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Could AIs become conscious? Right now, we have no way to tell

Advances in artificial intelligence are making it increasingly difficult to distinguish between uniquely human behaviors and those that can be replicated by machines. Should artificial general intelligence (AGI) arrive in full force—artificial intelligence that surpasses human intelligence—the boundary between human and computer capabilities will diminish entirely.

In recent months, a significant swath of journalistic bandwidth has been devoted to this potentially dystopian topic. If AGI machines develop the ability to consciously experience life, the moral and legal considerations we’ll need to give them will rapidly become unwieldy. They will have feelings to consider, thoughts to share, intrinsic desires, and perhaps fundamental rights as newly minted beings. On the other hand, if AI does not develop consciousness—and instead simply the capacity to out-think us in every conceivable situation—we might find ourselves subservient to a vastly superior yet sociopathic entity.

Neither potential future feels all that cozy, and both require an answer to exceptionally mind-bending questions: What exactly is consciousness? And will it remain a biological trait, or could it ultimately be shared by the AGI devices we’ve created?

OpenAI partners with Los Alamos National Laboratory to advance “bioscientific research”

1/ OpenAI and Los Alamos National Laboratory (LANL) are partnering to explore how multimodal AI models can be safely used by laboratory scientists to advance life science research.

2/ As part of an evaluation study, novice and advanced laboratory scientists will solve standard experimental tasks…


OpenAI and Los Alamos National Laboratory (LANL) are collaborating to study the safe use of AI models by scientists in laboratory settings.

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The partnership aims to explore how advanced multimodal AI models like GPT-4, with their image and speech capabilities, can be safely used in labs to advance “bioscientific research.”

A new model to plan and control the movements of humanoids in 3D environments

Humanoids, robotic or virtual systems with body structures that resemble the human body, have a wide range of real-world applications. As their limbs and bodies mirror those of humans, they could be made to reproduce a wide range of human movements, such as walking, crouching, jumping, swimming and so on.

Computationally generating realistic motions for virtual humanoid characters could have interesting implications for the development of video games, animated films, (VR) experiences, and other media content. Yet the environments portrayed in video games and animations are often highly dynamic and complex, which can make planning motions for introduced in these environments more challenging.

Researchers at NVIDIA Research in Israel recently introduced PlaMo (Plan and Move), a to plan the movements of humanoids in complex, 3D, physically simulated worlds. Their approach, presented in a paper published on arXiv preprint server, consists of a scene-aware path and a robust control policy.

New tool uses vision language models to safeguard against offensive image content

Researchers at the Artificial Intelligence and Machine Learning Lab (AIML) in the Department of Computer Science at TU Darmstadt and the Hessian Center for Artificial Intelligence (hessian. AI) have developed a method that uses vision language models to filter, evaluate, and suppress specific image content in large datasets or from image generators.

Artificial intelligence (AI) can be used to identify objects in images and videos. This computer vision can also be used to analyze large corpora of visual data.

Researchers led by Felix Friedrich from the AIML have developed a method called LlavaGuard, which can now be used to filter certain image content. This tool uses so-called vision language models (VLMs). In contrast to large language models (LLMs) such as ChatGPT, which can only process text, vision language models are able to process and understand image and text content simultaneously. The work is published on the arXiv preprint server.

20 Emerging Technologies That Will Change The Future

Boost your knowledge in AI and emerging technologies with Brilliant’s engaging courses. Enjoy 30 days free and 20% off a premium subscription at https://brilliant.org/FutureBusinessTech.

In this video, we explore 20 emerging technologies changing our future, including super-intelligent AI companions, radical life extension through biotechnology and gene editing, and programmable matter. We also cover advancements in flying cars, the quantum internet, autonomous AI agents, and other groundbreaking innovations transforming the future.

🎁 5 Free ChatGPT Prompts To Become a Superhuman: https://bit.ly/3Oka9FM
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00:07 Super Intelligent AI Companions.
04:27 Radical Life Extension.
08:40 Programmable Matter.
11:33 Flying Cars.
16:29 Quantum Internet.
20:34 Autonomous AI Agents.
25:21 Hypersonic Aircraft And Missiles.
29:19 Invisibility Suits.
33:45 Human Brain Simulations.
37:02 Synthetic Biology.
40:54 AI-Enabled Warfare.
44:58 Solar Sail Technology.
49:42 Bionic Eyes.
53:20 Swarm Robotics.
56:40 Room-Temperature Superconductors.
01:01:42 Optical Computing.
01:05:59 Graphene Technology.
01:11:01 Artificial Trees.
01:15:07 Web 3.0
01:18:03 Vertical Farming.

💡 Future Business Tech explores AI, emerging technologies, and future technologies.

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The Last 6 Decades of AI — and What Comes Next | Ray Kurzweil | TED

How will AI improve our lives in the years to come? From its inception six decades ago to its recent exponential growth, futurist Ray Kurzweil highlights AI’s transformative impact on various fields and explains his prediction for the singularity: the point at which human intelligence merges with machine intelligence.

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