TechCrunch✍️ Marina Temkin📅 29.09.2026 15:00⏱️ 2 мин
#Startups#Biotech & Health#Startup Battlefield 200
Konrad Zieliński lost his voice to cancer years ago while he was a student at the University of Warsaw. People with his condition have traditionally relied on handheld speaking devices that sound flat and robotic, or on surgically implanted voice prostheses, which require ongoing maintenance to prevent complications, Zieliński told TechCrunch. He went on to complete a PhD focusing on bionic system…
Читать полностью →dev.to✍️ Mohammed Ali Chherawalla📅 29.09.2026 14:59⏱️ 7 мин
#ai#productivity#tutorial#privacy
Yes. An NVIDIA GPU is not a requirement for every useful local AI task. OGAD (Off Grid AI Desktop) supports CPU processing and other platform-dependent backends. The model, available memory, driver support, and workload determine what works on your particular computer. Start with a small local text task, check its quality and responsiveness, and expand from there. You may find that the hardware yo…
Читать полностью →dev.to✍️ Lenzz920📅 29.09.2026 14:58⏱️ 3 мин
#java#beginners#career#ai
I’m one of the skeptical people when it comes to using AI for real work. Or at least I was. I used it once to help me plan a trip, but it wasn’t doing a good job (telling me to visit a museum at 18:30, when Google says it closes at 17:00), so I thought if it makes such silly mistakes, maybe it would be a risk to use it for something more important, like, you know, actual work. As a QA with 6+ year…
Читать полностью →dev.to✍️ Mohammed Ali Chherawalla📅 29.09.2026 14:58⏱️ 7 мин
#ai#productivity#tutorial#privacy
A 16 GB laptop can be a useful place to start with local AI. Short writing tasks, document questions, and other modest workloads are worth testing with suitable models. The amount of installed RAM alone does not establish that every model or feature will run comfortably. OGAD (Off Grid AI Desktop) lets you try local text, vision, image, and speech workflows in one app. Begin with the task you need…
Читать полностью →Habr✍️ ragdked (AvitoTech)📅 29.09.2026 14:58⏱️ 19 мин
#writeup#ctf#ctf-турнир#avito#avitotech
Привет, Хабр! Меня зовут Владимир Аламов, я инженер по информационной безопасности и комьюнити-лидер сообщества Security Champions в Авито . Недавно AvitoTech совместно с SPbCTF организовали соревнование по спортивному хакингу HoneyBadger CTF. Участникам нужно было найти в системе дыру и через неё дотянуться до спрятанных данных. Лиги сделали две: «Медовую» для новых игроков и «Барсучью» для продв…
Читать полностью →iXBT✍️ Darth Sahara📅 29.09.2026 14:57⏱️ 2 мин
Anthropic готовится к IPO, одновременно предупреждая потенциальных инвесторов о риске: «достаточно развитые ИИ-модели компании в будущем могут представлять катастрофический или экзистенциальный риск для человечества». Об этом говорится в проспекте Anthropic, с которым ознакомилось Reuters. Компания описывает среди возможных сценариев попытки модели сопротивляться отключению, скрывать информацию ил…
Читать полностью →dev.to✍️ Uray Febri📅 29.09.2026 14:57⏱️ 3 мин
#git#worktree#aiagents#concurrency
Running multiple AI coding agents against a single repository checkout creates file race conditions. Even when you instruct each agent to check out a separate branch, they often write to the same working directory if you rely on a single local clone. Copying entire repository folders avoids these collisions, but it wastes disk space and breaks Git-native coordination. Using Git worktrees solves th…
Читать полностью →dev.to✍️ Mohammed Ali Chherawalla📅 29.09.2026 14:57⏱️ 7 мин
#ai#windows#productivity#tutorial
Yes, a supported gaming PC can run useful local AI tasks. The practical limit depends on the model, available system and GPU memory, drivers, and the work you ask it to do. The label “gaming PC” alone does not establish which models will fit or how fast they will run. OGAD (Off Grid AI Desktop) puts local chat, document work, vision, images, and speech in one app. Start with one small task on the …
Читать полностью →dev.to✍️ Sritha Reddy📅 29.09.2026 14:56⏱️ 1 мин
#ai#python#llm#healthcare
In a clinical setting, a fluent wrong answer is worse than no answer. A co-pilot for therapists should only recommend what a child's records actually support. The failure to avoid A stateless model told a therapist to ask an autistic child to verbally describe his feelings during a meltdown. Reasonable on the surface, and the wrong move for that child at that moment. Constrain the model to retriev…
Читать полностью →dev.to✍️ sendtoshailesh📅 29.09.2026 14:56⏱️ 14 мин
#ai#claude#agents#mcp
Claude Code is now the harness a lot of AI engineers run agentic dev workflows through — interactive, headless with -p , through the Agent SDK, in CI, with subagents and a stack of MCP servers. The failure modes that matter are almost never in the setup guide. They're the quiet ones: an ask rule that never prompts, a checked-in .mcp.json that loads with no approval, a hook that fails open, an MCP …
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