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The Discovery of a New Semiconductor Could Revolutionize Computing

Out the free AMD loaner offer. Test the Ryzen PRO laptops yourself and experience the benefits they can bring to your business:
https://tinyurl.com/222dzww9

The Paper:
Indium Selenide breakthrough ➜ https://www.nature.com/articles/s41586-024-08156-8

Timestamps.
00:00 — New Semiconductor.
04:26 — How it works.
07:23 — Outlook and Alternatives.
11:30 — Top 5 Technologies of 2024

The videos I mentioned:
1. Probabilistic Computing https://youtu.be/hJUHrrihzOQ
2. First Functional Graphene Chip https://youtu.be/wGzBuspS9JI?si=saNoFiCw63B5BhPr.
3. Photonic Chip: https://youtu.be/TJ8vywX9asU
4. Quantum Computing: https://youtu.be/eINcrZGDQD0
5. AI: https://youtu.be/WeYM3dn_XvM

Thumbnail image credit: Akanksha Jain.

My course on Technology and Investing ➜ https://www.anastasiintech.com/course.

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The Most Advanced Civilization In The Universe (Type 1 to Type 4)

How advanced will our civilization become?
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CHAPTERS:
00:00 Type 1 Civilization (Planetary)
32:43 Type 2 Civilization (Stellar)
01:05:17 Type 3 Civilization (Galactic)
01:41:09 Type 4 Civilization (Universal)

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

SUBSCRIBE: https://bit.ly/3geLDGO

This video explores Type 1 to 4 civilizations. Other related terms: ai, future business tech, future technology, future tech, future business technologies, future technologies, type 1 civilization, type 2 civilization, type 3 civilization, type 4 civilization, etc.

#technology

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Tech firms increasingly look to nuclear power for data center

As energy-hungry computer data centers and artificial intelligence programs place ever greater demands on the U.S. power grid, tech companies are looking to a technology that just a few years ago appeared ready to be phased out: nuclear energy.

After several decades in which investment in new nuclear facilities in the U.S. had slowed to a crawl, tech giants Microsoft and Google have recently announced investments in the technology, aimed at securing a reliable source of emissions-free power for years into the future.

Earlier this year, online retailer Amazon, which has an expansive cloud computing business, announced it had reached an agreement to purchase a nuclear energy-fueled data center in Pennsylvania and that it had plans to buy more in the future.

Amazon’s plan, by contrast, does not require either new technology or the resurrection of an older nuclear facility.

The data center that the company purchased from Talen Energy is located on the same site as the fully operational Susquehanna nuclear plant in Salem, Pennsylvania, and draws power directly from it.

Amazon characterized the $650 million investment as part of a larger effort to reach net-zero carbon emissions by 2040.

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Scientists push boundaries with high-tech device that turns heat source into readily available energy — here’s how it works

The International Renewable Energy Agency says breakthroughs like this, along with others such as solar panels that work at night or China’s flywheel energy storage project, are key to cutting back on dirty energy use and creating stronger and more reliable power systems.

“Further international cooperation is vital to deliver fit-for-purpose grids, sufficient energy storage and faster electrification, which are integral to move clean energy transitions quickly and securely,” Executive Director of the International Energy Agency Fatih Birol said in an IEA report.

This new way of storing energy could deliver cleaner, more affordable energy to cities, businesses, and homes. Researchers at Rice University believe it could be widely available in five to 10 years, making renewable energy more practical and accessible.

OpenAI announces first partnership with a university

OpenAI on Thursday announced its first partnership with a higher education institution. Starting in February, Arizona State University will have full access to ChatGPT Enterprise and plans to use it for coursework, tutoring, research and more.

The partnership has been in the works for at least six months, when ASU Chief Information Officer Lev Gonick first visited OpenAI’s HQ, which was preceded by the university faculty and staff’s earlier use of ChatGPT and other artificial intelligence tools, Gonick told CNBC in an interview.

