Showing posts with label AICommunity. Show all posts
Showing posts with label AICommunity. Show all posts

Tuesday, October 27, 2026

OpenAI Says Its AI Model Has Disproved The Exponential Time Hypothesis

Credit: Vitaly Gariev on Unsplash

Hundreds of computer science papers rest on a conjecture that an internal OpenAI model now claims to have refuted, the company said on Monday. OpenAI announced two more results the same day, one in mathematics and one in physics.In a blog post, OpenAI said the Exponential Time Hypothesis (ETH) has been “widely believed to be true”. The conjecture concerns how hard it is to solve Boolean satisfiability, a problem closely tied to P versus NP. Researchers have used it to show that problems in graph theory, computational biology, databases and other fields are hard to solve quickly………Continue reading…

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Source: The Next Web

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Critics:

As OpenAI is not publicly traded, purchasing its stock is not available to everyone. To buy the stock of a private company like OpenAI, you must be an accredited investor. If you meet the accreditation criteria, you can register for Forge’s Secondary Marketplace to buy private market stock.Microsoft invested $1 billion in OpenAI in 2019 and committed another $10 billion to the AI innovator in 2023.

Musk was an early investor in OpenAI, which was founded as a nonprofit in December 2015. OpenAI restructured and formed OpenAI LP, a for-profit entity in 2019. OpenAI and Microsoft announced a partnership that same year that involved a $1 billion investment.There is no direct method to invest in OpenAI Chat GPT stock. However, you may want to consider investing in artificial intelligence research stocks.

Look into companies that work with them, such as Google, Microsoft, or Nvidia. You cannot buy ChatGPT shares because of the corporation. It all began with Microsoft’s $1 billion investment in OpenAI in 2019 and ramped up with its $10 billion commitment in 2023, much of which is in the form of cloud compute purchases instead of cash.In a nutshell, ChatGPT-4 represents a leap forward in AI language models. 

Enhanced reasoning, captivating language, and advanced capabilities make it a worthwhile upgrade. While GPT-3 remains reliable for speed, GPT-4 is your go-to for top-tier performance. If you want to start investing in AI, there are two main paths: selecting individual stocks or opting for AI ETFs (exchange-traded funds). Whether you’re starting fresh or looking to deepen your investment, exploring these avenues can align you with the future of technology.

AI stocks are on a roll as investors have been reacting to signs that demand for the technology is at the start of a long period of growth. Since the beginning of 2023, AI-connected stocks have delivered 30% better returns than both U.S. and global indexes. NVDA is the best-performing AI stock over the past year. Earnings per share, or EPS, had a big leap higher in 2023, and analysts project strong EPS growth going forward. It has the highest forecasted 5-year EPS growth on the list.

OpenAI is a privately held company. This means only accredited and institutional investors can invest in the company before its IPO. Investors seeking exposure to OpenAI can invest indirectly via venture funds and investment syndicates, or purchase shares directly on pre-IPO marketplaces like Hiive. The OpenAI ownership pie is divided between Microsoft (49%), other stakeholders (49%)

The original OpenAI non-profit foundation, which staunchly preserves its autonomy as the leading firm continues to write OpenAI history. Other OpenAI shareholders include a16z, Sequoia, Tigers Global, and Founders Fund. Microsoft is entitled to up to 49 percent of the for-profit arm of OpenAI’s profits, according to reports. But that’s not the same as 49% ownership. 

That investment does not result in Microsoft owning part of OpenAI, which is now clearer following an update to the OpenAI website and clarification from the company. Microsoft doesn’t own ChatGPT nor the company OpenAI which is founded by Chatgpt’s CEO Sam Altman. but the both companies have been partnered commercially since 2016 so Microsoft continues to be the company’s largest investor.

Open AI does not have a publicly available stock price because it is privately held and not traded on public stock exchanges. Through the Tape D™ database from Nasdaq Private Market, you can view Open AI share price and other valuable private market data.You can’t buy OpenAI stock — but you can invest in one of its partners. Investors may find it valuable to keep up with OpenAI news. 

When will OpenAI go public? OpenAI stock is not currently publicly traded and as of early July 2024, there are no plans for an OpenAI IPO on the horizon. For now, investors can gain exposure through related tech companies discussed here. Microsoft has been a massive fund provider and technology partner for OpenAI. In 2019, Microsoft invested $1 billion and an additional $10 billion in 2023.

Beyond the financial investment, Microsoft also powers OpenAI’s process by providing the essential computing infrastructure for research and programming. It’s captured the general public’s attention and piqued the interest of tech giants such as Elon Musk and Microsoft. ChatGPT is shocking because it can answer complex questions and produce information as a human would.

