So you’re just using FUD as to deny the reality. Look, we know how the brain, mind, consoiusness work now. we can’t replicate it mechanically yet because whether CPU, GPU, or TPU we are still centrally processing rather than parallel. But Intelligence is just rate of adaptation.
Source date (UTC): 2020-12-13 20:05:43 UTC
Original post: https://twitter.com/i/web/status/1338213532907819010
Reply addressees: @theodore_nit
Replying to: https://twitter.com/i/web/status/1338208707218464769
And if you don’t know both neuroscience and AI, and don’t have a sufficient understanding of the limits of mathematics, the limits of quantum mechanics, then you’re functionally illiterate. I can explain the experience of consiousness to anyone educated in the sciences.
Source date (UTC): 2020-12-13 18:23:14 UTC
Original post: https://twitter.com/i/web/status/1338187739951476740
Replying to: https://twitter.com/i/web/status/1338187735874539528
IN REPLY TO:
Unknown author
These philosophers are increasingly embarrassing. We absolutely positively know how sentience, experience, mind, and consciousness are physically produced in the mind. The insights are recent.
Original post: https://x.com/i/web/status/1338187735874539528
Nature whether the universe, cells, lifeforms, brains, ecologies uses “Generative Adversarial Networks”: Markets that we call ‘competitive evolution’ to discover means of exploiting entropy in increasing niches at increasing scales, including niches created by its own products. https://twitter.com/curtdoolittle/status/1337473691555418113
Source date (UTC): 2020-12-11 19:13:02 UTC
Original post: https://twitter.com/i/web/status/1337475499518529538
https://twitter.com/curtdoolittle/status/1337473691555418113
The Robot dog movies this year have made a better case than the bugs did in Starship Troopers: we are gonna need more firepower for the robot age. This bullpup can fire armor-piercing incendiary ammo from a standing, and even a one-handed position. For sci-fi fans, other than the trusty RPG7 (the best anti-alien weapon of all), this is the only way to be sure. 😉
.50 BMG Armor Piercing Incendiary Rounds ~$3.00 Each.
Product Info & Specs The GM6 ‘Lynx’ is a semi-automatic anti-material rifle. The rifle was designed to be compact, lightweight, accurate, low-recoil, portable and easily deployable for immediate use. Most rifles chambered in .50 BMG are heavy, long, bulky, heavily recoiling and are of a slowly operated bolt action. Many not even magazine fed. Due to the bullpup configuration, most of the weight is re-distributed to the rear of the rifle allowing for the possibility of off hand firing. This is near impossible with most other .50 BMG rifles. Thanks to the unique barrel recoil technology, the rifle’s recoil is less than the other rifles in the same category. This design also allows the rifle to be transported at a length of only 915mm/36.5″. It weighs just 25lbs, with a slight rear bias weight distribution. Assembled with match grade barrels, capable of sub-MOA accuracy with match grade ammunition. Comes with spare magazine, pair of 34mm 50 BMG scope rings, spare barrel spring, bi-pod, cleaning kit, Pelican 1750 hard case and manual. Features: • Durable mil-spec design and construction • Unique barrel recoil technology dissipates most recoil energy • Semi automatic design • Magazine fed for ease of reloading • Bullpup design for compact size and optimum weight distribution • Sub-MOA with match grade ammunition • Barrel capable of retracting for transportation at an overall length of just 36.5″ • Lightweight, just 25 lbs Specifications:
| Caliber | .50 BMG |
| Effective Range | 1500m/1640 Yards |
| Magazine Capacity | 5 |
| Method of Operation | Long Recoil Action |
| Operating Length | 1126mm/44.3″ |
| Transportation Length | 928mm/36.5″ |
| Barrel Length | 730mm/28.7″ |
| Barrel Twist | 1 in 15 |
| Picatinny Rail built-in Elevation | 10.6 mils/36.2 MOA |
| Weight, Empty | 11500g/25.3 lbs |
The Robot dog movies this year have made a better case than the bugs did in Starship Troopers: we are gonna need more firepower for the robot age. This bullpup can fire armor-piercing incendiary ammo from a standing, and even a one-handed position. For sci-fi fans, other than the trusty RPG7 (the best anti-alien weapon of all), this is the only way to be sure. 😉
.50 BMG Armor Piercing Incendiary Rounds ~$3.00 Each.
