> Our browsers avoid blocks 81% of the time on our stealth benchmark, and 84.8% on Halluminate BrowserBench, the highest of any provider.

Seems very unethical, no? Who uses service providers like this? The whole point of anti-bot measures is to get rid of bots - you are not wanted there.

These kinds of services inevitably make the web more human-hostile and expensive. Websites will continue pushing back on automated usage, meaning more hurdles to access content.

No doubt part of why we see this push for verified ID on the web - not just age gating and "protect the children", but also protect sites from bots, and protect ad revenue (not a statement of support; just seems like an obvious higher order effect)

> If this source [0] is true then 65% of audiobooks (in 2022) were non-fiction. Likewise that the audiobook industry has grown by nearly 3x since a2022.

Lead to

> by my math, it's simply that people prefer to listen to self-help books (which matches my own experience).

I'm not sure I see the math there, when most nonfiction is not self-help books (and an increase in the broader genre says nothing about a specific niche)

When we talk about “the market”, the customer base, remember it’s a market that typically doesn’t know how to or care to even install an adblocker.

How do you get to this range? That's quite a spread.

When I last ran the math, my daily usage (efficient and effective productivity, not spamming Gas Town) came to about 0.67 kg of CO2, which is roughly equivalent to my individual emissions from the 1 mile public bus ride home from work.

It reads like using LLMs to fake some credibility

eg: cutting funding to the IRS and advanced science, both of which have long proven positive dividends… or advancing new wars abroad to directly blow up money.

Plus wbillionaires are nothing special. Right time, right place.

Steve Jobs is a perfect example of someone who was in it for the love of the game. He wouldn’t have been any different if his income was taxed at 90%.

The group you’re talking about, 70-95 percentile, are often people that just own a house near a big city or a farm/small business.

It's linking a closed issue, with a fairly incendiary title off of one sentence by a now-deleted Github user.

How did you even find that?

How well does the resulting code perform? What are the trade-offs/limitations/benefits compared to SQLite? What problems does it solve?

Why did you use this process? this mixture of models? Why is this a good setup?

Regulations on micro-targeting, data privacy, algorithm transparency, legal liability for content, etc.. all push back against the externalities of ads/social media.

Regulations on energy and land use can make eg data center build outs more expensive, pressuring back against speculative AI trash.

Taxing big tech companies, subsidizing manufacturing education, and judicious import tariffs.. would all create incentives for investing money and labor in hard capabilities

The trick is it’s priced assuming that discount will be taken off.

I wonder how many of these people were under the influence of alcohol and other substances.