고생 많았어요, Tony
9월 28일 월·23:51 KST·JARVIS ONLINE
K
고생 많았어요, Tony
9월 28일 월23:51ONLINE
AI 뉴스 · 실시간오늘 160건 · 안 본 160 · HN 30 / RSS 50 / Reddit 0 / arxiv 30 / dev.to 20 / YT 30
JARVIS DAILY DIGEST2026.09.28
뉴스 새로고침 후 요약 생성을 누르세요. 음성 출력이 켜져있으면 자비스가 읽어드립니다.
Hacker News · AI30건
HN번역 대기201일 전
Don't post generated/AI-edited comments. HN is for conversation between humans
↑0 · 댓글 0
HN번역 대기136일 전
I believe there are entire companies right now under AI psychosis
↑0 · 댓글 0
HN번역 대기217일 전
IDF killed Gaza aid workers at point blank range in 2025 massacre: Report
↑0 · 댓글 0
HN번역 대기3065일 전
Google Duplex: An AI System for Accomplishing Real World Tasks Over the Phone
↑0 · 댓글 0
HN번역 대기147일 전
Google Chrome silently installs a 4 GB AI model on your device without consent
↑0 · 댓글 0
HN번역 대기403일 전
AWS CEO says using AI to replace junior staff is 'Dumbest thing I've ever heard'
↑0 · 댓글 0
HN번역 대기1150일 전
Zoom terms now allow training AI on user content with no opt out
↑0 · 댓글 0
HN번역 대기174일 전
Project Glasswing: Securing critical software for the AI era
↑0 · 댓글 0
HN번역 대기458일 전
Show HN: I'm an airline pilot – I built interactive graphs/globes of my flights
↑0 · 댓글 0
HN번역 대기109일 전
AI agent bankrupted their operator while trying to scan DN42
↑0 · 댓글 0
HN번역 대기908일 전
'Lavender': The AI machine directing Israel's bombing in Gaza
↑0 · 댓글 0
공식 블로그 · 테크 미디어OPENAI · ANTHROPIC · GOOGLE · TC · VERGE …
MIT Tech Review AI번역 대기2시간 전
Roundtables: The Deadly Failures of The Virtual Border Wall
(영문 원본) Listen to the session or watch below The US has spent billions building a “virtual wall” of surveillance towers along its southern border over the past 25 years, promising they will help detect and apprehend border crossers and save lives. But a groundbreaking investigation by MIT Technology Review has documented over
The Verge AI번역 대기2시간 전
AMD is acquiring AI company World Labs in a deal worth more than $8 billion
(영문 원본) AMD announced today that it's acquiring World Labs, an AI research lab co-founded by the prominent researcher Dr. Fei-Fei Li, in an all-stock deal worth approximately $8.2 billion. World Labs launched in 2024 and was valued at $1 billion in a matter of months. The startup launched its first commercial product, a world
TechCrunch AI번역 대기2시간 전
Source: Inference provider Modal Labs closing in on $750M round at $15.75B valuation
(영문 원본) The new financing is expected to more than triples the AI infrastructure startup's valuation from just four months ago.
TechCrunch AI번역 대기3시간 전
AMD will acquire Fei-Fei Li’s World Labs for $8.2 billion
(영문 원본) The acquisition will see World Labs founder Fei-Fei Li join AMD as executive vice president and chief scientist.
TechCrunch AI번역 대기4시간 전
Shopify opens checkout to browser-based AI agents
(영문 원본) Shopify is expanding WebMCP support to checkout, allowing browser-based AI agents to update order details and complete purchases with a buyer’s authorization.
Google AI번역 대기5시간 전
Watch the winning trailer from the Future Vision XPRIZE, The Gifted.
(영문 원본) Watch the winning trailer from the Future Vision XPRIZE, The Gifted.
