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The Chinese government is considering a plan that would have Elon Musk acquire TikTok’s U.S. operations to keep the app from being effectively banned, Bloomberg News reported Monday.

The contingency plan is one of several options China is exploring as the U.S. Supreme Court determines whether to uphold a law that calls for China-based ByteDance to divest TikTok’s U.S. business by Jan. 19, the report said, citing anonymous sources.

After that deadline, third-party internet service providers would be penalized for supporting TikTok’s operations in the country.

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In today’s AI news, Macquarie will invest up to $5 billion in data centers being built by artificial-intelligence infrastructure company Applied Digital, adding to the Australian bank’s substantial AI-related investments.

And, President Joe Biden will issue an executive order on Tuesday to provide federal support to address massive energy needs for fast-growing advanced artificial intelligence data centers, the White House said.

The order calls for leasing federal sites owned by Defense and Energy departments to host gigawatt-scale AI data centers and new clean power facilities — to address enormous power needs on a short time frame.

Then, Microsoft is creating a new engineering group that’s focused on artificial intelligence. Led by former Meta engineering chief Jay Parikh, the new CoreAI – Platform and Tools division will combine Microsoft’s Dev Div and AI platform teams together to focus on building an AI platform and tools.

S strategy to enhance its AI capabilities across hybrid cloud environments.” + In videos, Snowflake CEO Sridhar Ramaswamy announces a new “upskill” initiative on AI as they work to address a global skills shortage. He joins Caroline Hyde on “Bloomberg Technology” to discuss the companies investment in educating people on AI skills.

Continue reading “Macquarie To Invest Up To Billion In Applied Digital AI Data Centers” | >

Increasingly, AI systems are interconnected, which is generating new complexities and risks. Managing these ecosystems effectively requires comprehensive training, designing technological infrastructures and processes so they foster collaboration, and robust governance frameworks. Examples from healthcare, financial services, and legal profession illustrate the challenges and ways to overcome them.

Page-utils class= article-utils—vertical hide-for-print data-js-target= page-utils data-id= tag: blogs.harvardbusiness.org, 2007/03/31:999.397802 data-title= A Guide to Managing Interconnected AI Systems data-url=/2024/12/a-guide-to-managing-interconnected-ai-systems data-topic= AI and machine learning data-authors= I. Glenn Cohen; Theodoros Evgeniou; Martin Husovec data-content-type= Digital Article data-content-image=/resources/images/article_assets/2024/12/Dec24_13_BrianRea-383x215.jpg data-summary=

The risks and complexities of these ecosystems require specific training, infrastructure, and governance.

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Researchers at the university of pennsylvania.

The University of Pennsylvania (Penn) is a prestigious private Ivy League research university located in Philadelphia, Pennsylvania. Founded in 1740 by Benjamin Franklin, Penn is one of the oldest universities in the United States. It is renowned for its strong emphasis on interdisciplinary education and its professional schools, including the Wharton School, one of the leading business schools globally. The university offers a wide range of undergraduate, graduate, and professional programs across various fields such as law, medicine, engineering, and arts and sciences. Penn is also known for its significant contributions to research, innovative teaching methods, and active campus life, making it a hub of academic and extracurricular activity.

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A study by Michael Gerlich at SBS Swiss Business School has found that increased reliance on artificial intelligence (AI) tools is linked to diminished critical thinking abilities. It points to cognitive offloading as a primary driver of the decline.

AI’s influence is growing fast. A quick search of AI-related science stories reveals how fundamental a tool it has become. Thousands of AI-assisted, AI-supported and AI-driven analyses and decision-making tools help scientists improve their research.

AI has also become more integrated into , from virtual assistants to complex information and decision support. Increased usage is beginning to influence how people think, especially impactful among , who are avid users of the technology in their personal lives.

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Second, Synchron will explore the development of a groundbreaking foundation model for brain inference. By processing Synchron’s neural data on an unprecedented scale, this initiative will create scalable, interpretable brain-language models with the potential to transform neuroprosthetics, cognitive expression, and seamless interaction with digital devices.

“Synchron’s vision is to scale neurotechnology to empower humans to connect to the world, and the NVIDIA Holoscan platform provides the ideal foundation,” said Tom Oxley, M.D., Ph.D., CEO & Founder, Synchron. “Through this work, we’re setting a new benchmark for what BCIs can achieve.”

NEW YORK—()— Synchron, a category-defining brain-computer interface (BCI) company, announced today a step forward in implantable BCI technology to drive the future of neurotechnology. Synchron’s BCI technology, in combination with the NVIDIA Holoscan platform, is poised to redefine the possibilities of real-time neural interaction and intelligent edge processing.

Synchron will leverage NVIDIA Holoscan to advance a next-generation implantable BCI in two key domains. First, Synchron will enhance real-time edge AI capabilities for on-device neural processing, improving signal processing and multi-AI inference technology. This will reduce system latency, bolster privacy, and provide users with a more responsive and intuitive BCI experience. NVIDIA Holoscan provides Synchron with: (i) a unified framework supporting diverse AI models and data modalities; (ii) an optimized application framework, from seamless sensor I/O integration, GPU-direct data ingestion, to accelerated computing and real-time AI.

