AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要：Andrew Bailey and Kristalina Georgieva voice concerns about financial system on panel about online fraud Business live – latest updates The heads of the Bank of England and the International Monetary Fund have issued a stark warning that rising cyber-attacks risk undermining trust in the financial system. Speaking on a panel about online fraud at the IMF and World Bank meetings in Bangkok, the governor of the Bank of England, Andrew Bailey, pointed to alarming headlines about self-replicating AI agents hijacking personal devices, and the French supermarket hack that heated fridges up to 50C. Continue reading...

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要：Marktechpost ranks the 9 best AI gateways for 2026. We compare Bifrost, Portkey, LiteLLM, Kong, TrueFoundry, Cloudflare, Vercel, OpenRouter and Orq.ai on latency, pricing, licensing, governance and deployment. The post 9 Best AI Gateways in 2026: Bifrost, Portkey, LiteLLM, Kong and 5 More Ranked appeared first on MarkTechPost.

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要：Liquid AI released LFM2.5-24B-A2B, an open-weight 24B Mixture-of-Experts reasoning model with 2B active parameters. It targets local agents, scoring 48.09 on LiveClaw and decoding 184 tokens/s on an Apple M5 Max. The post Liquid AI Releases LFM2.5-24B-A2B: A 2B-Active MoE for On-Device Agents appeared first on MarkTechPost.

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要：Block is building AI-powered security with OpenAI. Its security team investigates threats faster and proposes patches in minutes.

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要：With GPT-6 Astra and GPT-6.1 Sol, Codex, and Daybreak for cybersecurity, this AI lab builds agents that focus for days and improve with use.

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要：Discussion | Link

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要：Across industries, the U.K. is putting the full stack to work — and the scale of deployment is growing fast, from enterprises transforming their businesses to startups solving some of the planet’s hardest problems. NVIDIA is putting that principle into practice, including through a five-year, $250 million compute commitment to strengthen the U.K.’s agentic safety […]

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要：Keeping a city running means making decisions that affect residents every day — from when to repair a road to how to use energy more efficiently. Across the EMEA region, cities and local software, infrastructure and integration partners are using NVIDIA accelerated computing to build physical AI agents and digital twins that help teams make […]

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要：Gemini 4 Argon went GA today, but we already gave it title story 2 weeks ago and most benchmarks, like CursorBench, simply independently confirm their claims.

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要：We embraced the internet and then forgot how to do things in the real world Sign up here to get an email whenever First Dog cartoons are published Get all your needs met at the First Dog shop if what you need is First Dog merchandise and prints Continue reading...

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要：Discussion | Link

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要：Google has made Gemini 4 Argon generally available on the Gemini API, AI Studio and the Gemini app. The sparse MoE model writes up to 1M output tokens and leads the Vals Index at 68.90%. The post Google Releases Gemini 4 Argon API With 1M Token Output Limit appeared first on MarkTechPost.

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要：Discussion | Link

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要：Discussion | Link

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要：Google’s Gemini 4 Argon promises stronger capabilities across creative, analytical, and document-heavy tasks. But how well does it perform in practice? From generating videos and building websites to analyzing data and reconciling conflicting documents, the model offers plenty to explore. In our hands-on tests, Argon delivered useful results but also introduced an unsupported claim in […] The post Gemini 4 Argon Hands-On Review: Capabilities and Performance appeared first on Analytics Vidhya.

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要：A new study reveals that people draw a surprisingly sharp line between human consciousness and artificial intelligence, even when both behave identically. Researchers found that participants considered even the most responsive AI less conscious than the least responsive human. Yet when asked about "awareness" instead, people judged humans and AI much more similarly.

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要：Discussion | Link

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要：Modal has crossed $1B in annualized run rate and raised a $750M Series D led by Accel to build new infrastructure for AI applications. We can't think of a better time to be building software.

