Transportation Secretary Sean Duffy announced plans to cut repeated paperwork and allow online applications while keeping safety standards in place. The changes support a U.S. goal of 1,000 commercial launches a year by 2030. For SpaceX, this could mean less paperwork, easier approvals and more frequent launches.
This will be Tank's 3rd elevated mesh style bed and by far the cheapest looking. It was practically free so i figured why not. It is for sure his favorite type of bed. I thought he would destroy this one fast but so far it is holding up. Later i put a bunk mattress on top of it to help increase it's lifespan.
Fukushima’s spent-fuel pools held hundreds of tons of fuel containing uranium and plutonium. Explosions destroyed Units 1, 3 & 4, dispersing fuel-related material, NRC reporting fuel ejected up to 1 mile away. A massive radiological hazard.
Reactor 1 explosion https://www.youtube.com/watch?v=psAuFr8Xeqs
Reactor 3 explosion https://www.youtube.com/watch?v=haUawwm7l4k
Reactor 4 explosion https://www.youtube.com/watch?v=P8_Q0-xPWik
For the Units 1, 3 and 4 spent-fuel pools affected by the blasts, there were 2,137 spent-fuel assemblies, containing roughly 130,000–158,000 fuel rods. At approximately 20–30 g of plutonium per spent-fuel rod, that represents roughly 2.6–4.7 metric tons of plutonium, along with hundreds of tons of uranium fuel. Exact quantities vary with fuel design and burnup.
Sources: IAEA spent-fuel inventory; Union of Concerned Scientists fuel-assembly/rod data; U.S. government reference on plutonium content in spent LWR fuel.
IAEA Fukushima Technical Volume 5
UCS — Fuel Amounts at Fukushima
U.S. government spent-fuel reference
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152 sailors and Marines joined the Fukushima radiation-exposure litigation, it began with 8 USS Ronald Reagan sailors. The Reagan encountered the radioactive plume about 100 miles offshore from Fukushima Daiichi
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Unpopular opinion,
Fukushima made Chernobyl look like a cup of spilled hot cocoa.
Disasters of this magnitude travel the globe as did Chernobyl. What reporting refused to tell us is exactly how much more fuel was involved in the blasts. Specifically the fuel stored in pools above the reactors.
Cancer is spiking, they know why. Ocean Fish, bottom feeders, all extremely high risk to consume.
Apollo Astronauts wore electromechanical device on the head like a helmet, containing cosmic-ray-sensitive nuclear emulsion plates surrounding the eyes/head.
Cosmic = Energy from outside our solar system.
They experience it as flashes of light, perhaps some of these flashes have intelligence behind them and perhaps 16mm film can capture glimpses of this Cosmic energy.
Images 2-5 show an object that appears behind Dale in a single video frame during the 1984 Dale Gardner EVA (STS-51-A)
Image 2-3 AI Enhanced
Image 4-5 Original No Enhancement
Source
John Stoll currently a Supervisor for NASA and JSC Multimedia and Communications at NASA and Rothe Development, Inc. https://rocketreach.co/john-stoll-email_2569898
Uploaded the digital transfers here https://archive.org/details/BestOfSTS-51A16mmTransfers
Super honored to review a survivalist 20,000mah emergency Radio/Flashlight/Powerstation/Bluetooth Speaker Solar charger with hand crank.
Hand crank combined with solar, very cool.
1-2 Motor Breath ShMediums
3-4 Static Charge
5-6 Stoney Sour
I normally drive a hour to Goldflower to buy their organically grown strains. Eden is about 1/2 hour away from me but they also deliver for free for orders over 100$.
Eden is one of the only other growers that use organic growing methods like living soil. I am trying a bit of everything just to see what they are about. The prices are a bit high without that 40% discount.
I have seen mixed reviews but i have a good feeling i will be happy with my order.
Granted the torch is more of a toy than anything. The 20v Vacuum cleaner though is just awesome. At first i used a regular Dewalt 20v max battery and the suction i would say was below average. Then i used my Dewalt 20v XR battery and that doubled the suction. The XR battery is advertised to produce 50% more power and i believe it.
