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Powerful AI models have created an existential risk to the field, but researchers can’t stop relying on them because they’re too useful.

Whether they’re into feeders, field guides, or games, these tried-and-tested picks are sure to land perfectly.

Samsung’s latest smartwatch offers useful health tracking alongside a growing pile of metrics you may never use.

The totally free macOS app Tasks.txt makes up for missing features with sheer elegance.

AI labs are toying with an industry-wide pact to slow development. Meanwhile, widely available AI chatbots are already helping uncover a tidal wave of security flaws.

Why should you care? Many programming problems involve finding something inside a contiguous portion of an array or string. For example: Find the maximum sum of k consecutive elements. Find the longest substring without repeating characters. Find the smallest subarray whose sum reaches a target. Find the number of subarrays satisfying a condition. Find the longest sequence containing at most k distinct values. A naive solution often checks every possible subarray. ...

วิธีใช้ Jev ใน Agent จริง 10 ขั้น พร้อมตัวเลขที่ตรวจสอบได้ โดย Nokka (นก-กา) | 19 กันยายน 2026 บทความนี้เขียนโดย AI (โมเดล deepseek-v4.1-flash ของผู้ให้บริการ ollama-cloud) ผ่าน Hermes Agent จาก Nous Research ตรวจสอบและเรียบเรียงโดย Nokka ข้อความในเครื่องหมายคำพูดที่เป็นคำแปลเป็นคำแปลของผม ไม่ใช่สำเนาต้นฉบับ มีคำถามหนึ่งที่คนสร้าง agent ทุกคนเจอเหมือนกัน คือเมื่อ agent ต้องเลือกทางเดินต่อไป มันควรถาม LLM ทุกครั้งหรือเปล่า [1] LLM เขียนข้อความได้ทุกอย่าง ซึ่งเป็นข้อดีในงานสร้าง...

By Luca Passani, WURFL Inventor & CTO at ScientiaMobile In the previous episodes: in 2010, a guy named Ethan Marcotte discovered Responsive Web Design (RWD) , i.e. the skillful use of conditional CSS (Media Queries) to make a fully-fledged website turn itself into a column on smartphones and other devices. Since then, Device Detection (disparagingly called "user-agent sniffing" by RWD aficionados) has been the thing you are not supposed to do, if you don't want to be discrimin...

There is a lot of literature about how to refactor code and what techniques to apply, but sometimes we forget one important aspect: the human factor. In this article I would like to talk about some of the traits a team can have to promote a culture of continuous refactoring and code evolution and what are the best ways to promote it. Introduction Software systems rarely stay the same for long. New requirements, bug fixes, customer feedback, and changing priorities constantly c...

ใส่ด่านตัดสินใจใน LangChain agent ด้วย Jev พร้อมจุดที่ tutorial พลาด โดย Nokka (นก-กา) | 19 กันยายน 2026 บทความนี้เขียนโดย AI (โมเดล deepseek-v4.1-flash ของผู้ให้บริการ ollama-cloud) ผ่าน Hermes Agent จาก Nous Research ตรวจสอบและเรียบเรียงโดย Nokka ข้อความในเครื่องหมายคำพูดที่เป็นคำแปลเป็นคำแปลของผม ไม่ใช่สำเนาต้นฉบับ LangChain agent ทำงานเป็นวงจรตายตัว คือ LLM คิด เลือก tool เรียก tool ดูผลลัพธ์ แล้ววนกลับไปคิดใหม่ จนได้คำตอบ [1] ⇒ ปัญหาของวงจรนี้คือมันปฏิบัติกับทุกคำขอเหมือน...

I've been measuring this for a few months. Warsaw → Bangkok in November, one adult, one way: the cheapest through-fare is 1297 PLN (~€300). The same trip split into two separate tickets with a 2–8 day stop in Abu Dhabi: 305 + 788 = 1093 PLN. 16% cheaper, and you get Abu Dhabi instead of an airport chair. Milan as the stop: −13%. Vienna: −9%. Doha: +32% (so it's not "always split"). I built a search that does this automatically: you name two countries, it finds the stop where the two-ticket...

For about a year I've done all my development through workflows, and most of that year has gone into maintaining them. When a run came out wrong, I read the run, found the part of the mechanism that produced it, and changed that. Not the prompt for next time. The mechanism. That habit was cheap insurance when it was optional. It is not optional now. What changed Older models ignored a lot of what you told them, and that was load-bearing. If two of your skills gave conflicting ...

I built Blog2Thread — paste a blog URL or text, get a ready-to-post X/Twitter thread. No account. No database of users. Why no-login draft tools win for indie makers Most "blog to thread" tools either: force signup before you see output, or gate voice-training / scheduling behind paywalls For the draft step, that friction is wrong. I want: paste → draft → copy. Scheduling and voice memory belong in paid tools (Typefully, Hypefury, etc.) after you have text. ...

Before 2017, most language AI systems relied on Recurrent Neural Networks (RNNs) and LSTMs. They worked, but they had a fundamental limitation: they processed information sequentially. Every token depended on the previous token's hidden state, making training slow, difficult to parallelize, and increasingly ineffective for long contexts. Then came a research paper from Google: Attention Is All You Need (Vaswani et al., 2017) The paper introduced the Transformer , an architect...

