Researcher Documents Elaborate Fake CoinDesk Podcast Scheme Targeting Web3 Founders

A Web3 founder received a LinkedIn message in August 2026 inviting them to participate in a supposed CoinDesk podcast series called 'Why Crypto Became Personal', sent by an account posing as a Venture Scout at TheForms Ventures. The approach appeared professional and low-friction, with no immediate requests for wallet access, downloads, or investments, making it difficult to detect early on. Suspicion grew as the interaction progressed through scheduling, identity claims, and a promised AI translation setup, with no verifiable public link to the podcast series ever provided. During a Google Meet session on 25 August 2026, the conversation shifted to the researcher's operating system after a translation tool failed to work, suggesting the workflow may have been designed to deliver malware dependent on Windows or macOS. The researcher, whose Linux system disrupted the suspected funnel, preserved evidence and published a redacted incident report on GitHub to warn others in the Web3 community.

How a 1929 Land Gift Gave Lassen Volcanic Park Its First Museum

Homesteader Benjamin Loomis photographed the dramatic eruptions of Lassen Peak in 1914, documenting a pivotal moment in volcanic history. Together with his wife Estella, he later built a museum and seismograph station on their private land near the volcano. In 1929, the couple formally donated their 40-acre property, including these facilities, to the United States government. The site is now known as the Loomis Museum, located within Lassen Volcanic National Park in California. It continues to educate visitors about the region's volcanic past and the Loomis family's role in preserving its history.

How the US Federal Government Has Shaped Ski Lift Ticket Pricing Over Time

A historical overview explores the federal government's role in regulating ski lift ticket prices in the United States. The piece traces how government intervention in ski resort pricing has evolved across different eras and administrations. Federal oversight of lift tickets has intersected with broader debates about public land use, since many ski resorts operate on national forest land. The article examines the tension between commercial ski industry interests and public access concerns that has driven regulatory changes over the decades.

Instagram Launches First Draft Tool to Auto-Edit Reels for Creators

Instagram announced on Tuesday the rollout of a new editing feature called First Draft for its Reels video format. The tool automatically trims selected video clips and removes pauses to assemble an initial cut from the best moments. The announcement was made via a post on Threads, Meta's text-based social platform. First Draft is designed to reduce the time and effort creators spend on the early stages of video editing. The feature aims to streamline the Reels creation process by handling basic cutting tasks automatically.

How to run n8n in production using queue mode to prevent workflow failures

Self-hosted n8n commonly fails in production when heavy workflow executions overload the single process that also serves the UI and handles webhooks, causing editor freezes and silent workflow stops. A second common culprit is an unbounded executions table in Postgres that grows until it becomes a disk or performance bottleneck. N8n's recommended fix is queue mode, which splits the application into a main instance that manages the UI and webhooks and one or more worker instances that pull and execute jobs from a Redis queue. This separation means a heavy execution cannot block incoming webhooks, and workers can be scaled horizontally since all state is stored in Postgres. Key hardening steps include enabling execution pruning to cap history, scheduling verified database backups, pinning the n8n image version, and keeping Postgres and Redis off the public internet.

Fine-Tuning AI Models Often Masks Simpler Prompt or Data Problems

A software developer writing on DEV Community argues that most requests to fine-tune large language models are actually symptoms of prompt bloat or poor data quality rather than genuine model deficiencies. In two separate cases, the author traced apparent model failures to a hardcoded prompt example and an oversized system prompt exceeding 56,000 tokens per call, neither of which required retraining. The author outlines three diagnostic questions covering whether the problem involves changing knowledge (better solved by retrieval), whether the prompt has been stripped to its simplest form, and whether the developer has at least 1,000 clean, curated examples of the desired behaviour. From a personal project, over 450 examples were discarded from an initial pool of 1,418 due to unwanted rhetorical patterns, length inconsistencies, and repetitive openers. The piece warns that fine-tuning at roughly $30 and five hours per run on a 70-billion-parameter model introduces a second variable that makes debugging significantly harder.

Next.js API Proxy 502 Errors Fixed by Replacing Undici Fetch with Node HTTP Module

Developers using Next.js as a Backend-for-Frontend proxy discovered that long-running ML inference requests — such as audio generation on CPU taking several minutes — were failing with 502 errors due to undici's default header timeout of around 300 seconds. The inference service itself continued running normally, but the Next.js proxy layer was cutting off the connection before a response arrived. Attempts to override undici's timeout settings proved unreliable and environment-dependent, making them an inadequate long-term fix. The team resolved the issue by rewriting the proxy using Node's built-in http/https modules, which offer granular control over timeout behavior. Their solution enforces a 30-second connection timeout to catch unreachable services quickly, while removing any response timeout entirely to allow indefinitely long inference jobs to complete.

Southaven residents petition against xAI power plant over health and pollution concerns

A power plant built to supply energy to Elon Musk's xAI data centers has displaced at least one family from their ancestral home in Southaven. The facility's constant noise forced the family to abandon their residence, triggering broader community concern. Local residents have raised alarms about air pollution and a declining quality of life in the area. Neighbors are now actively pushing for cleaner air standards and more responsible development practices in their community.

CIA Director on secret Moscow visit: Reports

Code-Enforced Review Gates Beat Prompt Conventions in AI Agent Pipelines

A software project called ZOdyssey has implemented a code-enforced orchestration pipeline where an 8-phase review gate physically prevents AI agents from executing code until a verified plan approval is confirmed. Unlike most agent pipelines that rely on prompt instructions to enforce planning and review discipline, ZOdyssey uses a hook mechanism that reads a state field, making the review gate structurally impossible to bypass. The project's history highlights a recurring vulnerability: a critical Bash write-gate was silently deleted twice across versions, and three separate external audits failed to catch the regression because each only reviewed the immediate diff rather than re-checking earlier invariants. In response, the team embedded a regression test file whose sole purpose is to enforce that the gate exists, with its header explicitly documenting the deletion history as justification. The case illustrates a broader engineering principle — that security and workflow invariants in AI pipelines must be expressed as executable code, not documentation or model instructions.

