Full Width 
Shortcuts 
Sign Up 
Log In 
Articles 
Reading List More from Project Blog on Christopher Mitchell, Ph.D.
I volunteer at a train, trolley, and subway museum. As a non-authoritative, hobby project combining my love of trains, electronics, mapping, and data, I am building a LiDAR scanner to map and analyze the museum. After designing the initial hardware and software for a GNSS-enabled LiDAR scanner, I built and tested it at the museum.
I volunteer at a train, trolley, and subway museum, including working on restoration of full-sized rail vehicles and maintaining railway infrastructure. As a non-authoritative, hobby project combining my love of trains, electronics, mapping, and data, I am building a LiDAR scanner to create a 3D map of the museum, automatically identify tracks and overhead wire, and compute wire height and track gauge.
With the center console of my train simulator built, I rapidly modeled and fabricated prototypes of the four other panels.
With the center console of my train simulator built, I rapidly modeled and fabricated prototypes of the four other panels.
More in technology
When I created OpenDithering back in June, the feature I was proudest of was the Auto-tune button. It did the slider work for me: it compared the dithered result to the original image, nudged the settings, and repeated until the image stopped improving. Over the summer it grew into a three-step process (Auto Expose, Color-tune, […] The post I deleted my favorite feature, and the image got better: Direct Binary Search (DBS) in OpenDithering appeared first on Style over Substance.
Welcome back to yet another episode of "security was taken seriously". Being who we are (and constantly being exposed to what we see…), we recognize we have been doomed to eternal damnation as we keep on watching security best practices crumble behind “secure by design”
Fellow Automattician Job Thomas, down in Cape Town, South Africa, has a lovely story about using Claude and the Beeper MCP to wrangle all the group chats for his daughter’s sports.
We keep reading scary reports of swarms of AI agents breaking into computer systems and doing other untoward and perhaps illegal things. To what degree do these agents influence each other? And is there anything we can learn from human behavior that would help mitigate these problems? That’s the heady backstory behind [episode 46](https://www.tractionheroes.com/2439976/episodes/19905275-tribal-psychology) of [_Traction Heroes_](https://www.tractionheroes.com/). Harry brought a short reading from David McRaney’s [_How Minds Change_](https://www.amazon.com/How-Minds-Change-Surprising-Persuasion-ebook/dp/B093R2CP2V/) about the impact of our groups on our thinking and behavior. Here’s the key fragment: > the latest evidence coming out of social science is clear. Humans value being good members of their groups much more than they value being right. So much so that as long as the group satisfies those needs, we will choose to be wrong if it keeps us in good standing with our peers. We never lack evidence for this: just tune in to the news. People do stupid things to remain in good standing with their milieu _all the time_. (I know I have!) And apparently, so do AIs. (Although as I pointed out in the show, we mustn’t anthropomorphize technology.) But more importantly, knowing about the perils of tribal psychology can help us be more effective when working in groups — and therefore, to gain traction. [_Traction Heroes episode 46: Tribal Psychology_](https://www.tractionheroes.com/2439976/episodes/19905275-tribal-psychology)
