A team of computer scientists and financial specialists at University College London has developed a tool to track the coordination efforts of pump-and-dump crypto coin scheme manipulators. They have published a paper on the arXiv preprint server describing their tool called Perseus, its purpose and how it works.
Tesla is advancing towards a sustainable future through innovations in energy solutions, autonomous vehicles, and humanoid robots, while fostering a culture of safety and continuous improvement. ## Questions to inspire discussion s Future Production and Impact ” + 🚗 Q: How many vehicles does Tesla aim to produce by 2025? A: Tesla plans to produce over 10 million vehicles in 2025, up from just 20 in 2010, enabled by their compact, high-output factories.
S vision for Optimus humanoid robots? ” +A: Tesla envisions Optimus robots creating a future of abundance for all, producing goods and services with no limit when combined with solar energy and batteries.
🚕 Q: When will autonomous Teslas become widespread? A: Tesla expects autonomous vehicles to dominate roads within 5 years, with a software update enabling 10-100x more usefulness through robotaxi services. s Service and Energy Solutions ” + s approach to customer service? ” +s service team aims to provide a loveable experience, recognizing that future sales depend on service reputation and word-of-mouth marketing. ” + 🔋 Q: How do Megapack and Powerwall 3 benefit homeowners? A: Megapack and Powerwall 3 enable off-grid living and energy assurance, with Powerwall 3 and solar making homes self-sufficient during outages.
S unique about Teslas Supercharger network allows convenient road trips across the US, Mexico, Europe, and China, with charging speeds faster than a restroom break. ” +s AI and Manufacturing Innovations ” + s role in Teslas most powerful AI training systems. ” + s AI hardware compare to others? ” +s AI4 hardware is the most powerful and efficient AI inference computer, operating at very low power in all vehicles. ” + s innovative about TeslaA: The Cybertruck line aims to produce cars in under 5 seconds, using rapid liquid metal casting and automation, resembling a high-speed electronics line. ## Future of Transportation and Energy.
S full self-driving cars? ” +s self-driving cars achieve 10x human safety, never getting tired or distracted, and free up 10–12 hours per week for drivers. ” + s batteries contribute to grid stability? ” +A: Powerwall and Megapack batteries stabilize the grid by absorbing power spikes and filling drops, acting as a virtual grid in neighborhoods.
🚖 Q: How will the role of Uber and taxi drivers change? A: In the future, Uber and taxi drivers will manage fleets of self-driving cars instead of driving individually. ## Investment and Future Technologies.
Explore the role of green and transition finance in achieving net-zero targets, decarbonising hard-to-abate sectors, and driving climate investments for a sustainable, low-carbon economy.
Arizona-based Western Alliance Bank is notifying nearly 22,000 customers their personal information was stolen in October after a third-party vendor’s secure file transfer software was breached.
Western Alliance is a wholly owned subsidiary of Western Alliance Bancorporation, a leading U.S. banking company with over $80 billion in assets.
The bank first revealed in a February SEC filing that the attackers exploited a zero-day vulnerability in the third-party software (disclosed by the vendor on October 27, 2024) to hack a limited number of Western Alliance systems and exfiltrate files stored on the compromised devices.
All eyes will be on Nvidia’s GPU Technology Conference this week, where the company is expected to unveil its next artificial intelligence chips. Nvidia chief executive Jensen Huang said he will share more about the upcoming Blackwell Ultra AI chip, Vera Rubin platform, and plans for following products at the annual conference, known as the GTC, during the company’s fiscal fourth quarter earnings call.
On the earnings call, Huang said Nvidia has some really exciting things to share at the GTC about enterprise and agentic AI, reasoning models, and robotics. The chipmaker introduced its highly anticipated Blackwell AI platform at last year’s GTC, which has successfully ramped up large-scale production, and made billions of dollars in sales in its first quarter, according to Huang.
Analysts at Bank of America said in a note on Wednesday that they expect Nvidia to present attractive albeit well-expected updates on Blackwell Ultra, with a focus on inferencing for reasoning models, which major firms such as OpenAI and Google are racing to develop.
The analysts also anticipate the chipmaker to share more information on its next-generation networking technology, and long-term opportunities in autonomous cars, physical AI such as robotics, and quantum computing.
In January, Nvidia announced that it would host its first Quantum Day at the GTC, and have executives from D-Wave and Rigetti discuss where quantum computing is headed. The company added that it will unveil quantum computing advances shortening the timeline to useful applications.
The same month, quantum computing stocks tanked after Huang expressed doubts over the technology’s near-term potential during the chipmaker’s financial analyst day at the Consumer Electronics Show, saying useful quantum computers are likely decades away.
