Before boarding Marine One on Tuesday afternoon, President Trump challenged two progressive Democrat congresswomen to an intelligence test. President Donald Trump lobbed a signature zinger on Tuesday as he paused to speak with reporters before boarding Marine One en route to an artificial intelligence summit. "[Alexandria Ocasio-Cortez], look, I think she's very nice, but she's very low IQ, and we really don't need low IQ," Trump said, smiling as cameras rolled. He added, "Between her and Crockett, we're going to give them both an IQ test to see who comes out best." TRUMP DARES AOC TO TRY TO IMPEACH HIM: 'MAKE MY DAY' President Donald Trump said AOC and Jasmine Crockett should take IQ tests.

Rep. Al Green, D-Texas, was removed from President Donald Trump's speech to a joint session of Congress after disrupting the event. EXCLUSIVE: President Donald Trump told Fox News Digital Thursday that Rep. Al Green "should be forced to pass an IQ test because he is a low IQ individual and we don't need low IQ individuals in Congress," after the Democrat disrupted his joint session address. The House of Representatives Thursday, in a bipartisan vote, censured Green, D-Texas, for interrupting the president's Tuesday joint session address to Congress. President Donald Trump attends a joint session of Congress at the U.S. Capitol in Washington, D.C., March 4, 2025. In an exclusive interview with Fox News Digital, the president reacted.

Human intelligence scores are dropping across the US for the first time, research suggests, and experts warn technology could be to blame. IQ exams were first introduced in 1905, and throughout the century, there was a 30-point increase based on scores in logic, vocabulary, spatial reasoning and visual and mathematical problem-solving skills. The average IQ score in the US currently stands at 98 but varies by a gap of about eight points between states, with New Hampshire ranking first with an average IQ of 103.2. More research needs to be conducted to determine why IQ scores are falling across the country, but one expert speculated that a drop in reading and an increase in media entertainment, like YouTube, is at fault. There are also concerns that phones degrade our memory and recall because there is less need to store information with Google at our finger tips.

This story about intelligence testing in schools was produced by the Hechinger Report, a nonprofit, independent news organization focused on inequality and innovation in education. Even before her son started kindergarten, Ashley Meier Barlow realized that she might have to fight for his education. Her son has Down syndrome; when he was in prekindergarten, school officials in Fort Thomas, Kentucky, told Barlow that he wouldn't be going to the neighborhood school, with some special education accommodations, as she had assumed. Instead, the educators told Barlow that they wanted her son to attend a classroom across town meant for children who are profoundly impacted by their disabilities. Barlow immediately resisted because she knew the curriculum would likely focus on life skills, and her son might never be taught much reading beyond learning the shape of common, functional words like stop and exit.

Creating controlled methods to simulate neurodegeneration in artificial intelligence (AI) is crucial for applications that emulate brain function decline and cognitive disorders. We use IQ tests performed by Large Language Models (LLMs) and, more specifically, the LLaMA 2 to introduce the concept of ``neural erosion." This deliberate erosion involves ablating synapses or neurons, or adding Gaussian noise during or after training, resulting in a controlled progressive decline in the LLMs' performance. We are able to describe the neurodegeneration in the IQ tests and show that the LLM first loses its mathematical abilities and then its linguistic abilities, while further losing its ability to understand the questions. To the best of our knowledge, this is the first work that models neurodegeneration with text data, compared to other works that operate in the computer vision domain. Finally, we draw similarities between our study and cognitive decline clinical studies involving test subjects. We find that with the application of neurodegenerative methods, LLMs lose abstract thinking abilities, followed by mathematical degradation, and ultimately, a loss in linguistic ability, responding to prompts incoherently. These findings are in accordance with human studies.

Swarm Intelligence (SI) is a natural phenomenon that enables biological groups to amplify their combined intellect by forming real-time systems. Artificial Swarm Intelligence (or Swarm AI) is a technology that enables networked human groups to amplify their combined intelligence by forming similar systems. In the past, swarm-based methods were constrained to narrowly defined tasks like probabilistic forecasting and multiple-choice decision making. A new technology called Conversational Swarm Intelligence (CSI) was developed in 2023 that amplifies the decision-making accuracy of networked human groups through natural conversational deliberations. The current study evaluated the ability of real-time groups using a CSI platform to take a common IQ test known as Raven's Advanced Progressive Matrices (RAPM). First, a baseline group of participants took the Raven's IQ test by traditional survey. This group averaged 45.6% correct. Then, groups of approximately 35 individuals answered IQ test questions together using a CSI platform called Thinkscape. These groups averaged 80.5% correct. This places the CSI groups in the 97th percentile of IQ test-takers and corresponds to an effective IQ increase of 28 points (p<0.001). This is an encouraging result and suggests that CSI is a powerful method for enabling conversational collective intelligence in large, networked groups. In addition, because CSI is scalable across groups of potentially any size, this technology may provide a viable pathway to building a Collective Superintelligence.

The resolution of intelligence tests, in particular numerical sequences, has been of great interest in the evaluation of AI systems. We present a new computational model called KitBit that uses a reduced set of algorithms and their combinations to build a predictive model that finds the underlying pattern in numerical sequences, such as those included in IQ tests and others of much greater complexity. We present the fundamentals of the model and its application in different cases. First, the system is tested on a set of number series used in IQ tests collected from various sources. Next, our model is successfully applied on the sequences used to evaluate the models reported in the literature. In both cases, the system is capable of solving these types of problems in less than a second using standard computing power. Finally, KitBit's algorithms have been applied for the first time to the complete set of entire sequences of the well-known OEIS database. We find a pattern in the form of a list of algorithms and predict the following terms in the largest number of series to date. These results demonstrate the potential of KitBit to solve complex problems that could be represented numerically.

It is a robot researcher with good communication skills; you can ask it to answer questions about various areas of knowledge and it will write short documents in various formats and in excellent English. Or write bad poetry, incomprehensible jokes, and obey a command like "Write Tetris in C." What comes out looks like it could be, too. Coders love that sort of thing, and have been stuffing Stack Overflow's dev query boards with generated snippets. Just one problem – the quality of the code is bad. So bad, Stack Overflow has screamed "STOP!" and is mulling general guidelines to stop it happening again.

Are you smarter than artificial intelligence? A new study finds one revolutionary program is putting human intellect to shame. Researchers from UCLA have found that the autoregressive language model Generative Pre-trained Transformer 3 (GPT-3) clearly outperforms the average college student in a series of reasoning tests that measure intelligence. The program uses deep learning to produce human-like text. GPT-3, a technology created by OpenAI, has a host of applications, including language translation and generating text for applications such as chatbots.

Artificial intelligence (AI) has the potential to surpass human intelligence (HI) in the near future. Despite huge advances in technology, artificial intelligence is still far from complete. Human intelligence aims to learn from experience and adapt to new environments via different cognitive processes, while artificial Intelligence (AI) aims to mimic and surpass human actions and behaviour. Human intelligence is measured by either a group or individually administered test. It only takes a few minutes after meeting someone for most of us to judge how smart, competent, or quick-witted we think they are.