tag > Robot
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AI rivals average human competitive coder?
A journalist asked me to comment on the story "DeepMind AI rivals average human competitive coder". My comments ended up in the CNBC story "Machines are getting better at writing their own code. But human-level is ‘light years away’". Here are my comments in full length:
Every good computer programmer knows, that it is essentially impossible to create "perfect code" and that all programs are flawed and will eventually fail in unforeseeable ways, due to Hacks, Bugs or Complexity. Hence, computer programming in most critical contexts is fundamentally about building "fail safe" systems that are "accountable". In a 1979 presentation, IBM made the statement: "A computer can never be held accountable. Therefore a computer must never make a management decision". Besides all the recent hype around "AI Coder outperforming humans", the question of the accountability of code remains largely ignored. Has anything changed since IBM made that statement? Do we really want hyper-complex, in-transparent, non-introspectable, so called "autonomous" systems that are essentially incomprehensibly to most and unaccountable to all, to run our critical infrastructure, such as the finance system, food supply chain, Nuclear power plants, weapon systems or space ships?
#ML #Augmentation #Complexity #InfoSec #Robot #Systems #Comment
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Drinking from the Fetid Well: Data Poisoning and Machine Learning - By Lieutenant Andrew Galle
As robotics and artificial intelligence continue to become increasingly capable and autonomous from constant human control and input, the need for human life to occupy the field of battle continuously diminishes. One technology that enables this reality is machine learning, which would allow a device to react to its environment, and the infinite permutations of variables therein, while prosecuting the objectives of its human controllers. The Achilles’ heel of this technology, however, is what makes it possible—the machine’s ability to learn from examples. By poisoning these example datasets, adversaries can corrupt the machine’s training process, potentially causing the United States to field unreliable or dangerous assets. Defending against such techniques is critical. The United States must start accelerating its investments in developing countermeasures and change the way it uses and consumes data to mitigate these attacks when they do occur.
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International negotiations on the regulation of killer robots failed - "US rejects calls for regulation'
Following calls from the government of New Zealand for the adoption of international laws to prohibit and limit autonomous weapons systems, the United States has opposed such regulations. Speaking at a meeting in Geneva, US official Josh Dorosin maintained that America saw "the best way to make progress ... would be through the development of a non-binding code of conduct”. See as well this press-release.
#Comment: The entire Robotics & A.I Industry should be deeply ashamed of itself. Weapons are the true "killer app" of your tech. No wonder that the people involved act like soulless robots already today.
"If you're losing your soul and you know it, then you have still got a soul left to lose." - Charles Bukowski
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Cleaning a store selling robotic vacuum cleaners, with a vacuum cleaner manually...
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"In this job market, more workers are choosing AI over humans for career advice" (CNBC)
"More specifically, the Oracle study found that 82% of employees believe AI can support their careers better than humans."
#Comment: This has little to do with real advances in "AI" (I had the "pleasure" of working on interactive ML systems for career support at G), and a lot to do with the collapse of interpersonal relationships and trust. Related: "Thoughts on Sanity in Times of Automated Insanity"
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Robotic police dogs: Useful hounds or dehumanizing machines?
If you're homeless and looking for temporary shelter in Hawaii's capital, expect a visit from a robotic police dog that will scan your eye to make sure you don't have a fever. That's just one of the ways public safety agencies are starting to use Spot, the best-known of a new commercial category of robots that trot around with animal-like agility.
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Nixie system uses drones for more efficient water sampling
Municipalities regularly have to check for pollution in local waterways, often utilizing crews of workers in boats. The new Nixie system is intended to make things much quicker, simpler and ultimately cheaper, using a water-sampling drone instead.
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Unitree Go1 ($2.7k)
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US Army using VR helmet to link biometrics with automated systems
“The future squad is not just going to be humans,” Army Research Lab Scientist Russell Cohen Hoffing tells Federal News Network. “There’s going to be agents involved — robots, some intelligent adaptive systems, drones, software. Our systems will passively look at physiology of soldiers and use that to create a map to paint a picture of situational awareness. You could have a drone immediately infer where a soldier is interested and go and explore that area, and this is again having all passively without a soldier’s input at all.”
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Untold History of AI: The DARPA Dreamer Who Aimed for Cyborg Intelligence - J.C.R. Licklider’s proposals for “man-machine symbiosis” led to the invention of the Internet
"A monopoly on the means of communication may define a ruling elite more precisely than the celebrated Marxian formula of monopoly in the means of production." - Robert Anton Wilson
#Technology #Augmentation #Robot #ML #History #Politics #Economics #Philosophy