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00:00 — Self-Improving Models.
00:23 — AllStar Math Overview.
01:34 — Monte-Carlo Tree.
02:59 — Framework Steps Explained.
04:46 — Iterative Model Training.
06:11 — Surpassing GPT-4
07:18 — Small Models Dominate.
08:01 — Training Feedback Loop.
10:09 — Math Benchmark Results.
13:19 — Emergent Capabilities Found.
16:09 — Recursive AI Concerns.
20:04 — Towards Superintelligence.
23:34 — Math as Foundation.
27:08 — Superintelligence Predictions.

Join my AI Academy — https://www.skool.com/postagiprepardness.
🐤 Follow Me on Twitter https://twitter.com/TheAiGrid.
🌐 Checkout My website — https://theaigrid.com/

Links From Todays Video:
https://arxiv.org/pdf/2501.

Welcome to my channel where i bring you the latest breakthroughs in AI. From deep learning to robotics, i cover it all. My videos offer valuable insights and perspectives that will expand your knowledge and understanding of this rapidly evolving field. Be sure to subscribe and stay updated on my latest videos.

Continue reading “Researchers STUNNED As A.I Improves ITSELF Towards Superintelligence (BEATS o1)” | >

00:00 — AI News Overview.
00:20 — Grok 3 Announcement.
01:05 — ChatGPT vs Others.
02:15 — Grok Diagnoses Injury.
06:03 — AI in Healthcare.
06:19 — AI Surveillance Debate.
09:17 — China’s Social Credit.
09:46 — VO2 Video Models.
10:28 — AGI’s $15 Quadrillion Value.
12:13 — Meta’s AI Users.
14:49 — Yann LeCun on AI
16:39 — Clone Robotics Update.
18:14 — NVIDIA Cosmos Explained.
21:06 — NVIDIA Road Simulation.
24:20 — Sam Altman on Singularity.
27:08 — Model Parameter Sizes.
28:21 — Gen X World Explorer.
30:30 — AI Video Realism.

Join my AI Academy — https://www.skool.com/postagiprepardness.
🐤 Follow Me on Twitter https://twitter.com/TheAiGrid.
🌐 Checkout My website — https://theaigrid.com/

Links From Todays Video:

Welcome to my channel where i bring you the latest breakthroughs in AI. From deep learning to robotics, i cover it all. My videos offer valuable insights and perspectives that will expand your knowledge and understanding of this rapidly evolving field. Be sure to subscribe and stay updated on my latest videos.

Continue reading “SINGULARITY Approaches, Grok 3, o1 Model Leaks, Nvdia Stuns, New Humanoids” | >

The past year, 2024, witnessed an array of groundbreaking technological advancements that fundamentally reshaped industries and influenced the global economy. Technology trends like the development of Industry LLMs, Sustainable Computing, and the Augmented Workforce drove innovation, fostered efficiency, and accelerated the pace of Digital Transformation across sectors such as Healthcare, Finance, and Manufacturing. These developments set the stage for even more disruptive Technology Trends in 2025.

This year is set to bring transformative changes to the business landscape, driven by emerging trends that require enterprises to adopt the right technologies, reskill their workforce, and prioritize sustainability. By embracing these Technology Trends, businesses can shape their objectives, remain competitive, and build resilience. However, Success in this rapidly evolving landscape depends not just on adopting these technologies but also on strategically leveraging them to drive innovation and growth.

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In today’s AI news, this year coding might go from one of the most sought-after skills on the job market to one that can be fully automated. Mark Zuckerberg said that Meta and some of the biggest companies in the tech industry are already working toward this on an episode of the Joe Rogan Experience on Friday.

In other advancements, NovaSky, a team of researchers based out of UC Berkeley’s Sky Computing Lab, released Sky-T1-32B-Preview, a reasoning model that’s competitive with an earlier version of OpenAI’s o1. “Remarkably, Sky-T1-32B-Preview was trained for less than $450,” the team wrote in a blog post, “demonstrating that it is possible to replicate high-level reasoning capabilities affordably and efficiently.”

And, no company has capitalized on the AI revolution more dramatically than Nvidia. The world’s leading high-performance GPU maker has used its ballooning fortunes to significantly increase investments in all sorts of startups but particularly in AI startups.

Meanwhile, Sir Keir Starmer has green-lit a plan to use the immigration system to recruit a new wave of AI experts and loosen up data mining regulations to help Britain lead the world in the new technology. The recruitment of thousands of new AI experts by the government and private sector is part of a 50-point plan to transform Britain with the new technology.

In videos, newly deployed at Lawrence Livermore National Laboratory, El Capitan — the National Nuclear Security Administration’s (NNSA) first exascale supercomputer, is setting new benchmarks in computing power. At 2.79 exaFLOPs of peak performance El Capitan’s unprecedented capabilities are already impacting scientific computing and making the previously unimaginable a reality.

Continue reading “Mark Zuckerberg Says AI Could Soon Do The Work Of Meta’s Midlevel Engineers” | >