Amazon Hits $3 Trillion as AWS Posts 37% Growth But Struggles to Meet Demand

Amazon has joined a rare group of companies by surpassing a $3 trillion market valuation. Its cloud division, AWS, recorded $42.2 billion in quarterly revenue, marking 37% year-over-year growth — its fastest rate in over four years. Despite Amazon planning capital expenditure of around $220 billion for 2026, CEO Andy Jassy acknowledged that AWS will still lack sufficient capacity to meet customer demand through 2025 and into 2026. The shortfall highlights a broader shift in the AI industry, where the key bottlenecks are no longer algorithms or talent but physical infrastructure such as chips, power, and data centers. Analysts and developers are increasingly focused on compute efficiency and workload optimization as cloud capacity becomes a scarce and strategically critical resource.

Nagpur rape accused demands pizza, soft bedding; refuses questioning and medical aid

A 20-year-old BBA student in Nagpur has been arrested on charges of abduction and sexual assault. While in police custody, he has been demanding luxury amenities including pizza and soft bedding. The accused is refusing to cooperate with investigators, declining both police questioning and medical treatment, and withholding passwords to his digital devices. He has alleged police misconduct, claiming officers stole cash from his residence. Authorities are keeping him under close watch for self-harm risks while pursuing digital evidence in the case.

Hank Green found the AI problem that YouTube labels can’t catch

"Slop" isn't the only problem.

Developer Documents Personal Switch from Android to Linux on Mobile

A developer has shared their experience of transitioning their personal smartphone from Android to a Linux-based operating system. The decision appears motivated by a desire for greater control, privacy, or openness compared to mainstream mobile platforms. The author documented the process and findings on their personal blog at runarcn.no. The post gained attention on Hacker News, sparking early discussion among the tech community. The move reflects a broader niche interest in Linux mobile alternatives as viable daily drivers.

Angular's Lazy Resource Design Evolves After Community Pushback and RxJS Insights

A developer recently proposed a 'lazy resource' feature for Angular that delays data loading until something actively reads it, rather than loading eagerly by default. A contributor named wartab challenged the initial design by sharing a production implementation where only long-term observers like templates or effects trigger loading, not plain reads. This conflict between two working but opposing rules prompted further design iterations, including separating read intents into distinct entry points such as peek() and toPromise(). However, building out the multi-strategy model exposed hard-to-defend edge cases, particularly around resources that could never return to sleep after a single imperative read. The author ultimately translated the problem into RxJS terms, drawing on its decade of production-tested patterns around hot and cold observables to find a more defensible model.

Developer Goes from AI Skeptic to Claude Convert After Years of Frustration

A solo developer initially despised AI coding tools like Cursor and Code Rabbit, finding them overly intrusive and disruptive to their workflow. The tools were used during a team project, where the developer reluctantly complied with AI-driven suggestions on optimization, syntax, and type safety. Once the project ended due to funding issues, the developer returned to solo coding, which they describe as their preferred way of working. Early this year, they discovered Claude, which apparently changed their perspective on AI assistance. The shift marks a notable turnaround for someone who had been deeply resistant to AI tools in software development.

How Small SaaS Teams Should Handle Thumbnail Generation Without Overengineering

For early-stage SaaS products, storing original images in object storage and generating thumbnails asynchronously via a backend worker is recommended over real-time edge transformation or synchronous resize-on-upload. This approach separates durable storage from compute, keeps operational complexity low for small on-call teams, and allows thumbnail availability to be tracked as a measurable service-level objective. Resizing images synchronously during upload is discouraged because image decoding can consume unpredictable CPU and memory, tying upload reliability to thumbnail generation. However, this pattern is not suitable when users require arbitrary dimensions, format conversion, or global edge delivery, in which case a dedicated image CDN like Cloudflare Images or imgix is more appropriate. A real-world incident highlighted the risk of treating a successful HTTP response as proof of thumbnail completion, underscoring the need to monitor actual output artifacts rather than just transport success.

Iran Warns Gulf States Face Retaliation if US Launches Fresh Strikes

Iran has issued a stark warning to Gulf states, threatening to target them if the United States carries out new military strikes against Iran. The warning was conveyed through a series of high-level diplomatic communications involving regional actors. The threat came in direct response to US President Donald Trump's warning on July 28 to strike Iran's energy infrastructure and broader network. The escalating exchange of threats marks a significant rise in tensions between Washington and Tehran. Gulf states now find themselves caught in the crossfire of the deepening US-Iran standoff.

AI Hacking Proves Most Effective When Paired With Human Expertise

Security researcher James Kettle conducted experiments to test the boundaries of artificial intelligence in cybersecurity attacks. His findings revealed that AI alone has notable limitations when it comes to advanced hacking techniques. However, when AI tools are combined with human expertise and oversight, their effectiveness increases significantly. The research highlights that the most dangerous AI-assisted hacking methods still rely on a human in the loop to guide and refine the process.

