Joshua McNeillKinda curious what you need to do to get a #creditcard with an #APR below 20% at this point. I've always had good credit, and when I got my first card, my APR was 9-10%. I remember my mom's was 4%. But for years now, I've been sent offer after offer for 26-34%. Just completely insane, #gangster #loan shark rates that should definitely not be #legal.
Steam & Epic Games | Daily📉 Sony SLUMPED: exclusive sales are roughly half of the 2020 peak, internal studios moved 58.4M copies in Apr 2020, Mar 2021, fell to 28.9M in FY2024 and nudged to 32.1M in the year ending 2026.
Why: PS5 scarcity and pandemic demand at launch, much pricier and longer blockbuster dev cycles, plus a strategy of porting big single‑player PlayStation titles to PC, all together mean fewer first‑party exclusives landing on consoles.
Kpop News HubDrama viewership ratings for the week of Apr. 27-May 3, 2026 #27May #Apr #Drama #Ratings #viewership #Week
https://kpopnewshub.com/drama-viewership-ratings-for-the-week-of-apr-27-may-3-2026/?fsp_sid=27538
https://kpopnewshub.com/drama-viewership-ratings-for-the-week-of-apr-27-may-3-2026/?fsp_sid=27538
autosport web2番手でも「次元の違う」スバルに脱力気味のapr LC500。Green Braveスープラは「クルマがバラバラ」から3番手
https://www.as-web.jp/supergt/1313183
#asweb #SUPER_GT #ニュース #2026_スーパーGT #2026スーパーGT第2戦富士 #apr #吉田広樹 #埼玉Green_Brave #小山美姫 #小高一斗 #野中誠太
🎮 Cygames confirmed: the big DLC and updated edition Granblue Fantasy: Relink, Endless Ragnarok will be available to test for free at the end of April.
Open beta runs Apr 24-27, with pre-load opening Apr 23. Try the new mechanics and face previously unseen bosses, the beta is open to everyone: just download the game after pre-load starts; no base-game purchase required. FREE
Game Pass April, first drop: what's already in and what lands soon 🎮
Live now: Final Fantasy IV. 8 Apr, DayZ (preview Endless Legend 2 and FBC: Firebreak move to Premium). 9 Apr, Planet Coaster 2, 10 Apr, Tiny Bookshop, 14 Apr, Hades II and Replaced, 17 Apr, Call of Duty: Modern Warfare. Multiple Premium moves on 13/16/21/23. SWEET?
Charming MalcontentThis is even better than the #GavinNewsom social media team!
A new hash tag is born: #APR the #AmericanPedophileRegime
A new hash tag is born: #APR the #AmericanPedophileRegime
Sociedad NoticiasAPR refuerza reciclaje de plásticos en México y Latinoamérica
Refuerza operaciones APR en México y Latinoamérica
Por Deyanira Vázquez | Reportera
Este año, la Asociación de Recicladores de Plástico (APR), organización internacional que agrupa a cientos de empresas de todo el mundo a lo largo de la cadena de valor del reciclaje de plásticos, refuerza su participación en México y Latinoamérica para sumar esfuerzos y colaborar activamente con la industria de la región, ampliando sus operaciones en un momento crucial para el sector del reciclaje.
Si bien México ya cuenta con importantes niveles de recolección de PET, aún enfrenta desafíos en el diseño de envases y productos plásticos compatibles con el sistema de reciclaje, así como en el desarrollo de mercados para la resina posconsumo (PCR), retos que requieren del trabajo conjunto entre organismos, industria, autoridades y consumidores.
El organismo es reconocido a nivel mundial como la autoridad en diseño de envases plásticos para su reciclabilidad. Los programas y herramientas de APR mejoran la eficiencia y la productividad del reciclaje de plásticos, reducen la contaminación de los materiales reciclados y disminuyen los costos en toda la cadena de suministro.
