The Long Dark was a great game I started playing during early access and really enjoyed. The lonely and desolate wilderness feel really worked well with the the struggle against very simple but brutal natural elements.
The game has been in development longer than some teenagers have even been alive – and has consequently changed a lot over that time. Kudos to Long Dark team for making a time capsule that lets you go back to those early drops by entering a release code in Steam.
While one should ALWAYS be cautious of trainers and save game editors (and there are some on the list that do have viruses (so it’s a good idea to scan them with a virus scanner and only run them in a virtual machine) here’s some of the older trainers for these early drops on GameCopyWorld.
If you’re looking for a unique keyboard, Drop makes some of the most interesting ones. This was kind of unique – it’s a keyboard that has the letters on the edges, not the tops of the keys. This is the CSTM80 mechanical keyboard. It’s pretty chonky on the thickness and not cheap at $149, but could be an interesting addition to your custom setup.
They also make a ton of other keyboards and devices that use keyboards as well as offering the parts so you can build your own custom creation.
By studying real humans completing tasks (such as playing chess or solving a maze), researchers have determined a way to model human behavior. They did this by calculating a peron’s ‘inference budget’. Most humans think for some time, then act. How long they think before acting is called their ‘inference budget’. Researchers found they could measure a person’s individual budget by simply watching how long a person thought about a problem before acting.
“At the end of the day, we saw that the depth of the planning, or how long someone thinks about the problem, is a really good proxy of how humans behave,”
The next step was to run their own model to solve the problem presented to the person. Then, by watching how long the monitored agent took to solve the same problem, they could make very accurate inferences as to when the human stopped planning and know what the person would do next. That value could then be used to predict how that agent would react when solving similar problems.
The researchers tested their approach in three different tasks: inferring navigation goals from previous routes, guessing someone’s communicative intent from their verbal cues, and predicting subsequent moves in human-human chess matches and beat current models.
If we know that a human is about to make a mistake, having seen how they have behaved before, the AI agent could step in and offer a better way to do it. Or the agent could adapt to the weaknesses that its human collaborators have.
In an example from their paper, a person is given different rewards for reaching the blue or orange star. The path to the blue star is always easier than the orange star. As the complexity of the maze grows, the person will start showing bias towards the easier path in some cases. The difference between when they choose the higher reward vs the easier, lower reward can determine a person’s inference budget. When the system determines a problem will be harder than the person’s inference budget allows, the system might offer a hint.
Links:
Research paper: “Modeling Boundedly Rational Agents With Latent Inference Budgets” by Athul Paul Jacob, Abhishek Gupta and Jacob Andreas, ICLR 2024. OpenReview
Conner Slevin, a local resident paralyzed in an accident in 2020, is suing his former attorney Jessica Molligan who he claims made legal arrangements, sent communications, and negotiated settlements without his knowledge. Molligan allegedly made dozens of ADA violation lawsuits in his name against local Portland businesses with the real goal of making herself rich.
In many cases, the property owners said they didn’t know there was an ADA compliance issue until they received a demand letter from the Portland lawyer. The initial letter didn’t specify what needed to be fixed but proposed a settlement agreement. Molligan wouldn’t sue if the owner agreed to make repairs, bring the property into compliance, and pay attorney’s fees of roughly $10,000 or more.
The only problem is that Slevin didn’t know she was doing all this in his name. She’s now being sued by Slevin.
Synthet has a set of fun music/mixing tutorials in which he teaches his various editing and tweaking techniques using the very techniques to do the teaching. They’re really creative and enjoyable. Give one a listen:
Welcome to 6:47 of complete, bonkers industrial music played by the experimental music group Einstürzende Neubauten. Formed in West Berlin in 1980, here they are in 1984 playing on piles of junk in a piece they called ‘Autobahn’. Scraping steel, chainsaws, grinders, and screaming. Just what’s you expect from a 1980’s German punk/industrial/what-the-heck-was-that band.