ChatGPT Enterprise, which debuted in August, is ChatGPT’s business tier and includes access to GPT-4 with no usage caps, performance that’s up to two times faster than previous versions and API credits.

How To Deploy Production-Ready AI Agents That Drive Real Business Value

Your safety framework must include content filtering, output validation, rate limiting and detailed audit logging. I’ve found that implementing circuit breakers—automatic capability disablers triggered by anomalies—prevents small issues from becoming major incidents. For example, if an agent starts generating an unusual number of error responses, the system should automatically restrict its capabilities and alert the operations team.

Last year, I spoke to a tech company whose AI assistant became a victim of its own success. The system that flawlessly handled 1,000 daily requests crashed when usage jumped to 100,000 requests after a successful product launch. This taught us the importance of building for scale from day one. Even well-established companies like Netflix occasionally face challenges with scale, as seen during the recent live-streaming outages for the Jake Paul vs. Mike Tyson fight.

A production-ready architecture needs several key components working in harmony. The core engine should be modular, making updates and maintenance straightforward. Your integration layer should connect smoothly with enterprise systems through standardized APIs. Comprehensive monitoring helps you spot issues before they impact users, and robust memory management ensures consistent context handling across interactions.

Beyond AI: Preparing For Artificial Superintelligence

In 1956, a group of pioneering minds gathered at Dartmouth College to define what we now call artificial intelligence (AI). Even in the early 1990s when colleagues and I were working for early-stage expert systems software companies, the notion that machines could mimic human intelligence was an audacious one. Today, AI drives businesses, automates processes, creates content, and personalizes experiences in every industry. It aids and abets more economic activity than we “ignorant savages” (as one of the founding fathers of AI, Marvin Minsky, referred to our coterie) could have ever imagined. Admittedly, the journey is still early—a journey that may take us from narrow AI to artificial general intelligence (AGI) and ultimately to artificial superintelligence (ASI).

As business and technology leaders, it’s crucial to understand what’s coming: where AI is headed, how far off AGI and ASI might be, and what opportunities and risks lie ahead. To ignore this evolution would be like a factory owner in 1900 dismissing electricity as a passing trend.

Let’s first take stock of where we are. Modern AI is narrow AI —technologies built to handle specific tasks. Whether it’s a large language model (LLM) chatbot responding to customers, algorithms optimizing supply chains, or systems predicting loan defaults, today’s AI excels at isolated functions.

Deadly Magnitude 7.3 Quake Strikes Pacific Island Nation

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A powerful earthquake, possibly the strongest in years, has devastated the island nation of Vanuatu, killing at least 14 people. More than 200 are reported injured according to a post on X by Katie Greenwood, Fiji-based head of the Red Cross in the Pacific.

The 7.3-magnitude jolt rocked the region on Tuesday sending tremors through homes, businesses and critical infrastructure. Witnesses described buildings collapsing, roads blocked by landslides and hospitals stretched thin as reports of injuries — and unconfirmed casualties — surfaced.

Navigating Cloud Networking And The Cost Dilemma In The Age Of AI

Chris McHenry is Vice President of Product Management at Aviatrix.

Enterprise reliance on cloud computing is no longer a question of “if” but “how much” and “how secure.” The cloud has become the backbone of modern business, enabling rapid scaling, seamless integration and global reach.

However, as cloud adoption matures, so do its associated costs—driven significantly by the rise of artificial intelligence (AI) and the escalating energy demands of data centers. For instance, OpenAI recently revealed plans to increase its prices by 120% over the next five years, even after securing an industry-record $6.6 billion in funding.

Ways to Deal With Hallucinations in LLM

Originally published on Towards AI.

One of the major challenges in using LLMs in business is that LLMs hallucinate. How can you entrust your clients to a chatbot that can go mad and tell them something inappropriate at any moment? Or how can you trust your corporate AI assistant if it makes things up randomly?

That’s a problem, especially given that an LLM can’t be fired or held accountable.