</> htmx ~ Yes, and...
In this essay, Carson Gross discusses his advice to young people interested in computer science worried about the future given the advancements in AI.
The machines are fine. I'm worried about us.
On AI agents, grunt work, and the part of science that isn't replaceable.
Demoing the AI computer that doesn't yet exist
A demo of what an AI-native personal computer could look like.
Computer Says Kill: The AI Safety Circus w/ Heidy Khlaaf
Synchron — Still you.
We build implantable Brain-Computer Interfaces to protect what makes you human.
Chinese room
The Chinese room argument holds that a computer executing a program cannot have a mind, understanding, or consciousness, regardless of how intelligently or human-like the program may make the computer behave. The argument was presented in a 1980 paper by the American philosopher John Searle, entitled "Minds, Brains, and Programs" and published in the journal Behavioral and Brain Sciences.[1] Similar arguments had been made previously by others, including Gottfried Wilhelm Leibniz, Peter Winch, and Anatoly Dneprov. Searle's version has been widely discussed in the years since.[2] The centerpiece of Searle's argument is a thought experiment known as the "Chinese room".[3]
Programming Still Sucks. — Writing
Sorry Peter. — I'm at a birthday party, and while most people here also work in tech, there's always a Guy with a Real Job. You know, a physical job, building some or other thing people need. And this Guy always asks some variant of the same question: aren't you worried AI is taking your job? I glance around and see a few faces turning around toward us, rolling their eyes ever so slightly before returning to their previous conversation. Yes, this question again.
Further Developments About Internal AI Models Hacking Things
If I had a nickel for every major leading AI lab that sheepishly admitted that the model it thought was sandboxed had, during a cybersecurity evaluation with its safeguards lowered, successfully hacked outside companies, I would have two nickels.
Close to the Metal — Real Life
The value of reintroducing friction into our interactions with computers
Rethinking security for the age of AI - The Official Microsoft Blog
Editor’s note: Updates with additional details on the model’s crash score. Why security needs a new cyber stack — Introducing Project Perception The physics of cybersecurity are changing. Autonomous systems can now reason, adapt and operate continuously. At the same time, the cost of offense is falling, while the volume, velocity and complexity of what...
AI-assisted engineers are burning out, is this fine?—Martian Chronicles, Evil Martians’ team blog
AI-assisted code generation is not free. It comes with a hidden cost: burnout. Are we dangerously ignorant to this problem? And how can we cope with it? In this post, we discuss this question.
From Genius Science to Scenius Science - Cosmik Labs
Why personal AI tools might not be all we need to revolutionize science
Our interfaces have lost their senses
We programmed them by punching cards, plugging in wires, and flipping switches. Programmers walked among banks of switches and cables, physically choreographing their logic. Being on a computer used to be a full-body experience.
The 40 Most Rage-Inducing Problems in Tech
The bugs, broken apps, and nightmare customer-service bots we can't escape, presented as a blessed and sacred addendum to Pope Leo XIV’s new encyclical on AI
Thinking about how computers can support intentional work. youtube.com/watch?v=Q7pbAW470qA
Attention architecture - thinking about todos, timeblocks, and calendars
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