Reciclar y utilizar material reciclado beneficia a fabricantes, consumidores y al planeta. Impulsa la eficiencia industrial, el ahorro energético y reduce las emisiones, generando impactos ambientales, económicos y sociales medibles. –sn–
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#NoticiasMX #PeriodismoParaTi #PeriodismoParaTiSociedadNoticias #APR #AsociaciónDeRecicladoresDePlástico #Cdmx #diseñoDeEnvases #EconomíaCircular #industriaDelReciclaje #Información #InformaciónMéxico #Latinoamérica #México #MedioAmbiente #Morena #noticia #noticias #NoticiasMéxico #NoticiasSociedad #PCR #pet #reciclajeDePlásticos #reciclajeEnMéxico #resinaPosconsumo #SN #Sociedad #SociedadNoticias #SociedadNoticiasCom #sociedadNoticias #SociedadNoticiasCom #sostenibilidad
『アペックスDLモモコルセMR2（JGTC）』GT300の強豪『apr』の第一歩【忘れがたき銘車たち】
https://www.as-web.jp/racing-on/1283590
Miguel Afonso CaetanoDo AI models help produce verified bug fixes?
"Abstract: Among areas of software engineering where AI techniques — particularly, Large Language Models — seem poised to yield dramatic improvements, an attractive candidate is Automatic Program Repair (APR), the production of satisfactory corrections to software bugs. Does this expectation materialize in practice? How do we find out, making sure that proposed corrections actually work? If programmers have access to LLMs, how do they actually use them to complement their own skills?
To answer these questions, we took advantage of the availability of a program-proving environment, which formally determines the correctness of proposed fixes, to conduct a study of program debugging with two randomly assigned groups of programmers, one with access to LLMs and the other without, both validating their answers through the proof tools. The methodology relied on a division into general research questions (Goals in the GoalQuery-Metric approach), specific elements admitting specific answers (Queries), and measurements supporting these answers (Metrics). While applied so far to a limited sample size, the results are a first step towards delineating a proper role for AI and LLMs in providing guaranteed-correct fixes to program bugs.
These results caused surprise as compared to what one might expect from the use of AI for debugging and APR. The contributions also include: a detailed methodology for experiments in the use of LLMs for debugging, which other projects can reuse; a finegrain analysis of programmer behavior, made possible by the use of full-session recording; a definition of patterns of use of LLMs, with 7 distinct categories; and validated advice for getting the best of LLMs for debugging and Automatic Program Repair"
https://www.arxiv.org/abs/2507.15822
#AI #GenerativeAI #LLMs #Debugging #Programming #APR #SoftwareDevelopment #SoftwareBugs
Do AI models help produce verified bug fixes?
Among areas of software engineering where AI techniques -- particularly, Large Language Models -- seem poised to yield dramatic improvements, an attractive candidate is Automatic Program Repair (APR), the production of satisfactory corrections to software bugs. Does this expectation materialize in practice? How do we find out, making sure that proposed corrections actually work? If programmers have access to LLMs, how do they actually use them to complement their own skills? To answer these questions, we took advantage of the availability of a program-proving environment, which formally determines the correctness of proposed fixes, to conduct a study of program debugging with two randomly assigned groups of programmers, one with access to LLMs and the other without, both validating their answers through the proof tools. The methodology relied on a division into general research questions (Goals in the Goal-Query-Metric approach), specific elements admitting specific answers (Queries), and measurements supporting these answers (Metrics). While applied so far to a limited sample size, the results are a first step towards delineating a proper role for AI and LLMs in providing guaranteed-correct fixes to program bugs. These results caused surprise as compared to what one might expect from the use of AI for debugging and APR. The contributions also include: a detailed methodology for experiments in the use of LLMs for debugging, which other projects can reuse; a fine-grain analysis of programmer behavior, made possible by the use of full-session recording; a definition of patterns of use of LLMs, with 7 distinct categories; and validated advice for getting the best of LLMs for debugging and Automatic Program Repair.