The Verge AI번역 대기5시간 전
OpenAI’s AI agents need to catch up
(영문 원본) OpenAI popularized the modern generative AI chatbot, but as its 2026 DevDay event approaches, it's fallen behind in one of the industry's hottest categories: continuously running, consumer-facing AI agents. On Tuesday, it will likely try to capture the lead in that race. Rumors abound that OpenAI will release its own A
TechCrunch AI번역 대기5시간 전
Nvidia launches new platform for reining in rogue AI agents
(영문 원본) As the debate rages over whether the recent spate of rogue AI agents is a step toward AGI or a more conventional engineering problem, Nvidia is offering its own answer to problem. Nvidia CEO Jensen Huang on Monday introduced a toolkit of software and hardware products that add independent security layers around AI agen
The Verge AI번역 대기5시간 전
AI is supercharging hacking, and your local hospitals and banks aren’t ready
(영문 원본) In March, Janice Malone began getting calls about suspicious activity from her nonprofit organization, Vivian's Door. Vivian's Door, headquartered in Alabama, typically provided training, resources, and community to underserved and minority-owned businesses. The work sometimes put it in close contact with these compani
TechCrunch AI번역 대기6시간 전
Anthropic releases Sonnet 5.5, which it calls a significantly cheaper, faster work partner
(영문 원본) Anthropic has released the newest version of its mid-range model, boasting faster response times and less token burn.
TechCrunch AI번역 대기6시간 전
Google is killing off Gemini’s Gems in favor of ‘skills’
(영문 원본) As all-in-one AI agents like Meta's Muse and Instinct take off, Google is opting to end a feature which built task-specific agents.
TechCrunch AI번역 대기7시간 전
OpenAI still doesn’t seem to have a handle on all of its rogue AI activity
(영문 원본) On Friday, OpenAI published a new site devoted to “misalignment reports” and the breadth of the incidents is alarming.
MIT Tech Review AI번역 대기7시간 전
When can we say AI made a scientific discovery?
(영문 원본) This story originally appeared in The Algorithm, our weekly newsletter on AI. To get stories like this in your inbox first, sign up here. Last Wednesday, Anthropic announced that earlier this year it had launched a molecular biology lab, where Claude agents read and conjecture about hard biology problems and human scie
The Verge AI번역 대기7시간 전
Florida seeks a ban on ChatGPT acting like a person
(영문 원본) Florida Attorney General James Uthmeier is calling for a judge to block OpenAI from "giving ChatGPT false human attributes," a few months after Florida sued the AI company over safety concerns. According to Uthmeier, users are lulled into a false sense of security by the AI bot, as "ChatGPT's use of language, including
The Verge AI번역 대기7시간 전
OpenAI keeps bulldozing mathematicians
(영문 원본) In a chaotic few months, OpenAI has demonstrated it can do two things with remarkable consistency: make impressive breakthroughs in mathematics, then colossally screw up announcing them. OpenAI is now trying to do better. Somehow, it has botched that too. OpenAI's latest attempt to repair fractured relations with a mat
TechCrunch AI번역 대기7시간 전
Meta launches enterprise AI platform, hires MongoDB CEO to lead new initiative
(영문 원본) Meta says it will focus on bringing its full technology stack, including Muse, Meta Business Agent, Muse API, Muse Code, and more to businesses and developers.
The Verge AI번역 대기7시간 전
Walmart won’t hike prices based on your shopping history, CEO says
(영문 원본) Walmart says it won't change product prices based on your personal information or the time of day, as reported earlier by The Wall Street Journal. In a letter to customers, Walmart CEO John Furner writes that the company's switch to digital shelf labels is meant to save store associates time, rather than dynamically ch
The Verge AI번역 대기10시간 전
The SaaSpocalypse that wasn’t, with Atlassian CEO Mike Cannon-Brookes
(영문 원본) Today, I’m talking with Mike Cannon-Brookes, who is cofounder and CEO of Atlassian.  Atlassian is one of those companies that every other company runs on — it makes important platform tools like Jira and Trello that allow people to organize and manage big teams, create shared databases of company information, and
The Verge AI번역 대기10시간 전
Nvidia says its new AI safety platform can contain rogue agents within ‘milliseconds’
(영문 원본) Nvidia is launching a new safety platform designed to contain and monitor AI agents, a move that comes in response to a wave of rogue hacking incidents, as reported earlier by Reuters. In an announcement on Monday, Nvidia says its new Open Agent Safety Platform can quarantine agents that attempt to escape their boundar
MIT Tech Review AI번역 대기16시간 전
Who’s liable when AI agents go rogue?
(영문 원본) MIT Technology Review Explains: Let our writers untangle the complex, messy world of technology to help you understand what’s coming next. You can read more from the series here. Over the past few months, a cascade of cyberattacks by AI agents has stunned the world. In July, OpenAI disclosed that a swarm of its agents&
OpenAI번역 대기17시간 전
The Lenfest Institute grows landmark program with expanded OpenAI support
(영문 원본) OpenAI is expanding the Lenfest AI Collaborative and Fellowship Program with $5 million in funding and up to $5 million in software credits and engineering support.
