В статье Building agents: When to fold subagents into your main agent loop, опубликованной 22 октября 2026 года, Diane Sarkis из Anthropic описала случаи, в которых замера множества ИИ-агентов на одного агента с навыками и инструментами приводила к значительному повышению качества работы, снижению стоимости и времени выполнения запросов. Это выглядит так, как будто создать множество узкоспециализированных ИИ-агентов — во многих случаях не очень хорошая идея.
Читать далееCarnegie Hall, New York
After winning over gen Z, the cult indie rocker makes the historic venue swoon with introspective anthems and a Michael Jackson cover
More than 68 years after Leonard Bernstein’s first-ever Young People’s Concert, Carnegie Hall was yet again overrun with youthful energy on Sunday night. The occasion was the first of two sold-out performances from gap-toothed indie-pop scion Mac DeMarco, whose adoringly parasocial cross-genre fanbase has been one of the few in 2010s indie to continue an increasingly aged-down trajectory. There was many a parental chaperone next to their beaming teens, while a group of bright-eyed and bushy-tailed post-adolescents sitting behind me – having travelled all the way from Wisconsin for the occasion – audibly Googled: “Where to find Mac DeMarco after the concert” and quizzed each other on whether they’d lay a smooch on The 1975’s devilish frontman Matty Healy if given a chance.
“I can’t believe how fancy this place is for Mac,” one of them marveled – and it has indeed been a strange trajectory for DeMarco, who emerged from the shores of Vancouver in the early 2010s resembling a party-hardy modern-day Pigpen and with an aural suitcase stuffed with lovely guitar-warbles, stained with nicotine and carrying the faint stink of cheap brew. His early live sets were equally prone to Limp Bizkit covers and spontaneous audience makeout sessions; the 2014 docu-short Pepperoni Playboy was replete with scenes of new-indie-money dirtbag opulence, as DeMarco and his ragtag group drank champagne out of lobster shells and went cliff-diving amid a nonstop tour schedule.
Continue reading...In her new book, Envy, Stacy Kim explains how to understand the feeling, identify your deeper desires and use them to achieve your goals
In the 16th-century poem The Faerie Queene, envy is a ghoulish figure riding a ravenous wolf, sad to see the fortune of others and “wonderous glad” of their hardship. It’s not a flattering depiction; better to be thankful for what we have, rather than dwell on such a bitter and self-destructive feeling, right?
Maybe not. “I think that when we don’t examine our envy, that’s when it leads us astray,” says Dr Stacy Kim, social scientist, life coach and author of the new book Envy: Why Wanting What They Have is the Key to Getting What You Want. Kim wrote the book after seeing the way envy came up for her coaching clients and reflecting on the role it had in her own life. The book is informed by social science and philosophy research, as well as her personal and professional experiences.
Similar target: “You remind yourself: ‘Hey, the reason why I’m feeling this envy is because what I want is within my reach,’” she says.
Intangible desire, as mentioned above
Relevant comparison: Identify which specific domain – something you care about or already participate in – is relevant to your desires
Negative emotion: How long does it last? How intense is the message it’s sending? This tells us how important the feeling is.
Envy by Stacy S. Kim is out now. To support the Guardian, order your copy of the UK edition at guardianbookshop.com. Delivery charges may apply.
Continue reading...
Внимание! Обнаружены две критические уязвимости удаленного выполнения кода (RCE) в PHP, отслеживаемых как CVE-2026-109618 и CVE-2026-109619 , публично раскрытых 21 октября 2026 года . Эти уязвимости позволяют злоумышленнику выполнять произвольный код на серверах, работающих под управлением PHP, что потенциально может привести к полной компрометации затронутой системы. Поскольку PHP используется в значительной части веб-технологий, включая WordPress, Drupal, Laravel и пользовательские приложения.
Кто затронут?
Эти уязвимости затрагивают все версии PHP, начиная с PHP 5. Если вы используете PHP в своей инфраструктуре, в рабочих нагрузках DOKS, в приложениях App Platform или пользовательских контейнерах, или через образы Marketplace, доступные в один клик (WordPress, LAMP, LEMP, Laravel и т. д.) - вам следует считать себя потенциально подпадающим под действие уязвимости до тех пор, пока не будет выпущено исправление.
Исправленные версии PHP:
Читать далееTrump lashes out on Maher after the host interviewed former White House press secretary Karoline Leavitt
Donald Trump launched a 1,300-word social media rant against the late-night US TV host Bill Maher on Sunday evening, calling him a “TOTAL LOSER” in a fresh assault on the media.
