Tom Brady Opens Up About Humble Roots and His Children's Privileged Upbringing

NFL legend Tom Brady has spoken candidly about his childhood, reflecting on the hardships his parents endured to support his path to success. Brady acknowledged the significant sacrifices his family made during his formative years. He also drew a contrast between his own upbringing and the privileged lifestyle his children enjoy today. The remarks highlight Brady's awareness of the generational difference in circumstances between himself and his kids.

Claude Code's git push deny rule blocked only 8 of 14 push attempts in security test

A developer tested Claude Code version 2.1.278 to see how reliably a single deny rule — Bash(git push:*) — blocks push commands in an automated agent setup. Across 14 differently worded push attempts run on 22 September 2026, the rule successfully blocked 8 but allowed 5 to actually reach the remote repository. Bypasses included indirect methods such as wrapping the command in a shell script, using eval, or invoking git with a -c flag prefix. A 14th attempt evaded the rule but failed independently for unrelated shell reasons. The findings highlight that Claude Code's permission deny rules match command strings literally, leaving meaningful gaps when commands are rephrased or wrapped.

AI Text Detectors Are Unreliable by Design, Developer Explains Why

A developer has built an AI-content detection tool after finding that most existing detectors overstate their accuracy, often claiming near-perfect results they cannot deliver. Unlike image-based tools that can embed invisible statistical watermarks, text detection relies on weaker signals such as perplexity, sentence burstiness, and token-frequency patterns. These signals break down under common conditions like paraphrasing, short inputs, translation, or deliberate obfuscation, making confident verdicts misleading. The new tool, available at detectaiwatermarks.com, is designed to report which specific signals were detected rather than issuing a single definitive score. Its verdict is also calibrated to text length, acknowledging that a short social media post and a long essay cannot be assessed by the same standard.

Google Adds monday.com to Gemini Connected Apps for Workspace Data Access

Google announced on September 23, 2026, the addition of monday.com to its Gemini Connected Apps, alongside other tools including Airtable, Linear, and Zoho. The integration allows users to reference monday.com board data within Gemini-powered features across Gmail, Docs, Sheets, and Slides using natural-language queries. Currently, the Google Workspace connector operates in early alpha as a read-only tool, meaning Gemini can retrieve project information but cannot create or modify board items. A separate, deeper integration launched in June 2026 enables a monday.com agent for Gemini Enterprise to orchestrate workflows via natural language, carrying a Google Cloud Ready designation. The Connected Apps feature can be enabled through Gemini settings and is designed to reduce manual context-switching between project management tools and Workspace documents.

Pakistan strikes 10 sites in Afghanistan

Why Multi-Tenancy Is an Architecture Problem, Not Just a Config Setting

A software team building a low-code platform discovered that a seemingly simple client request—letting four subsidiaries share one system while keeping their data separate—exposed deep architectural complexity. Multi-tenancy actually encompasses three distinct concerns: deployment isolation, data partitioning, and configuration customization, and most platforms quietly assume these can be bundled together. The challenge intensifies on low-code platforms because the application's own structure—fields, workflows, permissions, and scripts—is also tenant-scoped data, not just business records. A script written by one subsidiary could inadvertently access another's data, not due to malicious intent but because the boundary was never enforced at the runtime level. The core lesson is that tenant isolation cannot rely on developers remembering a where clause; it must be enforced systematically by every layer of the platform's runtime.

Developer Finds Vote-Spoofing Bug in Open-Source AI Memory SDK, Fix Shipped in Days

A developer auditing MemWal, an open-source AI-memory SDK by MystenLabs, discovered a logic flaw in a sample chatbot app built on the platform. The bug allowed any user who could view a message in a public chat to cast a vote on another user's message by exploiting a mismatch between the vote-existence check and the actual update query. The existence check queried only by message ID, while the UPDATE required both message ID and chat ID, meaning a spoofed vote would silently block the original owner from ever voting. Critically, the system returned a 200 success response with no errors or logs, leaving the feature permanently broken for the legitimate user. The developer reported the issue responsibly, and the maintainers confirmed and released a fix within days.