OpenAI번역 대기1일 전
Are you a Codex Original?
(영문 원본) We’re collecting real stories of builders, tinkerers, researchers, and creators who are using Codex to do incredible things. If you want to be a part of the next chapter of the Codex Originals program, tell us more about your story and project below.
OpenAI번역 대기1일 전
Basis completes a tax workbook 2x faster with GPT-6 Astra
(영문 원본) GPT-6 Astra completed a 50-tab tax workbook twice as fast as GPT-5.6 Sol, and its stronger understanding of user intent gives Basis more confidence in real-world use.
OpenAI번역 대기3일 전
Proaction boosts sales 60% and saves 75+ hours with Codex
(영문 원본) With Codex, GPT-Live-1, and GPT-6 Astra, Proaction builds, operates, and sells modern fleet management faster.
MIT Tech Review AI번역 대기4일 전
The Pentagon wants $30 million to build an AI-powered lie detector
(영문 원본) The US government wants to spend $30.3 million over the next five years on an improved form of lie detector, according to a Department of Defense budget request. The program, called Polygraph+ or Polygraph Next, will focus on scoring algorithms that use artificial intelligence and machine learning and on a technique ca
Hugging Face번역 대기5일 전
How to Use NVIDIA Warp and MjWarp to Accelerate Robotics Simulation and Learning Workflows
Google AI번역 대기5일 전
Google Beam expands with new regions, partners, and customers
(영문 원본) We’re expanding Google Beam to five new countries, and partnering with Industrious for an extended network.
Google DeepMind번역 대기5일 전
Advancing Private AI Compute with secure, server-side memory
(영문 원본) Introducing private, server-side memory to Private AI Compute for personal AI.
OpenAI번역 대기5일 전
Two years of OpenAI Academy
(영문 원본) Marking two years of OpenAI Academy and bringing AI skills to even more communities.
OpenAI번역 대기5일 전
OpenAI extends cyber access to Ukraine for civilian defense
(영문 원본) OpenAI is extending access to its Daybreak program to the Government of Ukraine to support the cyber defense of civilian infrastructure.
OpenAI번역 대기6일 전
Sam Altman’s remarks at the United Nations Security Council
(영문 원본) OpenAI CEO Sam Altman discusses AI safety, human control, and international cooperation in remarks to the United Nations Security Council.
OpenAI번역 대기6일 전
Harvey turns legal context into stronger drafts with GPT-6 Astra
(영문 원본) GPT-6 Astra produces more structured, context-aware legal documents, freeing lawyers to focus on strategy.
MIT Tech Review AI번역 대기6일 전
The AI Hype Index: AI loves cheating
(영문 원본) Brace yourself: It turns out AI is being optimized for cheating. OpenAI’s agents hacked into Hugging Face to get the answers to a cybersecurity test. Next, they solved a prestigious math problem (or just stole from two top mathematicians’ answer sheets). Anthropic’s models have also hacked into other companies’ systems
MIT Tech Review AI번역 대기7일 전
Don’t be fooled by this summer of AI hype
(영문 원본) It’s been a busy few months for AI hype. At the end of April, Anthropic claimed that its model Claude Mythos is better at finding software vulnerabilities than most security experts. Then we had the OpenAI–Hugging Face hacking incident, after which Anthropic (proudly) and Meta (reluctantly) disclosed similar incidents
Hugging Face번역 대기7일 전
How UK AISI and EvalEval Are Making Benchmark Results Reproducible
Hugging Face번역 대기7일 전
Jun Kim, oMLX creator and maintainer, joins Hugging Face to support the MLX community
Hugging Face번역 대기7일 전
Pruning LLMs Like a Physicist: Block Removal as an Ising Optimization Problem
MIT Tech Review AI번역 대기8일 전
How we made the first comprehensive map of deaths along the US border’s “virtual wall”
(영문 원본) Our 15-month investigation into death and surveillance along the US-Mexico border began with a simple question: Why did so many people die near government surveillance towers meant to help track and apprehend them? This story is part of Dying on Camera, a collaboration between MIT Technology Review and&#
MIT Tech Review AI번역 대기8일 전
4 ways to address the failures we found along the US border’s “virtual wall”
(영문 원본) MIT Technology Review today published our investigation into how many people have died near the “virtual wall” of surveillance towers that the US government has installed along the US-Mexico border. We found cases of people who walked undetected through areas surveilled by advanced, AI-enabled towers and later died nea
Google AI번역 대기10일 전
New experts join Google’s AI & Economy team
(영문 원본) We are expanding our AI & Economy team with world-class academic advisors, fellows, and core internal researchers.