“Let’s talk about this COMPLETE AND TOTAL LOSER, Bill Maher,” the US president wrote. “He’s got a Low Rated Show on equally Low Rated HBO, which was once, long ago, a Network of Quality and Excitement – But that’s all gone.”
Continue reading...Недавно посмотрел выступление Павла Анненкова, владельца издательства «Редколлегия», на тему «Маркетинг будущего — маркетинг из прошлого». Его тезис: в эпоху ИИ, когда контент почти ничего не стоит, физические объекты (книги, журналы, мерч) становятся премиальным медиа, позволяют быстро пройти путь от внимания к памяти и обходятся дешевле цифры. Доклад живой и во многом точный, но... с главным выводом я не согласен.
Важен ещё и контекст: корпоративные книги и журналы — это бизнес самого Павла. Доводы от этого не становятся неверными, но это объясняет, почему в докладе нет ни одного случая, когда физический носитель не сработал. А я таких видел немало: за годы работы на выставках, чужих и своих, я много раз наблюдал, как в последний день стенды разбирают и тонны буклетов, каталогов и подарочных книг уходят в мусор, так и не дойдя до читателя.
Начну с того, в чём Павел прав.
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Компания NEOMSA представила практический подход к управлению доступом ИИ-агентов к внутренним API через протокол MCP. В центре внимания — выдача и отзыв полномочий, ограничение операций и данных, а также восстановление цепочки действий при расследовании инцидентов.
Сценарии с ИИ-агентами переводят вопросы управления API из плоскости обычной аутентификации в область контроля конкретных действий. Действительный токен не означает, что агент должен иметь право выполнять любую доступную операцию: необходимо проверять полномочия приложения, вызываемый инструмент, параметры запроса и доступ к конкретному бизнес-объекту.
В NEOMSA APIM этот подход реализуется через публикации MCP-серверов, приложения потребителей, подписки, scopes и механизмы аудита. При публикации MCP-сервера из API можно выбрать только необходимые операции. Например, для сценария работы с клиентскими данными отдельно выделяются инструменты чтения карточки, расчёта предварительного лимита и изменения установленного лимита.
Для разных агентов права могут разделяться на уровне scopes. При этом наличие права на операцию не должно автоматически давать доступ ко всем данным. Дополнительно проверяются конкретный объект, организация и допустимые поля. Для критичных операций предусматривается отдельное подтверждение, а защита от повторного выполнения должна обеспечиваться на стороне исполняющего компонента.
Отдельное внимание уделяется отзыву доступа. В зависимости от ситуации могут потребоваться разные действия: блокировка утёкшего токена, замена скомпрометированных credentials, отзыв отдельного scope или отключение подписки приложения на MCP-сервер. После изменения полномочий необходимо проверить поведение старых и новых токенов, существующих сессий и всех задействованных узлов.
Читать далееSerdar Cellat, Yuchen Xie, Bernadette Marcu, Blaid Burgess, Cody Jarrett, Carlos Pereira, Qing Shi, Samuel Carvajal, Manuel Pamplona, Dorothy Jung, Feiko Ritsema, Benjamin Klein, Alex Woo, Eugene Lok, Anna Pulido, Rebecka Swe, Sanford Holsapple, Ranjith Kumar Shetty
At Netflix, a crucial part of our mission is ensuring our content looks stunning on any device. Vertical formats are increasingly important for Netflix, as we have 1.2B followers across our social media accounts, and have recently rolled out Clips, our vertical video feed in the Netflix mobile app. Traditionally, creating vertical assets meant editors and producers manually reframed horizontal videos in editing tools, a process that doesn’t scale as our catalog and use cases grow. To support both our in‑app feed and external marketing campaigns at scale, we built an automated multi‑ratio video cropping system, tightly integrated into our internal production tools, that can generate high‑quality vertical and other aspect‑ratio variants with minimal manual effort.
Converting cinematic 16:9 footage into mobile‑friendly aspect ratios takes more than a simple center crop. Filmmaking often involves dynamic character blocking and complex camera movement. We need an intelligent “virtual camera” that can follow the key action, respond to how each scene is composed, and produce crops that feel as intentional as the original shot.
We address this challenge by framing video resizing as a tracking and temporal optimization problem. Our pipeline processes each asset in three main stages, designed to produce 9:16, 4:5, and 1:1 crops in a single pass, without incurring additional computational overhead.
