Nine people have been killed and dozens more wounded in a Russian attack on the western city of Ternopil, Ukraine's president Volodymyr Zelensky has said. Nine-storey blocks of flats were hit in the strikes, as Russia fired more than 470 drones and 47 missiles at Ukraine overnight in a brazen attack, Zelensky said. Three districts of Ukraine's second city, Kharkiv, were also hit by a massive drone attack which injured more than 30 people, including children. Photos posted online showed buildings and cars ablaze. Power cuts are affecting a number of regions across the country, Ukraine's energy ministry said.

The UK lacks a plan to defend itself from military attack, a committee of MPs has warned. In a highly critical report, the defence committee says the UK is over-reliant on US resources and that preparations to defend itself and overseas territories in the event of attack are nowhere near where they need to be. The committee's chair, Labour MP Tan Dhesi, said: Putin's brutal invasion of Ukraine, unrelenting disinformation campaigns, and repeated incursions into European airspace mean that we cannot afford to bury our heads in the sand. It comes as the Ministry of Defence (MoD) identified parts of the country where six or more new munitions factories could be built. In June, Defence Secretary John Healey announced plans to move the UK to war-fighting readiness, including £1.5bn to support the construction of new munitions factories, which will be built by private contractors.

Is the fall of Pokrovsk inevitable? Is Trump losing patience with Putin? Russian drones struck two central districts - Slobidskyi and Osnovyansk - in Ukraine's second largest city Kharkiv, injuring five people in an apartment building and triggering a fire, authorities said. Kharkiv Mayor Ihor Terekhov said 22 residents had been evacuated from one section of the damaged apartment building while another drone struck an area outside a medical facility, injuring a doctor and damaging the building and nearby cars. The Kharkiv region's governor, Oleh Syniehubov, said 11 drones were deployed in the attack and seven people were injured in total.

--Recent advancements in Large Language Models (LLMs) have significantly expanded the capabilities of artificial intelligence in natural language processing tasks. Despite this progress, their performance in specialized domains such as computer science remains relatively unexplored. Understanding the proficiency of LLMs in these domains is critical for evaluating their practical utility and guiding future developments. The POSCOMP, a prestigious Brazilian examination used for graduate admissions in computer science promoted by the Brazlian Computer Society (SBC), provides a challenging benchmark. This study investigates whether LLMs can match or surpass human performance on the POSCOMP exam. Four LLMs - ChatGPT -4, Gemini 1.0 Advanced, Claude 3 Sonnet, and Le Chat Mistral Large - were initially evaluated on the 2022 and 2023 POSCOMP exams. The assessments measured the models' proficiency in handling complex questions typical of the exam. LLM performance was notably better on text-based questions than on image interpretation tasks. In the 2022 exam, ChatGPT - 4 led with 57 correct answers out of 69 questions, followed by Gemini 1.0 Advanced (49), Le Chat Mistral (48), and Claude 3 Sonnet (44). Similar trends were observed in the 2023 exam. ChatGPT -4 achieved the highest performance, surpassing all students who took the POSCOMP 2023 exam. LLMs, particularly ChatGPT -4, show promise in text-based tasks on the POSCOMP exam, although image interpretation remains a challenge. Given the rapid evolution of LLMs, we expanded our analysis to include more recent models - o1, Gemini 2.5 Pro, Claude 3.7 Sonnet, and o3-mini-high - evaluated on the 2022-2024 POSCOMP exams. These newer models demonstrate further improvements and consistently surpass both the average and top-performing human participants across all three years. The POSCOMP [1] is a prestigious assessment designed to test the knowledge of prospective computer science graduate students, promoted by the Brazilian Computer Society (SBC). It serves as an entry criterion for many graduate programs across Brazil. Using this exam as a benchmark for evaluating Large Language Models (LLMs) allows for a direct comparison between AI capabilities and human standards, offering valuable insights into the strengths and limitations of current AI models. Recent advancements in LLMs [2], [3] have significantly expanded the capabilities of Artificial Intelligence (AI), particularly in natural language processing tasks.

However, CTC tends to produce highly peaky and overconfident distributions, which is a symptom of overfitting. To remedy this, we propose a regularization method based on maximum conditional entropy which penalizes peaky distributions and encourages exploration.

Microsoft and Nvidia plan to invest in Anthropic under a new tie-up that includes a $30bn commitment by the Claude maker to use Microsoft's cloud services, the latest high-profile deal binding together major players in the AI industry. Nvidia will commit up to $10bn to Anthropic and Microsoft up to $5bn, the companies said on Tuesday, without sharing more details. The announcement underscores the AI industry's insatiable appetite for computing power as companies race to build systems that can rival or surpass human intelligence. It also ties major OpenAI-backer Microsoft, as well as key AI chip supplier Nvidia, closer to one of the ChatGPT maker's biggest rivals. "We're increasingly going to be customers of each other. We will use Anthropic models, they will use our infrastructure and we'll go to market together," Microsoft CEO Satya Nadella said in a video.

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