Giá The ProfessorLAB

we've got AI making novel discoveries in the lab and I still can't TP effectively

Bitcoin (BTC) has been tipped to become the world’s most valuable asset after researchers at the world’s highest particle energy accelerator, CERN’s Large Hadron Collider (LHC), supervised the transmutation of lead into gold. According to crypto analyst Ran Neuner, this groundbreaking experiment could negatively affect the value of gold and position Bitcoin as a dominant safe haven. In explaining how modern scientists were able to achieve a milestone that could only be dreamt of by medieval alchemists, it was disclosed that the difference between lead and gold was scientifically acknowledged and taken advantage of. According to modern knowledge, the difference between an atom of lead and an atom of gold is just three more protons contained in the lead. To attain this significant breakthrough, the world’s largest particle accelerator was used to crash beams of lead ions into each other. Fascinatingly, this was done at nearly the speed of light. Our research shows that while some of the ions collided, others did not. According to the scientists, some lead atoms successfully lost three of their protons, transmuting them into gold. Specifically, colliders were reported to have created 86 billion gold nuclei (29 trillion grams). However, most of them lasted for only about a microsecond. While the latest development underscores the growing commitment and effort to synthetically produce gold, it is also reported to undermine its value by offsetting the scarcity aspect of the precious metal. Explaining how this could affect the value, Neuner posted a diamond chart to highlight how the value has plummeted since scientists created lab-grown diamonds. In the chart, it can be seen that the value of diamonds has significantly declined from the highest point in the first week of January 2022 to a very low level in the first week of January 2024. According to Neuner, the synthetic diamond cannot be differentiated from the original using the human eye or a magnifying glass. Above all, the cost is about 1% of the original. Multiple analysts have highlighted Bitcoin’s potential to outshine gold in the past. As indicated in our recent blog post, MicroStrategy’s Michael Saylor has predicted that Bitcoin’s market cap could break the $280 trillion mark, establishing a new position as the global powerhouse. Speaking on this at the recently held Strategy’s Bitcoin for Corporations Conference, Saylor explained that this could be witnessed in the next 20 years. Currently, Bitcoin has a market cap of $2.03 trillion, with a market share of 63%. Also, the price is still hovering above the support level at $103k, after declining by 0.3% in the last 24 hours and 2.75% in the last seven days. According to our recent analysis , the asset may break down below the $99k level if buyers fail to hold their grip. However, holding above the current level could send the price to a new all-time high. As also mentioned in our previous news brief, Bitcoin could take advantage of the US’s rating downgrade to reach an unprecedented level.

Lab-Made Gold Threatens Value, Bitcoin to Outpace Gold in 2025 Analyst @cryptomanran warns lab gold at CERN could crash gold’s worth, driving a “huge shift into Bitcoin”. @jpmorgan also predicts $BTC will outpace gold this year.

Scientists have not created $BTC & $KAS in the lab. It's overen't folks.

Silicon Valley was where the world’s leading artificial intelligence experts went to perform innovative research, but experts warn that things have changed, and now AI is all about the product. AI researchers and experts also believe that since OpenAI released ChatGPT in late 2022, the tech industry has prioritized commercialization over research by building consumer-ready AI products. Analysts from Morgan Stanley predicted that the AI industry has the potential to reach $1 trillion in annual revenue by 2028. Industry experts said they are concerned about safety as leading players pursue artificial general intelligence (AGI). OpenAI , founded as a nonprofit research lab in 2015, is now in the midst of an effort to transform into a for-profit entity, according to its CEO, Sam Altman. Jan Leike, OpenAI’s former head of alignment, whose team focused on AI safety, resigned last year and said that over the past years, “safety culture and processes have taken a backseat to shiny products.” James White, chief technology officer at cybersecurity startup Calypso, argued that tech companies are taking an increasing number of shortcuts when it comes to rigorously testing their AI models before releasing them to the public. He noted that newer AI models are sacrificing security for quality, that is, better responses by the AI chatbots. “The models are getting better, but they’re also more likely to be good at bad stuff. It’s easier to trick them to do bad stuff.” – James White, Chief Technology Officer at Calypso. In March, Google seemed to prioritize its product over safety after it released its latest AI model, Gemini 2.5, saying it was the firm’s most intelligent AI model. The company failed to release the Gemini 2.5’s model card for weeks, meaning it didn’t share information about how the AI model worked or its limitations and potential dangers upon its release. The firm acknowledged on April 2 that it evaluates its most advanced models for potentially dangerous capabilities before their release. Google later updated the blog post and omitted the words “prior to their release.” The company published an incomplete model card on April 16 and updated it on April 28, more than a month after the AI model’s release, to include information about Gemini2.5’s dangerous capability evaluations. Former Meta employees said they weren’t surprised when Joelle Pineau, a Meta vice president and the head of the company’s FAIR division, announced last month that she would leave her post on May 30. They mentioned that they viewed it as solidifying the company’s move away from AI research and toward prioritizing developing practical products. Pineau has led FAIR since 2023, and according to employees at Meta , small research teams could work on various bleeding-edge technologies that may or may not pan out. The shift started when the tech firm laid off 21,000 employees, or nearly a quarter of its workforce, in late 2022. Former employees familiar with the matter said that FAIR researchers were directed to work more closely with product teams as part of the cost-cutting measures. Two people familiar with the matter said that earlier this year, one of FAIR’s directors, Kim Hazelwood, left the company as part of Meta’s plan to cut 5% of its workforce. The people noted that OpenAI’s launch of ChatGPT created a sense of urgency at Meta to pour more resources into large language models (LLMs). The individuals also revealed that Meta Chief Product Officer Chris Cox has been overseeing FAIR to bridge the gap between research and the product-focused GenAI group. They added that GenAI, under Cox, has been siphoning more computer resources and team members from FAIR due to its elevated status at the company. Last month, Meta released security and safety tools for developers to build apps with the company’s Llama 4 AI models. Meta said that the tools help mitigate the chances of Llama 4 unintentionally leaking sensitive information or producing harmful content. KEY Difference Wire : the secret tool crypto projects use to get guaranteed media coverage