First, we segment the video into atomic shots using a neural‑network–based shot boundary detector. In many cases, shots contain multiple characters conversing on opposite sides of the frame. To better handle these scenarios, we use an Active Speaker Detection based approach to logically split a single continuous shot into multiple sub‑shots. This allows our virtual camera to cut and re-focus on different speakers as the conversation flows. Our Active Speaker Detection leverages an internal face detector and LipFlap to reliably identify active speakers in both live‑action and animated titles.
Once shots and sub‑shots are defined, we identify the most important region in each frame. We combine face detections with visual saliency maps to filter and prioritize the faces that should be in focus. In scenes with multiple characters, we further rank faces using signals such as active speaker status and relative size. Our model aggregates these cues with shot‑level content understanding to establish a continuous “focus region” for the virtual camera.
Once we’ve established the focus region, the next challenge is deciding how the crop should move over time. Tracking the focus region on a strict frame-by-frame basis would produce a shaky, distracting viewing experience, so we apply a set of heuristics that consider how the focus region moves over the course of a shot. When its displacement is small, we lock a static crop window that consistently covers the relevant area. When there is significant motion, we compute a dynamic tracking window and smooth its path so that any panning feels intentional and cinematic.
We integrated the resizing algorithm directly into our internal Clips tool, so editors and producers can access it as part of their existing workflow. The interface enables them to automatically generate multiple aspect‑ratio versions of a clip with smart reframing. A unified in‑app module provides intuitive shot‑reframing controls, allowing users to review the algorithm’s crops, and quickly make targeted adjustments where needed.
For more complex shots or custom campaigns, producers can export the resizing parameters as XML and load them directly into external timeline editors such as Adobe Premiere. This allows agencies and external partners to start from the algorithm’s framing decisions instead of recreating crops manually or relying on tools like Premiere’s Auto Reframe. In our internal test, our resizing algorithm outperforms Auto Reframe on a curated evaluation set, so the XML export effectively brings those higher‑quality crops into external workflows. By bringing automated resizing and manual refinement into a single place, this pipeline significantly reduces production time and manual effort while preserving creative control.
Our work on multi-ratio video resizing is one step in a broader effort to make content creation more scalable, without compromising creative intent. By pairing algorithm-driven reframing with editor-friendly tools, we’ve reduced the time teams spend on repetitive resizing tasks and unlocked faster experimentation across mobile feeds and marketing campaigns. As we continue to broaden these capabilities to new formats and workflows, our goal remains the same: to give creatives more time to tell great stories, and to deliver a consistently high-quality viewing experience for our members and fans.
Multi‑Ratio Video Resizing for Mobile Feed and Marketing was originally published in Netflix TechBlog on Medium, where people are continuing the conversation by highlighting and responding to this story.
Leaders and governments worldwide congratulate Lula on dramatic comeback seen as an important signal to rest of Latin America
Luiz Inácio Lula da Silva, the Brazilian president, has vowed that dictatorship and fascism will never return to Brazil after winning a historic fourth term in power by defeating his far-right opponent, Flávio Bolsonaro.
“This is God’s work – and it’s thanks to all of you,” Lula told tens of thousands of supporters who had gathered in central São Paulo in the early hours of Monday to celebrate his dramatic election comeback.
Continue reading...At the 2026 Open Compute Project (OCP) Global Summit, Meta shared the networking innovations that are directly supporting our latest AI models, including Muse Wonder and Muse Spark, and our gigawatt-scale Prometheus cluster.
We shared insights into key networking-related initiatives through talks from many of the Meta network and hardware teams. Those talks and their slide decks are now available to everyone!
Concrete to Code: Engineering AI Infrastructure at Gigawatt Scale (video)
AI has changed the shape of infrastructure. Santosh Janardhan, Head of Infrastructure at Meta, shares how Meta is designing, building, and operating at a scale that requires rethinking the network, the facility, and the systems that hold it all together.
Speaker: Santosh Janardhan, Head of Infrastructure, Meta
Betting on the Network: Meta’s Case for Full-Stack, Open AI Networking (video)
AI progress now depends on the network as much as on compute. The path forward is a full-stack, open approach built in the open ecosystem rather than behind proprietary walls.
Speaker: Omar Baldonado, Senior Director, Data Center & AI Networking, Meta
Breaking the Walls: Open Scale-Across for the AI Era (video)
Training compute is compounding faster than infrastructure can scale. This talk lays out why open scale-across networking is needed to connect AI capacity across data centers and regions.