Bifrost Gateway Adds OAuth 2.0, RBAC, and Manual Approval to Secure MCP Tool Access

Bifrost is an open-source MCP gateway designed to prevent unauthorized or accidental access to production systems by AI agents and developers. It introduces a human-in-the-loop model where LLM tool calls are treated as suggestions only, requiring explicit application approval before execution via a dedicated API endpoint. Access control defaults to deny-all, meaning virtual keys without specific MCP configurations receive no tool access, and unrecognized clients are automatically blocked. The platform also supports optional governance features including role-based access control, single sign-on, audit logs, and tool group management. Developers can set up Bifrost locally via a single terminal command and configure MCP servers with custom authentication types ranging from shared API keys to per-user OAuth flows.

AirLLM Library Lets Developers Run 70B Parameter AI Models on 4GB GPUs

AirLLM is an open-source Python library created by developer lyogavin that enables large language model inference on standard consumer hardware with minimal VRAM. Instead of loading an entire model into GPU memory, it streams individual neural network layers sequentially from disk, processes each one, and clears memory before loading the next. This approach reduces VRAM requirements by over 90%, allowing 70B parameter models to run on 4GB GPUs and 405B models on 8GB GPUs. Unlike many memory-saving tools, AirLLM supports full 16-bit precision inference without relying on aggressive quantization that can degrade model output quality. The library is compatible with desktop PCs, cloud instances, and Apple Silicon Macs, and requires only a few lines of Python code to integrate.

SpaceX Claims Starlink Mobile Will Outperform Major US Carriers

SpaceX has made bold claims that its upcoming Starlink Mobile service will surpass the network quality of leading US carriers AT&T, T-Mobile, and Verizon. Rather than constructing large traditional cell towers, SpaceX plans to deploy a network of smaller base stations across the United States. The strategy reflects SpaceX's broader ambition to disrupt the domestic telecommunications market using its existing satellite infrastructure. If the claims hold, Starlink Mobile could pose a significant competitive challenge to the established wireless industry.

Navigation sat NVS-03 ready for launch, 3 more to follow: Space min Jitendra Singh

TikTok Blames Moderator Error for Delayed Removal of Disturbing Perez Hilton Stream

Celebrity gossip blogger Perez Hilton appeared on a TikTok livestream covered in what looked like blood and holding a knife-like object. TikTok eventually cut the stream but acknowledged the delay was due to a moderation error. The platform faced criticism for not acting more swiftly to remove the alarming content. Hilton has since been hospitalized following the incident.

The Job Board Is Lying to You

Article URL: https://nanomicon.com/blog/260730-the-job-board-is-lying-to-you Comments URL: https://news.ycombinator.com/item?id=49187792 Points: 7 # Comments: 1

How Brain Dominance Affects Trading Decisions, According to Neuroscience

A trader and developer claims that matching your trading strategy to your brain's dominant hemisphere — left (analytical) or right (intuitive) — can significantly reduce losses. Left-brain dominant traders tend to suffer from analysis paralysis, relying on too many indicators before entering a trade, while right-brain dominant traders are prone to overtrading and emotional decision-making. The author proposes a self-assessment test to identify hemispheric dominance and recommends tailored fixes, such as limiting indicators to three for left-brain types and capping daily trades at three for right-brain types. Practical tools including trading checklists and Python-based trade-limiting scripts are suggested to enforce these behavioral guardrails. The core argument is that trading failures often stem not from poor strategies but from a mismatch between a trader's cognitive style and their chosen approach.

Jeff Dean and Google AI veterans leave to launch science-focused AI startup

Jeff Dean, a prominent Google executive and AI pioneer, is departing the company alongside other senior researchers to found a new startup. The venture is focused on applying artificial intelligence to accelerate scientific discovery. The group represents a notable exodus of top-tier AI talent from one of the industry's leading organizations. Their collective mission centers on using AI as a tool to push the boundaries of scientific research and innovation.

20 LEO satellites at higher collision risk due to crowding: Space min Jitendra Singh

DEV Community Updates Challenge Rules: One Submission Per Prompt, Stricter Deadlines

DEV Community has announced updated guidelines for its challenge program, effective for all future challenges after this post. Going forward, participants will be limited to one submission per prompt, though a single entry can still qualify for multiple prize categories. Projects must also be created within the official challenge timeframe unless an exception is explicitly stated in the announcement. Any code commits made after the submission deadline will not be considered, and participants who cannot account for late commits in their readme risk disqualification. The changes do not affect currently running challenges, such as Bug Smash and Frontend Challenge: Comfort Food Edition.

What Makes a Good Bug Report: Key Components Every QA Tester Should Know

A bug report is a structured document that records software defects, helping developers understand what went wrong, where it occurred, and how to reproduce it. Two critical concepts in bug reporting are severity, which measures how badly a defect affects system functionality, and priority, which determines how urgently it needs to be fixed. An effective bug report typically includes a descriptive title, steps to reproduce the issue, expected versus actual results, and environment details such as browser, operating system, and device. Attachments like screenshots, videos, and error logs are also recommended to provide additional context. Writing clear, behavior-focused titles — describing what is happening rather than what is not — helps developers quickly grasp the issue without reading the full report.