The U.S. Intelligence Community (IC) stands at the dawn of a new era of technological innovation and transformation unprecedented in its history. Driven by artificial intelligence (AI) and associated emerging technologies, including cloud computing, advanced sensors, and big data analytics, the approaching “AI era” will transform both the nature of the global threats the IC is responsible for assessing and the IC’s ability to accurately detect and assess them. Through all of this, the core mission of the IC will remain unchanged: to understand what is happening in the world, to deliver timely, accurate, and insightful analysis of those threats and developments to U.S. policymakers, and to provide U.S. leaders decision making advantage over competitors. What will change is the IC’s ability to fulfill this mission if it does not adapt to the new AI era. Read More
Daily Archives: January 13, 2021
The very real fear of artificial intelligence
My job it seems is safe, for now. Stringing together reasonably coherent sentences may not be a particularly testing task, but at least the threat from artificial intelligence (AI), the newest jobs-killer in town, isn’t as potent as I feared.
In a recent paper published in the Findings of Empirical Methods in Natural Language Processing (EMNLP), Assistant Professor Xiang Ren and PhD student Yuchen Lin at the University of Southern California found that despite significant advances AI still doesn’t have the common sense needed to generate plausible sentences. As Lin explained to Science Daily, “Current machine text-generation models can write an article that may be convincing to many humans, but they’re basically mimicking what they have seen in the training phase”. Where these models failed was in describing everyday scenarios. Given the words dog, frisbee, throw, and catch, one model came up with the sentence “Two dogs are throwing frisbees at each other.” Nothing wrong in that except that it misses what we know through common sense, viz that a dog can’t throw frisbees. Read More
Top 25 Machine Learning Startups To Watch In 2021 Based On Crunchbase
The 25 startups to watch:
- Augury.
- Alation.
- Algorithmia.
- Avora.
- Boast.ai.
- ClosedLoop.ai.
- Cognino AI.
- Databand.
- DataVisor.
- Exceed.ai.
- Indico.
- JAXJOX.
- LeadGenius.
- Netra.
- Particle.
- ResurfaceLabs.
- RideVision.
- Savvie.
- SECURITI.ai.
- SkyHive.
- Stravito.
- Uniphore.
- Vertia.ai.
- V7.
- Zest.ai.
Superintelligence cannot be contained: Lessons from Computability Theory
Superintelligence is a hypothetical agent that possesses intelligence far surpassing that of the brightest and most gifted human minds. In light of recent advances in machine intelligence, a number of scientists, philosophers and technologists have revived the discussion about the potential catastrophic risks entailed by such an entity. In this article, we trace the origins and development of the neo-fear of superintelligence, and some of the major proposals for its containment. We argue that such containment is, in principle, impossible, due to fundamental limits inherent to computing itself. Assuming that a superintelligence will contain a program that includes all the programs that can be executed by a universal Turing machine on input potentially as complex as the state of the world, strict containment requires simulations of such a program, something theoretically (and practically) infeasible. Read More
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