kyle Need low cost high endurance ISR assets like @DroneforceIO. 💪 ✈️

@tunguz @tunguz Dealing with buggy and under-supported software is a tremendous use case for AI. My favorite: Arguing with hardware drivers that don’t want to collaborate with whatever version of Linux they were not design to support.

The best engineers I’ve worked with reluctantly became engineering managers due to compensation and social pressure. AI is reducing (or eliminating) that pressure, which will be a welcome change for many engineers. Perhaps this individual’s compensation was reduced, which is understandably disappointing. But the increased substance of work and recognition as an IC will be exciting for many engineering managers. @jain_harshit

@OwenWest91 US drones in 1964: Mach 3, autonomous, 3000mi range, flying at 90,000ft over foreign adversaries. 💪 Agree with @OwenWest91 - admittedly we should have pushed harder recently - but the 62 year old capabilities above indicate the US will be just fine. theaviationist.com/2025/07/23/d-2…

@RealAirPower1 Listening! droneforce.io/government-def…

@elonmusk Wanted: Agentic Grok + Cursor Grok ASAP. @elonmusk

Lead plane marking the drop spot for a DC-10!

@Gundo_OG Agree that mesh networks are commodity items and also surprised to see them at a recent trade show. Mesh modems can be built with $35 parts on Amazon and 3D printed housings. They are very physics limited even if tremendously well engineered.

Elon Musk's first wife once described what it's like to watch him fail. She said he doesn't react the way normal people react. When a rocket explodes, most people in the room go silent. Some cry. Some start calculating the financial damage. Musk pulls out his phone and starts making calls. Not emotional calls. Engineering calls. "What failed. When can we fix it. When's the next launch." His voice doesn't change. His face doesn't change. The rocket that just cost $60 million is already in the past. The next one is all that exists. She said it was the most unsettling thing she'd ever witnessed. Not because he was cold. Because he genuinely wasn't affected. The failure didn't register as failure. It registered as data. An experiment that produced results. Results that inform the next experiment. This is why he wins. Not because he doesn't fail. He fails more spectacularly than anyone in history. He wins because failure occupies zero psychological space. It enters as data and exits as action. Most people lose not because they fail but because they spend weeks processing the failure before acting again. Musk spends zero seconds. The gap between failure and next attempt is a phone call.