Secqai, a company specializing in ultra-secure hardware and software, has launched a hybrid quantum large-language model (QLLM). The QLLM aims to enhance AI applications by integrating quantum computing with traditional large language models (LLMs) to improve computational efficiency while enhancing problem-solving and linguistic understanding capabilities. The new model, which the company said is a world first, resulted from Secqai's research into how the next generation of accelerated computing could be transformed with a QLLM and quantum machine learning.
Friday, February 21, 2025
Superagency: The transformative potential of AI - McKinsey
There’s a critical difference between AI and AGI [artificial general intelligence]. Although the latest gen AI technologies, including ChatGPT, DALL-E, and others, have been hogging headlines, they are essentially prediction machines—albeit very good ones. In other words, they can predict, with a high degree of accuracy, the answer to a specific prompt because they’ve been trained on huge amounts of data. This is impressive, but it’s not at a human level of performance in terms of creativity, logical reasoning, sensory perception, and other capabilities. By contrast, AGI tools could feature cognitive and emotional abilities—like empathy—indistinguishable from those of a human.
Thursday, February 20, 2025
SUPERHUMAN Coder in 2025? New OpenAI Paper... - Wes Roth, YouTube
This podcast by Wes Roth discusses OpenAI's research paper on competitive programming using large reasoning models (LRMs). It highlights the use of reinforcement learning to improve large language models for complex coding and reasoning tasks. The podcast introduces models like 01, 03, and 01 II, which have shown strong performance in competitive programming benchmarks such as the International Olympiad in Informatics and Codeforces. It explores the progress from AlphaCode to the advanced 03 model, which is nearing superhuman coding abilities. The discussion also considers the broader implications of AI in software engineering and the job market, and compares domain-specific models with general-purpose models, suggesting that scaled-up, general models with reinforcement learning are more promising for advanced [approaching superhuman] AI in reasoning. (summary provided by Gemini 2.0 Flash Thinking Experimental with reasoning across Google apps)
Groundbreaking BBC research shows issues with over half the answers from Artificial Intelligence (AI) assistants
Wednesday, February 19, 2025
Thinking Out Loud With AI - Ray Schroeder Inside Higher Ed
I had the pleasure recently to participate in a lifelong learning session with a group of mostly current or retired educators at my nearby Lincoln Land Community College. The topic was AI in education. It became clear to me that many in our field are challenged to keep up with the rapidly emerging developments in AI. While OpenAI's latest version of Deep Research is not available to the general public at this time, online demonstrations show that this very powerful tool conducts both reasoning and far-reaching analysis. It puts us on the cusp of artificial general intelligence. In addition, with the advent of new competitors both here and abroad, we are seeing new options for open-source models and alternative approaches. As these become more efficient and reliable, prices are headed lower while features continue to expand. The vision of AGI seems only months, not years, away. How are these highly advanced tools going to be used by your university to enhance teaching, learning, research and other mission-centric tasks?
A new operating model for people management: More personal, more tech, more human - McKinsey
Tuesday, February 18, 2025
Does OpenAI's Deep Research signal the end of human-only scholarship? - Andrew Maynard, The Future of Being Human
This past Sunday, OpenAI launched Deep Research — an extension of its growing platform of AI tools, and one which the company claims is an “agent that can do work for you independently … at the level of a research analyst.” I got access to the new tool first thing yesterday morning, and immediately put it to work on a project I’ve been meaning to explore for some time: writing a comprehensive framing paper on navigating advanced technology transitions. I’m not quite sure what I was expecting, but I didn’t anticipate being impressed as much as I was. I’m well aware of the debates and discussions around whether current advances in AI are substantial, or merely smoke and mirrors hype. But even given the questions and limitations here, I find myself beginning to question the value of human-only scholarship in the emerging age of AI. And my experiences with Deep Research have only enhanced this.
GPT-5 Will Be Smarter Than Me: OpenAI CEO Sam Altman - Office Chai
OpenAI CEO Sam Altman has said that GPT-5 — the company’s upcoming large language model — will be smarter than he is. “How many people feel they are smarter than GPT 4? ” he asked the audience at an event, and several hands went up. “Okay, how many of you think you’re still going to be smarter than GPT 5?” he asked, and slightly fewer hands went up. “I don’t think I’m going to be smarter than GPT 5,” Altman declared.
Monday, February 17, 2025
Google Rolls Back AI Promises and DEI Measures as Staff Ask, ‘Are We the Bad Guys Now?’ - Kit Eaton, Inc.
OpenAI now reveals more of its o3-mini model’s thought process - Kyle Wiggers, Tech Crunch
Sunday, February 16, 2025
Exploring the use of ChatGPT in higher education - PLOS, Techexplorist
ChatGPT Search is now free for everyone, no OpenAI account required – is it time to ditch Google? - John-Anthony Disotto, Tech Radar
Saturday, February 15, 2025
ChatGPT's Deep Research just identified 20 jobs it will replace. Is yours on the list? - Sabrina Ortiz, ZDnet
Min Choi, an X user whose account is dedicated to sharing informational AI content, asked Deep Research to "List 20 jobs that OpenAI o3 reasoning model will replace huma n with into a table format ordered by probability. Columns are Rank, Job, Why Better Than Human, Probability." Choi then shared the results of the chat via an X post, which has since garnered 984,000 views:
https://chatgpt.com/share/67a17688-7dbc-8013-b843-9812b97b6c83
A new operating model for people management: More personal, more tech, more human - McKinsey
The way organizations manage their most important assets—their people—is ready for a fundamental transformation. New technologies, hybrid working practices, multigenerational workforces, heightened geopolitical risks, and other major disruptions are prompting leaders to rethink their methods for attracting, developing, and retaining employees. In the past year alone, for instance, we have seen more and more companies adopt, innovate, and invest in technology—particularly in gen AI—in ways that have spurred more changes to people operations than we have observed in the past decade.
The Industry Reacts to OpenAI's Deep Research - "Hard Takeoff" - Matthew Berman, YouTube
Matthew Berman responds to the release of OpenAI's "Deep Research." Generalized PhD: Deep Research's performance on STEM benchmarks surpasses that of human PhDs, demonstrating the potential for AI to outperform humans in specialized fields. Economic Impact: Sam Altman, CEO of OpenAI, estimates that Deep Research can already accomplish a single-digit percentage of all economically valuable tasks in the world. Game Changer for Research: Deep Research is being used in various fields, including medicine, to assist with research, publishing, and even patient care. Google's Response: Google employees have expressed surprise and amusement at OpenAI's decision to name their product Deep Research, which is the same name as Google's research product. Overall, the podcast conveys a sense of excitement and urgency about the rapid advancements in AI and the potential impact on society. Berman emphasizes the importance of understanding and adapting to these changes as AI continues to evolve. (summary provided in part by Gemini 2.0)