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There Is No A.I.

“As a computer scientist, I don’t like the term ” A.I.” In fact, I think it’s misleading—maybe even a little dangerous. Everybody’s already using the term, and it might seem a little late in the day to be arguing about it. But we’re at the beginning of a new technological era—and the easiest way to mismanage a technology is to misunderstand it.

The term artificial intelligence has a long history—it was coined in the nineteen-fifties, in the early days of computers. More recently, computer scientists have grown up on movies like The Terminator and The Matrix, and on characters like Commander Data, from Star Trek: The Next Generation. These cultural touchstones have become an almost religious mythology in tech culture. It’s only natural that computer scientists long to create A.I. and realize a long-held dream.

What’s striking, though, is that many of the people who are pursuing the A.I. dream also worry that it might mean doomsday for mankind. It is widely stated, even by scientists at the very center of today’s efforts, that what A.I. researchers are doing could result in the annihilation of our species, or at least in great harm to humanity, and soon. In a recent poll, half of A.I. scientists agreed that there was at least a ten-per-cent chance that the human race would be destroyed by A.I.

The Idea Revolution: How AI and Large Language Models Are Transforming the Way We Think

I remember when Gmail launched predictive answers to emails as a quick way to respond to folks. This moment sparked my curiosity about where this kind of technology would lead us. In those first few moments after discovering this feature, I understood that language itself, and perhaps even human thought, were on the brink of a massive transformation.

This was even more evident with predictive text. The idea is that the prediction is accurate, or close enough, so eventually, people will just start using the same small set of responses, with the conversations becoming more homogeneous and less original. Original thought is endangered.

Bill Gates says AI chatbots like ChatGPT can replace human teachers

Said by me, before Bill. really smart kids will probably check out by late 2020s, preferring AI tutors over in person. the idea for everyone who wants to to be able to use an AI tutor will take place mid 2030s. And debate will turn very nasty.


Bill Gates believes AI (artificial intelligence) chatbots like ChatGPT will be able to replace teachers in the near future. There’s a lot of hype surrounding AI and the 67-year-old Microsoft co-founder has been endorsing it lately.

According to Gates, generative AI models including ChatGPT will soon be able to help children learn to read and improve their grades. In other words, the billionaire suggests A.I. chatbots could oust teachers in the near future.

Earlier this month, ASU+GSV Summit announced Gates as a keynote speaker for the event. During the event that took place in San Diego, the visionary entrepreneur predicted that AI chatbots will be able to help children hone their writing skills in just 18 months.

What AI Technology Is Doing for Longevity Now

In March 2023, MIT Technology Review revealed that Sam Altman, the CEO of OpenAI (ChatGPT), was the mystery investor behind the $180 million investment into stealth startup Retro Biosciences, a biotech company with the ambition of “adding 10 years to the human lifespan.” This investment marks the latest tech entrepreneur expressing their interest in longevity science and a new connection with innovative AI technology.

According to February 2023 reports, AI is continuing to gain traction in healthcare applications. Currently, the market is estimated at $14.6 billion (USD) with a compound annual growth rate (CAGR) of 47.6%, with solutions spread across various healthcare fields, such as patient data and risk analysis, precision medicine, cybersecurity, lifestyle management, and drug discovery.

The increasing convergence of AI technology and longevity science is sparking advancements in the sector, with established businesses, start-ups, and researchers utilizing the technology. Most recently, scientists explored how ChatGPT, an AI-based language model, was able to predict Alzheimer’s in 80% of cases when analyzing speech. However, it is not the only implementation.

FDNY, NYPD explain robotic technology used by first responders during parking garage collapse

The robotic dog is officially named Bergh, after Henry Bergh, who founded the ASPCA.

Bergh weighs 70 pounds and can go up stairs. It can fall or get knocked over and get back up. It can even open doors.

Last week, Bergh was put into action for the first time at the building collapse. Officials say there was no way to know if other people were trapped. Bergh entered the first floor and second floor, going about 25 feet into the building and stopping so the operator could use a thermal camera to detect heat. One of the robotic dogs was able to find the garage’s general manager, 59-year-old Willis Moore, who was killed.

Engineers ‘grow’ atomically thin transistors on top of computer chips

Emerging AI applications, like chatbots that generate natural human language, demand denser, more powerful computer chips. But semiconductor chips are traditionally made with bulk materials, which are boxy 3D structures, so stacking multiple layers of transistors to create denser integrations is very difficult.

However, semiconductor transistors made from ultrathin 2D materials, each only about three atoms in thickness, could be stacked up to create more powerful chips. To this end, MIT researchers have now demonstrated a that can effectively and efficiently “grow” layers of 2D transition metal dichalcogenide (TMD) materials directly on top of a fully fabricated silicon chip to enable denser integrations.

Growing 2D materials directly onto a silicon CMOS wafer has posed a major challenge because the process usually requires temperatures of about 600 degrees Celsius, while silicon transistors and circuits could break down when heated above 400 degrees. Now, the interdisciplinary team of MIT researchers has developed a low-temperature growth process that does not damage the chip. The technology allows 2D semiconductor transistors to be directly integrated on top of standard silicon circuits.

New Therapy Found to Prevent Aggressive Brain Cancer Recurrence in Mice

A new gel-based treatment for glioblastoma—a highly aggressive form of brain cancer—has shown to be 100% effective at preventing recurrence in mice. Researchers hope the therapy will translate well into human physiology, where it could help resolve tens of thousands of cancer diagnoses every year.

Glioblastoma manifests as a tumor growing on the brain or spinal cord. While many glioblastoma patients have the tumor surgically removed, the mass often returns, even in cases involving post-surgical radiation or chemotherapy. The disease is so persistent that the average patient lives only 12 to 16 months after diagnosis, making glioblastoma one of the most lethal forms of cancer currently understood.

Researchers at Johns Hopkins University are working to improve patients’ life expectancies using an injectable gel that blocks cancer’s path. According to a paper published Tuesday in Proceedings of the National Academy of Sciences, the gel is made up of nano-sized filaments derived from the drug paclitaxel, which is used alongside chemotherapy to treat other forms of cancer. The gel serves as a vehicle for aCD47, an antibody that prompts macrophages to ingest tumor cells.

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