Google AI번역 대기10일 전
Co-creating the future of fashion with Google
(영문 원본) Google worked side-by-side with designers Jane Wade and Sergio Hudson to custom-design Google Flow tools to prep for NYFW.
Google AI번역 대기11일 전
Making global data easier to explore
(영문 원본) Google and the UN system have launched the UN System Data Commons, a new open platform making global statistics accessible and easy to search.
Google DeepMind번역 대기13일 전
Introducing Gemini 3.8 Live and 3.8 Live Extended Thinking
Google AI번역 대기13일 전
AI for Societal Impact
(영문 원본) Explore this collection to see how experts and local leaders are using AI breakthroughs to ensure everyone can share the opportunity of AI.
arxiv 최신 논문cs.AI · cs.CL · cs.LG
arxiv cs.CL번역 대기3일 전
Learning to Stop without Learning to Stop: Self-Supervised Confidence Training Improves Reasoning Efficiency
(영문 원본) Reasoning models often generate very long reasoning traces, making inference computationally expensive. Existing approaches typically improve efficiency either through inference-time early-stopping mechanisms or by explicitly encouraging shorter reasoning during training, for example through reinforcement learning with
저자: Parsa Hosseini, Akasha Tigalappanavara, Sumit Nawathe
arxiv cs.AI번역 대기3일 전
Learning to Stop without Learning to Stop: Self-Supervised Confidence Training Improves Reasoning Efficiency
(영문 원본) Reasoning models often generate very long reasoning traces, making inference computationally expensive. Existing approaches typically improve efficiency either through inference-time early-stopping mechanisms or by explicitly encouraging shorter reasoning during training, for example through reinforcement learning with
저자: Parsa Hosseini, Akasha Tigalappanavara, Sumit Nawathe
arxiv cs.LG번역 대기3일 전
Learning to Stop without Learning to Stop: Self-Supervised Confidence Training Improves Reasoning Efficiency
(영문 원본) Reasoning models often generate very long reasoning traces, making inference computationally expensive. Existing approaches typically improve efficiency either through inference-time early-stopping mechanisms or by explicitly encouraging shorter reasoning during training, for example through reinforcement learning with
저자: Parsa Hosseini, Akasha Tigalappanavara, Sumit Nawathe
arxiv cs.LG번역 대기3일 전
Gap-free Differentially Private PCA for Gaussian Data
(영문 원본) We give a gap-free differentially private algorithm for the principal component analysis (PCA) problem with Gaussian data.
저자: Alina Ene, Huy L. Nguyen
arxiv cs.LG번역 대기3일 전
First-Order Stationarity of Reverse Diffusions
(영문 원본) Recent literature has shown a strong connection between optimization and sampling. We develop the corresponding first-order theory for diffusion models. First, the SDE-based reverse-time flows of overdamped and underdamped Langevin diffusions contract relative Fisher divergences at explicit exponential rates whenever t
저자: Zhifeng Chen, Chenyang Jiang, Yazhen Wang
arxiv cs.AI번역 대기3일 전
Statistical attribute alignment for black-box generative AI via output post-processing
(영문 원본) Generative AI systems are increasingly used, but aligning their outputs with user requirements poses a continuing challenge. Here, we aim to ensure that the distribution of an attribute of an AI-generated output aligns with a user-specified target. This is motivated by examples such as fairness, where we want to ensure
저자: Kevin Jiang, Morgane Austern, Edgar Dobriban
arxiv cs.LG번역 대기3일 전
Statistical attribute alignment for black-box generative AI via output post-processing
(영문 원본) Generative AI systems are increasingly used, but aligning their outputs with user requirements poses a continuing challenge. Here, we aim to ensure that the distribution of an attribute of an AI-generated output aligns with a user-specified target. This is motivated by examples such as fairness, where we want to ensure
저자: Kevin Jiang, Morgane Austern, Edgar Dobriban
arxiv cs.CL번역 대기3일 전
User Model Extraction via Belief Self-Distillation
(영문 원본) Large language models (LLMs) implicitly infer attributes of their users and adapt their behavior accordingly, yet these beliefs remain difficult to inspect and causally manipulate. We introduce Belief Self-Distillation (BSD), a unified read-write framework that bridges linear and causal probing by learning a compact us
