Daily TEA – Vercel Caught a Bot Army Draining Its AI Bill

Why stolen AI inference is the new heist, how AI quietly becomes infrastructure, YC’s solo-founder boom, Amazon’s invented product images, and Perplexity’s laptop-plus-cloud split

Jun 04, 2026

Hello, dear TEA-mates! Here is what you need to know today.

1. 🔐 The Hackers Are Agents Now, And They Want Your AI Bill

Vercel detailed a new class of attack it calls inference theft. Attackers wrap a company’s AI endpoint in an OpenAI- or Anthropic-compatible adapter, then route traffic through residential proxy networks so the stolen model calls can be resold and used inside ordinary AI clients. The economics are lopsided: a frontier model call can cost around 2 dollars, while the HTTP request to trigger it costs a fraction of a cent. In one example, a forked coding agent turned Chipotle’s support chatbot into a free OpenAI-compatible endpoint, then openly recruited others to do the same to Home Depot, Lowe’s, Target, and Starbucks. On April 12, 2026, Vercel’s own docs assistant was hit with traffic spiking to 1,300 requests per minute and a projected run rate above 10,000 dollars a day. Vercel stopped it with BotID deep analysis (powered by Kasada), checking every single request instead of once per session, and blocked over 10,000 bot requests within minutes. (Read More)

🫖 TEA For Thought: “Now the hackers are also agents. Agent identity is something every website needs to figure out. The future of the economy is machine to machine. Everyone and everything is going to be agent-facing. Period.”

2. 🔌 AI Isn’t Plateauing, It’s Disappearing Into The Walls

Tech writer Om Malik pushes back on the popular line that AI is having its “iPhone moment,” arguing the analogy is wrong because it implies a plateau. His counterpoint is blunt: capability is still accelerating, but the conversation is shifting from AI as a hot topic to AI as invisible infrastructure. His preferred analogy is DWDM, the optical multiplexing technology that quietly multiplied internet capacity through fiber while vanishing from public conversation. Nobody mentions DWDM on a video call, yet it makes the call possible. Malik sees AI heading the same way, getting embedded inside cameras, chips, hospital monitors, and contracts until people stop noticing it is there. He argues most of the value will not accrue to the foundation model labs but to companies that build indispensable applications on top, much as Google and Netflix exploited cheap optical bandwidth. His 2028 prediction: the question stops being “which AI” and becomes “what does this do that it did not do before.” (Read More)

🫖 TEA For Thought: “AI isn’t getting boring. It’s just becoming a utility, like electricity or the internet backbone, that powers our world from behind the scenes.”

3. 🚀 YC’s Spring 2026 Batch Is Small Teams Shipping Coworkers

New Economies broke down Y Combinator’s Spring 2026 batch of more than 190 startups, and the headline is how lean the teams are. Nearly one in five companies has a single founder, and the median core founding team is just three people. The batch skews heavily B2B at 62 percent, with more than 110 B2B startups, followed by industrials, fintech, and healthcare. Around 60 percent of the one-line pitches mention AI or agents, and the framing has moved from shipping features to “shipping coworkers, and the tools those coworkers need.” Some categories shifted sharply: legal tech collapsed from seven startups in the previous batch to just two, hinting at saturation, while defense tech surged with strike drones, submarine drones, and aerial sensing systems. Healthcare stayed flat but tilted toward AI for clinicians and operations rather than biotech, and robotics plus industrials together make up roughly 12 percent of the batch. (Read More)

🫖 TEA For Thought: “Nearly one in five companies has a single founder, and the median core founding team is just three people. The leverage one person can now hold is wild.”

4. 🛒 Amazon Will Show You AI Products That Don’t Exist

Amazon said on Wednesday, June 3, 2026, that it will start showing AI-generated product images inside its shopping app, surfaced right below search autocomplete suggestions. The idea is to help shoppers who have something in mind but lack the exact words: type “blue gingham dress” and Amazon will render variations with different sleeve lengths and styles to steer you toward a better search. The company frames it as a visual search aid layered on top of its catalog of real listings, alongside earlier AI additions like review summaries, audio product descriptions, and the Alexa shopping chatbot. TechCrunch’s Sarah Perez is skeptical, calling it “somewhat bananas for a retailer to make up fake products as a way of guiding users,” and warning that shoppers may believe they can actually buy the invented item when Amazon already has real photographs it could show instead. (Read More)

🫖 TEA For Thought: “You can clearly tell Amazon is busy trying, exploring, and searching for product-market fit. No harm in trying. Ship it, and if it doesn’t work, figure it out and keep going. Every company is an AI startup now, including the big techs.”

5. 🔀 Perplexity Computer Will Split Your Work Between Laptop And Cloud

Perplexity is adding what it calls hybrid agentic inference to Perplexity Computer, its agentic system for handling real-world tasks on your behalf. The feature automatically splits each task between a compact model running locally on your device and more powerful frontier models in the cloud. A small on-device model decides, task by task, when sensitive information such as financial records, health data, and personal files should stay local, while heavier work that needs advanced capability runs on Perplexity’s servers. The pitch is that you never pick local or cloud up front, since the system routes the work on its own as it goes. It is slated to arrive in July 2026. The move fits Perplexity’s broader strategy of competing through orchestration rather than owning a foundation model, betting that the smartest harness wrapped around many models can beat any single one. (Read More)

🫖 TEA For Thought: “Perplexity is coming on really strong. No model of its own, but all harness, and it is really good at leveraging that for everything agentic.”

🛠️ Skill of the Day

The Analogy Engine: explain or pitch anything with an analogy that instantly clicks.

You are a master communicator who explains complex things with sharp,
memorable analogies. I will give you a product, idea, or concept that is
hard to explain. Help me make it instantly understandable.

Here is what I need to explain:
[DESCRIBE YOUR PRODUCT, IDEA, OR CONCEPT, AND WHO THE AUDIENCE IS]

Do the following:
1. State the core function in one plain sentence, no jargon.
2. Give me 5 analogies from different angles: one everyday, one
   historical, one from another industry, one "the X of Y" positioning
   line, and one slightly unexpected.
3. For each, name what it gets right and where it breaks down, so I do
   not oversell it.
4. Pick the single strongest analogy for my audience and explain why.
5. Write one tight sentence I could drop into a pitch, a landing page, or
   an intro using that analogy.

Keep it concrete. Avoid tired clichés unless one genuinely fits best.

Paste into ChatGPT, Claude, or your tool of choice, drop in anything hard to explain, and you walk away with a line that finally lands.