Speakers: Vipul Deokar, VP, Core Network Infrastructure, Meta; Rakesh Chopra, SVP, Silicon & Systems Architecture and Engineering Fellow, Cisco; Tom Williams, VP, Marketing, Cisco
Meta 102.4T Ethernet Switch (video)
IceCube is Meta’s 102.4T switch that goes into our liquid-cooled Icepack rack. Icecube and N-IceCube are based on a 2OU, hybrid liquid/air-cooled, PHY-less design and incorporate either the Broadcom Tomahawk 6C or NVIDIA Spectrum-6 ASICs with 128x800GE of non-blocking capacity.
Speakers: Rongchun Zhou, Network Hardware Engineer, Meta; Reza Niazmand, Network Technical Program Manager, Meta
Integrated Optics at Scale: From 51.2T CPO Validation to Meta’s 102.4T (video)
A look at why integrated optics matter for rack-scale AI — power, density, disaggregation, and reliability — and what Meta learned validating 51.2T co-packaged optics that could carry over to 102.4T.
Speakers: Granthana Rangaswamy, Hardware Engineer, Meta; Siamak Amiralizadeh, Optical Engineer, Meta; Xu Wang, Hardware Engineer, Meta
Operating Linear Pluggable Optics at Hyperscale (video)
At AI scale, the per-module retimer DSP is a repeated tax in power, heat, and cost across millions of links — but removing it moves equalization and triage onto the host. This talk answers whether linear optics can match retimed reliability at fleet scale.
Speakers: Amin Yekani, Optical Engineer, Meta; Qing Wang, Optical Engineer, Meta
Large-Scale Deployment of 800G AECs in Meta Data Centers (video)
The economics of AI networking are set at the short-reach link. This session covers Meta’s large-scale deployment of 800Gb/s active electrical cables and the component quality work behind it.
Speakers: Jingyu (Kevin) Yu, Component Quality Engineer, Meta; Abhijit Chakravarty, Quality Head, Optics & Interconnects, Meta
Beyond Pluggables: Building the NPO Ecosystem for Scaling AI
A look at what it takes to build a near-package optics (NPO) ecosystem capable of supporting AI scaling beyond what pluggable modules can deliver.
Speaker: Nan Ge, Technical Sourcing Manager, Meta
Open Switch Platform Architecture (OSPA) — A Unified Network Switch Platform Reference Design (video)
While SAI has made data plane software portable, the switch platform layer remains proprietary and fragmented, adding months of duplicated bring-up work per platform. This talk introduces OSPA, which proposes a unified, multi-vendor reference design for that layer, and the 1.0 specification that has been contributed to OCP.
Speakers: Tao Ren, Tian Fang, and Xu Wang, Meta; Guohan Lu, Individual; Ying Xie, Microsoft; Yiyuan Huang and Zhiping Yao, Alibaba
NVIDIA SDK + FBOSS: Building Production-Ready AI Network Fabrics (video)
How NVIDIA’s Spectrum-X switch, SDK, SAI implementation, and simulator come together with FBOSS, Meta’s network operating system, to build production AI fabrics. The talk covers the CI/CD and test-driven workflow that made rapid joint integration possible.
Speakers: Parvez Shaikh, Meta; Harish Krishnamoorthy, Alan Elder, and Tom Zhu, NVIDIA
Open, AI-Ready FBOSS: From Platform Bring-up to Solution Qualification (video)
A tour of the FBOSS software stack — routing, forwarding, platform services, and board support — and how a config-driven approach can more quickly and easily take a platform from board bring-up to qualified status for the OCP ecosystem.
Speakers: Srikrishna Gopu, Software Engineer, Meta; Benoit Sigoure, Software Engineer, Nexthop AI
High Performance at Scale and Reliability by Design: Operating Meta’s Largest AI Clusters (video)
What it takes to operate Meta’s largest AI clusters reliably, walking the full training stack from GPUs and scale-up fabrics through FBOSS, drivers, communication libraries, and the scheduler.
Speakers: Jose Leitao, Production Engineering, Meta; Guille Cobo, Network.AI, Meta
Scaling AI Infrastructure Across DC and Beyond: Meta’s Journey with BAG (video)
An overview of Backend Aggregation (BAG) — its purpose, architecture, and performance benefits — with lessons from deployment in Meta’s Prometheus cluster. The talk also covers the engineering challenges of platform fit, distance management, reliability, and capacity planning, especially given the quickly evolving AI ecosystem.
