SaaS & Software·Aug 2, 2026

AI Mania: From Tulips to Tokens

Article URL: Comments URL: Points: 34 # Comments: 24

Hacker News6 min readSingle source
AI Mania: From Tulips to Tokens
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5-point summary · 1 min

Article URL: Comments URL: Points: 34 # Comments: 24

  • Michael Pollan has written about everything from mushrooms to apples and corn, but his coevolutionary story of how tulips and humans shaped each other may have been the most prescient given recent market parallels.
  • Donald Hoffman goes further and puts math behind a worldview where conscious agents are the base layer rather than something matter works its way up to.
  • Sam Altman says we’ve reached the singularity, and while investors raise capital and profit, the rest of us are in amygdala hijack, worried about the next paycheck.
  • Lyla June said at a recent food forests course that humans have the potential to be a keystone and serve the planet rather than dominate it.
  • Crops growing between the panels in Aurora, Oregon Closer to home, I asked Claude Code while writing this whether it would be possible to have a post subtitle with my current website configuration.
July 2026
In this article

Michael Pollan has written about everything from mushrooms to apples and corn, but his coevolutionary story of how tulips and humans shaped each other may have been the most prescient given recent market parallels. GPU compute powering crypto for the last decade has spilled over into a bigger boom in language models. From bulbs, to coins, and now tokens. With animal spirits driving markets higher and CEOs blaming artificial intelligence for layoffs, who is using whom? AI, like the apple and corn plants, is gleefully spreading its seed while we prompt for another sweet hit of dopamine. “Things are in the saddle and ride mankind.” – Ralph Waldo Emerson The reductionist worldview that species are simply carriers of DNA hardly explains the complex relationship between humans and plants, let alone our situation with AI. The term itself has become a meme in the original Dawkins sense and started replicating on its own. We know this self-reinforcing system of models and data is powerful, yet can’t even agree on whether agents are truly intelligent or perhaps conscious. It turns out Claude is not actually a real human. Racknitz's cutaway of the Mechanical Turk, 1789. I haven’t had the pleasure of reading Pollan’s latest book on the topic of consciousness. My unpopular opinion is that AI has not solved “the hard problem” despite its obvious usefulness and the hype. I think Yann LeCun has it right in claiming that animals exhibit learning abilities far beyond machines. Donald Hoffman goes further and puts math behind a worldview where conscious agents are the base layer rather than something matter works its way up to. Sam Altman says we’ve reached the singularity, and while investors raise capital and profit, the rest of us are in amygdala hijack, worried about the next paycheck. If the labs truly believe these systems are waking up, then owning them and renting them out by the token is a question none of them seem eager to face. Full self driving, according to Elon Musk 2014: in less than a year you will go from highway on ramp to highway exit without touching any controls 2016: we are less than two years away from complete autonomy 2019: feature complete this year, and a million robotaxis on the road the next 2026: a quarter to half of the United States by year end A Turing Award and Nobel prize winner predicted in the 1960s that the programming occupation would become extinct, because computers would program themselves. Sixty years on we are still here, though it hasn’t felt that way on the roller coaster of hiring and firing. Grace Hopper was told that machines could only do arithmetic when she proposed writing programs in English, and the chips in every data center now carry her name. Coding was never the bottleneck anyway; relationships and understanding drive value. Tools amplify expertise and we are accountable for impact. One thing that becomes obvious when attempting to analyze this ecosystem is the lack of transparency. Anyone who has worked on neural networks knows how difficult attribution can be, but it turns out the industry is currently exhibiting an almost fractal opacity. We created the content their systems are built on, yet they won’t even share how much energy each query uses, how much water goes to cooling, or who ends up holding the land and the aquifer when a site goes quiet. “All these plants, which I’d always regarded as the objects of my desire, were also, I realized, subjects, acting on me, getting me to do things for them they couldn’t do for themselves.” – Michael Pollan Anecdotally I see agents searching the web not once but 5-10 times because the model is stale, and all that traffic contradicts the SaaSpocalypse hypothesis. Managing them exhausts not only my attention but our limited natural resources. New transmission takes four to eight years and transformers are back ordered, so demand shows up on everyone’s monthly bill and as a hum the neighbors can’t sleep through. Erin Brockovich is mapping the proposed sites and the towns fighting them. Fear of losing to China ends every local objection, which is how the military industrial complex has always worked. While we can do more faster, the quality is debatable, and the externalities aren’t accounted for at any level. 33 operational, 66 under construction, and 8,837 places where people wrote in with concerns. The data center map, July 2026. Lyla June said at a recent food forests course that humans have the potential to be a keystone and serve the planet rather than dominate it. At PNW Climate Week I went on an agrivoltaics tour called Sun, Soil & Sovereignty, where the same acre grows food and generates solar electricity. Data sovereignty could look like that, with compute sited where the panels and the crops are, and the people who live there holding a stake in the land, the water, and the machines. It is becoming a public utility and should be owned like one. That reframes the race with China too, since they most likely made the panels in that field, and a shared atmosphere has no them in it. That would be technology serving a place instead of extracting from it. Crops growing between the panels in Aurora, Oregon Closer to home, I asked Claude Code while writing this whether it would be possible to have a post subtitle with my current website configuration. I wanted to add something punny to avoid sounding pretentious, knowing folks on Reddit and Hacker News would pick this apart. Instead of answering, it ran off, wrote some code, and did the thing. My blog post has a subtitle now! So much for the human in the loop. Frontier labs are an important first flush from this cycle, but they won’t always be around. The shift from AI mania to panic may be sparked organically through market forces, a severe security breach, or an act of legislation. Grasses and fireweed hold the ground after a burn, alder feeds the soil, oak and madrone sprout back into the light. The fiber laid during the dot com boom sat dark for years. Conventions born in the euphoria will survive this great unwind: open weights, models running on your own machine, plain language as an interface, and towns that know they can say no. “Men have become the tools of their tools.” – Henry David Thoreau Pollan used the Thoreau quote above in The Omnivore’s Dilemma, where a farmer named Billy had taken on hauling work to keep the farm afloat after buying a new tractor. He raised the question of who Billy was really working for now. The bank? John Deere? Monsanto? And then there is the corn itself, he adds, which would marvel at the absurdity of it all.