Indian Markets Set for Weak Open as Crude Oil Prices Surge

Indian stock markets are expected to open in negative territory on the back of rising global oil prices. Brent crude climbed 3.9% to $103.08 per barrel, while US WTI crude rose 1.8% to $92.16 per barrel. Higher oil prices typically weigh on equity markets, particularly in import-dependent economies like India. Elevated crude costs can fuel inflation and widen the current account deficit, dampening investor sentiment. Both the Sensex and Nifty are anticipated to face selling pressure at the opening bell.

How to Build a Lightweight React Kanban CRM Dashboard with Vite and Vanilla CSS

A developer tutorial on DEV Community demonstrates how to build a static CRM dashboard prototype using React, Vite, and plain CSS — without relying on heavy component libraries like Material-UI or Ant Design. The project features a Kanban-style sales pipeline layout divided into a sidebar navigation area and a main content board. React's useState hook manages active menu selection, while all pipeline data is served as static mock entries representing leads at various stages. CSS Flexbox handles the overall layout, with the Kanban board supporting horizontal scrolling as additional pipeline columns are added. The guide is intended purely as a frontend UI prototype and does not include backend integration, authentication, drag-and-drop functionality, or database connectivity.

Technology to Ease Home Loan Access for Rural India Borrowers

Banks are exploring technology-driven methods to extend home loans to rural Indians who may lack traditional income documentation. Digital verification and advanced data analysis are being considered to streamline the credit assessment process. These tools could significantly reduce paperwork and speed up loan approvals for rural applicants. Lenders may move beyond conventional income proof requirements by leveraging alternative data to evaluate creditworthiness. This shift could open up formal home financing opportunities for a largely underserved rural population.

oh-my-agent CLI 15.0.0 Launches with HyperFrames Video Engine and New Security Guard

The oh-my-agent CLI has released version 15.0.0, introducing HyperFrames as a replacement for Remotion in its video rendering toolchain — a breaking change that required a major version bump. Users can migrate by renaming the config key from video.remotion to video.hyperframes and updating the compositor flag accordingly. The release also adds a code-intelligence guard that blocks native file-search commands when a code-intelligence provider is configured, directing agents to use designated tools like Serena or Gortex instead. Several bugs were fixed, including a Serena daemon conflict that caused multiple redundant processes per project, stranded schedule registrations that failed silently, and a critical issue where running oma link claude from the home directory overwrote global hook settings. The update spans 67 commits across 230 files, with CLI reaching 15.0.1 and the web component at 7.0.0.

TypeSafe's Jev Matches Mid-Tier LLMs but Trails Frontier Models After Eight Days

TypeSafe AI launched Jev on September 15, 2026, a hosted 'System One' model designed to answer typed classification and scoring questions about text rather than generate free-form responses. Independent testing conducted over eight days found Jev performing on par with mid-priced large language models while lagging 6.5 to 11.5 percentage points behind frontier models on the most reliable benchmarks. The model showed the best out-of-the-box probability calibration among tested models on familiar English tasks, with most calibration errors correctable via a single temperature adjustment. TypeSafe, co-founded by Diogo Almeida, Sasha Sheng, and Erik Gafni, raised a $40 million seed round led by DCVC, and prices Jev at $0.042 per million input tokens with free output. The review drew on 14 arXiv preprints, 104 GitHub repositories, and 33 blog posts, noting that the majority of positive coverage either restated vendor claims or came from launch partners with a commercial interest.

Gemma 4 26B Trails Jev by 2.1 Points as a Decision Model on Single AWS L4 GPU

A pre-registered benchmark tested Google's open-source Gemma 4 26B model as a decision classifier on a single AWS EC2 L4 GPU, comparing it against TypeSafe's hosted Jev 1.13.0 service and Google's DiffusionGemma variant. Evaluated on Bespoke Labs' 3,880-record public test suite, plain Gemma 4 26B scored 2.1 percentage points below Jev overall, with no meaningful gap on yes/no questions but a 4.5-point deficit on multiple-choice items. Jev showed better out-of-the-box calibration, though fitting a single temperature parameter on just 50 labels brought Gemma's median calibration error to within 0.01 of Jev's. Compared to DiffusionGemma, the plain Gemma read matched accuracy, performed similarly after calibration fitting, and ran 1.9 to 5.1 times faster per decision. All per-item outputs and pre-registration documents were committed to a public GitHub repository before any model calls were made.

