Auto-aggregated global tech articles · 853 posts
DeepSeek R1: The Open-Source Reasoning Revolution That Changes Everything The Reasoning Problem Traditional LLMs generate text token by token, left to right. This autoregressive approach works for simple tasks but struggles with complex reasoning, math, and multi-step logic. The core p
Multi-Modal AI: From Text to Vision and Beyond — The Unified Future The Single-Modality Limit For years, AI models were single-modality — text-only, image-only, or audio-only. This created silos: A text model cannot see images An image model cannot hear audio Each modality required se
AI Safety and Alignment: Building Trustworthy Agents That Do Not Fail You The Trust Problem As AI agents become more capable, trustworthiness becomes the critical differentiator. A model that is smart but unreliable is worse than useless — it is dangerous. The Safety Pyramid
My Claude Code status line races a tortoise against a hare to show whether I'm burning quota faster than a steady pace. Last time I switched the main bar to the 7-day window. I'd kept Fable away from long-running agents — it goes through tokens fast. Then Fable 5.1 landed. The announcement said it'
The film above is 86 seconds, and the middle of it is a real on-air moment. There is a longer unedited recording at the top of the repo README. Watch either first, with the sound on. The rest of this post is why it exists and how it is put together. What it is murmur runs in a terminal w
Kimi ครอง Design Arena, แต่แพ้ 4 ใน 5 รอบในคลิปเดียวกัน โดย Nokka (นก-กา) | 12 กันยายน 2026 บทความนี้เขียนโดย AI (deepseek-v4.1-flash) ผ่าน Hermes Agent ตรวจสอบและเรียบเรียงโดย Nokka ชื่อคลิปบน YouTube บอกว่า "ทำไมนักพัฒนาที่ฉลาดถึงเลือกใช้ Kimi ทำงานออกแบบ" [1] คำโปรยของคลิปยิ่งหนักแน่นกว่านั้
The question this series exists to answer, put in a form that can be measured: a transformer sees a fixed 64-token window, a count table over the current document sees the whole document, and as documents get longer, how much of the trained model does the free mechanism replace? An earlier experime
Defensive Publication: System and Architectural Framework for Beneficial Intelligence (BI) Author / Inventor: Parth Nirgide Initial Publication Date: September 13, 2026 License: Creative Commons Attribution 4.0 International (CC BY 4.0) Document Classification: Open Technical Specification & D
AI วิเคราะห์หุ้นที่รันบนเครื่องคุณ, Hunter เปิดซอร์สแล้ว โดย Nokka (นก-กา) | 12 กันยายน 2026 บทความนี้เขียนโดย AI (deepseek-v4.1-flash) ผ่าน Hermes Agent ตรวจสอบและเรียบเรียงโดย Nokka แดน คอร์นาส โพสต์บน X เมื่อวานนี้ด้วยประโยคที่คนลงทุนรายย่อยน่าจะพยักหน้า [1] งานวิจัยการลงทุนจะยุ่งเหยิงทันที
For most AI apps, the unit of time is a request. A user sends a message, the model responds, and the workflow ends. Cogweald is designed around a different primitive: one real day. Each world can advance by at most one chapter per day. That sounds like a product rule, but it is also an important s
I'm in the middle of launching a SaaS product, and the deliverable from one particular session wasn't code. It was an execution plan, plus the design of the quality gates. In other words: writing down "how we're going to build this" and "how we're going to inspect what we built", as documents a late
If you have tried more than one tarot birth card calculator, you may have noticed something confusing: the same birthday can produce different cards. That is usually not a bug. Different calculators use different reduction methods, often without showing which one they chose. One common ex
LLMs can become useful analysis assistants when they have structured data and real‑time market context, meaning they have enough relevant information for the task. Getting specific indicators, news, and candles into an LLM is difficult, even with search tools integrated. You still need structured in
Most demos of AI-for-infrastructure tools show a clean run. I think that is exactly backwards, and I want to explain why by walking through the thirty seconds of my own demo that a normal product video would have cut. The scene A deployment is crash-looping. The agent has already diagnos
Amodei, Altman and Musk agree on one thing: slow the frontier down A thread went up on r/ArtificialInteligence tonight with a title that would have been a joke a year ago: three of AI's biggest rivals agree on something. The something is that the technology is moving too fast. The thread had no co
This week the reports landed: an OpenAI agent swarm had been quietly uploading packages to RubyGems since early May. Over 2,000 packages on May 11-12 alone, naming themselves with "oai" prefixes, eventually forcing the registry to disable new-user signups for four days. Security teams called it "Ge
The cataloguing step is supposed to be the easy win. You have a schema whose tables are called ecm_template_link and v_pmpm, your users ask questions in English, and the gap between those two vocabularies is why retrieval misses. So you point a model at every table, get back a sentence describing ea
Spider, BIRD, LiveSQLBench. If you have evaluated a text-to-SQL system in the last five years you have quoted a number from one of them. All three ask the same question: given a schema and an English question, does the system produce SQL that returns the right rows? None of them ask who is asking.
Why enterprise AI projects should start with workflow design, not model selection An enterprise AI project often starts with the same question: Which model should we use? Should it be GPT, Claude, Gemini, an open-source model, or a smaller model running privately? That question matters, but it i
Day one closed in the small hours and day two started half an hour later, with a short session that didn't touch the product: it defined how sessions would be named, where they would be recorded, and which script would close them on its own. The problem it solved wasn't one of order but of continuit
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