Jake

I recently became a @v0 ambassador! As a kid, I was addicted to this one airplane shooter game and really wanted to play it again. With the free credits, I figured the "free0" challenge was the perfect opportunity. I ended up creating: …ysis-nine-pearl-1hqg65b5g4.vercel.app I had a ton of fun experimenting with v0 and never imagined actually winning anything. It’s clear that an engineer’s responsibility will grow beyond just coding and personally, I’m investing a lot of time into learning UX design. With AI tooling only getting better, the only limitation will be our imagination. I have a few more games to create, but really looking forward to sharing my designs in the future!

@mcuban A shift to optimizing cost could make US-based companies fall behind international ones because they don’t have that burden?

We should federally tax Tokens at the Provider level. Not a lot. Less than 50c per million tokens. It will accomplish 4 things (at least ) 1. It will push the big AI players to optimize tokenization, caching , routing and localization Which will 2. Reduce energy usage. Saving them in energy costs more than what they paid in tax and reducing strain created by the growth in energy consumption Which will 3. Generate maybe 10 billion dollars a year to start, but over the next ten years could grow 30x to 100x Which will 4. Create a source of funding to pay down the federal debt or deploy, in response to the things AI brings that we don’t expect or don’t like At some point the models will pass it on to customers. Of course. That’s ok. Customers will have the ability to choose between providers. Or to do everything using open source models locally. Thoughts ?

@petergyang it's kinda fun. I get to actually talk to other people during the event while my agents work

How do people even do AI hackathons these days you're just sitting around waiting for the agents half of the time?

kinda feels like any healthcare startup with inevitably pivot into revenue cycle management.

@typesfast wendover did a recent vid on it: youtube.com/watch?v=GREaEG…. pretty interesting to listen to but it made me sad as a car buyer. one instance where i hope @Tesla disrupts the industry

TIL there are more car dealerships than car makers in the Fortune 500

@levie why do you think incumbents fail to adapt here with larger budgets?

The need and opportunity for professional services and FDEs to deploy agents right now is massive. Every tech wave offers a new era of consulting and tech services requirements. Moving from analog to digital led to a massive wave in the 90s. Moving from on-prem to cloud did the same in the 2000s. But this is going to be at a scale far greater than the others. The reason is that agents fundamentally change the underlying workflows of an organization. Unlike most prior eras of technology, where it was a change in medium of the service being delivered (on-prem CRM to cloud CRM), agents rewire the business process itself. And unlike upgrading a tech system, business processes are full of idiosyncrasies. Every industry will have its own variants, and every department within those industries will have variants as well. Not to mention the bespoke difference between firms. Bringing agents to marketing in CPG will look different from marketing in healthcare. Bringing agents to sales in a B2B software company will look different from a car dealership. And none of the change is easy technically. You need to first modernize your infrastructure and data and make sure it’s ready for agents; access controls, entitlements, and permissions need to be mapped in a way that works for agents and people; you need to make sure agents have the right context to work with; you need to consistently eval and maintain the agents when there are model upgrades; and you need to drive the change management of the process itself to figure out which parts the people do and what agents do. That’s an insane amount of technical and domain-specific process work to be done to make this all happen. Huge opportunity for new service providers, as well as internally teams and roles to emerge, to help drive this change.

@QuinnyPig that was honestly a beautiful insight. any engineer would appreciate this

"AI code is crap." The shit your human engineers get up to:

Honestly if a cold message sounds like it was written with a modicum of effort + does not feel ai-generated, I'd respond to it

i would recommend any founder to watch silicon valley. it's surprisingly resonates quite a lot

@levie verification of these implementations will be so much more important and I'd argue it's 90% of the work here

