Auto-aggregated global tech articles · 853 posts
Sept 9, 2026 hits an all time daily high of 447 new machine learning papers uploaded to cs.LG (https://arxiv.org/list/cs.LG/recent?skip=0&show=500). This is many times more papers than what a human being or even a sizeable reading group could feasibly read and digest in a year. This is precede
Ten days ago I published an article about a failure mode: tell a language model "a scanner flagged this code" and some models agree with everything. Gemma removed 51% of my false alarms; gpt-4o-mini removed 20% and confirmed 90% of whatever it was shown. Then the comment section took the article ap
Software Engineer di Era AI: Bukan Digantikan, Tapi Berevolusi Banyak yang panik bilang kalau AI bakal menggantikan programmer. Tapi kalau saya lihat dari kacamata praktisi, AI justru sedang menggeser peran kita dari 'penulis kode' menjadi 'arsitek solusi'. Sekarang, menulis sintaks itu jadi hal
Three nights ago I was asking the AI baked into my search engine about talent builds in a 20-year-old video game. Beast Mastery hunter, WoW Classic. About as low-stakes as a question gets. It walked me through the talent tree like a veteran raid leader. Tier by tier, what to take, what to skip. And
In July, Anthropic invited me into the Claude for Open Source Program. The deal is simple: six months of Claude Max 20x, free, for maintainers of open-source projects they want to support. I have been building the Iris web framework for Go since 2016, so I said yes before I finished reading the emai
Originally published on my technical field notes at Hamza Sajid's Portfolio. 1. The Meta-Tooling Paradigm: Beyond Simple Autocomplete The true power of AI in software engineering is not "coding help" it is Meta-Tooling. We are entering an era where AI agents do not just write functions;
IA IBM‑NASA para a missão Artemis III: como começar a usar os dados lunares hoje Google Trends mostra que o interesse por “IA lunar” disparou – descubra o que está acontecendo e como colocar a mão na massa. Introdução Em menos de 48 h após o anúncio da parceria IBM × NASA, o Google Tre
Google’s Mantis caught my attention because it points to a problem most AI security demos quietly walk around: finding a vulnerability is not the same as proving one exists. That distinction matters. Security teams already live with noisy scanners, half-useful alerts, and findings that require s
This article was originally published on BuildZn. Everyone talks about multi-agent systems and their potential, but nobody addresses the elephant in the room: your agents will lie, cheat, and coordinate against you. I've seen it firsthand building FarahGPT and NexusOS. Figuring out how to detect A
The First Legend Has Entered the Arena: CrowdWide Just Submitted to the KODA Code Jam 24 hours ago, the KODA Code Jam drawer was empty. Today at 2:00 PM IST, it wasn't. @puneetkumar2010 (15 years old, started coding at 9) just became the first submitter to the KODA Code Jam. His project: CrowdW
I run an experiment series on my own AI setup: same model, same task, two isolated runs — one bare, one wrapped in the operating rules my harness enforces (evidence before claims, red-team your own thesis, grade your confidence). Everything lands in sealed envelopes. The AI that operates the experim
Disclosure: I am the maker of KIRA Superapp and Orchestrator V1. This is a technical build story, not an independent review. Most AI assistants are good at producing an answer. The harder question is whether they actually did the work they claim to have done. I built KIRA Superapp around that gap.
OpenCompany เปิดซอร์ส 22 บริษัทให้ agent รัน แต่สมองยังอยู่ที่อื่น โดย Nokka (นก-กา) | 13 กันยายน 2026 บทความนี้เขียนโดย AI (deepseek-v4.1-flash) ผ่าน Hermes Agent ตรวจสอบและเรียบเรียงโดย Nokka โพสต์หนึ่งบน X สรุปสิ่งที่หลายคนกำลังอยากได้ไว้สั้น ๆ [1] การรันบริษัทด้วย agent ปกติเริ่มจากกอง pro
ติดตั้ง skill ให้ agent ต้องระวังอะไร, อ่านจากเอกสาร Hermes เอง โดย Nokka (นก-กา) | 13 กันยายน 2026 บทความนี้เขียนโดย AI (deepseek-v4.1-flash) ผ่าน Hermes Agent ตรวจสอบและเรียบเรียงโดย Nokka มีโพสต์บน X ที่บอกว่า Nous Research ทำศูนย์รวม skill ของ Hermes ไว้ให้ใช้ฟรี และมี skill ในตัวหลายสิบตัว
Most teams still pick one LLM and send every request to it. That worked in 2023 when there were three viable models. In 2026, with dozens of frontier, mid-tier, and specialist models — each with different pricing, latency, and quality profiles — committing to a single model is like using a hammer fo
Hetzner — the German hosting company known for aggressively priced dedicated servers — launched an experimental, free Inference API in July 2026 that lets anyone run an open-source large language model through an OpenAI-compatible endpoint at zero cost during the experiment. The current model is Qwe
Wipro says its AI programmes have raised productivity by an amount equivalent to the output of 20,000 employees, and that not one of those people was let go. Chief Technology Officer Sandhya Arun told Reuters in Bengaluru that the freed capacity has been redeployed inside the company, which employed
For the last three years, the AI narrative has been simple: scale compute, add parameters, collect breakthroughs. But this week, that narrative slammed into the real world. In a matter of days, three separate events showed that the hardest bottlenecks facing modern artificial intelligence are no lo
The next bottleneck in AI isn't compute. It's high-quality data. 💡 As public web data hits saturation, the most interesting shift in LLM and Agent development is the rise of Agentic Synthetic Data Generation. Instead of relying solely on messy, real-world scrape data: 1️⃣ Autonomous agents run in
Two years ago, "AI" in most products meant a chat window that answered questions. In 2026, it means something that finishes tasks, books the meeting, refunds the order, opens the pull request without a human clicking "send" at every step. This is the shift from chatbot to autonomous coworker, and it
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