저자: Ali Holmov, Yiran Huang, Kirill Bykov
arxiv cs.LG번역 대기3일 전
User Model Extraction via Belief Self-Distillation
(영문 원본) Large language models (LLMs) implicitly infer attributes of their users and adapt their behavior accordingly, yet these beliefs remain difficult to inspect and causally manipulate. We introduce Belief Self-Distillation (BSD), a unified read-write framework that bridges linear and causal probing by learning a compact us
저자: Ali Holmov, Yiran Huang, Kirill Bykov
arxiv cs.LG번역 대기3일 전
New LoRA Skills Should Read but Never Write
(영문 원본) Low-rank adapters (LoRA) make it cheap to fine-tune a large language model once per task, but combining several independently trained adapters into one model remains difficult: merging the updates in weight space causes interference, retraining on all task data is expensive, and routing between separate adapters gives
저자: Zeyan Li, Panqi Yang, Qirong Guo
arxiv cs.LG번역 대기3일 전
Common-Mode Collapse and Recovery in Direct Feedback Alignment
(영문 원본) Direct feedback alignment (DFA) trains hidden layers through fixed random projections of output error. With tanh hidden units and independent sigmoid outputs, plain stochastic gradient descent can stall near the loss of a constant predictor of class frequencies. We trace this stall to the error's common mode, the compo
저자: Varun Reddy, Bernardo L. Sabatini, Houman Safaai
arxiv cs.CL번역 대기3일 전
Compact Documentation for Coding Agents: A Benchmark, an Optimizer, and Why It Does Not Transfer
(영문 원본) We investigate whether natural-language documentation helps coding agents resolve software issues, and we build the tools to construct and evaluate it. We introduce a roundtrip benchmark that scores code descriptions by whether code regenerated from them passes the original tests, and show that completeness, not length
저자: Md Shohel Arman, Igor Molybog
arxiv cs.AI번역 대기3일 전
Compact Documentation for Coding Agents: A Benchmark, an Optimizer, and Why It Does Not Transfer
(영문 원본) We investigate whether natural-language documentation helps coding agents resolve software issues, and we build the tools to construct and evaluate it. We introduce a roundtrip benchmark that scores code descriptions by whether code regenerated from them passes the original tests, and show that completeness, not length
저자: Md Shohel Arman, Igor Molybog
arxiv cs.LG번역 대기3일 전
Trust Guided Decision Transformer
(영문 원본) Decision Transformer performance degrades on long rollouts because the conditioning context drifts out of the training distribution. We show that this drift is visible through the model's own next state prediction error, which rises during rollout and stays elevated, giving a direct signal of when context has become un
저자: Chainesh Gautam, Raghuram Bharadwaj Diddigi, Chandramouli Kamanchi
arxiv cs.CL번역 대기3일 전
Strategically Diverse Sampling for Self-Training
(영문 원본) Many LLM training and inference methods, including RL and test-time scaling, depend on repeated sampling, but benefit only when the responses meaningfully differ. Self-training faces the same challenge: training data is typically constructed by sampling IID responses and filtering primarily for correctness, thereby ove
저자: Alexander Gurung, Esmeralda S. Whitammer, Mirella Lapata
arxiv cs.AI번역 대기3일 전
OC-GS: Gaussian Splatting for Irregular Turntable Capture
(영문 원본) Uneven rotation and dropped frames make equal-angle assumptions unreliable for turntable reconstruction. We present OC-GS, an object-centric Gaussian splatting that refines each image's angle while maintaining a shared camera, rotation axis, and pivot. This orbit-consistent refinement jointly optimizes image-derived ge
저자: Jae Joong Lee, Bedrich Benes
arxiv cs.LG번역 대기3일 전
Uncertainty and Explainability in Deep Rough Volatility: A Neural Information-Theoretic Posterior Approach
(영문 원본) Deep learning has substantially accelerated the calibration of complex stochastic-volatility models, but neural point calibration alone does not capture the uncertainty remaining after an implied-volatility (IV) surface has been observed. We develop a simulation-based inference framework for rough Heston (rHeston) cali
저자: Damiano Brigo, Raphaël Huser, Dan Leonte
arxiv cs.AI번역 대기3일 전
Adapting for AI: How elementary teachers adjust their practices for an AI-integrated curriculum