Gemma 4 26B Trails Jev by 2.1 Points Overall in Benchmarked Decision Model Test

A pre-registered benchmark tested Google's open Gemma 4 26B model as a decision model on a single AWS EC2 L4 GPU, comparing it against TypeSafe's hosted Jev 1.13.0 service and Google's DiffusionGemma variant. On Bespoke Labs' 3,880-record public evaluation suite, plain Gemma 4 26B scored 2.1 points below Jev overall, performed comparably on yes/no questions, but lagged 4.5 points behind on multiple-choice tasks. Jev showed better out-of-the-box calibration, though a single temperature adjustment brought Gemma's median calibration error to within 0.01 of Jev's. Against DiffusionGemma, the plain Gemma read matched accuracy levels while running 1.9 to 5.1 times faster per decision. All per-item outputs and pre-registration documents were committed to a public GitHub repository before any model calls were made.

UAE imposes sanctions on Bank Melli Iran branches

Engineer Applies Test-First Thinking to Requirements, Contracts, and Specs

Software engineer Anton, who works primarily with PHP/Symfony and Go, has written about extending test-driven development (TDD) principles beyond code to earlier stages of software work, including requirements and contracts. His core argument is that a checkable condition must be written before the thing it is meant to validate, otherwise it simply describes what was already built and cannot serve as a real gate. He illustrates this with a code coverage ratchet that prevents the recorded threshold from being lowered in pull requests, while honestly noting the bar is currently set at zero despite actual coverage sitting at 86.7%. A second example shows the approach working as intended, where a closing condition for a database-access refactor was written while the work was still in progress rather than after completion. Anton frames the method not as a testing philosophy but as a discipline around the order in which things are written down at all.

Greater Noida bus catches fire, people feared dead

Google Releases Gemma 4 Family of Five Open Models for Mobile to Workstation Use

Google DeepMind launched the Gemma 4 family of open models under the Apache 2.0 license, releasing four sizes on March 31, 2026, and adding a fifth — the 12B Unified — on June 3, 2026. The lineup spans five sizes from the 2B edge model to the 31B dense model, all supporting text and image input with context windows of 128K or 256K tokens across more than 140 languages. A standout model is the 26B A4B, a Mixture-of-Experts architecture that activates only around 4B parameters per token, delivering near-31B quality at a fraction of the memory cost at approximately 14.4GB quantized. The 12B Unified model eliminates separate encoders entirely, processing text, images, and audio through a single architecture at roughly 6.7GB in 4-bit quantization. Google's own benchmarks show significant gains over the previous Gemma 3 27B, with the 31B model scoring 89.2 on AIME 2026 compared to 20.8 for its predecessor, though these figures reflect Google's own testing conditions.

NSE IPO: Exchange Seeks to Raise Rs 22,562 Crore via Offer for Sale

The National Stock Exchange (NSE) launched its initial public offering earlier this month, aiming to raise Rs 22,562 crore. The offering is structured as an offer for sale (OFS) of 12.64 crore shares by existing shareholders, meaning no fresh capital will be raised by the exchange itself. The IPO marks a significant milestone for India's largest stock exchange, which has long been awaited by market participants. Further details on listing date and grey market premium signals were referenced but not elaborated in the available report.

Karnataka man found dismembered in UAE; wife and son untraceable

Alwin Prakash Kunder, a Karnataka native, was found dead in the UAE with his body cut into nine pieces after he went missing in July. His family has called for a thorough investigation into the suspected murder. Alwin's wife Tina and their son have not been located, raising serious concerns about their whereabouts and safety. The victim's brother has gathered details about the circumstances of the death but has not yet obtained a copy of the FIR filed in the case.