Speakers: Jalpa Patel, Technical Program Manager, Meta; Hany Morsy, Network Engineer, Meta
SRv6 Powered Backbone Networks (video)
This talk delves into why Meta chose SRv6 for a new layer of its backbone, how the data plane and control plane work in production on FBOSS (including using shallow buffers at WAN distances), and the accelerated timeline from concept to deployment in a matter of months.
Speakers: Jasmeet Bagga, Software Engineer, Meta; Andrey Golovanov, Network Engineer, Meta
Bridging On-prem and Cloud: GPU Networking at Meta Scale (video)
A look at how Meta uses cloud GPU capacity, and what lessons Meta brings from its on-premises deployments into clouds to make them highly performant and reliable for AI workloads.
Speakers: Adi Gangidi, Technical Lead, Meta; Carmen Au, Software Engineering Manager, Meta
Scale-Across Networking Panel (video)
A cross-industry panel on what scale-across AI clusters demand from routing and optical transport equipment. Panelists compare approaches across hyperscalers, silicon, and systems vendors.
Panelists: Jeff Rahn, Meta; Tad Hofmeister, Google Cloud; Yawei Yin, Microsoft Azure; Xiguang (Henry) Wu, Broadcom; Vijay Vusirikala, Arista Networks (moderator)
Tahan: An Open, Ethernet-Based Scale-Up Switch for MTIA (video)
We introduce Tahan, an Ethernet-based scale-up switch for our rack-scale MTIA 300 AI system. This talk walks through Tahan’s bandwidth and latency characteristics and scale-up feature set, demonstrating Ethernet’s strengths in scale-up and moving toward ESUN for future scale-up designs.
Speakers: Vimal Vasudevan, Technical Program Manager, Meta; Ashutosh Grewal, Software Engineer, Meta
ESUN: Open Ethernet for the AI Scale-Up Era (video)
We partnered with the community last year to launch ESUN: Ethernet for Scale-up Networking. This talk covers progress since the last OCP Global Summit, with the 1.0 specification released earlier in the year and the upcoming 1.1 specification.
Speakers: Manoj Wadekar, AI Network Technologist, Meta; Pratik Marolia, AI System Architect, Microsoft
Validation Methodologies for the ESUN Ecosystem (video)
A validation methodology for the ESUN ecosystem, situating scale-up within the broader set of AI scaling domains — scale in, up, out, across, edge, and above.
Speakers: Manoj Wadekar, AI Systems Technologist, Meta; Venkat Pullela, CTO, AI Infrastructure, Keysight
Test Methodology for Multi-Accelerator Copper Scale-up Interconnect (video)
In a copper scale-up domain, thousands of connections per rack mean roughly 10 bad links even at 99.9% yield — and blind-mate cartridges leave no per-link serviceability. At Meta, we look at this as a statistical problem rather than a set of isolated debugging problems. This talk shares our test methodology.
Speakers: Yao Rong, Systems Engineer, AI Systems, Meta; Karthik Ganesan, AI/HPC System Performance Engineer, Meta
MetaRoCE: Rethinking RDMA for AI (video)
The network is now in the critical path for AI clusters, with all-reduce and all-to-all performance gated by the slowest node across hundreds of thousands of accelerators. This talk covers the MetaRoCE transport specification.
Speakers: Arvind Srinivasan, Meta; Sandeep Nagaraja, Meta; Balakrishnan Raman, AMD
MetaRoCE in Software (video)
Meta is making its MetaRoCE software implementations available in open source, starting with a user-space version on GitHub (libsoftmetaroce) with a DPDK-based version coming soon.
Speakers: Ashkan Nikravesh, Software Engineer, Meta; Yiorgos Nikolaidis, Software Engineer, Meta
You can watch all of the recorded talks from the event on the 2026 OCP Global Summit website.
A huge thank-you to every presenter from our Meta network and hardware teams and to our great partners across the industry who made this possible!
Images courtesy Open Compute Project (OCP).
The post Meta Networking at the 2026 OCP Global Summit: Open Innovation for Scale-Up, Scale-Out, and Scale-Across AI Networks appeared first on Engineering at Meta.
Plans to slash games by half and prize money criticised
‘Hard for players to build and sustain a doubles career’
More than 150 doubles players on the men’s ATP tour have signed an open letter addressed to the ATP board and management imploring the men’s tennis governing bodies to reconsider controversial doubles reforms and “protect” the format in professional tennis.