Product Info & Specs The GM6 ‘Lynx’ is a semi-automatic anti-material rifle. The rifle was designed to be compact, lightweight, accurate, low-recoil, portable and easily deployable for immediate use. Most rifles chambered in .50 BMG are heavy, long, bulky, heavily recoiling and are of a slowly operated bolt action. Many not even magazine fed. Due to the bullpup configuration, most of the weight is re-distributed to the rear of the rifle allowing for the possibility of off hand firing. This is near impossible with most other .50 BMG rifles. Thanks to the unique barrel recoil technology, the rifle’s recoil is less than the other rifles in the same category. This design also allows the rifle to be transported at a length of only 915mm/36.5″. It weighs just 25lbs, with a slight rear bias weight distribution. Assembled with match grade barrels, capable of sub-MOA accuracy with match grade ammunition. Comes with spare magazine, pair of 34mm 50 BMG scope rings, spare barrel spring, bi-pod, cleaning kit, Pelican 1750 hard case and manual. Features: • Durable mil-spec design and construction • Unique barrel recoil technology dissipates most recoil energy • Semi automatic design • Magazine fed for ease of reloading • Bullpup design for compact size and optimum weight distribution • Sub-MOA with match grade ammunition • Barrel capable of retracting for transportation at an overall length of just 36.5″ • Lightweight, just 25 lbs Specifications:
| Caliber | .50 BMG |
| Effective Range | 1500m/1640 Yards |
| Magazine Capacity | 5 |
| Method of Operation | Long Recoil Action |
| Operating Length | 1126mm/44.3″ |
| Transportation Length | 928mm/36.5″ |
| Barrel Length | 730mm/28.7″ |
| Barrel Twist | 1 in 15 |
| Picatinny Rail built-in Elevation | 10.6 mils/36.2 MOA |
| Weight, Empty | 11500g/25.3 lbs |
In simple terms I left AI in the early 80s when we realized it was a hardware problem, then I wrote software in the late 80’s that automated producing legal arguments and documents (really), and then when I worked on economics (incentives) truth it all came together.
Source date (UTC): 2020-12-11 00:34:10 UTC
Original post: https://twitter.com/i/web/status/1337193927720529921
Reply addressees: @EricLiford @DineshDSouza
Replying to: https://twitter.com/i/web/status/1337192567579009026
(Humor)
Watching these new robot invasion videos on my ‘vacation’ makes me want a Barrett 50 cal with armor-piercing incendiary ammunition, and to make sure the national guard armories are stocked with 50 russian RPG’s per citizen. lol
Source date (UTC): 2020-12-06 18:34:01 UTC
Original post: https://twitter.com/i/web/status/1335653738938294273
If you don’t know physics, economics, and natural law jurisprudence, and post 2010 cognitive science (neurology and artificial intelligence) then you are functionally illiterate. There is nothing in education meriting a PhD. it’s a craft learned in six months by the bottom 15%.
Source date (UTC): 2020-12-01 15:48:35 UTC
Original post: https://twitter.com/i/web/status/1333800168542507008
Reply addressees: @DavidOBowles
Replying to: https://twitter.com/i/web/status/1333662368656723968
6. To create a real world model, from which to generalize (General AI) one needs senses and a geometric relation (body) and a geometric world model (manipulation). Forms matter. AI needs a form (base commensurability), and a model to test against.
Source date (UTC): 2020-11-30 19:00:32 UTC
Original post: https://twitter.com/i/web/status/1333486087340224518
Replying to: https://twitter.com/i/web/status/1333486085108797446
IN REPLY TO:
Unknown author
2. This is the article: https://www.sciencemag.org/news/2020/11/game-has-changed-ai-triumphs-solving-protein-structures
3. An AI is only as powerful as it’s ability to act in the real world.
4. It cannot act in the real world without a model of the real world.
5. Current AI has no real world model, and so can’t LEARN w/o massive precompiled data.
Original post: https://x.com/i/web/status/1333486085108797446
2. This is the article: https://www.sciencemag.org/news/2020/11/game-has-changed-ai-triumphs-solving-protein-structures
3. An AI is only as powerful as it’s ability to act in the real world.
4. It cannot act in the real world without a model of the real world.
5. Current AI has no real world model, and so can’t LEARN w/o massive precompiled data.
Source date (UTC): 2020-11-30 19:00:32 UTC
Original post: https://twitter.com/i/web/status/1333486085108797446
Replying to: https://twitter.com/i/web/status/1333486081896050689
IN REPLY TO:
Unknown author
1. I want to use this article on AI solving the protein problem (what I consider closest to physics problem) to illustrate where AI is useful, and why it’s weak: because hard problems are rarely computational. Instead hard problems require a lot of experiments before computation.
Original post: https://x.com/i/web/status/1333486081896050689