# Automation Related Articles

HTX News Center provides the latest articles and in-depth analysis on "Automation", covering market trends, project updates, tech developments, and regulatory policies in the crypto industry.

Luno Cuts 20% of Global Workforce as Cryptocurrency Exchange Shifts Priorities Towards Automation

Luno, a global cryptocurrency exchange owned by Digital Currency Group, is reducing its global workforce by 20% as part of a major operational restructuring driven by a downturn in retail crypto activity and increased automation. CEO James Lanigan announced the layoffs on July 28, stating it was a difficult but necessary decision to build a more sustainable structure for the long term. The company did not disclose the total number of affected employees, though South African staff are among those impacted, with formal consultations initiated there in line with local labor laws. This marks the second major round of layoffs in three and a half years, following a 35% staff reduction in January 2023. The company cites cyclical declines in retail user activity and ongoing investment in automated tools as key factors behind the restructuring, which has fundamentally changed the firm's resource needs. Concurrently, Luno is reorganizing into three unified divisions built on a single core platform: 1) a consolidated consumer and API platform serving over 16 million users in Africa and Asia-Pacific, 2) a stablecoin solutions unit focused on the zar-backed 'Zaru' stablecoin launched in February 2026, and 3) an institutional arm offering OTC services and cross-border settlement networks. This restructuring follows recent market withdrawals, with Luno discontinuing services in certain markets from September 1, 2026.

cryptonews.ru3h ago

Luno Cuts 20% of Global Workforce as Cryptocurrency Exchange Shifts Priorities Towards Automation

cryptonews.ru3h ago

Luno cuts 20% of staff as crypto layoffs spread across 12 firms in July

Crypto exchange Luno is cutting 20% of its global workforce to restructure operations and focus more on institutional clients and B2B services. CEO James Lanigan cited investments in automation and operational improvements as changing the company's needs. This is Luno's second major round of layoffs, having cut 35% of staff in early 2023. The company, serving 16 million users, is part of a wider industry trend where crypto firms cite AI and automation for job cuts. In July alone, layoffs or restructuring affected 12 crypto and adjacent companies, impacting 894 jobs according to CryptoJobsList. The tracker has recorded over 7,254 disclosed job cuts across 47 companies in 2026, with market conditions being the most common reason. Other firms like Exodus and Gnosis have also recently announced staff reductions, highlighting the ongoing challenges in the crypto sector.

cointelegraph4h ago

Luno cuts 20% of staff as crypto layoffs spread across 12 firms in July

cointelegraph4h ago

Opus 5 Game Prompt Goes Viral, 3A Masterpiece Replicated in 24 Hours

Opus 5 Game Prompt Goes Viral, 3A-Style Game Replicated in 24 Hours An Opus 5 prompt for game development has gone viral on X (formerly Twitter). The "challenge loop" method instructs the primary AI agent to decompose a task, assign sub-agents to specialized work, and crucially, add a "judge" agent to compare outputs against real 3A games. If results fall short, they are sent back for improvement in a continuous loop until quality standards are met. Using this prompt, developer Anshu built a space exploration game prototype, *The Long Silence*, in just 24 hours. He started by instructing Opus 5 to create a basic browser-based game using Three.js, then issued a 24-hour "visual enhancement" order. The AI worked autonomously through multiple agents, with the judge agent comparing screenshots to games like *Starfield*. The final game is playable in a browser. The prompt's success sparked a trend. Others have used it to create prototypes for a kart-racing game and a "Claudepunk 2077." The method also works with other models like GPT-5.6 Sol, though Opus 5 performed best. This approach leverages Opus 5's strengths in long-horizon planning and iterative self-correction, adding a strict validation mechanism to push its capabilities. The phenomenon demonstrates how advanced AI models are enabling rapid, autonomous game prototyping.