In today’s AI news, all eyes will be on Nvidia’s GPU Technology Conference this week, where the company is expected to unveil its next AI chips. Nvidia CEO Jensen Huang said he will share more about the upcoming Blackwell Ultra AI chip, Vera Rubin platform, and plans for upcoming products at the annual conference, known as the GTC, during the company’s fourth quarter earnings call.
In other advancements, after decades of relying on Google’s ten blue links to find everything, consumers are quickly adapting to a completely new format: AI chatbots that do the searching for them. Adobe analyzed “more than 1 trillion visits to U.S. retail sites” through its analytics platform, and conducted a survey of “more than 5,000 U.S. respondents” to better understand how people are using AI.
Meanwhile, Barry Eggers, Co-Founder and Managing Partner at Lightspeed Venture Partners, is a luminary in the venture capital industry. As the AI landscape continues to evolve, Barry discusses the challenge of building defensible AI startups. Beyond just access to models, AI startups need differentiated data, network effects, and unique applications to maintain a competitive edge.
Re thinking of starting a new business and need advice on what to do, your first move should be turning to an AI chatbot tool. That t answer who won the Oscars last year? IBM Fellow, Martin Keen explains how RAG (Retrieval-Augmented Generation) and CAG (Cache-Augmented Generation) address knowledge gaps in AI. Discover their strengths in real-time retrieval, scalability, and efficient workflows for smarter AI systems. + s Gemini 2.0 about to revolutionize image generation and editing? In this video, Tim is diving deep into Google We close out with, Anthropic researchers Ethan Perez, Joe Benton, and Akbir Khan discuss AI control—an approach to managing the risks of advanced AI systems. They discuss real-world evaluations showing how humans struggle to detect deceptive AI, the three major threat models researchers are working to mitigate, and the overall idea of controlling highly-capable AI systems whose goals may differ from our own.
Thats all for today, but AI is moving fast — subscribe and follow for more Neural News.
(https://open.substack.com/pub/remunerationlabs/p/nvidia-is-a…Share=true)
Researchers at the University of Gothenburg have developed a novel Ising machine that utilizes surface acoustic waves as an effective carrier of dense information flow. This approach enables fast, energy-efficient solutions to complex optimization problems, offering a promising alternative to conventional computing methods based on von-Neumann architecture. The findings are published in the journal Communications Physics.
Traditional computers can stumble when tackling combinatorial optimization problems —tasks of scheduling logistic operations, financial portfolio optimization and high frequency trading, optimizing communication channels in complex wireless networks, or predicting how proteins fold among countless structural possibilities.
In these cases, each added node—an additional logistic hub, network user, or molecular bond causes the number of possible configurations to explode exponentially. In contrast to linear or polynomial growth, an exponential increase in the number of possible solutions makes even the most powerful computers and algorithms lack the computational power and memory to evaluate every scenario in search of vanishingly small subsets representing satisfactorily optimal solutions.
In this episode, Peter answers the hardest questions about AI, Longevity, and our future at an event in El Salvador (Padres y Hijos).
Recorded on February 2025
Views are my own thoughts; not Financial, Medical, or Legal Advice.
Chapters.
00:00 — Navigating Confusion in Leadership and Purpose.
02:00 — The Evolution of Work and Purpose.
03:50 — AI’s Role in Information Credibility.
07:17 — Sustainability and Technology’s Impact on Nature.
09:26 — Building a Future with AI and Longevity.
11:40 — The Economics of Longevity and Accessibility.
15:15 — Reimagining Education for the Future.
19:23 — Overcoming Human Obstacles to Progress.
I send weekly emails with the latest insights and trends on today’s and tomorrow’s exponential technologies. Stay ahead of the curve, and sign up now: https://www.diamandis.com/subscribe.
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Silicon Valley’s earliest stage companies are getting a major boost from artificial intelligence. Startup accelerator Y Combinator — known for backing Airbnb, Dropbox and Stripe — this week held its annual demo day in San Francisco, where founders pitched their startups to an auditorium of potential venture capital investors.
S not just the number one or two companies — the whole batch is growing 10% week on week, said Tan, who is also a Y Combinator alum. That App developers can now offload or automate more repetitive tasks, and they can generate new code using large language models. Tan called it vibe coding, a term for letting models take the wheel and generate software. In some cases, AI can code entire apps. The ability for AI to subsidize an otherwise heavy workload has allowed these companies to build with fewer people. For about a quarter of the current YC startups, 95% of their code was written by AI, Tan said.
T need a team of 50 or 100 engineers, said Tan, adding that companies are reaching as much as $10 million in revenue with teams of less than 10 people. You don [ https://open.substack.com/pub/remunerationlabs/p/y-combinato…Share=true](https://open.substack.com/pub/remunerationlabs/p/y-combinato…Share=true)
About 80% of the YC companies that presented this week were AI focused, with a handful of robotics and semiconductor startups.
With the anniversary of the first lockdown approaching, inflation and market volatility are now facts of financial life.
