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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

Nexus is building an AI R&D organization aimed at creating artificial intelligence agents that are transparent and verifiable to their users. Artificial intelligence continues to gain attention in the blockchain space, infrastructure company Nexus announced on Thursday, May 8, the launch of its dedicated AI research and development lab: the Nexus Verifiable AI Lab. The Nexus Verifiable AI Lab will work on bridging blockchain verifiability with artificial intelligence. They will focus on developing AI models that are auditable and trustworthy, with the help of zero-knowledge proofs. The primary goal is to address a growing concern with today’s large language models: their lack of transparency. Currently, users have no insight into how AI systems arrive at specific outputs, nor can they determine whether those outputs stem from machine logic or human input. The opacity of AI systems is a particular concern in regulated industries. In industries such as healthcare, finance, etc, corporate users have to know where the training data is coming from, and how the model generates its outputs. “Modern AI systems are powerful — but opaque. We rarely know exactly what data they were trained on, which version was deployed, or whether the output we see was actually generated by the model we tested. In regulated domains like healthcare, finance, and law, this opacity is a dealbreaker,” Nexus wrote Nexus’s efforts showcase the growing convergence between AI and blockchain technologies. In particular, blockchain systems can provide the transparency and open-source nature that current AI models lack. What is more, Nexus is just one of the companies working on verifiable AI. For instance, Oasis Protocol launched its verifiable AI agents on April 29. With these agents, users can independently verify how they is they are applying the correct trading strategy.

Tokenized digital real estate platform Alt DRX completes $2.7 million Series A financing, with participation from Brand Capital and others Tokenized digital real estate platform Alt DRX announced the completion of US$2.7 million in Series A financing, with participation from Brand Capital, Hindustan Media Ventures (HMVL), QDBQA, ZEE, We Founder Circle and nX Capital. The new funds will be used to support its construction of a blockchain-driven digital real estate exchange that will enable users to invest in and trade tokenized residential properties. The company is currently working with IFSCA and Qatar Financial Center to promote the platform to operate in regulatory sandboxes such as the Digital Asset Lab.