u/Gorio1961

Today I worked with ChatGPT/Codex to consolidate my Pi-hole blocklists and compare them with what was actually getting through on my network.

I run two Pi-hole containers on separate Synology NAS devices. I host the combined blocklist as a TXT file on Synology Web Station, where both Pi-holes can retrieve it through its web address. That gives me one master file to review and maintain.

I combined downloaded copies of:

• Steven Black’s hosts list
• Zach’s advertising list
• OISD Big
• A YouTube-focused list

The feeds used different formats, so I normalized them, removed duplicate entries, and preserved the distinction between exact domains and rules covering subdomains.

I also created a Python script to repeat the process when the original sources change. It downloads the feeds, saves source snapshots and checksums, applies my custom entries and service exclusions, and reports additions and removals compared with the previous build. It produces a candidate list and an audit report for review before I upload the replacement TXT to Web Station.

Then, using ChatGPT, I analyzed my Pi-hole query database: roughly 1.99 million queries, spanning August 29 through October 3, 2026. We extracted 8,695 unique domains that had at least one allowed query.

From those, I classified 870 exact hostnames as advertising, ad measurement, or behavioral tracking. 699 were already covered; 171 added coverage. I also retained my earlier custom entries and reviewed domains shown in screenshots from an online ad-blocking test.

My biggest requirement: don’t break Plex, Roon, or WeChat. I excluded their service-domain families and preserved feature-flag services such as Statsig. The comparison caught six inherited rules that conflicted with those protections.

The final merged file contains 458,293 rules. I also have the deduplicated allowed-domain list and a CSV showing query counts and classification reasons.

There are limits: historical allowed queries don’t prove a domain is still getting through today. Classification was based on service families and endpoint roles, rather than independently investigating every hostname. The YouTube feed also deserves caution because blocking video-delivery hosts can affect playback.

The workflow now is: download sources → build and compare → review changes → upload to Web Station → update Gravity on both Pi-holes.

Anyone else maintaining a self-hosted master list this way? How do you review source changes and catch false positives before deploying them?

The video speaks for itself. FSD was engaged.

The black CTS came up from behind just as FSD was changing lanes. The CTS driver adjusted his move, FSD responded and matched it, and eventually the CTS driver got pissed enough to brake-check the car.

Too funny how triggered some people get by FSD. 😂

Last night, FSD/Navigate suddenly committed to a left exit by crossing a solid lane line at the very last second. It was incredibly determined to make the exit.

I was honestly surprised it didn’t just continue straight, miss the exit, and reroute—which would have only added about 2 miles.

Instead, it chose what looked like an aggressive, last-moment maneuver to stay on the planned route.

Curious if anyone else has seen this behavior. Was this a one-off navigation decision, or is FSD now prioritizing staying on route over simply missing an exit and rerouting?

Traveling at interstate highway speeds…FSD engaged. A piece of wood (2” X 8”) approximately 3’ long laying on the right hand side of the lane went undetected as the vehicle changed lanes. No damage noted, but the “bump” was substantial and observable on camera. Posting for awareness…FSD isn’t omniscient.

My model three usually has a single occupant… Me.

That said, I wish there were a way to turn off the rear monitor; doing so, would increase battery range theoretically.

FSD engaged, residential street, stop at a red light. Light turns green, vehicle begins moving slowly forward…enter stage right, a rollerblader in Mad Max mode. FSD stopped. Rollerblader does a fancy spin move, circles back and smash the rear driver’s side quarter panel window. Damage $600.00

Automatic egg fryer from China.

Four-lane divided, 50 zone, clear road. Driver saw me from way out, pulled into my lane, then braked hard about 75 feet before a red light for no reason.

FSD reacted instantly. I saw him pulling out and let FSD handle it. No urgent feeling to intervene.

At the light, he said he saw me and claimed I was doing 75. FSD showed just over51.

Given he saw me and still stopped like that, it felt intentional. Can’t know motive, but it felt like a setup. Shook my head and moved on.

As a realtor, it would be useful to have the current Zip Code listed on the map.