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Advanced artificial intelligence (AI) tools, including LLM-based conversational agents such as ChatGPT, have become increasingly widespread. These tools are now used by countless individuals worldwide for both professional and personal purposes.

Some users are now also asking AI agents to answer everyday questions, some of which could have ethical and moral nuances. Providing these agents with the ability to discern between what is generally considered ‘right’ and ‘wrong’, so that they can be programmed to only provide ethical and morally sound responses, is thus of the utmost importance.

Researchers at the University of Washington, the Allen Institute for Artificial Intelligence and other institutes in the United States recently carried out an experiment exploring the possibility of equipping AI agents with a machine equivalent of human moral judgment.

In today’s AI news, Meta on Tuesday announced that it’ll host its first-ever dev conference dedicated to generative AI. Called LlamaCon after Meta’s Llama family of generative AI models, the conference is scheduled to take place on April 29. Meta said that it plans to share the latest on its open source AI developments to help developers build amazing apps and products.

In other advancements, after her sudden departure from OpenAI last fall, ex-CTO Mira Murati vanished from public view to start something new. Now, she is ready to share some details about what she’s working on. Her new AI startup is called Thinking Machines Lab, and while the specifics of what it plans to release are still under wraps, the company says its goal is “to make AI systems more widely understood, customizable and generally capable.”

Meanwhile, In a new paper, OpenAI researchers detail how they developed an LLM benchmark called SWE-Lancer to test how much foundation models can earn from real-life freelance software engineering tasks. The test found that, while the models can solve bugs, they can’t see why the bug exists and continue to make more mistakes.

And, Humane is selling most of its company to HP for $116 million and will stop selling AI Pin, the company announced today. AI Pins that have already been purchased will continue to function normally until 3PM ET on February 28th, Humane says in a support document. After that date, Pins will “no longer connect to Humane’s servers.”

Then, in this episode of Top of Mind, Gartner Global Chief of Research Chris Howard breaks down the buzz around agentic AI. Learn how AI agents can make autonomous decisions, optimize solutions and even collaborate in multi-agent systems to transform the future of business now.

And, inbound conversational AI phone calls can now easily be personalized using Twilio and ElevenLabs Conversational AI. Provide dynamic variables based on the inbound caller id, and override the prompt, language, first message to fully customize your voice AI agents.

In other videos, Tim is diving into SkyReels, a powerful new AI video model that’s free, open-source, and comes with its own robust platform. In this deep dive, he’ll walk through SkyReels’ unique features—from its human-centric training data to its text-to-video and image-to-video workflows.

If you think telepathy or mind control is the stuff of science fiction, think again. Advances in artificial intelligence are leading to medical breakthroughs once thought impossible, including devices that can actually read minds and alter our brains.

DARPA lifts the veil on concealed bio-weapons and astonishing drone technology 🤖🦾 To try everything Brilliant has to offer—free—for a full 30 days, visit http://brilliant.org/BeeyondIdeas/ The first 200 of you will get 20% off Brilliant’s annual premium subscription. 🪐

Beeyond Ideas follows the viewpoint of Harry, a human-AI synthesis from the 22nd century. Someday in 2123, he found a way to access the secret old database of information or the “2023 Internet” as we know it.

Follow Harry’s adventure by subscribing to this channel Want to support our production? Feel free to join our membership at https://youtube.com/watch?v=wMeOlJjEvSc&si=YQODBYXZ1-dq4Leh #AI #Robotics #ArtificialIntelligence #darpa.

Want to support our production? Feel free to join our membership at https://youtube.com/watch?v=wMeOlJjEvSc&si=YQODBYXZ1-dq4Leh.

#AI #Robotics #ArtificialIntelligence #darpa

An uncensored version of R1 is released 🔥

“R1 1776 is a DeepSeek-R1 reasoning model that has been post-trained by @perplexity_ai to remove Chinese Communist Party censorship. The model provides unbiased, accurate, and factual information while maintaining high reasoning capabilities.”

“To ensure our model remains fully ‘uncensored’ and capable of engaging with a broad spectrum of sensitive topics, we curated a diverse, multilingual evaluation set of over a 1,000 of examples that comprehensively cover such subjects. We then use human annotators as well as carefully designed LLM judges to measure the likelihood a model will evade or provide overly sanitized responses to the queries.”

