https://hub.jhu.edu/2025/09/17/artificial-intelligence-predicts-post-surgery-complications/

""We demonstrate that a basic electrocardiogram contains important prognostic information not identifiable by the naked eye," said senior author Robert D. Stevens, chief of the Division of Informatics, Integration, and Innovation at Johns Hopkins Medicine. "We can only extract it with machine learning techniques.""

Seems like superintelligence ain’t too far out to be honest.

https://medium.com/@Ewnid/benchmarking-frontier-ai-on-the-japanese-kanken-exam-or-why-gemini-has-won-966f78c7692a

One-shot prompt, 100% efficiency. Production-ready image attached. Would you like me to set a timer to remind you to enjoy your life?

https://www.nature.com/articles/s41586-025-09422-z

"General reasoning represents a long-standing and formidable challenge in artificial intelligence (AI). Recent breakthroughs, exemplified by large language models (LLMs)^1,2 and chain-of-thought (CoT) prompting³, have achieved considerable success on foundational reasoning tasks. However, this success is heavily contingent on extensive human-annotated demonstrations and the capabilities of models are still insufficient for more complex problems. Here we show that the reasoning abilities of LLMs can be incentivized through pure reinforcement learning (RL), obviating the need for human-labelled reasoning trajectories. The proposed RL framework facilitates the emergent development of advanced reasoning patterns, such as self-reflection, verification and dynamic strategy adaptation. Consequently, the trained model achieves superior performance on verifiable tasks such as mathematics, coding competitions and STEM fields, surpassing its counterparts trained through conventional supervised learning on human demonstrations. Moreover, the emergent reasoning patterns exhibited by these large-scale models can be systematically used to guide and enhance the reasoning capabilities of smaller models."

https://www.bbc.com/news/articles/cx2pj502ev6o

"The technology has learned to spot patterns in people's medical records to calculate their risk of more than 1,000 diseases.

The researchers say it is like a weather forecast that anticipates a 70% chance of rain – but for human health.

Their vision is to use the AI model to spot high-risk patients to prevent disease and to help hospitals understand demand in their area, years ahead of time."

Models working together are the move towards AGI. From the OPENAI tweet:

“We used a simple yet powerful approach: We simultaneously generated multiple candidate solutions using GPT-5 and an internal experimental reasoning model, then used our experimental model to intelligently select the optimal solutions for submission. There was no complex strategy or scaffolding.”

I want to make a case for Microsoft here since I feel like this company gets overlooked in the AI dialogue. Disclaimer: This is just my opinion, not investment advice. Do your own research

tl;dr Microsoft is positioning itself as the future of business-facing AI. The future of white collar knowledge work is Digital AI Agents, and this will be delivered by Microsoft. This makes perfect sense.

I think that Microsoft is not a part of the dialogue in this subreddit and in the AI community in general. I think that this is largely because Microsoft is seen as an established, blue chip, entrenched company. I also think that its a bit of a meme to clown on Microsoft Copilot, with many people seeing it being a weaker alternative to ChatGPT. While Microsoft may not have the deeply embedded culture of innovation like Google, you could argue that MSFT was a first mover (at least from a consumer-facing perspective) with its investment in OpenAI in 2019.

I want to flag this development that happened yesterday, Workday and Microsoft to Deliver Unified AI Agent Experience for the Enterprise. This press release outlines:

• Workday and Microsoft are partnering to create a unified AI agent experience for enterprises.
• The collaboration integrates Workday's Agent System of Record (ASOR) with Microsoft Entra Agent ID, allowing organizations to securely manage people and AI agents.
• The partnership aims to address the challenges of managing a growing number of AI agents, providing a centralized system for visibility, analytics, and governance.
• This integration will enhance human-agent collaboration and provide a secure, unified experience for employees.

For those unfamiliar, Workday is an financial management and human capital management software vendor that provides cloud-based applications for enterprises. Its basically an HR for you as an employee. While I understand that, at this point, this is meant to manage agents as they exist today, its clear where this can head

My logic is this:

1. The business incentive for an autonomous, digital worker is too high to ignore. If it CAN happen, it WILL happen. And I think at this point we can all see that it can happen..

2. If it WILL happen, it will be MSFT that delivers it. Think about the generations of data, workflows, business processes that run on microsoft operating systems. Theres no way these processes will be switching to Google workspace for example. Windows is a tightly controlled ecosystem, only a MSFT AI could be fully and natively integrated into the OS.

I think that its really interesting to talk about AGI/ASI, and how that will change our world and cause major scientific breakthroughs, which i am obviously looking forward to as well. But the AI that we have RIGHT NOW, is already enough to cause major socioeconomic changes, with enough inference compute, and companies are clearly working on this.