RadScan AI Uses GCP and Vertex AI to Cut Radiology Scan Review Time by 6 Minutes

Developers built RadScan AI, an autonomous radiology triage tool, as an entry for the Google Cloud and Devpost All Things Agentic Hackathon. The system targets radiologist burnout, as clinicians currently spend 10 to 15 minutes manually reviewing each volumetric MRI study. RadScan AI combines a 2.5D CNN-BiGRU neural network trained on over 819,000 DICOM images with Google Cloud Run GPU microservices and Vertex AI Gemini models to detect 12 pathology types in under three seconds. The tool generates Grad-CAM visual heatmaps to highlight lesion locations and automatically drafts structured clinical reports, saving an estimated six minutes per scan. The backend is deployed on GCP Cloud Run with scale-to-zero support, keeping idle infrastructure costs at effectively zero.

Pellet gun row rocks Home Affairs panel

Barcode Generation: How to Pick the Right Tool for Your Team's Workflow

Engineering teams often face barcode generation requests without a clear workflow in place, leading to wasted time and reprints. There are three main approaches available: writing code with a library, using a spreadsheet harness, or relying on a hosted online generator. Each method carries distinct trade-offs in cost, scalability, and ease of maintenance — none is universally superior. Library-based rendering suits high-volume or regulated pipelines but requires careful configuration to meet retailer or scanner standards. Spreadsheet tools work well for non-technical teams handling low volumes, while hosted generators are fastest for one-off jobs but offer limited programmatic control.

Go 1.27 adds generic methods but bans them from interfaces, sparking debate

Go 1.27, released on August 19, 2026, introduced generic methods for concrete types such as structs, reversing a decade-long stance that the language would never support them. However, the release explicitly prohibits interfaces from declaring or implementing generic methods, a restriction that has frustrated many developers. The limitation stems from a fundamental runtime constraint: the compiler cannot determine at compile time which instantiations of a generic method will be needed, making dynamic dispatch incompatible with the feature. Go co-designer Robert Griesemer, who filed the original proposal in January 2026, argued that generic methods on concrete types are valuable on their own merits, independent of interface support. Critics acknowledge the pain point is real, but proponents argue the restriction is an honest engineering decision that prevents deeper breakage in type inference, reflection, and runtime behavior.

AI coding assistants nail secure login code, but business-logic gaps remain

A developer tested two AI coding assistants by prompting both to write a login endpoint that authenticates users and returns a session token. Contrary to common assumptions, both tools produced secure implementations, using parameterized queries to prevent SQL injection and proper session token handling. One assistant went further by storing only a hashed session token server-side, which the developer noted is a stronger pattern than using JWTs. The experiment was run through AI Code Guard, a PR security scanner the developer is building, and revealed that frontier AI models handle well-known security patterns reliably. However, the developer cautioned that the real risk likely lies in context-specific business-logic authorization, which is harder to catch with standard checks.

SpaceX Plans $100 Billion Starbase Investment and 3,000 Jobs in Louisiana

SpaceX has announced a major expansion plan centered on a new facility called Starbase in Louisiana. The company has committed to investing a minimum of $100 billion in the project. As part of the development, SpaceX expects to create more than 3,000 new jobs at the site. The announcement was made through an official company statement, signaling a significant long-term commitment to the state.

Why AI Agents Need Write-Side Custody Gates Before Storing Information

A software architecture concept called 'Write-Side Custody' proposes that AI memory systems should vet information before storing it, not just during retrieval. The core argument is that most AI memory design focuses on how to find stored data, while the more critical question — whether a piece of information should be stored at all — is largely ignored. Using Go code examples, the author illustrates how an AI research agent could incorrectly store a vendor's marketing claim as authoritative security policy if no admission controls exist. The proposed gate evaluates the source, the claimed authority, and organizational policy before allowing any write to durable memory. A separate 'Reasoning Ledger' is suggested to record decisions without making them, ensuring the custody layer remains auditable and enforceable.

Dolly Parton Dies at 80; Final Video Message to Kelce Goes Viral

Legendary country singer Dolly Parton passed away at the age of 80, with her family confirming the news. A video of Parton playfully commenting on Travis Kelce and Taylor Swift's rumored future child has resurfaced, taking on a poignant new meaning after her death. In the clip, she had expressed warm appreciation to the celebrity couple for their generous donation to her Imagination Library program. The initiative, which supplies free books to children, was one of the most cherished causes of Parton's enduring legacy.

FDA Clears First Wearable That Continuously Tracks Both Ketones and Glucose

The U.S. Food and Drug Administration has authorized the first wearable device capable of continuously monitoring both ketone and glucose levels simultaneously. The clearance marks a notable milestone in wearable health technology, expanding beyond existing continuous glucose monitors. Such a device could benefit individuals managing diabetes or following ketogenic diets by providing real-time metabolic data. The authorization was announced via an official FDA press release.

Trump Orders Week-Long Half-Staff Flags Nationwide to Honor Dolly Parton

President Donald Trump issued an order on Wednesday directing US flags to be flown at half-staff across the country for one week. The directive comes in response to the death of legendary country music icon Dolly Parton. Trump described her passing as a 'true loss for millions of people.' The week-long flag lowering reflects the national significance of Parton's cultural legacy.