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Internet standards body proposes new header field disclosing AI — will make it easier for machines to determine if AI was used on a site

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The Internet Engineering Task Force (IETF), the body responsible for the standards used across the web, has just released a draft document that will introduce a new header to make it easier to determine whether AI was used on a web page. According to the AI Content Disclosure Header draft, this proposed metadata will make it easier for machines to determine how AI is involved in the production of a particular site for easier automation, indexing, and compliance.

“The goal of AI-Disclosure is to offer a low-overhead, easily parsable signal primarily for automated systems like web crawlers, archiving tools, or user agents that may need a quick indication of AI usage without processing complex manifests,” the draft document said. “This header is intended to be applied at the entire response level.”

There is no standardized, machine-readable way to determine if artificial intelligence was used in the creation of a site. While there are some existing ways to warn the consumer that content is AI-generated — either through written disclaimers on the page or watermarks on the video or image — these can’t be easily detected by machines and apps.

Information on the header will include mode, which tells whether AI was used on the page; model, which identifies what AI model was used to generate or modify the content; provider, which tells you what organization the model originated from; reviewed-by, which indicates who reviewed the content; and date, which applies the date and time the content was generated.

Mode has four values:

Swipe to scroll horizontally

Mode Value

Description

none

AI was not used to create or modify the content on the page

ai-modified

The source material was created by humans but was modified by AI. Examples of this include spell check, style suggestions, summary generation

ai-originated

The content was initially generated by AI, but was subsequently edited or changed by humans. This means that the content was manually checked for accuracy, although its originality might still be put into question.

machine-generated

This suggests that the content is mostly generated by AI with little to no human intervention.

Aside from this, the header isn’t a secure field, so its contents may be modified by third parties or intermediaries. So, it shouldn’t be relied on for making security decisions. Nevertheless, the AI Content Disclosure Header is a quick and easy way for devices to determine the provenance of a particular page, helping machines know at a glance if the page they’re looking at has been touched by a machine or not.

Note that this is still in the draft stage — it’s not yet a standard, and adoption is purely voluntary. Still, if the internet body adopts this, it’s one more way we can determine if the content we’re looking at was created by people or sourced purely from AI.

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Best Artificial Intelligence (AI) Stock to Buy Now: Nvidia or Palantir?

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Palantir has outperformed Nvidia so far this year, but investors shouldn’t ignore the chipmaker’s valuation.

Artificial intelligence (AI) investing is a remarkably broad field, as there are numerous ways to profit from this trend. Two of the most popular are Nvidia (NVDA -1.55%) and Palantir (PLTR -0.58%), which represent two different sides of AI investing.

Nvidia is on the hardware side, while Palantir produces AI software. These are two lucrative fields to invest in, but is there a clear-cut winner? Let’s find out.

Image source: Getty Images.

Palantir’s business model is more sustainable

Nvidia manufactures graphics processing units (GPUs), which have become the preferred computing hardware for processing AI workloads. While Nvidia has made a ton of money selling GPUs, it’s not done yet. Nvidia expects the big four AI hyperscalers to spend around $600 billion in data center capital expenditures this year, but projects that global data center capital expenditures will increase to $3 trillion to $4 trillion by 2030. That’s a major spending boom, and Nvidia will reap a substantial amount of money from that rise.

However, Nvidia isn’t completely safe. Its GPUs could fall out of style with AI hyperscalers as they develop in-house AI processing chips that could steal some of Nvidia’s market share. Furthermore, if demand for computing equipment diminishes, Nvidia’s revenue streams could fall. That’s why a subscription model like Palantir is a better business over the long term.

Palantir develops AI software that can be described as “data in, insights out.” By using AI to process a ton of information rapidly, Palantir can provide real-time insights for what those with decision-making authority should do. Furthermore, it also gives developers the power to deploy AI agents, which can act autonomously within a business.

