The Massachusetts Institute report must have Execs C-Suite pottery instead.

Well, let’s now look at what the report already says. She conducted an interview with 150 executives, wiped 350 employees, and looked at 300 artificial intelligence projects. It found that 95 % of the experimental projects of artificial intelligence failed to provide any financial savings or financial lifting of profits. These results are not in fact everything that differs from what many previous investigative studies have found – and investigative studies had no negative impact on the stock market. Consulting company Capgemini In 2023 it was found that 88 % of the pilots of artificial intelligence failed to reach production. (S & P Global earlier this year found that 42 % of the Trucitite IQs were abandoned – which is still impressive).

You are doing it wrong

But when it is interesting is what Nanda’s study on the clear causes of these failures said. The report found that the biggest problem was, the models of artificial intelligence were not able to do so sufficiently (although Execs tend to do so. He thinks This was the problem.) Instead, the researchers discovered “the learning gap – people and institutions simply understood how to properly use artificial intelligence tools or how to design workflow that could capture the benefits of artificial intelligence while reducing negative risks.

Large language models look simple – you can give them instructions in a clear language, after all. But it takes experience and experimentation to include them in the business progress. Professor Wharton Ethan Malik suggested that the true benefits of the spontaneous organization will come when companies give up trying to obtain Amnesty International models to follow the current operations – in which he argues reflect bureaucracy and office policy more than anything else – and allow models simply to find their own way of producing the required business orders. (I think Maclik reduces the extent to which operations in many large companies are regulatory demands, but undoubtedly has a point in many cases.)

This phenomenon may also explain why the Massachusetts Institute’s research

Buy, do not build

The report also found that companies that bought artificial intelligence models and solutions were more successful than the institutions that tried to build their own systems. Artificial intelligence tools succeeded 67 % of the time, while only a third of the internal construction comes out. Some large organizations, especially in the organized industries, feel that they must build their own tools for legal reasons and data. But in some cases, the organizations control – when they are better to deliver hard work to the seller whose entire work is creating the artificial intelligence program.

Building AI models or systems from zero point requires a level of experience that many companies do not own and cannot employ them. This also means that companies build their artificial intelligence systems on Open Weight – and although the performance of these models may have improved significantly last year, most open source artificial intelligence models are still leaving their competitors. And when it comes to the use of artificial intelligence in actual business situations, the difference can lead 5 % in thinking capabilities or hallucinations to a great difference in the results.

Finally, the Massachusetts Institute report found that many companies publish artificial intelligence in marketing and sales, when tools have a much greater impact if used to take costs from rear processes and procedures. This may also contribute to the return on the missing investment in artificial intelligence.

The general trend of the Massachusetts Institute’s report was that the problem was not technology. The way companies used technology. But this is not how the stock market chose to explain the results. For me, this says more about the irrational abundance in the stock market more than what happens about the actual impact of artificial intelligence on work within five years.

However, here are the rest of the news of artificial intelligence.

Jeremy was
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Jeremyakahn

Our wealth

Why did the US Football Association format from Microsoft to play in the upcoming league– By John Keel

Openai president says Chatgpt “avoids” his own job – and says artificial intelligence is similar to the “iron man suit” for workers.“By Marco Kerez-Guterres.”

Meta wants to accelerate her race to “Supertelligence” – but investors will want to billions of advertising revenuesSharon Goldman

Amnesty International in News

China is moving to restrict NVIDIA H20 sales after Lutnick notes. This is according to a story in Financial times However, Beijing has found US Trade Minister Howard Lootnick that the United States was blocking its best technology from China to be “insulting”. CAC, an Internet organizer in China, issued an informal notice of major technology companies such as Beedance and Alibaba, asking them to stop new orders for NVIDIA H20S. The MIIT, the country’s communications and programs organizer, and NDRC, also issued a country planning agency that leads a technology independence campaign, also instructed companies not to buy NVIDIA chips. The agencies were killed by security anxiety as the logical basis for their position, but the Chinese officials whose name unveiled told the newspaper that Lootnick’s comments also played a role.

Deepseek launches a V3.1 model for enthusiastic reviews. The Chinese company Frontier Ai has released an updated V3 LLM Open Source Ai. V3.1 has a window of context larger than its predecessor, which means that it can handle longer claims and more data. It also uses a hybrid structure that activates only a small part of 685 billion parameters for each directed symbol, making it faster and more efficient than some competing models. It is also characterized by better thinking and capacity of the original V3 agent, which was the primary model Deepseek and then used to create a successful R1 success model. In standard tests so far, V3.1 is able to compete with Openai, Google, and Noteology at a much lower price – only one dollar for some coding tasks compared to $ 70 for competitors. Read more Bloomberg here.

Google reveals the latest pixel phones full of artificial intelligence features. Google unveiled its Pixel 10 Smartphone collection, which was highly focused on Gemini AI assistant. Phones have features such as “Magic Cue” that provide the following procedures proposed based on contextual information, AI, the camera coach for the most intelligent photography, and Gemini Live for actual time screen reactions. New Google’s new artificial intelligence features may allow some Apple market, which delayed the launch of many artificial intelligence features for their iPhone devices until 2026. You can read more CNBC here.

OpenAi is an Amnesty International Infrastructure. Openai Cfo Sara Friar Bloomberg said The company is studying Renting improved data centers and infrastructure for other companies in the future, similar to the Amams AWS- even though Openai is currently struggling to find the ability to adequate data center for its own operations. Fear also said that the company explores the financing options that exceed the debt because it faces enormous costs, as CEO Sam Altmann trillion dollars in spending expects at the future data center. The monk also confirmed in an interview With CNBC The company recently achieved one billion dollars in monthly revenues for the first time, while Bloomberg stated that secondary stock sales have valued the company for $ 500 billion.

You have a calendar

September 8-10: Fortune Brainstorm Tech, Park City, Utah. Apply to attendance here.

6-10 October: world Amnesty International The week, Amsterdam

October 21-22: Teddy San Francisco. Apply to attendance here.

2-7 December: NeuPIPs, San Diego

December 8-9: Wealth storm Amnesty International San Francisco. Apply to attendance here.

Eye on artificial intelligence numbers

100 %

This is Score Medical Ai Startup Openevideo says that the new artificial intelligence model that has been achieved in the USMLE (USMLE), and the three -part test must be all new doctors to take before they can train. This exceeds 90 % of his model, which he recorded two years ago in addition to 97 % that GPT-5 recorded from Openai recently. OpenVideo says its model provides conditions based on cases and literature, for its answers, and provides the start of the model for medical students as a free educational tool through a partnership with the American Medical Association, the magazine associated with it, and the New England magazine. You can read more fierce health care that focuses on healthcare here.