Integrity note  ·  Xela does not rewrite or paraphrase article content. The excerpt above is the source publication's own words, sanitized for display. For the full piece — including any quotes, charts, or images — read it at Hacker News. Xela's rewritten version is off for this story, so there's no editorial angle attached — you're getting the source's reporting unfiltered. When the rewrite is on, we add a What this means block underneath with the operator/trader takeaway.

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Show HN: Draco – A single-binary, self-hostable Firecrawl alternative in Rust
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Show HN: Draco – A single-binary, self-hostable Firecrawl alternative in Rust

Scraping modern websites has become a massive headache. You basically have two choices: pay for an expensive API like Firecrawl/Browserbase, or run a fleet of headless Chrome instances that eat 1GB of RAM per page and still get blocked by Cloudflare. I built Draco to fix this. It’s a fast, single-binary web scraper written in Rust. You point it at a URL, and it spits out perfectly clean Markdown or structured JSON for LLMs. The secret sauce is that it doesn't just boot a browser for every request. It uses a tiered escalation engine: Tier 1 (Stealth Fetch): Draco uses a custom TLS/JA4 fingerprint to perfectly mimic a real browser's network signature at the packet level. It turns out a lot of anti-bot walls will let you right through if your handshake looks correct. In my benchmarks against sites like Cloudflare and Target, Playwright ate ~500MB of RAM and timed out. Draco bypassed them in under a second using just 20MB of RAM. Tier 2 (V8 Isolate): If it hits a React/Next.js SPA that needs rendering, Draco boots an in-process V8 engine in single-digit milliseconds. It hydrates the DOM and intercepts the hidden JSON APIs the page is calling—giving you the raw data without the overhead of a graphical browser. Tier 3 (Real Browser): If it hits an absolute wall, it seamlessly falls back to detecting and driving a real browser on your machine. I also built in all the tooling to make it a complete drop-in replacement for the hosted services: Daemon Mode: Run draco serve and you get a persistent HTTP server with a Firecrawl-compatible REST API. You can swap out your API keys and self-host immediately. Built-in MCP Server: It natively exposes a Model Context Protocol server so you can plug it directly into Claude Desktop or your AI agents. Web Search: Built-in parallel multi-engine web search (bypassing the need for a Google Search API key). Interact Mode: Drive a page statefully like a devtools console, persisting cookies across navigations(for LLM's mainly). It’s completely open source (MIT/Apache-2.0). I just wanted to put this out there for anyone tired of fighting headless Chromium or paying per-page scraping costs. Grab the binary and throw a difficult URL at it. Note that it's still a WIP so there might be some unexpected breakages of uncommon sites but for the most part its quite capable, it can handle cf-protected sites and heavy SPA's while everything else fails partially or completely while taking longer or more resources. (tested on example.com, hackernews, cloudflare, glassdoor, bluff.com, target.com, stake.com and thrill.com) ┏━━━━━━┳━━━━━━━━━━━━━━━━┳━━━━━━━┳━━━━━━┳━━━━━━━━━━┳━━━━━━━━━┓ ┃ Rank ┃ Tool ┃ Score ┃ Pass ┃ Avg Time ┃ Avg RAM ┃ ┡━━━━━━╇━━━━━━━━━━━━━━━━╇━━━━━━━╇━━━━━━╇━━━━━━━━━━╇━━━━━━━━━┩ │ #1 │ Draco │ 769.7 │ 8/8 │ 3.45 │ 216.50 │ │ #2 │ Obscura │ 384.5 │ 4/8 │ 2.68 │ 87.59 │ │ #3 │ BrowserOxide │ 373.4 │ 4/8 │ 6.42 │ 105.95 │ │ #4 │ Playwright │ 342.2 │ 4/8 │ 1.71 │ 535.07 │ │ #5 │ Bouncy │ 196.6 │ 2/8 │ 0.59 │ 19.38 │ └──────┴────────────────┴───────┴──────┴──────────┴─────────┘ Repo: Comments URL: Points: 8 # Comments: 1

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