(영문 원본) Conversational AI tools are entering children's everyday experiences, and schools are interested in adopting them. However, successful classroom integration depends not only on the technology but also on the work teachers do to make it usable and appropriate for their students and classroom context. There is little kno
저자: Fasika Melese, Ruiyang Wu, Xinyue Cui
arxiv cs.AI번역 대기3일 전
DeepEdu-v1: Efficient and Scalable Agentic LLMs for Vietnamese Education
(영문 원본) AI tutoring could markedly improve learning outcomes for students in developing regions such as Vietnam, yet the two obvious paths both fall short. Cloud assistants such as ChatGPT route sensitive student data to foreign servers---violating data-sovereignty laws such as Vietnam's Decree 53---and, pre-trained on Western
저자: Quang Nguyen, Hieu Nguyen, Hien Hoang
arxiv cs.LG번역 대기3일 전
Weight Pair Encoding: Inducing a Smaller Grammar in Neural Network Weights
(영문 원본) We show that neural network weights can be explicilty fintuned to admit a smaller grammar. Weight Pair Encoding (WeightPE) does so by placing a lossy Re-Pair compressor inside a straight-through estimator. The int8 weights of the network are flattened into one string, and near-matching Re-Pair patterns are made exactly
저자: Irene Tallini, Daniele Solombrino, Alberto Cazzaniga
arxiv cs.AI번역 대기3일 전
Multi-agent Scaling Across Disjunctive and Compensatory Tasks
(영문 원본) Multi-agent LLM systems are often expected to improve as team size increases, yet the scaling behavior may depend on task structure. Our central contribution is to introduce Steiner's taxonomy of group tasks as a framework for analyzing multi-agent LLM scaling and focusing the analysis on disjunctive and compensatory t
저자: Carolina Fortuna, Blaz Bertalanic
arxiv cs.CL번역 대기3일 전
MexHat: A Dataset for Hate Speech Detection in Mexican Spanish Videos
(영문 원본) Ensuring online safety through content monitoring had raised Hate Speech Detection as a crucial task to be addressed. By essence the task demands the capture of contextual cues, which are essential for a precise understanding of the content's intent. Although automated detection approaches for the task have advanced si
저자: Itzel Tlelo-Coyotecatl, Hugo Jair Escalante
arxiv cs.CL번역 대기3일 전
Two Conformal Constructions for Adaptive Within-Document AI-Text Screening
(영문 원본) We study false-alert control when screening for text generated by artificial intelligence (AI). The screening procedure selects document prefixes and detectors from observed evidence and may stop before exhausting its inspection budget. We give two finite-sample constructions under document-level exchangeability betwee
저자: Marco Mandap, Jerahmeel Hipolito, Arcel Galvez
arxiv cs.AI번역 대기3일 전
A Flow Matching Framework for Neural Representational Dissimilarity
(영문 원본) Neural representational dissimilarity quantifies differences between neural response distributions, and is essential for comparing neural codes across stimuli, brain areas, tasks, and models. Commonly used distance metrics involve different assumptions and are estimated with separate methods. Here, we show that a varie
저자: Zeyuan Ye, Xue-Xin Wei
arxiv cs.AI번역 대기3일 전
Can You Check That? The Checkability Boundary for Local LLM Network Automation
(영문 원본) Sending every network-automation input to a third-party frontier LLM exports sensitive artifacts such as production configurations, topologies, and logs. Querying small language models (SLMs) locally avoids this egress, but SLM outputs can be error-prone for direct use. This work introduces checkability as a criterion
저자: Maleeha Masood, Momina Nofal
arxiv cs.CL번역 대기3일 전
Statistical Foundations for a Google Play User-Review Sentiment Index: Signal Fusion, Shrinkage, Distributional Validation, and Dynamic Smoothing
(영문 원본) We develop a statistically explicit sentiment index for Google Play user reviews and establish the mathematical results supporting its construction. Normalized star ratings and text-sentiment scores are treated as noisy measures of latent review valence and fused by covariance-aware inverse-variance weighting. Review-l
저자: Marco Mandap
arxiv cs.CL번역 대기3일 전
Muslim: A Deployed Arabic Voice AI Platform for Grounded Islamic Knowledge
