Similar to social media bots that shape public opinion, healthcare and financial decisions, LLM-based ChatBots like ChatGPT can persuade users to alter their behavior. Unlike prior work that persuades via overt-partisan bias or misinformation, we test whether framing alone suffices. We conducted a crowdsourced study, where 336 participants interacted with a neutral or one of two value-framed ChatBots while deciding to alter US defense spending. In this single policy domain with controlled content, participants exposed to value-framed ChatBots significantly changed their budget choices relative to the neutral control. When the frame misaligned with their values, some participants reinforced their original preference, revealing a potentially replicable backfire effect, originally considered rare in the literature. These findings suggest that value-framing alone lowers the barrier for manipulative uses of LLMs, revealing risks distinct from overt bias or misinformation, and clarifying risks to countering misinformation.

The paper considers the use of GPT models with retrieval-augmented generation (RAG) for qualitative and quantitative analytics on NATO sentiments, NATO unity and NATO Article 5 trust opinion scores in different web sources: news sites found via Google Search API, Youtube videos with comments, and Reddit discussions. A RAG approach using GPT-4.1 model was applied to analyse news where NATO related topics were discussed. Two levels of RAG analytics were used: on the first level, the GPT model generates qualitative news summaries and quantitative opinion scores using zero-shot prompts; on the second level, the GPT model generates the summary of news summaries. Quantitative news opinion scores generated by the GPT model were analysed using Bayesian regression to get trend lines. The distributions found for the regression parameters make it possible to analyse an uncertainty in specified news opinion score trends. Obtained results show a downward trend for analysed scores of opinion related to NATO unity. This approach does not aim to conduct real political analysis; rather, it consider AI based approaches which can be used for further analytics as a part of a complex analytical approach. The obtained results demonstrate that the use of GPT models for news analysis can give informative qualitative and quantitative analytics, providing important insights. The dynamic model based on neural ordinary differential equations was considered for modelling public opinions. This approach makes it possible to analyse different scenarios for evolving public opinions.

The Chinese Communist Party is a geopolitical cancer that will metastasize unless America can contain it with a once-in-a-generation investment in our national defense. Already, the CCP is actively colluding with Russia, prolonging Putin's war against Ukraine by blunting the impact of Western sanctions; it reaffirmed its support for Iran even after the deadly Oct. 7 attacks against Israel; and it has an explicit defense treaty with Kim Jung Un's North Korean dictatorship. To make matters even more dire, Chinese President Xi Jinping has instructed his People's Liberation Army to be ready to invade Taiwan by 2027. Chinese President Xi Jinping has instructed his People's Liberation Army to be ready to invade Taiwan by 2027. As George Washington counseled Congress in the nation's first ever inaugural address, "to be prepared for war is the most effectual means of preserving the peace."

The drone, loaded with explosives, crashed without exploding, crashing its nose into its stomach like a dead fish, twisting its rear propeller and crashing or firing. Initially overthrown by Ukrainian forces. The image of the plane quickly spread on social media, and armament experts have identified it as the "KUB-BLA" model produced by Russian arms manufacturer Kalashnikov's drone division "Sala Aero", colloquially known as the "Comics Drone". It can fly spontaneously to a specific area and then hover around it for up to 30 minutes before exploding itself, like a suicide bomber does. The most advanced Comicase suicide planes today belong to the category of weapons known as automatic weapons, and are considered by experts to be the third revolution in the world of war after gunpowder and nuclear weapons. The evolution from landmines to guided missiles was a precursor to true AI-powered autonomy.

The UK has announced a massive boost in defense spending -- £16.5 billion ($21.8BN) over four years, the biggest such spending bump for 30 years -- in what prime minister Boris Johnson has described as a "once in a generation modernization" of the UK's armed forces and "the end of the era of retreat" on funding for defense. Overall the UK prime minister said the spending hike will create 40,000 jobs, adding that it will cement the country's position as the biggest military defense spender in Europe and the second largest in NATO after the US. Johnson said the focus for investment will be on cutting edge technologies that can "revolutionize" warfare -- implying a major role for artificial intelligence and sensor-laden connected hardware in "forging our military assets into a single network designed to overcome the enemy", as he put it in a statement to parliament, setting out the first conclusions from an the (ongoing) review of security, defense, development and foreign policy. "A soldier in hostile territory will be alerted to a distant ambush by sensors or satellites or drones instantly transmitting a warning using artificial intelligence to device the optimal response and offering an array of options -- from summoning an air strike to ordering a swarm attack by drones, or paralyzing the enemy with cyber weapons," Johnson told the House of Commons today, speaking via video conference as he continues to self isolate following a coronavirus contact. "New advances will surmount the old limits of logistics," he went on, fleshing out the rational for spending on upgrading military technology.

Investments in cybersecurity and artificial intelligence efforts will likely continue to increase as overall defense spending remains flat in future years, but a worsening pandemic could dampen those projections, according to new analysis from the Professional Services Council's latest research on federal budgets. The Defense Department is largely expected to keep pace with current budget levels, potentially seeing very modest 2% growth to topline budgets, PSC's report projects. That trend could also extend to IT modernization efforts. Senate Appropriators weighed in today on 2021 spending, proposing a $696 billion defense budget, slightly above 2020 levels and slightly below the Trump administration's funding request. The House passed their funding bill in July at $694.6 billion.

The White House released a budget proposal this week that at first glance, looks like a big win for the fields of artificial intelligence and machine learning. The budget for fiscal year 2021 (which begins in October) would ramp up spending for AI research at DARPA (the Pentagon's research arm) and the National Science Foundation by roughly $549 million. The budget request, which still needs to be approved by Congress, increases AI funding from $50 million to $249 million at DARPA, and from $500 million to $850 million at NSF. But while technologists applaud the increased investment in AI, the White House budget proposal is giving many in the science community pause. Overall, the budget proposes $142.2 billion in spending for research and development, a 9% cut from current levels.

The U.S. Army Artificial Intelligence (AI) Task Force was inaugurated when Commander General John Murray applied the U.S. Army Futures Command (AFC) patch to the left arm of Brigadier General Matthew Easley's uniform with a hearty slap. Easley is now officially in charge of the new taskforce. In close collaboration with Carnegie Mellon University (CMU), the U.S. Army has also established the first AI Hub to be located in Pittsburgh, Pennsylvania and Carnegie Mellon's National Robotics Engineering Center. A key role of the AI Hub will be to increase collaboration with ANSYS and other academic, industry and government agency partners. The Army AI Taskforce will be focused on developing and prototyping AI capabilities for several critical areas of the Army -- including an on-going project focused on predictive maintenance.