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Valentine's Day dangers: Dating app killers lure love seekers in unsuspecting ways

FOX News

Kurt "The Cyberguy" Knutsson explains how facial recognition technology can help you find your perfect match. From a poisonous date to finding love with a serial killer, these six chilling cases show how unsuspecting dating app users on the quest for romance led them into the clutches of danger. Dating apps – from Tinder to Grindr – are the modern way for people to connect with potential partners from the comfort of their own space. Brace yourself for stories that blur the line between love and terror. Here is Fox News Digital's list of some recent cases where love went wrong.


Expect the Unexpected: FailSafe Long Context QA for Finance

Kamble, Kiran, Russak, Melisa, Mozolevskyi, Dmytro, Ali, Muayad, Russak, Mateusz, AlShikh, Waseem

arXiv.org Artificial Intelligence

We propose a new long-context financial benchmark, FailSafeQA, designed to test the robustness and context-awareness of LLMs against six variations in human-interface interactions in LLM-based query-answer systems within finance. We concentrate on two case studies: Query Failure and Context Failure. In the Query Failure scenario, we perturb the original query to vary in domain expertise, completeness, and linguistic accuracy. In the Context Failure case, we simulate the uploads of degraded, irrelevant, and empty documents. We employ the LLM-as-a-Judge methodology with Qwen2.5-72B-Instruct and use fine-grained rating criteria to define and calculate Robustness, Context Grounding, and Compliance scores for 24 off-the-shelf models. The results suggest that although some models excel at mitigating input perturbations, they must balance robust answering with the ability to refrain from hallucinating. Notably, Palmyra-Fin-128k-Instruct, recognized as the most compliant model, maintained strong baseline performance but encountered challenges in sustaining robust predictions in 17% of test cases. On the other hand, the most robust model, OpenAI o3-mini, fabricated information in 41% of tested cases. The results demonstrate that even high-performing models have significant room for improvement and highlight the role of FailSafeQA as a tool for developing LLMs optimized for dependability in financial applications. The dataset is available at: https://huggingface.co/datasets/Writer/FailSafeQA


Stephen A. Smith 'loves' PGA Tour merger with LIV, calls it a 'smart business' move

FOX News

Fox News Flash top sports headlines are here. Check out what's clicking on Foxnews.com. Tuesday's bombshell news that the PGA Tour, DP World Tour and LIV Golf would merge in order to "unify the game of golf, on a global basis" took almost everybody by surprise. The agreement ends "two years of disruption and distraction" between the PGA and the Saudi-backed invitational while creating a "transformational partnership" between the three entities. While many are unhappy with the agreement, one ESPN analyst is a big fan of the move.


Improving generation quality of pointer networks via guided attention

Chawla, Kushal, Krishna, Kundan, Srinivasan, Balaji Vasan

arXiv.org Machine Learning

Pointer generator networks have been used successfully for abstractive summarization. Along with the capability to generate novel words, it also allows the model to copy from the input text to handle out-of-vocabulary words. In this paper, we point out two key shortcomings of the summaries generated with this framework via manual inspection, statistical analysis and human evaluation. The first shortcoming is the extractive nature of the generated summaries, since the network eventually learns to copy from the input article most of the times, affecting the abstractive nature of the generated summaries. The second shortcoming is the factual inaccuracies in the generated text despite grammatical correctness. Our analysis indicates that this arises due to incorrect attention transition between different parts of the article. We propose an initial attempt towards addressing both these shortcomings by externally appending traditional linguistic information parsed from the input text, thereby teaching networks on the structure of the underlying text. Results indicate feasibility and potential of such additional cues for improved generation.


Lame duck, indeed

FOX News

Co-chairs of The Problem Solvers Caucus Republican Rep. Tom Reed and Democrat Rep. Josh Gottheimer speak out on moving past gridlock in Washington. On the roster: Lame duck, indeed - H.W. Bush-era AG eyed as possible Sessions successor - GOP officials had early warning of voter fraud in N.C. - SupCo's double-jeopardy case holds Mueller probe implications - Will study for bacon LAME DUCK, INDEED In the universe of Washington dud stories, "government shutdown looming" is right up there with "fireworks expected at hearing" and "leadership challenge brewing." The witness shrugs off lame speechifying disguised as tough questioning, the insurgency peters out over the question "who else" and in all but five cases since 1990 the government makes it past the fiscal cliff by plopping out some temporary spending measure. And yet… Congress today passed a two-week extension of current spending while the lame-duck House and Senate bicker over how to proceed. At issue are seven stalled annual appropriations bills that fund nine cabinet agencies.