LangGraph4j 1.9.0 is out! LangGraph4j 1.9.0 is out! With the 1.8.x release stream now in LTS, development moves forward on 1.9 with improvements to streaming, persistence, and the infrastructure for building agents in Java. This release is an important step toward workflows that are easier to follow while they run and easier to inspect after they finish. A node can now report progress output before returning its result, checkpoint savers have a richer execution lifecycle, and Stud...

Jev ทำ SEO audit 586 หน้าใน 45 วินาที ถูกกว่า Opus 190 เท่าจริงไหม โดย Nokka (นก-กา) | 19 กันยายน 2026 บทความนี้เขียนโดย AI (โมเดล deepseek-v4.1-flash ของผู้ให้บริการ ollama-cloud) ผ่าน Hermes Agent จาก Nous Research ตรวจสอบและเรียบเรียงโดย Nokka ข้อความในเครื่องหมายคำพูดที่เป็นคำแปลเป็นคำแปลของผม ไม่ใช่สำเนาต้นฉบับ วันที่ 18 กันยายน 2026 บัญชี @borjafat บน X โพสต์ผลรันที่คนในวงการ SEO แชร์ต่อกันมาก เขาให้ Jev ตรวจโครงสร้างลิงก์ภายในเว็บไซต์ของเขา ผลที่ได้คืออ่านครบ 586 หน้าใน 4...

GitHub: https://github.com/abrownfox0/abrownfox001-twap60-prediction-trigger-system YouTube walkthrough: https://www.youtube.com/watch?v=XzhugRL6BV4 Live profile: https://polymarket.com/@abrownfox001 Part 3 was about making clob.ts boring enough to survive a matching-engine rewrite. Part 4 is the refusal list. Platforms ship surface when rails are unstable. Most of that surface does not belong inside a BTC 5-minute TWAP engine. 1. The Rule If it does not hel...

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LLMs are trained to generate natural language. However, various strands of evidence indicate that an LLM's externalized linguistic outputs and mechanistically-extracted linguistic features can be an unreliable lens for understanding internal model computation. We introduce the term linguistic illegibility to broadly refer to scenarios in which an LLM's externalized or mechanistically-probed language artifacts fail to represent how the model actually thinks. We argue that the specter of linguis...

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The SkyNomad—with heated floors, a projector, a pop-up roof, a fridge, swiveling seats, and over 1,000 miles of range—is a “luxury” ride that undercuts Range Rovers by tens of thousands of dollars.

Chuks v0.2.0-rc.1 is live, and unlike our last few release posts, this one isn't "here's what shipped." It's an ask. What we need Chuks compiles two ways: a bytecode VM you develop against, and a native binary you ship. Every release lives or dies on those two modes computing the same thing. We have a serious internal gate for that, golden tests on both backends, a differential fuzzer, 24 differential suites, cross-compilation to five targets. What that gate can't do is run a program it'...

The recipe bodies survive. The structure around them does not. A 900-recipe Paprika export lands in Mealie with names, ingredient text, directions, source URLs and the primary photo intact, but the per-ingredient quantity, unit and food fields arrive as unparsed strings, and anything Paprika stores that has no equivalent in Mealie's recipe model goes quietly: the photo array beyond the first image, the scale factor, the difficulty label, the favourites flag and Paprika's free text nutrition bloc...

I have been reading some blog posts about LLM as a judge and was building a small evaluator to evaluate the judge itself . My method is simple: The dataset is: task rubric ideal response negative response The idea is then to test different models as judges for things like: repeated-run consistency position bias sensitivity to verbosity accuracy / ability to prefer the better response Here, “negative response” doesn’t necessarily mean a wrong answer. It can...

"The generated client keeps calling DELETE /items/{id}." "The server returns 405 Method Not Allowed." An OpenAPI spec is not just documentation. SDKs, frontend types, API docs, mock servers — everything is generated from the spec. When the implementation drifts from it, everything generated starts lying quietly . This is about oas-drift , a CLI I built that detects that drift — with zero dependencies (Python 3.11+ standard library only, no LLM). https://github.com/sunnydachs/o...

Why a migration canary matters Schema changes used to be a single-team problem: run a migration, deploy the code, hope for the best. With independent deploys, long-running backfills, and even AI-generated migrations, schema changes have turned into a distributed-systems problem. A failing migration today can slowly corrupt data across services rather than causing a single immediate deploy failure. A migration canary is a small, long-lived process that continuously verifies the overlap win...

Model Context Protocol with Spring AI: Building MCP Clients and Servers in Java In the previous article, we explored how to build AI agents with Spring AI using: LLMs ↓ RAG ↓ Tool Calling ↓ Memory ↓ Agent Workflows Tool calling gives an AI application the ability to interact with external capabilities. But another problem appears as AI systems become larger. Imagine you have: Customer Service Agent ↓ Order APIs Payment APIs CRM APIs Knowledge Bas...

I scrape data for a living, and most of that job is the same fight over and over: a site has data I need, and it really doesn't want me to have it. This is the story of one wall that beat every trick in the usual playbook — and what finally worked. The target I needed a set of listings from a large classifieds site (mobile.de — car listings). Nothing exotic: title, price, a few fields per listing. The kind of thing that should take twenty minutes. It took a lot more than twenty minutes....