Gen-Zers are opting for a more entrepreneurial approach to their careers. And this, writes Intuit, represents “a material shift in how younger generations approach work, purpose, and financial independence.” Gen-Zers and Millennials have a strong desire to be their own boss, according to the survey. Nearly half of the 1,000 people Intuit spoke with said they wanted to be in charge of their own destiny. Another 42 percent said they were pursuing their passions with these side gigs. The flexibility of these jobs and the chance to build something personal and unique were also key motivators. Gen Zers’ status as digital natives, the first generation to grow up with the internet as a part of daily life, is a big part of the embrace of side gigs as well. Some 80 percent of Gen-Z business owners started their businesses online or had a mobile component.
Saturday, January 04, 2025
OpenAI Unveils o3! AGI ACHIEVED! - Matt Berman, YouTube
OpenAI has just announced its next generation AI model, o3, with impressive capabilities exceeding current models in coding, math, and reasoning benchmarks. o3 achieves a 71.7% accuracy rate on the Sweet Bench coding benchmark, significantly outperforming its predecessor, o1. It also excels in competition math, achieving a near-perfect score of 96.7% and surpasses human performance on the Arc AGI benchmark with a score of 87.5%. These achievements suggest that o3 is approaching the definition of AGI, as it outperforms humans in most economically valuable work. The announcement also included o3 mini, a more cost-effective version with impressive performance and faster response times. Both models will be available for public safety testing, with researchers invited to apply for early access. OpenAI emphasizes the importance of external safety testing and encourages researchers to explore the models' capabilities and potential risks.
Friday, January 03, 2025
AGI ACHIEVED | OpenAI Drops the BOMBSHELL that ARC AGI is beat by the o3 model - Wes Roth, YouTube
On December 20, 2024, OpenAI announced that it had achieved artificial general intelligence (AGI) with its latest model, o3. This was a major milestone in the field of AI, and it has been met with a mix of excitement and apprehension. o3 was able to achieve AGI by exceeding the 85% threshold on the Arc AGI test. This test is designed to measure a model's ability to generalize to new tasks and solve problems that are easy for humans but difficult for AI. o3 was able to achieve this by using a new paradigm of reinforcement learning on Chain of Thought to scale inference compute. This allowed it to use more resources to think about the questions and come up with the correct answers. Some people believe that o3's achievement is a major breakthrough that will lead to a new era of AI innovation. Others are more cautious, arguing that o3 is still not truly intelligent and that its performance on the Arc AGI test is not representative of its overall capabilities. (summary developed by Gemini 1.5 GenAI)
OpenAI SECRET Project "JAWBONE" | The Agentic Rollout Begins? - Wes Roth, YouTube
OpenAI is working on a new feature called "Tasks" (codenamed "Jawbone") that allows users to schedule prompts for later execution by ChatGPT. This feature, potentially will let users automate tasks like receiving daily AI news summaries or reminders for house chores. Imagine the possibilities for course management, updating course content, creating This is seen as a first step towards AI agents that can handle more complex, long-term tasks with minimal supervision. Google's Gemini is also developing a similar feature, highlighting the growing competition in the AI space. The ultimate vision for these AI agents is to evolve into intelligent assistants that understand our lives, have access to our data, and can act on our behalf, like a "super-smart senior coworker." This could revolutionize various aspects of life, from job searching to personal coaching, by automating tasks and providing insights beyond human capability. However, the pricing of these services will significantly impact their adoption rate and the potential displacement of human workers.
Thursday, January 02, 2025
OpenAI's NEW Statement Has Everyone WORRIED | $2,000 per month to "replace" humans! - Wes Roth, YouTube
OpenAI's potential $2,000 monthly subscription for its AI product has sparked concerns about job displacement. The product, essentially an AI Agent-scale device, boasting PhD-level intelligence, could replace human workers in various fields, leading to significant cost savings for companies. This raises questions about the future of work and the potential for widespread unemployment as AI technology advances. However, there are also optimistic perspectives. Sam Altman, CEO of OpenAI, believes AGI (Artificial General Intelligence) will initially have a less dramatic impact than feared, giving society time to adapt. He envisions a future where AI-driven automation drastically reduces the cost of goods and services, potentially leading to a world where basic needs are met for everyone, and work becomes optional. This "Moore's Law for everything" scenario hinges on the ability of AI to dramatically lower production costs and the willingness of society to embrace this change. (summary assisted with Gemini 1.5)
See how Google Gemini 2.0 Flash can perform hours of business analysis in minutes - Louis Columbus, Venture Beat
Google’s newly released Gemini 2.0 Flash provides business analysts with greater speed and flexibility in defining Python scripts for complex analysis, giving analysts more precise control over the results they generate. Google claims that Gemini 2.0 Flash builds on the success of 1.5 Flash, its most adopted model yet for developers.
Wednesday, January 01, 2025
Microsoft’s smaller AI model beats the big guys: Meet Phi-4, the efficiency king - Michael Nuñez, Venture Beat
The implications for enterprise computing are significant. Current large language models (LLMs) require extensive computational resources, driving up costs and energy consumption for businesses deploying AI solutions. Phi-4’s efficiency could dramatically reduce these overhead costs, making sophisticated AI capabilities more accessible to mid-sized companies and organizations with limited computing budgets. This development comes at a critical moment for enterprise AI adoption. Many organizations have hesitated to fully embrace LLMs due to their resource requirements and operational costs. A more efficient model that maintains or exceeds current capabilities could accelerate AI integration across industries.
Why Google's quantum breakthrough is 'truly remarkable' - and what happens next - Tiernan Ray, ZD Net
Google's quantum computing scientists this month demonstrated a breakthrough in the field that reinforces the sense that quantum computing is for real and will be able to find its place among other kinds of computers as a valuable resource. But much remains to be done: Google's latest quantum chip -- called Willow and fabricated in its Santa Barbara research facility -- is a memory chip. It doesn't actually process any functions, it simply stores a bit to be read. Doing anything with it will involve the long work of developing logical circuits to make use of the "qubits" that make up the chip. The fundamental breakthrough, as explained in Nature magazine (which published Google's early-release research paper), is to show that the errors of qubits can be reduced below a level of noise called a threshold and -- as that happens -- the machine can reliably represent information --that is, represent it with a tolerable level of error.
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