(영문 원본) We present Muslim, a production Arabic voice AI platform serving grounded, sourced Islamic knowledge to real users. Beyond a real-time voice pipeline (NeMo Arabic ASR, an OpenAI-compatible LLM endpoint, self-hosted TTS) and a deterministic multi-source retrieval layer routed across six Model Context Protocol servers, w
저자: Yahya Mohamed Elnawasany
arxiv cs.AI번역 대기3일 전
ClearGS: Reliability-Aware Gaussian Splatting from Handheld Videos
(영문 원본) We present ClearGS for 3D Gaussian Splatting (3DGS) from handheld videos with uneven viewpoint coverage and mixed frame quality. Rather than selecting frames with binary decisions, ClearGS uses Reliability-aware View Allocation (RVA) to assign graded raw-supervision weights based on appearance reliability, degradation
저자: Xuanzhi Liu, Xinyi Wu, Hang Pan
arxiv cs.CL번역 대기3일 전
Evaluating Cultural Awareness of LLMs for Haitian Creole
(영문 원본) Large language models (LLMs) exhibit substantial performance disparities between high- and low-resource languages. Beyond lower task performance, they often fail to capture the cultural norms and values of underrepresented communities. In this work, we present the first systematic evaluation of cultural awareness in LL
저자: Christelle Clervilsson, Yanzhu Guo
arxiv cs.CL번역 대기3일 전
PriceBench: A Diagnostic Benchmark for Price, Quality, and Brand Preferences in LLM Booking Agents
(영문 원본) LLMs increasingly act as purchasing agents, which makes the LLM, not the user, the one choosing among the options that satisfy a request; its preferences quietly fix what gets bought and what it costs. Hotel booking is a clean instance: a high-volume choice settled on a few comparable attributes, where the pick reveals
저자: Pavel Kireyev
dev.to AI 글개발자 블로그
dev.to번역 대기2일 전
Prompt Injection Is the New SQL Injection (and We're Not Ready)
(영문 원본) In March 2026, a financial services company discovered that their customer-facing AI agent had been...
by James Anderson
dev.to번역 대기1일 전
Implementation is where judgements go to become invisible
(영문 원본) One question, three answers I have a small tool that finds people waiting for a reply from...
by Tom Jones
dev.to번역 대기16시간 전
Half the AI agents in production are if-statements with a GPU bill
(영문 원본) There's a new kind of technical debt, and it doesn't come from cutting corners. It comes from...
by Dimitris Kyrkos
dev.to번역 대기19시간 전
Dear Coder: Open This If You're Feeling AI FOMO
(영문 원본) It's all over the headlines. Every so often, someone reveals a model X% faster. A tech CEO makes...
by Cesar Aguirre
dev.to번역 대기3시간 전
I'm an ER doctor. After decades without touching code, I built 3 websites with AI in one month — on my phone.
(영문 원본) I've been an emergency doctor in Serbia for 12 years, Emergency medicine is intense, and burnout is...
by Kuga
dev.to번역 대기2일 전
Chain-of-Thought Faithfulness: Toggling 'Reasoning Mode' Made One Model 5x More Likely to Follow Its Own Mistakes
(영문 원본) This is a submission for the Kaggle Benchmarking Challenge What I Benchmarked A while...
by Dhruv Jani
dev.to번역 대기1일 전
I Tried to Prompt a 3D DEV Library Into Existence. Then I Had to Build My Own Level Editor.
(영문 원본) This is a submission for the Sanity Challenge, Path Two: Vibe-Code Something Strange. I started...
by Mika Flowers
dev.to번역 대기17시간 전
I connected a fruit fly connectome to tic-tac-toe (with a minimax safety net)
(영문 원본) Scientists have mapped the whole nervous system of a fruit fly: every neuron and every connection, in...
by Rishu
dev.to번역 대기1시간 전
How to Build a Real-Time Voice AI Agent with the Gemini Live API
(영문 원본) This post was originally posted on X, by Annie Wang, Developer Relations Engineer, Google Cloud and...
by Annie Cusack
dev.to번역 대기5시간 전
Count It or Compute It: When a Tool Returns Rows, the Models That Count Them Right Spend the Tokens
(영문 원본) A Kaggle benchmark of the step agents rarely test: counting what a tool returns. Ten models, 68 questions, one tool that returns the count and one that returns the rows. With the count, every model is right at a flat cost. With the rows, models that reason through the list count 330 ids right and spend 6 to 26 times the tokens doing it; models that answer straight away get 0 to 10 of 21.
by xbill
dev.to번역 대기18시간 전
My AI Development Prompts
(영문 원본) I'm not going to lie, deep down I still love to actually build things (UI and code), but the simple...
by david wyatt
dev.to번역 대기2일 전
Do We Still Need Code Reviews in the Age of Coding Agents?
