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来源目录收录 105 个来源 · 本页最新发布时间 2026-10-14 17:07 UTC+8。

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2026-10-14

待翻译:Bank of England and IMF bosses issue stark warning on cyber threat to trust

AI 服务暂时不可用,以下为来源摘要,待恢复后补全翻译: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...

The Guardian AIAgent来源内容 · 翻译待补全待翻译:Bank of England and IMF bosses issue stark warning on cyber threat to trust
待翻译:9 Best AI Gateways in 2026: Bifrost, Portkey, LiteLLM, Kong and 5 More Ranked

AI 服务暂时不可用,以下为来源摘要,待恢复后补全翻译: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.

MarkTechPost模型 / 政策 / Agent来源内容 · 翻译待补全待翻译:9 Best AI Gateways in 2026: Bifrost, Portkey, LiteLLM, Kong and 5 More Ranked
待翻译:Liquid AI Releases LFM2.5-24B-A2B: A 2B-Active MoE for On-Device Agents

AI 服务暂时不可用,以下为来源摘要,待恢复后补全翻译: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.

MarkTechPostAgent / 模型来源内容 · 翻译待补全待翻译:Liquid AI Releases LFM2.5-24B-A2B: A 2B-Active MoE for On-Device Agents
待翻译:How Block is building AI-powered security with OpenAI technology

AI 服务暂时不可用,以下为来源摘要,待恢复后补全翻译:Block is building AI-powered security with OpenAI. Its security team investigates threats faster and proposes patches in minutes.

OpenAI NewsAgent来源内容 · 翻译待补全待翻译:How Block is building AI-powered security with OpenAI technology
待翻译:How Third Moment Research runs 10,000 agents for 36+ hours

AI 服务暂时不可用,以下为来源摘要,待恢复后补全翻译: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.

OpenAI NewsAgent / 研究 / 模型来源内容 · 翻译待补全待翻译:How Third Moment Research runs 10,000 agents for 36+ hours
待翻译:Navige

AI 服务暂时不可用,以下为来源摘要,待恢复后补全翻译:Discussion | Link

Product Hunt AIAgent来源内容 · 翻译待补全待翻译:Navige
待翻译:From Enterprise to Earthshot: UK’s Ecosystem Moves From Ambition to Application With NVIDIA

AI 服务暂时不可用,以下为来源摘要,待恢复后补全翻译: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 […]

NVIDIA BlogAgent / 政策来源内容 · 翻译待补全待翻译:From Enterprise to Earthshot: UK’s Ecosystem Moves From Ambition to Application With NVIDIA
待翻译:European Cities Deploy NVIDIA-Powered AI Agents to Run Smarter Urban Operations

AI 服务暂时不可用,以下为来源摘要,待恢复后补全翻译: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 […]

NVIDIA BlogAgent来源内容 · 翻译待补全待翻译:European Cities Deploy NVIDIA-Powered AI Agents to Run Smarter Urban Operations
待翻译:[AINews] AI Engineer NYC: Gemini 4 Argon, Vals AI Benchmarks

AI 服务暂时不可用,以下为来源摘要,待恢复后补全翻译: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.

Latent Space模型 / 研究 / Agent来源内容 · 翻译待补全待翻译:[AINews] AI Engineer NYC: Gemini 4 Argon, Vals AI Benchmarks
待翻译:Is the internet finally unusable? Time to go back to faxes and landlines | First Dog on the Moon

AI 服务暂时不可用,以下为来源摘要,待恢复后补全翻译: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...

The Guardian AI工具来源内容 · 翻译待补全待翻译:Is the internet finally unusable? Time to go back to faxes and landlines | First Dog on the Moon
待翻译:RoleFit

AI 服务暂时不可用,以下为来源摘要,待恢复后补全翻译:Discussion | Link

Product Hunt AI工具来源内容 · 翻译待补全待翻译:RoleFit
待翻译:Google Releases Gemini 4 Argon API With 1M Token Output Limit

AI 服务暂时不可用,以下为来源摘要,待恢复后补全翻译: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.

MarkTechPost模型 / Agent来源内容 · 翻译待补全待翻译:Google Releases Gemini 4 Argon API With 1M Token Output Limit
待翻译:PixLate

AI 服务暂时不可用,以下为来源摘要,待恢复后补全翻译:Discussion | Link

Product Hunt AI工具来源内容 · 翻译待补全待翻译:PixLate
待翻译:WriterzRoom

AI 服务暂时不可用,以下为来源摘要,待恢复后补全翻译:Discussion | Link

Product Hunt AIAgent来源内容 · 翻译待补全待翻译:WriterzRoom
待翻译:Gemini 4 Argon Hands-On Review: Capabilities and Performance

AI 服务暂时不可用,以下为来源摘要,待恢复后补全翻译: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.

