Like a church? A synagogue? A mosque? That fits the definition exactly. It seems like a substitute for a house of worship for people who do not believe in God.
Wonderful, a nice meeting place between modern and classical art. Arguably one of the most alluring features of classical art is the complexity and intricacy of detail.
Certainly an important discovery for utilizing these models on scaled hardware. This approach could certainly be applied beyond LLMs to other types of neural networks. That would be an interesting space to explore.
Strangely enough, I work with AI models as a programmer and do not use any AI tools to code. The creation of "cognitive debt" as AI researchers describe it means that crucial components of my code are offloaded into a black box understanding.
"Across groups, NERs, n-gram patterns, and topic ontology showed within-group homogeneity. EEG revealed significant differences in brain connectivity: Brain-only participants exhibited the strongest, most distributed networks; Search Engine users showed moderate engagement; and LLM users displayed the weakest connectivity."
In other words, working with LLMs reduces the level of engagement in our brains and offloads much of our cognitive activity.
When working with models that require a high level of abstraction and optimization, offloading these tasks to LLMs that essentially scrape and combine code from various sources can lead to disaster. For something like a basic CRUD app such factors are not nearly as important.
I can see the future convergence of two clear trends in software: No-code tools and AI tools. The development of AI agents which handle not only the generation of code but the full development cycle of creating, testing, and deploying projects with a limited level of programming knowledge required.
As an additional note:
Both of these software trends aim to automate and replace many responsibilities of the programmer in a commercial sense. I believe that future programmers will need to become familiar with these emerging technologies in order to remain competitive in the job market.
Namely, math skills. Linear regression, multivariable calculus, the sort of math applied by scientists and researchers. If you do not understand the mathematics at the core of neural networks, now is the time to learn.
Absolutely fascinating. Detecting ripples in the fabric of space and time? The NSF is still producing Nobel worthy discoveries.
I've been working on a Deep Convolutional Generative Adverserial Network (DCGAN) which utilizes astronomical data and have been on an astronomy kick.
Cutting funding to pure science research is a profound mistake, pure science research puts our nation at the forefront of technological discovery and is of national strategic importance.
Something interesting about the American Revolutionary War is that the popular force raised from the population were not only able to overcome the most powerful international military force at the time, they were able to demonstrate significant martial superiority in battle.
For example, at Lexington and Concord, the outset of the war, the Loyalists suffered 73 combat deaths while the Revolutionaries suffered 49.
At Saratoga, the turning point of the war, the British suffered 440 combat deaths while the Revolutionaries suffered only 90.
At Yorktown, again, ~200 combat deaths for the Loyalists against 88 combat deaths for the Revolutionaries.
This demonstrates something unique to this conflict. Typically, in unconventional wars of this nature, insurgent forces suffer proportionally higher losses than occupying forces. This was not the case in the American Revolutionary War.
I believe that a number of factors contributed to this. For one, mass mobilization due to overwhelming popular support. Lexington and Concord began with only 77 Revolutionaries and escalated to nearly 4,000. It was the escalation of conflict that attracted insurgents from far and wide who were eager for action and an opportunity to join the revolutionary effort. Literally anyone with a rifle, even fowling pieces for bird hunting, could join in and fight the clearly, visually marked occupying forces.
Secondly, a familiarity with the surrounding terrain which provided ample foliage and an advantageous landscape. Namely, forested hills and mountains. As for the swampy terrain mentioned in the article, Brigadier General Francis Marion AKA "the swamp fox" as written here was able to use it to his advantage to conduct guerrilla style operations in the Southern theater.
Thirdly, the pre-war efforts of Friedrich Wilhelm von Steuben were instrumental in his service to Washington of transforming what was once a ragged band and physically unprepared mass of men into an organized and confident fighting force. These men were strenously trained to a high standard, they were not like Mao's men who were simply handed a rifle (sometimes even a sword) and thrown into battle. They were trained to fight like professionals and carry themselves with confidence in combat.
The American Revolutiory War provides insight into a unique sort of war where it is demonstrated that a popular force raised from everyday people has the potential to not only defeat the most powerful professional military force in the world but to do so with demonstrable martial superiority.
This requires a respect for the sacredness of human life and a recognition of the horribleness of war and conflict. To minimize losses and to minimize the time in which the conflict is resolved.
Nuclear weapons can be repurposed for nuclear energy. Maybe, just maybe, one beautiful day we will live in a world where there are no nuclear weapons nor need for them. These weapons cannot be used ethically, they poison the soil, air, and water.
A quote from Sun Tzu is etched in stone at the Minuteman Missile National Historic Site just outside the Pine Ridge Native American Reservation:
"Someday, an ultimate class of warriors will evolve, too strong to be contested. They will win battles without having to fight, so that at last, the day may be won without shedding a single drop of blood."
Especially when you consider that similar studies conclude that caffeine has an overall positive effect on brain function when consumed at 200mg per sitting and 400mg per day.
100mg being equivalent to one cup of coffee or two cups of tea. I personally prefer tea as it is milder and the lower caffeine content means I can drink it all day.
Love it, made me smile. The "warmth" of all this old tech is nostalgic, all the little human touches lost to history. The little bits of heart and soul that shaped the details of our lives, some nameless engineer on some forgotten afternoon implementing the little blue waves in the rain clouds. Something strangely bittersweet about it.
I loved tinkering with Flash as a kid in the early 2000s. I taught myself programming through ActionScript and wrote a little physics engine that modeled 2D physics using loops, conditionals, basic trig, and increments.
It's definitely outdated at this point by HTML5 and WebGL, but I will always fondly remember all those little flash games and experimenting with ActionScript, learning programming fundamentals.
I would highly recommend tinkering with the HTML5 Canvas element and WebGL if you were a fan of Flash. The web browser has evolved into an OS of sorts as personal computers have evolved along with the introduction of mobile devices.
Web browsers now handle email clients, word processors, photo editors, even video and code editors. Check out this neat fluid simulator experiment in WebGL, you can build even more advanced applications of this nature with this technology.