If i did not have an XR battery i would probably have called this vacuum junk. Some folks don't know they can vastly improve 20v powered tools by buying one of the 150$ batteries. I have two Dewalt XR batteries and they are worth every penny.
https://www.youtube.com/watch?v=B65mFXwqJYA
It is not Anti Gravity but it does produce enough propulsion to overcome Earths Gravity and can run indefinitely. "Anti Gravity" never meant free energy. Propellentless propulsion means free energy.
Energy goes in and stays where you put it as a static charge. The design and voltages generate the propulsive effect. This technology would extend Satellite service life by many many years. It would revolutionize the space industry over night if Space companies decided to invest into the technology.
Garmin Nuvi 360 sold with "Lifetime Free Map updates", until Garmin changes their mind that is.
So i built a standalone Python/SQLite map-building system for a Garmin nüvi 360, which is basically 20-year-old hardware at this point.
What started out as just trying to get better maps working on it turned into a much bigger project than I expected.
The biggest part was the address system. The original Florida OSM data had about 2.07 million addresses. The final Florida search database now has 11,213,312 searchable addresses, so about 9.15 million more than the original, or around 5.4x the coverage.
I did not just generate house numbers from road ranges. I built a Python/SQLite pipeline that pulls together OSM, official Florida address data, county/E911 GIS data, parcel data, TIGER data and road geometry, then deduplicates and validates the results before compiling them for Garmin.
Those 11.2 million addresses are in their own 225-tile search layer, separate from the routing map.
I also ended up completely changing how the regional map is put together. Instead of one big Garmin build where routing, search, terrain and display data are all mixed together, I split everything into separate modules.
The routing side is 64 tiles and is frozen against an exact NOD payload of 180,541,877 bytes. That gives me a known-good routing baseline, so I can change search or display behavior without worrying that I accidentally changed the routing graph.
One of the more interesting problems was street labels.
The road names were already in the map, but the old nüvi firmware would not automatically display a lot of normal street names.
The workaround I ended up with was creating an invisible Garmin 0x1f companion line over the real road. It only contains LBL/RGN/TRE and has no NET or NOD, so it cannot affect routing.
Then I use a custom TYP file to make the line itself transparent. The strange part is that the nüvi still renders the street name attached to it.
So the actual road does the routing, and a separate invisible object handles the label.
I also added different label zoom levels by road class so the screen does not turn into a mess when zoomed out.
The current toolchain is basically:
Python 3, SQLite, Java 21, mkgmap r4924, splitter r654, GMapTool, custom Garmin styles and TYP files
The standalone program handles the database work, tile generation, compilation, validation, integrity checks, logging, and resume/recovery.
At this point it is a lot more than just a custom map. It has turned into a small build system and search engine built specifically around the limitations of old Garmin firmware.
Disclaimer: AI may have been used to create this meme
DO NOT THROW THESE AWAY, these things are straight up gold. Garmin tries to lie to us and say modern maps cant function on it. That just means they no longer want to code it to work for older units.
I rebuilt modern Florida address search for an 18-year-old Garmin nüvi 360
I’ve been working on a pretty ridiculous project: taking a Garmin nüvi 360 from the mid-2000s and seeing how far its old address-search system can be pushed with modern GIS data.
The roads and routing on these old units still work fine with modern Garmin-compatible maps. The real weakness was address search.
My previous Florida image had about 7.67 million searchable addresses, but it was still missing a lot of legitimate addresses. Instead of continuing to patch them one at a time, I rebuilt the entire Florida search database from scratch.
The new master combines data from:
The hard part wasn’t just collecting addresses. It was figuring out which records were actually legitimate, deduplicating millions of overlapping records, preserving directional street names, recovering coordinates for incomplete records, and keeping garbage data like concatenated house numbers out of the Garmin index.
For the hardest unresolved cases, I ended up using Google Earth as an independent geocoder.
The local GIS data would say an address exists and where it should roughly be. Google Earth would geocode the original address independently. If Google landed near the authoritative county/E911 location, it became strong confirmation.
One Google Earth validation campaign checked 19,065 county/E911 candidates and 18,839 passed.
That process also uncovered something interesting: after a few thousand bulk geocodes, Google Earth suddenly started returning 0,0 coordinates and its normal search stopped connecting. Switching to a VPN immediately restored it, so it looked very much like temporary IP/session throttling. I ended up building batch-management scripts to track missing IDs, 0,0 failures, duplicate results, and incomplete runs so bad batches couldn’t silently contaminate the database.
