The Technology Agency.

“You get results when your commitment is greater than what you feel.” ~ Pat Summit

Honestly, fuck almonds

Engineers don't write code. PMs are shipping to production. The design process is dead (there's no time). Marketing can ship their own campaigns. SDRs are being replaced by AI. Everyone's a data scientist now. What a time to be alive.

We’re in a period where everything feels like it’s getting jumbled up across roles because AI lets you explore the adjacencies of other functions more easily. We all collectively have to figure out the new form of definition of what these jobs look like in a world of agents, and certainly many will look different from what they did before. But there are some immutable laws that will eventually re-emerge over time and become clear again. As an example, when you’re scaling, product managers should be spending an insane amount of time with customers and getting feedback on the product and thinking through what to do build next, how to design it so it’s usable, and so on. Engineers should be understanding the business objectives, and building systems that scale and are secure, even as feature velocity increases by 10X. Now both can do a bit more of the others role, and this can temporarily get conflated as doing the whole thing, but eventually the work adds up to be enough that it makes sense to specialize again. Similarly, in GTM, the product marketer can certainly generate a working design and video for a launch, but the specialist is always going to (or should) have an eye for quality that delivers a better outcome. My bet is that AI enhances specialization even further, even if a few roles collapse into each other, and the future toolchain and craft of the specialist will be much higher leverage and output far greater than anyone else as a hobbyist in that function.

Forward deployed engineers, or equivalent, are about to become one of the most in-demand jobs in tech. And one of the most important functions for AI rollouts. Deploying agents is far more technical of a task than most people realize, often far more involved than deploying software. Software generally works the same way every time, and generally for the past few decades has been updated versions of an existing technology or concept (which basically means easier for the enterprise to update their workflows on a newer system). With agents, you’re actually deploying the equivalent of work output within the enterprise. The customer is effectively using you as a professional services provider for a task, which they expect to get solved nearly end-to-end now. This means you need to actually deeply understand the business process as a vendor, and get the customer from the current to the end state seamlessly. Companies need help figuring out which models will work best for their workflows, they need extensive evals setup often, they need change management support for workflows, they need to get their data setup for the agents, and constant tuning of the agentic system for their process. Massive role in tech now. And another example of the kind of highly technical work that AI is creating.

Dems Accuse Spencer Pratt Of Not Wanting To Destroy California buff.ly/a04ZuwT

Stripe co-founder John Collison on the two types of people who will thrive in the AI era over the next 10 to 20 years: He identifies two categories of people he's "super bullish on": First: high-agency people. "We know this at Stripe. The people who are like, I've been talking to customers. I know exactly what we should do. We got to go fix this. But the people who have that pep in their step and they want to go make Stripe better." The idea is simple. The people who don't wait around for permission, who figure out what needs doing and go do it, now have leverage they've never had before. AI lets them execute faster without needing to assemble a huge team behind them. Second: double majors. "I think if you understand software and understand finance or if you understand software and understand marketing, you now can go massively improve the entire marketing funnel for your company and one person can do." @collision connects this to a famous Paul Graham observation: "Typically an entrepreneurship team a founding team has a collection of like five or six skills between two founders three founders." He also points to Charlie Munger's case for multidisciplinary thinking, noting it's easier than ever to pick up a functional grasp of new fields: "He thinks getting a functional understanding of many disciplines is not that hard you can just go read the books now you know you can talk to your AI about it and so I think multidisciplinary thinkers are going to do incredibly well." The throughline is the same for both: AI closes the gap between knowing what to do and being able to do it. One person can now move at the pace of a full team, and combine skills that used to require entire departments.

Hey @Tony_BATtista wanna give the audience a quick lesson as to (as Dr.Jim says)”why we do the things we do”

Words to succeed by: “Probably works in dev. Probably breaks in prod.”

@GazzettaFerrari Too many rules. Not enough racing. Cool thing about technology? You can measure stuff you never thought you could measure before. Problem? It becomes just another thing to regulate.

🚨 | BREAKING! Ferrari is known to believe Mercedes is holding back part of its engine's potential in order to keep Ferrari below the 2% threshold and prevent the upgrade system from kicking in. The regulations prevent sandbagging thanks to the FIA's ability to revoke slots at its discretion, and it can also verify values at the factory through simulations on manufacturers' test benches. 📰 @wearetherace | @RosarioGiuliana

@MV33Racing @Shay99087 Nah! Leclerc joining the battle quite nicely, thank you!

Peter Windsor destroys the new F1 regulations: 
🗣️”These regs neutralized the talent of Charles and Max. If you put any one of the greats from the past in these cars, I don't think they'll be able to do anything more than Lindblad or Hadjar." 😳💀 🎥/via @Shay99087

@TheBishF1 Let’s look at the results, and not just at the checkered flag. It’s some terrific racing. There’s a new era. Technology is bringing us a new way of looking at things of winning, and these people are showing us the way to master it.

I’ve been an #F1 fan for 50-plus years, & I’ve been working in it for more than 30. I’m watching the #ChineseGP right now, & I’m enjoying the great on-track action, but I’m not sure I quite understand what’s going on. Do you? Really? #BatteryPower #Megajoules #BoostButton (1/2)

#Daytona500 @NASCAR ONFOX @FOXSports What a MISERABLE viewing experience. Jammed up with ads. Tough to follow the race. Too bad because it’s an interesting race with a ton of action.

The vast majority of AI use in 5 years from now will be on things we don’t even do today. In most areas of work, we actually haven’t reached peak demand. In fact we’re very far from it. We haven’t reached peak demand of getting great healthcare services, coding amazing apps, fixing bugs, building features customers want, protecting companies against risk, delivering better sales experiences, creating relevant ad campaigns, and so on. In all of these areas, and 1,000’s of other economically valuable activities, we only happen to do the level of work that we do because it’s all a company can afford to do. There are endless tasks in a company that they would do 10X more of if they could afford to; and there are endless companies that would love to do certain activities for the first time if they could afford to. AI makes both possible. As a result of this, it also means most of the dire predictions on jobs will be wrong. What will ultimately happen with AI is some companies will use AI to save money and do the same; other companies will use AI to do far more. Over time the companies that use AI to do far more will compete better, and that will eventually change customer expectations until others in the market have to match. We’ll wake up in 5 years from now not quite knowing how we got to where we got, but where everyone just works at a higher level of abstraction than before, but getting more done, moving projects along faster, delivering better customer experiences, and so on.

Tell me this ain’t Hi Tech! Wow!

The U.S. has more rare earth minerals than any nation on Earth—an estimated $12 trillion worth. But thanks to endless permits, lawsuits, and land bans, we depend on China and Russia for critical materials. We don’t have a mineral shortage—we have a leadership shortage.

@DOGE__news .

Trump has been the exact same person for 40 years.

@RuxtonBuxton @PalmerLuckey Sounds like somebody’s Ruxtin’ your Buxton.

@PalmerLuckey Sounds like Aerotyne International. They're a cutting edge high tech firm out of the midwest awaiting imminent patent approval for high power density soft-hydraulic actuators

I hate to use public channels, but this is driving me nuts. There was a company I met with a long while back making high power density soft-hydrualic actuators and the pumps to drive them, they were very impressive. Unfortunately, I have lost track of the name. Who is it?

Hey Silicon Valley, did you hear that??!?!

It’s wild how many AI Agent opportunities there are that are much bigger than their pre-AI markets. The TAM of the code editor market was a few billion dollars in 2020. AI coding agents could be a $50-100B+ market in the next 5-10 years. You can do this for many spaces.