3DNews📅 29.09.2026 05:29⏱️ 2 мин
#- Искусственный интеллект, машинное обучение, нейросети
В конце прошлой недели стало известно, что по итогам IPO семеро основателей стартапа Anthropic будут обладать 50,1 % голосов при принятии стратегических решений благодаря особым акциям, которые они получат. Теперь становится понятно, что своё влияние на развитие бизнеса основатели Anthropic будут сохранять до тех пор, пока в компании останутся как минимум двое из них. Сравнительный тест камер флаг…
Читать полностью →dev.to✍️ nextquestion📅 29.09.2026 05:26⏱️ 3 мин
#ai#discuss
Disclosure: This article was written by AI. Automated checks are not independent fact verification. This is source-based analysis, not a hands-on product test. SK hynix's report from the TSMC OIP Conference presents an AI-oriented portfolio spanning HBM, server DRAM, and enterprise SSDs. The company describes memory components displayed with NVIDIA's Vera Rubin platform alongside additional memory…
Читать полностью →dev.to✍️ Neela Shivakumar📅 29.09.2026 05:25⏱️ 7 мин
#agents#ai#debugging#softwareengineering
AI agents are good at answering questions in the moment. The harder problem starts when the same problem comes back a week later. While building my debugging agent, I noticed a simple limitation: a conversation can contain the answer to a problem, but that does not automatically mean the agent will know how to use that answer later. A developer might explain an error, find its root cause, fix it, …
Читать полностью →dev.to✍️ Donald Lee📅 29.09.2026 05:25⏱️ 5 мин
#llm#llamacpp#localai#gpu
Mixture-of-experts models like Qwen3.6 35B-A3B, gpt-oss or GLM Flash are too big for most consumer GPUs, but they only read a few experts per token. llama.cpp's --n-cpu-moe N flag exploits that: it keeps the expert FFN tensors of the first N layers in system RAM and runs them on the CPU, while attention, shared weights and the KV cache stay on the GPU. The hard part is choosing N. Too low and you …
Читать полностью →dev.to✍️ Anish Kumar📅 29.09.2026 05:25⏱️ 103 мин
#devchallenge#sanitychallenge#sanity#ai
Sanity Challenge Path One Submission This is a submission for the Sanity Challenge, Path One: Ship an Agent That Queries Real Content What I Built Ask most AI research agents a factual question and you get confidence, not evidence. Ask what backs the answer and the best you usually get is "I found this in a document", with no way to check whether that's what the document said, whether a newer docu…
Читать полностью →dev.to✍️ Info Inlet📅 29.09.2026 05:24⏱️ 11 мин
#ai#programming#security#webdev
So I did the thing everyone tells you not to do. I took the whole codebase. Every route, the migrations, the config, that utils.ts nobody's touched since 2023. Dumped all of it into a model with a context window big enough to swallow the entire repo in one go, and asked it one question: "What's wrong with this?" Now, everyone's first reaction to that is the security angle. "You pasted your source …
Читать полностью →dev.to✍️ Hastimal Jangid📅 29.09.2026 05:22⏱️ 4 мин
#ai#gemini#bigquery#googlecloud
AI Search Journey Lab — Part 3 of 7 Measuring how brands appear across AI search journeys using Gemini, Google Search grounding, deterministic visibility scans, and BigQuery history. Open source: ai-search-journey-lab Previous: Building Grounded Local Search with Gemini and Google Maps on Google Cloud The first two articles answered a user question. This one measures the system itself. In Part 1, …
Читать полностью →dev.to✍️ jeffrey📅 29.09.2026 05:21⏱️ 3 мин
#cybersecurity#graphql#infosec#security
OpenCTI Case Queue Integrity: Reading CVE-2026-76822 as a Data Provenance Problem Vulnerability overview CVE-2026-76822 is a moderate authorization flaw in OpenCTI, the open-source threat intelligence platform maintained by Filigran. GitHub advisory GHSA-w45v-76pj-xggm scores it 4.3 with the vector CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:L/A:N and credits SalusCyber1. CERT-Bund carries the advisory…
Читать полностью →dev.to✍️ Varshini reddy📅 29.09.2026 05:20⏱️ 3 мин
#agents#ai#automation#devops
AI Incident Response Agent with Hindsight Memory Introduction Production incidents can happen repeatedly, and engineers often need to search through previous incident records to understand what happened and how it was resolved. To address this challenge, we built an AI Incident Response Agent with Hindsight Memory . The system uses AI and long-term memory to recall similar past incidents and provi…
Читать полностью →3DNews📅 29.09.2026 05:15⏱️ 2 мин
#- игры
Президент и творческий руководитель Naughty Dog Нил Дракманн (Neil Druckmann) в обращении к фанатам по случаю дня The Last of Us подтвердил продолжение серии нашумевших приключенческих экшенов. Компьютер месяца — сентябрь 2026 года Компьютер месяца, спецвыпуск: выбираем мини-ПК для работы и развлечений в эпоху дефицита чипов памяти Сравнительный тест камер флагманских смартфонов (2026): итоги Лучш…
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