Even after Google validation, I didn’t just dump everything into the map.
A final locality and deduplication pass found that 5,549 apparently new records were actually already present once missing city/ZIP information was recovered. Another 22 collapsed into duplicates. Only 5,737 truly new addresses survived that last stage.
The final Florida master now contains:
11,213,312 searchable address identities
Compared with the previous 7,669,207-address map, that is:
+3,544,105 addresses
about 46% more search coverage
The final database also passed these checks:
Then came the fun part: making 11.2 million addresses work on a Garmin from 2006.
Each address was converted into a tiny synthetic Garmin-search road structure. The generated overlay contained:
11,213,312 address nodes
22,426,624 road-stub nodes
33,639,936 total OSM nodes
11,213,312 synthetic search ways
That was split into 225 Garmin IMG search tiles using splitter and compiled with mkgmap.
Those 225 search tiles were then combined with the same 93 proven Florida routing tiles from the older build.
Final map:
318 numbered Garmin maps
949,993,472-byte gmapsupp.img
about 0.885 GiB
So despite increasing searchable address coverage by about 46%, the final image is still under 1 GB.
I also automated the final binary audit with GMapTool. The completed image passed with:
One subtle issue that mattered a lot was preserving directional road names. A route with a north/south/east/west designation cannot just be normalized down to the bare route number, or Garmin address search can return the wrong road or fail entirely.
The end result is basically a modern statewide Florida address database transplanted into a legacy Garmin search format, while keeping the old routing engine and road map intact.
What started as “why are so many addresses missing from this Garmin?” turned into a project involving GIS data engineering, SQLite, spatial indexing, address normalization, TIGER interpolation, county GIS harvesting, geocoding validation, large-scale deduplication, Garmin map compilation, and binary-level validation.
And somehow the nüvi 360 is still perfectly happy with it. Powered by AI/Python
The final stage i am working on is making a permanent automated updater that uses the same update path i took but completely automates the process. Detects if the current map needs an update and updates automatically.
This unit came with lifetime map updates that Garmin stopped honoring. Considering the only thing wrong with these units are just lack of map updates. This standalone updater should prove extremely useful.
Also i was able to prove that storage IS NOT the limiting factor when updating maps for these units. I could double the map size and the unit would still read that map and function normally.
I purchased my unit brand new many years ago with lifetime map updates. Garmin claims that their modern maps simply wont work on it. That is actually a lie because they could easily support maps for this older unit. It is just a matter of coding, not storage space.
I love the unit so much i attempted to use Openstreetmaps to update the maps, The main problem i ran into is address indexing errors for the unit. Using advanced coding AI i am able to diagnose all the addresses in conflict. I cross referenced the addresses listed with State databases. After that i was able to reconstruct the addresses that were not being indexed properly.
I also fixed it's trouble with abbreviations, like S vs South. I currently only did it for the state i live in because it takes a massive amount of analysis and coding. The point of this post is to say yes, Old garmin units can be updated and be made to work in every way you would expect. Garmin just chooses not to honor their agreement sadly.
Images 1-2 AI enhanced
Image 3 Original
Personally the image strikes me as something photographed in the vacuum of space. It explains the soft illumination from below and from the side. Floors don't light from below.
This was the image in a full-page Amoco Performance Products advertisement placed in aerospace publications May 29 1989, including Aviation Week & Space Technology and apparently NASA Tech Briefs. The accompanying side advertised THORNEL advanced carbon-fiber composites for aircraft, spacecraft, radiators, heat sinks and low-observable technology.
Its headline was: “Technology so advanced it will help answer some big questions.” page 46 https://ntrs.nasa.gov/api/citations/20110004241/downloads/20110004241.pdf
Archived-ad discussion and transcription
Amoco representatives were reported to have said that the photographed figure was a ten-inch physical model or bust, professionally lit, not a drawing.
However, I cannot find a solid original record naming the sculptor, photographer or advertising agency. That missing production history helped fuel speculation, especially after Bill Cooper drew attention to the image. Bill Cooper claimed to track down the photographer and obtained the negatives on which you could see hairs on the neck. Bill said the photographer refused to describe what he photographed.