Whether it’s existing consulting firms, new ones that emerge, FDEs from agent vendors, or new internal agent engineering roles, the amount of work that is going to be created to implement agents in enterprises will exceed anything we imagine today. The complexity of implementing agents in any existing organizations is very real. When I talk to large enterprises, as you move from a chat paradigm to agents that participate in meaningful workflows, there are a number of things they need to do. First, you have to get agents to be able to talk to your data securely across your systems. In many cases, enterprises have decades of legacy infrastructure that contain the valuable context for AI agents. That’s going to take a ton of work to go modernize and move to systems that work well with agents. Then, you need to ensure that you’ve implemented agents with the right access controls and entitlements, the right scopes to be safely used, and have ways of monitoring, logging, and securing the work that they do. Next, you need to actually document the processes in the organization in a way that agents can utilize for doing the work. You also need to figure out what the new workflow looks like when agents and people are working together on a process, and who steps in where. Just replicating the old workflow will mute the gains. Oh and you likely need to create evals for your top new end-state processes. Finally, you have to keep up with a rapidly changing set of best practices and architectural shifts happening in the agent space. While it’s fun for people to change their personal productivity tools on a dime, it’s 100X harder to do this in a business process. The speed of change is a blessing and a curse right now for anyone trying to keep a stable system design. All of this means that individuals and companies that develop expertise on the above set of components (and more) are going to be needed to help organizations actually implement agents at scale. This is also the rationale for vertical AI agents right now that can go in deep on a business domain and help bring automation to it. This is a huge opportunity right now whether you’re doing this internally or as an external business provider.

I hate reading ai writing. it just feels so dry. similar to code, if we make AI-generated code more human-like, it would be infinitely easier to review.

@sama what about gemini?

you know what all of these "which is better" polls are silly use codex or claude code, whatever works best for you i am grateful we live in a time with such amazing tools, and grateful there is a choice

@aidaniil my body is 70% water, 20% vanilla oat lattes

had 5 coffee chats this morning with potential hires I am tweaking out from all the ice lattes I consumed. Should have grabbed decaf

@ExaAILabs does google not have access to billions of websites on its own servers already?

We're excited to partner with Google to offer Grounding With Exa inside of Gemini models! Using Exa's agent-first search, Gemini models can now access billions of websites, technical docs, papers, people, companies, and more. 10^18🤝10^100

Ngl, sometimes i ensemble different coding agents. if claude doesn't work, I try codex. Feels like we need a better UX for this

@cerebras you are a godsend on inference speed

i love doing coffee chats, but i don't think i can drink any more decaf vanilla oat lattes

@horwitzben gosh is this why i keep getting cold emails with typos

I made the anti-Grammarly. Mess up your emails with AI. Sinceerly.com

@zenorocha wait what is the IRS doing with LLMs??

Last night, I hosted a private dinner for founders and eng leaders of DevTools+AI companies in NYC 🗽 It was so cool to learn what Anthropic, Cursor, Cognition, and even the IRS are doing with LLMs. My favorite conversation was about how SaaS is shrinking while IaaS is exploding. Agents don't need dashboards. They need APIs. Thank you for joining @illyism, @ebadgio_, @adelsteinmanny, @nettofarah, @nikita_builds, @shl, @samseely, @ghodss, @tomasreimers, @zakariaornot, and @zehf

@aaronjmars fool me once...

holy fuck, a hair dryer at a Paris airport broke Polymarket weather markets & made someone $34,000 richer - polymarket was settling Paris temperature bets on a single Météo France sensor sitting near the Charles de Gaulle runway perimeter - basically unguarded - the guy bought the long-shot outcome (like "22°C" when everyone expected 18°C) for pennies, since nobody thought it'd hit - then he walked up to the probe and briefly heated the air around it with a portable heat source, spiking the reading just long enough to register as the daily max - temperature snapped back to normal in minutes, the market resolved in his favor, and he cashed out - twice, on April 6 and April 15, before Météo France caught on and filed charges hyperstitions.

@DanielEdrisian this seems sick!

I've left OpenAI and the Codex team to build Blackstar: A new hardware company building the future of human-computer interaction. We believe that software is solved. Building apps is now easy, but the next meaningful improvement in human-AI communication requires changing the OS & hardware. That's why we're building a new device entirely. I'm also excited to announce our $12m seed round led by @AbstractVC, with participation from @naval, @SVAngel, @chapterone, and Timeless, among other amazing angels who've supported us from the old Alex days.