Search Results: LLMDataCollection

A developer's public blog post detailing aggressive blocking of HTTP requests with generic User-Agent headers reveals the escalating battle against LLM training data scrapers. This defensive measure, while aimed at reducing server load from indiscriminate crawlers, risks collateral damage for legitimate tools and scripts. The incident highlights the tension between open web access and the unsustainable burden of mass data harvesting.

A sysadmin's public blog reveals an aggressive new defense against LLM training scrapers: outright blocking HTTP requests with generic User-Agent headers. This drastic measure highlights the unsustainable resource consumption caused by indiscriminate web crawling and forces a reckoning with scraping ethics. The policy demands explicit identification of all non-browser agents, rejecting common culprits like 'Go-http-client/1.1'.