Here is my morning trying to convince Gemini that, no, the --discard option in Debian's losetup is pure hallucination.
#ai #ml #hallucination #linux #debian #opensource #google #gemini
Here is my morning trying to convince Gemini that, no, the --discard option in Debian's losetup is pure hallucination.
#ai #ml #hallucination #linux #debian #opensource #google #gemini
🎨 Tôi đã tạo app AI "Lumo" biến ảnh dễ الدماغ thành trang màu cho con Cara & Celine! ⚡️ Technologie: React Native, Firebase, ML. Features: chuyển ảnh > đường vẽ, tùy chỉnh độ chi tiết, xuất chất lượng.رزerved-child-safe, không eût. Mình muốn giáo dục và sức vui của trẻ! 👩💻👧👦 #AIVănBập #TrangMàu #ReactNative #Firebase #ML #BắtĐầuCông #BãoM Auseinanders
(499 ký tự)
#ByteDance is promoting its #AIchatbot app #Cici in the #UK, #Mexico, and #Indonesia through ads and influencer partnerships. https://www.wired.com/story/bytedances-ai-chatbot-is-quietly-gaining-traction-around-the-world/?AIagents.at #AIagent #AI #ML #NLP #LLM #GenAI
[Перевод] Как шаблоны рассуждения учат ИИ думать: новая эпоха Pattern-Aware Learning (PARO)
TL;DR: В работе «Reasoning Pattern Matters: Learning to Reason without Human Rationales» авторы показывают, что для шаблонных задач рассуждения (patterned reasoning) ключ к качеству — не объём и не безупречность «рационалей», а явное усвоение шаблона рассуждения . Они демонстрируют это на двух финансовых задачах (NSM и TPC), вводят метрику/анализ «развилочных токенов» и предлагают PARO — способ автоматически генерировать рационали, следуя заранее заданному шаблону. Итог: SFT+RLVR, обученное на 10× меньшем количестве человеческих рационалей или частично «испорченных» рационалях, почти не теряет в качестве; а рационали, сгенерированные PARO, сопоставимы с крупными человеческими наборами.
Sử thích học tập tương tác thay place cho video! AP Lab Academy là nền tảng học thị myصوص à học nhỏ các khái niệm kỹ thuật qua tay Livre-topic (mật, hiển thị, laboratory adjustable). AI hỗ trợ phát triển công cụ. Có Handbook trên ML, agent, toán ฐ+N Марк. Vui lòng phản hồi if đã thử!
#APLabAcademy #InteractiveLearning #ML #AI #Education #TửViHọcTập #HọcMáyThuyết #ChiêuHọc #TưTrungGiáo
War ja gestern wieder bei "den Kommis" (schon paar mal von geschrieben. Bieten flinta boxen an, essen , mietrechtsberatung, helfen Leuten, sich zu organisieren , sprachencafe, etc)
Und alle hochmotiviert, finden ihre Arbeit toll, die sie teils seit 2 Jahren machen. (Womit sie recht haben, die vordergründige Stadtteilarbeit ist echt toll)
Aber. Ich habe gestern wieder mehrere gefragt, was sie von der Hinterorga wissen, wie ihre Meinung dazu ist. MLer.
Wie oft ich dann verunsicherte antworten bekam. "Nicht mit befasst". " Marx, Lenin....? Ääähh..."
Gestern das erste mal nach nem Jahr rumfragen(!!!!) wen getroffen, die Person wusste Bescheid.
Ich find das einfach krass.
(Gespräch war interesssant, hat viel nachgedacht die Person. Wurde aber immer unterbrochen von dem Ende der Pause 😂) kamen zufällig ins Gespräch und als das Diskussionslevel plötzlich stieg über menschliches Sein dachte ich, ich Frage mal nach machtvorstellungen die "gebraucht" werden der Person nach. Solche Unterhaltungen lieb ich ja, wenn es nicht nur Geschwafel ist.:gribz_3:
Naja ach .einfach Lust zu teilen.
Wer geht mit mir zu denen und klärt mal die ganzen antiautoritären auf, wem sie da zu arbeiten? 😂
✨ Impulsione a Economia com Modelos de Machine Learning!
📝 Descubra como modelos de machine learning estão se tornando essenciais para revitalizar a economia em tempos desafiadores. Neste artigo do INK|DESIGN NEWS, exploramos as inovações em IA que prometem transformar setores inteiros e otimizar processos. Não fique de fora dessa revolução digital! Clique e saiba mais!
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.#AI #ML #Dee...
https://inkdesign.com.br/modelos-de-machine-learning-podem-salvar-a-economia-de-ai/?fsp_sid=220665
NEW BIML Bibliography entry
https://www.nature.com/articles/s41586-025-08661-4
Mert Yuksekgonul et al
New computational paradigm of semantics of language. Auomatic differentiation by analogy. A very naive approach to feedback loops ignoring all kinds of known problems including: looping, non-convergence, and local minima.
NEW BIML Bibliography entry
https://www.sciencedirect.com/science/article/pii/S0167404824002931
Adversarial Machine Learning in Industry: A Systematic Literature Review
Felix Viktor Jedrzejewski et al
Wonder why science journals are useless? This paper from 2024 is already seriously out of date. Results are circa 2020 (a year after BIML was formed). Pre-LLM adversarial examples are the main subject. Building Security In is barely mentioned.
DON'T BOTHER
NEW BIML Bibliography entry
https://arxiv.org/pdf/2501.09798v1
Computing Optimization-Based Prompt Injections Against Closed-Weights Models
By Misusing a Fine-Tuning API
Andrey Labunets, et al
Lack of coordination betweem designers of ML systems leads to attacks like this. Lots of leaky interfaces and poor security design. Malicious input is still a major problem. This one is fun because it uses the fine-tuning interface.
NEW BIML Bibliography entry
https://arxiv.org/pdf/2503.18813
Defeating Prompt Injections by Design
DeepMind (Shumailov, Carlini, Kerns, Tramer)
Authored by some of our favorite people in MLsec, this paper is a beacon of hope for security engineering. Wrapper with proof. Securing natural language interfaces.
TOP PAPER
NEW BIML Bibliography entry
AI as Normal Technology
Knight (Narayanan and Kapoor)
Technically weak on security and naive about AI/ML. Nevertheless there is some good advice here. Reactive frameworks and anti-regulation without a transparency view.
NEW BIML Bibliography entry
https://ml-site.cdn-apple.com/papers/the-illusion-of-thinking.pdf
The Illusion of Thinking:
Understanding the Strengths and Limitations of Reasoning Models
via the Lens of Problem Complexity
Apple (Shojaee et a)
A simple, powerful result showing that anthropomorphic discussion RE moral behavior has moved well past wishful thinking into religious faith.
TOP PAPER