[#AI](https://www.facebook.com/hashtag/ai?__eep__=6&__cft__[0]=AZW8BaBse7DQTjHN8Y8vhbazZ3YwuUZoz0gW4ATjA0Qd-WYN8VQwIDi6MAG_Kqsenozm-IYuarR5zVj52HWERbfhr9cGCf0bGhdlKCwSC-_19NvC18LSj6Jx5WEaWrHYD9Vm9O1GIjR7yeKLo6Pd3oRwDt_qW8AuMDOLXS42xoYQpzonMSBJbyboFdqPDRPLNwI&__tn__=*NK-R) [#PerplexityAI](https://www.facebook.com/hashtag/perplexityai?__eep__=6&__cft__[0]=AZW8BaBse7DQTjHN8Y8vhbazZ3YwuUZoz0gW4ATjA0Qd-WYN8VQwIDi6MAG_Kqsenozm-IYuarR5zVj52HWERbfhr9cGCf0bGhdlKCwSC-_19NvC18LSj6Jx5WEaWrHYD9Vm9O1GIjR7yeKLo6Pd3oRwDt_qW8AuMDOLXS42xoYQpzonMSBJbyboFdqPDRPLNwI&__tn__=*NK-R) [#DeepSeek](https://www.facebook.com/hashtag/deepseek?__eep__=6&__cft__[0]=AZW8BaBse7DQTjHN8Y8vhbazZ3YwuUZoz0gW4ATjA0Qd-WYN8VQwIDi6MAG_Kqsenozm-IYuarR5zVj52HWERbfhr9cGCf0bGhdlKCwSC-_19NvC18LSj6Jx5WEaWrHYD9Vm9O1GIjR7yeKLo6Pd3oRwDt_qW8AuMDOLXS42xoYQpzonMSBJbyboFdqPDRPLNwI&__tn__=*NK-R)


Explore #ai at Facebook.

Creating and sustaining fusion reactions—essentially recreating star-like conditions on Earth—is extremely difficult, and Nathan Howard, Ph.D., a principal research scientist at the MIT Plasma Science and Fusion Center (PSFC), thinks it’s one of the most fascinating scientific challenges of our time.

“Both the science and the overall promise of fusion as a clean energy source are really interesting. That motivated me to come to grad school [at MIT] and work at the PSFC,” he says.

Howard is member of the Magnetic Fusion Experiments Integrated Modeling (MFE-IM) group at the PSFC. Along with MFE-IM group leader Pablo Rodriguez-Fernandez, Howard and the team use simulations and machine learning to predict how plasma will behave in a fusion device. MFE-IM and Howard’s research aims to forecast a given technology or configuration’s performance before it’s piloted in an actual fusion environment, allowing for smarter design choices. To ensure their accuracy, these models are continuously validated using data from previous experiments, keeping their simulations grounded in reality.

Imagine watching a speaker and another person nearby is loudly crunching from a bag of chips. To deal with this, a person could adjust their attention to downplay those crunch noises or focus their hearing on the speaker. But understanding how human brains do this has been a challenge.

In a recent study, researchers developed a portable digital holographic camera system that can obtain full-color digital holograms of objects illuminated with spatially and temporally incoherent light in a single exposure. They employed a deep-learning-based denoising algorithm to suppress random noise in the image-reconstruction procedure, and succeeded in video-rate full-color digital holographic motion-picture imaging using a white LED.

The camera they developed is palm-sized, weighs less than 1 kg, operates on a table with , does not require antivibration structures, and obtains incoherent motion-picture holograms under the condition of close-up recording.

The research is published in the journal Advanced Devices & Instrumentation.

Summary: Researchers have developed a geometric deep learning approach to uncover shared brain activity patterns across individuals. The method, called MARBLE, learns dynamic motifs from neural recordings and identifies common strategies used by different brains to solve the same task.

Tested on macaques and rats, MARBLE accurately decoded neural activity linked to movement and navigation, outperforming other machine learning methods. The system works by mapping neural data into high-dimensional geometric spaces, enabling pattern recognition across individuals and conditions.

In my new marketing position at Moving On IT I am blessed to be working with some old friends that really know the IT, AI, and Cybersecurity industry inside out. So much so, they have recently been certified as an Ingram Micro partner.

We are in the midst of developing a whole new website, and product information portal using AI-design software. The website is a bit of mess now, but stay tuned and watch it grow.

One of coolest things is that the company allows me the leeway to find new ways to promote their company, products, and services. So I have been using AI and my creativity to craft a unique new spokesperson that embodies the brand, and amplifies the companies values and industry messaging.

In today’s highly digital landscape, cybercrime has become a pervasive threat, compromising the security and integrity of our nation’s information technology infrastructure.

As an authorized provider of IT, AI, and cybersecurity solutions from the world’s leading manufacturers, Moving On IT has taken a bold stance against this menace.

Moving On IT’s company’s values are rooted in a strong commitment to protecting our customers’ IT assets. With security solutions from top-tier vendors, and cybersecurity-liability insurance services Moving On IT secures our nation’s networks.

I am proud to introduce my latest creation, Moving On IT’s hometown hero, and new company spokesperson, Captain Cybersecurity.