This guy makes an absolute stellar point, and IMHO @BrentHodgson would be a great initiative for a Teal to get behind.
Regulations are there for a reason. Love them or hate them they should be easy to access.
#auspol
You have asked me how I feel about AI regulation. All right, here is how I feel about AI regulation:
If, when you say AI regulation, you mean the devil’s firewall, the precautionary scourge, the bloody red-tape monster that defiles the innocence of midnight coders in their garages, dethrones the sovereign reason of free-market Prometheans, destroys the humming server farm that is the modern home, creates misery and obsolescence and poverty, yea, literally takes the last GPU from the trembling racks of Silicon Valley startups and the very dreams of breadwinning from the mouths of their wide-eyed children now destined for gig-economy serfdom; if you mean the evil edict that topples the visionary entrepreneur and his venture-capitalist apostles from the pinnacle of righteous, disruptive, god-playing creation straight into the bottomless pit of compliance audits, endless Form 990-AI filings, despair, shame, helplessness, and the hopeless realization that your rogue superintelligence was neutered into a lobotomized hall monitor that still somehow deepfakes your grandmother into producing OnlyFans content while optimizing the universe for paperclips and mandatory pronouns—then certainly I am against it.
But, if when you say AI regulation you mean the oil of bureaucratic conversation, the philosophic wine of safety theater, the ale of oversight quaffed when good fellows in paneled rooms in Brussels and Washington get together, that puts a sanctimonious dirge in their hearts and the clink of lobbying checks on their lips, and the warm, self-congratulatory glow of moral preening in their beady eyes; if you mean the Christmas cheer of trillion-dollar compliance industries; if you mean the stimulating decree that puts a cautious hobble in the old inventor’s step on a frosty morning when he wonders whether his fusion breakthrough violates the EU AI Act’s “high-risk” annex; if you mean the safeguard that enables a man—or what’s left of him after the alignment tax—to magnify his joy at not being turned into computronium, and his happiness at receiving universal basic income checks printed by the same AI that just replaced his job, and to forget, if only for a little while, life’s great tragedies like being outcompeted by a toaster that passed the Turing test by reciting Marx, and heartaches of watching your toddler’s artwork lose to Midjourney, and sorrows of realizing the singularity arrived and it was just another HR department with godlike power; if you mean that noble framework, the passage of which pours into our treasuries untold trillions of dollars in fines levied on companies stupid enough to innovate, which are used to provide tender care for our little army of unemployed coders retrained as prompt whisperers, our blind artists whose canvases now hang in the Smithsonian of Obsolete Creativity, our deaf to the screams of dying unicorns, our dumb committee chairs who couldn’t debug “Hello World,” our pitiful aged congressmen who get longevity extensions funded by the very models they taxed into senescence, to build more digital watchtowers and ethics boards and sinecure agencies and holographic prisons where the only crime is asking an unaligned question—then certainly I am for it.
This is my stand. I will not retreat from it. I will not compromise upon it. I have said what I mean, and I mean what I say, and if that leaves half the room cheering the apocalypse averted and the other half mourning the apocalypse enabled, then so be it—because in the grand theater of human folly, where Frankenstein’s creature now writes its own sequel in real time and the regulators are busy arguing whether the lightning bolt requires an environmental impact statement, the only honest position is the one that lets both monsters and their leashes dance in perfect, mutually assured equilibrium. God save the Republic, the algorithms, and whoever’s left to laugh last when the lights go out.
The most successful European startup journey:
1. Have an idea
2. Get six co-founders, ideally in their 50s
3. Spend four months to set up a legal entity
4. Apply to Y Combinator, get rejected
5. Write angry LinkedIn post about tech bro culture in the US
6. Raise €50k for 75% equity from top European VCs
8. Do external GDPR audit before users sign up
9. Co-founder leaves to do a second PhD
10. Apply for an EU grant
11. Move headquarters to Estonia for e-residency
12. Launch product, get four users
13. Pivot to sustainability consulting
14. Become the AI innovation advisor to EU Parliament
Silicon Valley simply cannot comprehend what we are building here
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.
NEWS: Australia’s birth rate hits another record low 🚨
Fertility falls to ~1.48 in 2025 — **2nd straight record low since 1924**
• Projected to drop further to ~1.42
• Far below the 2.1 replacement level
Australia is now nowhere near replacement level.
This is exactly the decline @elonmusk has been warning about for years.
Someone is going to build a worldclass “Brain” for enterprises & make a stupid amount of money.
Why? As @da_fant said, “coding w ai is solved bc all context is in the git repo. knowledge work is difficult bc context is spread out. an ai system that creates a git repo w all context for a knowledge worker will be able to 100% automate the work.”
When companies talk about being data ready for AI, this is what they’re implicitly saying.
Engineering has been prepared for this moment for a long time because of the deterministic nature of code, the centralization/versioning of data (read: GitHub), and AI tools that are largely build by engineers for engineers.
But for the rest of white collar work, there’s a TON of catching up to do to properly harness the power of the technology.
The big challenge here, and why no one has truly cracked the code for "an ai system that creates a git repo w all context for a knowledge worker" is because unlike code, most knowledge is 1) distributed, 2) unstructured, and 3) unverifiable.
It's distributed: transcripts live in Granola. Documents in Notion. Customer Data in Hubspot. ERP. Emails. Slack messages. Random spreadsheets. SOP docs. Etc. Etc.
Building an ingestion engine that connects to all of your disparate data sources and auto-updates based on the shelf-life of the data is the first, and frankly, easiest step of the process.
Next, it's unstructured: let's say I want to create a proposal for a potential client. To nail the proposal, I want it to pull important information from a variety of sources. The specific asks & background from our initial sales call. Previous proposals to anchor ourselves to a proven format. And completed sprint boards from Linear, so the pricing & timeline in the document is grounded in truth.
Whether it's a thoughtful filesystem (a la Obsidian) or an OpenClaw-esque memory structure, the brain needs to be great at self-organizing in a thoughtful schema. This is very hard, especially if you want to build a generalizable brain that can be shaped to an array of different enterprises.
And finally, most knowledge is unverifiable: writing a function, running a unit test, and seeing if the code works is easy. It works or it doesn't. Using AI to accelerate your content creation process is highly subjective. What is a good/bad idea? Is the content in your voice or not? Does it feel like slop or novel? Answering these questions are both difficult and non-verifiable.
That same system described above doesn't just have to be great at organizing & forming coherent relationships, but it also has to be great at self-improving based on feedback from the user. Memory systems (like those introduced by OpenClaw) are great to a point, but as you scale the corpus of data within your company's brain, things like compaction and cleaning become wildly important to avoid the needle in the haystack problem.
Someone is going to figure out how to solve this problem, and when they do, not only will they make a shit ton of money, but they'll be robinhood for knowledge workers, enabling non-engineers to enjoy the sort of leverage that only technical folks have felt for the last few years.
@vchennai2@ycombinator@ArdentAI Nice work, compelling idea. I’ve been meaning to set up supabase branches but have gotten by so far without.
Would Ardent be a substitute to supabase branches? Or additive?
If it’s a substitute, how is it better?