The subject of potential reforms to the ATP has been a significant issue since players were informed in a meeting during Wimbledon that the ATP was conducting a review of its doubles regulations and potential changes could see doubles draws being halved at the ATP events in 2028. Under these proposals, ATP Masters 1000 events would host only 16 doubles teams and the main draws at ATP 500 and 250 events would accommodate only eight teams.
Continue reading...Leaders and governments worldwide congratulate Lula on dramatic comeback seen as an important signal to rest of Latin America
Luiz Inácio Lula da Silva, the Brazilian president, has vowed that dictatorship and fascism will never return to Brazil after winning a historic fourth term in power by defeating his far-right opponent, Flávio Bolsonaro.
“This is God’s work – and it’s thanks to all of you,” Lula told tens of thousands of supporters who had gathered in central São Paulo in the early hours of Monday to celebrate his dramatic election comeback.
Continue reading...В октябре 2026 года российский ИТ‑рынок наблюдал беспрецедентный по масштабу коллапс: за четверо суток физически вышли из строя три дата‑центра «Яндекса» в Центральной России (Сасово, Калуга, Владимир). Итогом стали обрушение облачной платформы Yandex Cloud, остановка ключевых сервисов экосистемы (от Такси до Директа), потеря недельных данных у ряда внешних клиентов и 11-дневная кома финтех‑вертикали («Яндекс Пэй» и «Сплит»).
В публичном поле эту аварию удобно списывать на «непреодолимый военный форс‑мажор» — мол, ни одна архитектура не рассчитана на потерю трех ЦОДов подряд.
Как архитекторы, мы обязаны смотреть на факты без розовых очков. Если препарировать поминутную хронику событий с 8 по 22 октября, становится очевидно: физическое поражение площадок стало лишь триггером. Масштаб и длительность катастрофы — это прямое следствие фундаментальных просчетов в проектировании распределенных систем, управлении мощностями (Capacity Management) и оценке рисков на уровне C‑level.
В этой статье мы разберем по косточкам, почему у «Яндекса» было целых 74 часа на спасение системы между первым и решающим ударами, почему они не смогли ими воспользоваться, откуда в финтехе взялись фантомные списания и 11 суток ручной сверки балансов, и главное — как должна выглядеть архитектура, способная пережить подобный шторм.
Читать далееAll but one of the victims sustained gunshot wounds as boy faces 11 charges of attempted second-degree murder
A 15-year-old boy was remanded into secure detention in Florida on Monday charged with 11 counts of attempted murder following a mass shooting at a college homecoming party on Saturday.
Six adults and six minors were injured, all but one with gunshot wounds, in the gunfire near the Florida Agricultural + Mechanical University campus in Tallahassee.
Continue reading...Application made for group claim seeking compensation for companies for alleged overcharging on customer card payments
Visa and Mastercard are being threatened with a potential £5bn lawsuit for allegedly stifling competition and charging UK businesses excessive fees.
The law firms Harcus Parker and Hausfeld have lodged an application at the Competition Appeal Tribunal in hopes of pursuing a group claim that would compensate companies who, they claim, have been overcharged on customer card payments since October 2020.
Continue reading...Application made for group claim seeking compensation for companies for alleged overcharging on customer card payments
Visa and Mastercard are being threatened with a potential £5bn lawsuit for allegedly stifling competition and charging UK businesses excessive fees.
The law firms Harcus Parker and Hausfeld have lodged an application at the Competition Appeal Tribunal in hopes of pursuing a group claim that would compensate companies who, they claim, have been overcharged on customer card payments since October 2020.
Continue reading...All but one of the victims sustained gunshot wounds as boy faces 11 charges of attempted second-degree murder
A 15-year-old boy was remanded into secure detention in Florida on Monday charged with 11 counts of attempted murder following a mass shooting at a college homecoming party on Saturday.
Six adults and six minors were injured, all but one with gunshot wounds, in the gunfire near the Florida Agricultural + Mechanical University campus in Tallahassee.
Continue reading...
Nano Banana 2.1 и ChatGPT Image 2.5 решают похожую задачу: создают изображения по текстовому промпту и редактируют готовые картинки. Но после нескольких генераций становится понятно, что модели ошибаются по-разному. Одна точнее следует техническому заданию, другая лучше сохраняет лицо или делает визуал более «собранным».
Сравнивать такие нейросети по одному красивому примеру бессмысленно. Для продуктового изображения важнее точность расположения объектов, для афиши — текст, для рекламного кадра — сходство с референсом, а для редактирования — способность изменить ровно один элемент и не перерисовать всё остальное.
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