Analytics Vidhya模型 / Agent / 研究来源内容 · 翻译待补全待翻译:Gemini 4 Argon Hands-On Review: Capabilities and Performance
待翻译:AI can act exactly like a human, but we still don't think it's conscious

AI 服务暂时不可用,以下为来源摘要,待恢复后补全翻译: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.

ScienceDaily AIAgent / 研究来源内容 · 翻译待补全待翻译:AI can act exactly like a human, but we still don't think it's conscious
待翻译:Fish Audio Drama 3

AI 服务暂时不可用,以下为来源摘要,待恢复后补全翻译:Discussion | Link

Product Hunt AI工具来源内容 · 翻译待补全待翻译:Fish Audio Drama 3
待翻译:Modal crosses $1B in Annualized Run Rate and raises $750M Series D

AI 服务暂时不可用,以下为来源摘要,待恢复后补全翻译: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.

Modal Blog创业融资 / Agent来源内容 · 翻译待补全待翻译:Modal crosses $1B in Annualized Run Rate and raises $750M Series D
待翻译:Code-Switching Detection via Language-Selective Dimensions in Speech Foundation Models

AI 服务暂时不可用,以下为来源摘要,待恢复后补全翻译: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…

Apple Machine Learning Research模型 / 研究来源内容 · 翻译待补全待翻译:Code-Switching Detection via Language-Selective Dimensions in Speech Foundation Models
待翻译:The Design Space of Tri-Modal Masked Diffusion Models

AI 服务暂时不可用,以下为来源摘要,待恢复后补全翻译: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…

Apple Machine Learning Research模型 / 研究来源内容 · 翻译待补全待翻译:The Design Space of Tri-Modal Masked Diffusion Models
待翻译:PathSeer: Adaptive Filtered Vector Search

AI 服务暂时不可用,以下为来源摘要,待恢复后补全翻译: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.

Weaviate Blog研究来源内容 · 翻译待补全待翻译:PathSeer: Adaptive Filtered Vector Search
待翻译:The EU’s next chapter in AI is agentic

AI 服务暂时不可用,以下为来源摘要,待恢复后补全翻译:New analysis shows how agentic AI adoption is growing across EU enterprises and small businesses—and where deeper use could unlock more value.

OpenAI NewsAgent / 研究来源内容 · 翻译待补全待翻译:The EU’s next chapter in AI is agentic
待翻译:Use of AI in job interviews on the rise – but UK recruiters say they can spot the cheats

AI 服务暂时不可用,以下为来源摘要,待恢复后补全翻译: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...

The Guardian AI工具来源内容 · 翻译待补全待翻译:Use of AI in job interviews on the rise – but UK recruiters say they can spot the cheats
待翻译:Redesigning source control at Anthropic

AI 服务暂时不可用,以下为来源摘要,待恢复后补全翻译: 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 code review…

Simon Willison's Weblog模型 / Agent / 研究来源内容 · 翻译待补全待翻译:Redesigning source control at Anthropic
待翻译:Meta Launches Muse Wonder and Muse Wonder Full: Benchmarks, Pricing and How to Use It

AI 服务暂时不可用,以下为来源摘要,待恢复后补全翻译: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.

MarkTechPost研究 / Agent来源内容 · 翻译待补全待翻译:Meta Launches Muse Wonder and Muse Wonder Full: Benchmarks, Pricing and How to Use It
待翻译:llm-gemini 0.35

AI 服务暂时不可用,以下为来源摘要,待恢复后补全翻译: 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 double in pric…

Simon Willison's Weblog模型 / Agent / 研究来源内容 · 翻译待补全待翻译:llm-gemini 0.35
待翻译:How to Use Meta’s Rebalancer for Task Placement & Optimization

AI 服务暂时不可用,以下为来源摘要,待恢复后补全翻译: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.

MarkTechPost研究来源内容 · 翻译待补全待翻译:How to Use Meta’s Rebalancer for Task Placement & Optimization
待翻译:OpenAI employee arrested after recording device found in office

AI 服务暂时不可用,以下为来源摘要,待恢复后补全翻译: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...

The Guardian AIAgent来源内容 · 翻译待补全待翻译:OpenAI employee arrested after recording device found in office
待翻译:How artificial neural networks build their own learning machinery

AI 服务暂时不可用,以下为来源摘要,待恢复后补全翻译: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.

MIT News AI研究来源内容 · 翻译待补全待翻译:How artificial neural networks build their own learning machinery