Its limitations are hard to understand, and its implications are tangible for most of us. OpenAI is not just another tech behemoth. It is a set of entities constructed to advance the legal purposes of a nonprofit, tax-exempt charitable corporation. The nonprofit and its tax-exempt charitable purposes, rather than Altman, should have been the star of the show.

Chat GPT is owned by OpenAI LP, an artificial intelligence research lab consisting of the for-profit OpenAI LP and its parent company, the non-profit OpenAI Inc.

OpenAI‘s Altman pitches ChatGPT version to big businesses | REUTERS Reuters – YouTube 00:07 

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Wednesday, August 26, 2026

Agentic AI Has Companies Excited and Security Experts Freaked Out

Agentic AI has companies excited—and security experts freaked out

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Agentic AI is being heralded as the future of the generative AI revolution by leaders in the field. From ChatGPT’s integration of agentic features to the rise of Comet (the agent-based web browser from Perplexity) and Chinese-born Manus, the trend of handing more control to AI tools seems inevitable. At least, that’s the view of Microsoft CEO Satya Nadella, Shopify CEO Tobias Lütke, Amazon executive chairman Jeff Bezos, and Nvidia CEO Jensen Huang…….Continue reading….

By: Chris Stokel-Walker

Source: Fast Company

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Critics:

Agentic AI is a class of artificial intelligence that focuses on autonomous systems that can make decisions and perform tasks without human intervention. The independent systems automatically respond to conditions, to produce process results. The field is closely linked to agentic automation, also known as agent-based process management systems, when applied to process automation.

Applications include software development, customer support, cybersecurity and business intelligence. The core concept of agentic AI is the use of AI agents to perform automated tasks but without human intervention. While robotic process automation (RPA) and AI agents can be programmed to automate specific tasks or support rule-based decisions, the rules are usually fixed. Agentic AI operates independently, making decisions through continuous learning and analysis of external data and complex data sets.

Functioning agents can require various AI techniques, such as natural language processing, machine learning (ML), and computer vision, depending on the environment. Particularly, reinforcement learning (RL) is essential in assisting agentic AI in making self-directed choices by supporting agents in learning best actions through the trial-and-error method. Agents using RL continuously to explore their surroundings will be given rewards or punishment for their actions, which refines their decision-making capability over time.

All the while deep learning, as opposed to rule-based methods, supports agentic AI through multi-layered neural networks to learn features from extensive and complex sets of data. Further, multimodal learning enable AI agents to integrate various types of information, such as text, images, audio and video. As a result, agentic AI systems are capable of making independent decisions, interacting with their environment and optimising processes without a human directly intervening.

AI agents can be used to perform small tedious tasks during web browsing and potentially even perform browser actions on behalf of the user. Products like OpenAI Operator, Perplexity Comet and Dia (from The Browser Company) integrate a spectrum of AI capabilities including the ability to browse the web, interact with websites and perform actions on behalf of the user. In 2025, Microsoft launched NLWeb, a agentic web search replacement that would allow websites to use agents to query content from websites by using RSS-like interfaces that allow for the lookup and semantic retrieval of content.

Products integrating agentic web capabilities have been criticised for exfiltrating information about their users to third-party servers and exposing security issues since the way the agents communicate often occur through non-standard protocols. In 2025, MIT’s study revealed that about 95% of enterprise generative-AI pilots fail to deliver measurable P&L impact[22]; a failure rate in business outcomes.

The report titled “The GenAI Divide: State of AI in Business 2025,” based on 150 executive interviews, a survey of 350 employees, and analysis of 300 deployments, and it attributes the failures largely to integration issues. The MIT NANDA report finds only about 5% of corporate generative-AI pilots are achieving rapid revenue acceleration, with the vast majority showing little to no impact on profit and loss statements.

It also notes a mismatch in spending (heavy on sales/marketing tools versus higher ROI in back-office automation) and highlights “shadow AI” usage complicating measurement and governance. One of the first reason on study was about “integration gap”, that chatbot does not find enough time to deploy themselves and adopt the workflow environment, leading to little to no measurable impact. Over half of budgets go to sales/marketing tools, while bigger returns often lie in back-office automation that reduces outsourcing and agency costs.

Study also notes that while building internal tools is possible, parternership with external agency is often more profitable than not. The study explicitly reports that external partnerships have about twice the success rate of internal builds (~67% vs ~33%), often yielding faster time-to-value and lower total cost, so buying/partnering can be more profitable than building in-house given today’s high failure rates.

With roughly 95% of enterprise GenAI efforts failing to reach measurable P&L impact, failed internal tools represent a significant sunk cost risk compared with proven vendor solutions that integrate and learn within workflows. For example, building your own AI tool that may not work as expected can result in loss than to buy an externel tool that perform the tasks more easily, resulting in profit.

Japanese dailies Nikkei, Asahi sue US AI firm over copyright infringement
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