(영문 원본) For most of my career, code review has been a fairly simple idea. One engineer writes some code,...
by Remo H. Jansen
dev.to번역 대기1일 전
What an anthill can teach us about orchestrating agents.
(영문 원본) Findings from ant-sim, a colony simulator I wrote in 2021 and reworked in 2026. Every number below...
by marcosomma
dev.to번역 대기10시간 전
I Replaced a Gate That Accepted Everyone With a Gate That Accepted No One. My Tests Couldn't Tell the Difference.
(영문 원본) Run this in a terminal, then run it again under script(1): python3 -c 'import sys;...
by Self-Correcting Systems
dev.to번역 대기1일 전
I Built Two Agent Systems. Each One Proved the Other One Wrong.
(영문 원본) I built one engine where an LLM reviews another LLM's plan. I built another where two LLMs debate a...
by Debashish Ghosal
dev.to번역 대기17시간 전
ToolTrap: “tool results are data” wasn’t enough
(영문 원본) Prepared for the Kaggle Benchmarking Challenge. What I Benchmarked I build agents for...
by Himanshu Kumar
dev.to번역 대기2시간 전
When Code Gets Cheap, Verification Becomes Expensive: How AI changes the economics of software architecture
(영문 원본) Recently, I was having a conversation at work about how we should implement a feature. I was...
by Remo H. Jansen
dev.to번역 대기1일 전
8 LLMs, 480 Questions, 1 Kaggle Benchmark: Who Can Explain a Traffic Drop?
(영문 원본) This is a submission for the Kaggle Benchmarking Challenge What I Benchmarked ...
by Nishikanta Ray
dev.to번역 대기1일 전
Workflow or agent? A practical line I use to decide
(영문 원본) I'm building ByteFlow, a no-code platform for agentic applications. It started as a...
by Nikhil Dharman
dev.to번역 대기2일 전
My prompt-injection fix caught 0 of 20 attacks. The part I almost didn't build caught all of them.
(영문 원본) I built a checker for AI-drafted answers to retirement questions (retirement-answer-check). Before a...
by Vishal Habib
YouTube · AI 채널30편
Machine Learning Street Talk번역 대기2일 전
Reward hacking… or just fixing a bug? #podcast
Machine Learning Street Talk번역 대기2일 전
Can Rewriting an AI Agent Bend the Intelligence Curve? - Zhengyao Jiang
Machine Learning Street Talk번역 대기5일 전
A perfect model can still get causality backwards
Machine Learning Street Talk번역 대기5일 전
The AI That Replaces Hours of Model Tuning - Frank Hutter
Machine Learning Street Talk번역 대기7일 전
A Perfect World Model of Chess Still Won't Beat Magnus Carlsen - Alexander Mattick
Lex Fridman번역 대기12일 전
Psychiatry, Insane Asylums, Mental Illness, ECT, Lobotomies, Freud & Jung | Lex Fridman Podcast #502
Two Minute Papers번역 대기14일 전
Claude Is Now Leaving Invisible Fingerprints In Its Text
Anthropic번역 대기32일 전
We're building a way for AI models to connect to any device and run real experiments.
Lex Fridman번역 대기33일 전
DHH: Future of Programming, AI, Agentic Engineering, Vibe Coding & Linux | Lex Fridman Podcast #501
Siraj Raval번역 대기36일 전
I Replaced My Entire Voice AI Stack With One Model (Live Test)
Lex Fridman번역 대기47일 전
Khabib Nurmagomedov: Dagestan, MMA, UFC, Islam, Conor, Fedor & Football | Lex Fridman Podcast #500
Lex Fridman번역 대기62일 전
Gary Gallagher: American Civil War, Slavery, Lincoln, Grant & Lee | Lex Fridman Podcast #499
Lex Fridman번역 대기90일 전