Palantir sells its software to commercial clients and government entities, and has gathered a sizable customer base, although that figure is rapidly expanding. As the AI boom continues, these customers will likely stick with Palantir because it’s incredibly difficult to move away from the software once it has been deployed. This means that after the AI spending boom is complete, Palantir will still be able to generate continuous revenue from its software subscriptions.

This gives Palantir a business advantage.

Nvidia is growing faster

Although Palantir’s revenue growth is accelerating, it’s still slower than Nvidia’s.

NVDA Revenue (Quarterly YoY Growth) Chart

NVDA Revenue (Quarterly YoY Growth) data by YCharts

This may invert sometime in the near future, but for now, Nvidia has the growth edge.

One item that could reaccelerate Nvidia’s growth is the return of its business in China. Nvidia is currently working on obtaining its export license for H20 chips. Once that is returned, the company could see a massive demand from another country that requires significant AI computing power. Even without a massive chunk of sales, Nvidia is still growing faster than Palantir, giving it the advantage here.

Nvidia is far cheaper than Palantir

With both companies growing at a similar rate, it would be logical to expect that they should trade within a similar valuation range. However, that’s not the case. Whether you analyze the stocks from a forward price-to-earnings (P/E) or price-to-sales (P/S) basis, Palantir’s stock is unbelievably expensive.

NVDA PE Ratio (Forward) Chart

NVDA PE Ratio (Forward) data by YCharts

From a P/S basis, Palantir is about 5 times more expensive than Nvidia. From a forward P/E basis, it’s about 6.5 times more expensive.

With these two growing at the same rate, this massive premium for Palantir’s stock doesn’t make a ton of sense. It will take years, or even a decade, at Palantir’s growth rate to bring its valuation down to a reasonable level; yet, Nvidia is already trading at that price point.

I think this gives Nvidia an unassailable advantage for investors, and I think it’s the far better buy right now, primarily due to valuation, as Palantir’s price has gotten out of control.

Keithen Drury has positions in Nvidia. The Motley Fool has positions in and recommends Nvidia and Palantir Technologies. The Motley Fool has a disclosure policy.



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Is AI the 4GL we’ve been waiting for? – InfoWorld

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Is AI the 4GL we’ve been waiting for?  InfoWorld



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CSI and HuLoop deliver AI-driven efficiency to banks

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Fintech, regtech, and cybersecurity vendor, CSI has teamed with HuLoop, a provider of an AI-powered, no-code automation platform, to help banks improve efficiency. The partnership will present CSI’s NuPoint Core Banking System to financial institutions, and is designed to help companies manage accounts, transactions, and other banking operations.

NuPoint customers will have access to HuLoop’s Work Intelligence platform, which is designed for community and regional banks. The solution is intended to help them address regulatory overheads and running costs.

Challenges in the sector include customer onboarding and document-based workloads that are prone to errors and can create approval bottlenecks. Employee fatigue from repetitive, low-value tasks in environments with strict compliance necessities can put strain on staff.

HuLoop’s approach combines humans and AI, where intelligent software agents oversee repetitive and mundane tasks. HuLoop’s Todd P. Michaud says, “Human-in-the-loop design ensures that automation enhances people’s work instead of replacing it. Community banks and credit unions are under pressure to grow without adding headcount at the same rate. By integrating HuLoop into CSI’s NuPoint ecosystem, we’re making it easier for institutions to deploy the power of AI automation quickly, securely, and in a regulator-friendly way.”

HuLoop’s no-code platform allows banks to streamline banking operations, unifying productivity discovery, process automation, workflow orchestration, document processing, and automated testing in lending and collection workflows.

Jeremy Hoard, EVP & Chief Banking Officer of Legends Bank, said “It’s helping us automate back-office tasks and improve operational efficiency, which allows our team to focus more on delivering exceptional service to our customers.”

The ultimate goal, according to Jason Young, vice president of product management at CSI, is to help banks get the most out of their core banking systems. “We’re extending NuPoint with proven AI-based automation capabilities that simplify operations […] and help institutions deliver exceptional service.”

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