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要：Code-switching (CS), the alternation between languages within an utterance, is common in multilingual speech but underrepresented in pretraining corpora. Increasing CS coverage requires finding relevant utterances in large speech collections so that they can be included in training data. One way to find such utterances is to transcribe the speech and detect language alternation in the text, but this depends on obtaining accurate multilingual transcriptions. We propose a lightweight method that detects CS directly from speech. It uses frame-level language information in pretrained speech…

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要：Discrete diffusion models have emerged as strong alternatives to autoregressive language models, with recent work initializing and finetuning a base unimodal model for bi-modal generation. Diverging from previous approaches, we introduce the first tri-modal Masked Diffusion Models (MDM) pretrained from scratch on text, image-text, and audio-text data. We systematically analyze multimodal scaling laws, modality mixing ratios, noise schedules, batch-size effects and provide optimized inference sampling defaults. Our batch-size analysis yields a novel stochastic differential equation (SDE) based…

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要：Weaviate 1.40 adds PathSeer, a third HNSW filter strategy from a SIGMOD 2026 paper, contributed by the paper's first author. How it works, and how it compares to sweeping and ACORN.

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要：New analysis shows how agentic AI adoption is growing across EU enterprises and small businesses—and where deeper use could unlock more value.

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要：Body representing some of Britain’s biggest graduate employers reveals misconduct is at a record high It is obvious when someone is using AI to drum up answers in a job interview, according to Chris Morrow, who runs a recruitment agency in Manchester. “It’s like they are reading off an Autocue,” he said. Continue reading...

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要： Redesigning source control at Anthropic Interesting piece from Anthropic describing why and how they built their own custom alternative to Git, based on the dramatic increase in rate of changes to their code after the past six months. In May 2026, Anthropic averaged around 2,500 code changes merged per day; as of September, we merged over 30,000 per day. They included a chart showing those changes. I had Claude modify their chart (code here) to add markers for the public releases of each of their models in 2026: This shows public release dates, not the date when models became available for Anthropic's internal use. My guess is that the introduction of Fable/Mythos class models is a key factor in the increased coding velocity. "Antique" is their new…

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要：Meta released Muse Wonder and Muse Wonder Full, 1M-context agent models. Muse Wonder costs $4/$20 per million tokens on Meta Model API. Wonder Full, on Muse Code plans, leads DeepSWE and SWE-Marathon. The post Meta Launches Muse Wonder and Muse Wonder Full: Benchmarks, Pricing and How to Use It appeared first on MarkTechPost.

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要： Release: llm-gemini 0.35 I added support to llm-gemini for the new Gemini 4 Argon model, made available today via the Gemini API and for customers of their $100/month subscription plan. Here are the low, medium and high pelicans. As expected, they are all excellent: Gemini has a track record of producing great SVGs, and are the only lab where I know their staff have invested in SVG specifically (and who have boasted about their pelicans before.) Here's the "high" illustration, which cost me 17.166 cents: The pricing is interesting. At launch, Argon is $2/million input and $10/million output - the same price as GPT-6 Sol, half the price of Claude Opus 5.5 and 1/5th the price of Claude Fable 5.1 and GPT-6 Astra. But on December 1st Argon is set to do…

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要：Our first robotics pod with Dyna’s Chief Scientist on their big bet on World Action Models & the Next Frontier of Physical AI

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要：In this comprehensive coding tutorial, we explore Meta's Rebalancer assignment solver using its C++ core and Python bindings. Learn how to build datacenters, manage task placements across racks, handle constraints and goal priorities, and compare local search against the exact HiGHS solver using published benchmarks. The post How to Use Meta’s Rebalancer for Task Placement & Optimization appeared first on MarkTechPost.

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要：Discovery of ‘sophisticated’ gadget adds to company’s list of privacy concerns after hackings by rogue agents OpenAI said it has found a hidden recording device in one of its offices and has referred the matter to the FBI. One of its employees has been arrested. In a statement on Tuesday, the San Francisco-based AI company said it discovered the “sophisticated recording device” and used one of its “models to understand the device and where it had come from”. Continue reading...

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要：Machine-learning networks can learn without detailed instructions from a designer. Those that do may offer insight into how the brain reorganizes itself during learning.