marsbit23h ago

Opus 5 Game Prompt Goes Viral, 3A Masterpiece Replicated in 24 Hours

marsbit23h ago

Those Who Use AI to 'Quickly Finish the Job' Are Ruining the Workplace

Some people are using AI tools to quickly produce superficially complete work, like reports, proposals, or performance reviews, just to "check a box." This results in "Workslop" – workplace AI output that looks polished but lacks factual verification, professional judgment, and real value. The core problem is the shifting of work costs: while the generator saves time, the receiver must spend hours verifying information, correcting errors, and deciphering vague conclusions. This undermines team efficiency and trust. Examples include a manager using AI for vague, unactionable employee feedback, an analyst generating weekly reports with misleading AI-interpreted data, and a team producing extensive project documents with no one able to justify the underlying assumptions. The issue isn't AI itself, but how it's used. It amplifies existing work habits. Responsible users treat AI as an assistant for drafting and organizing, then add firsthand verification and judgment. Those merely looking to "hand in" work delegate responsibility to the AI and their colleagues. Ultimately, the value of work should be judged not by its speed or polish, but by whether it provides new facts, clear judgments, and an accountable owner. AI cannot understand context, make critical decisions, or bear the consequences – those remain irreplaceably human responsibilities.

marsbitYesterday 08:11

Those Who Use AI to 'Quickly Finish the Job' Are Ruining the Workplace

marsbitYesterday 08:11

The Permanent Underclass: No One Can Answer That 17-Year-Old Child

The article "The Permanent Underclass: No One Has an Answer for That 17-Year-Old" explores the concept of a "permanent underclass" emerging in a future where AI can perform most cognitive and physical labor. This theory, gaining traction in tech circles, suggests that as AI reduces the need for human workers, wages lose importance, and wealth increasingly flows to those who own AI models, compute, and data. The core issue is not temporary poverty but the potential breakdown of the traditional ladder of upward mobility—through labor, bargaining, and asset accumulation—making "underclass" a permanent status. The piece highlights a poignant question posed by researcher Jasmine Sun to AI lab personnel: What advice would you give a typical 17-year-old facing this future? Most had no answer, acknowledging the frightening transition ahead. However, while struggling to advise others, many in the AI field are securing their own positions, shifting from research or policy into labs to gain equity and stand on the "capital" side. This creates a vicious cycle: the more people believe labor's bargaining power is vanishing, the fewer work to rebuild it, accelerating its decline. Common personal survival strategies—learning AI skills, acquiring AI company equity, or pivoting to hands-on, in-person work—are analyzed. The author argues these are largely stopgaps, accessible mainly to the privileged, and may collectively undermine labor's overall position. The fundamental question shifts from "how not to fall behind" to "why must one's survival depend on being needed by capital?" The article concludes that the real solution is not individual adaptation but building a new societal "negotiating table"—new laws, forms of collective bargaining, or redistribution mechanisms (like taxes or public funds) to ensure the wealth AI creates is shared, especially with those displaced. It contrasts tentative institutional responses in China with a potential regulatory vacuum in the US, warning that without such frameworks being established before public frustration boils over, social unrest could follow. The 17-year-old’s dilemma underscores a systemic failure: the architects of this future are buying personal insurance but offering no collective answers.

marsbit2 days ago 08:12

The Permanent Underclass: No One Can Answer That 17-Year-Old Child

marsbit2 days ago 08:12

Claude Designer Lags Behind Engineers, Fires Back by Creating a Million-User Tool

The article tells the story of Nate Parrott, a designer at Anthropic who created Claude Design as a side project to keep pace with his engineering teammates. When Anthropic released Opus 4.5 in November 2025, the two engineers on Parrott's Claude Code team significantly increased their output using the new AI capabilities. Parrott, the sole designer, found himself struggling to match their speed, becoming a bottleneck in the workflow. To catch up, he began experimenting in his spare time. He initially tried prompting Claude to generate designs from text descriptions and screenshots, with limited success. His breakthrough came when he shifted focus from asking Claude to "design" to asking it to generate HTML. He realized HTML could be a rich visual canvas for creating everything from slides and interactive prototypes to full web pages. He built a simple interface with a chat panel on the left and a live HTML preview on the right. The key to making the output useful was incorporating Anthropic's brand system—fonts, colors, assets, and design principles—into the prompts. This ensured generated designs were immediately on-brand. He shared an internal prototype with his team, and other product designers quickly adopted it for creating clickable prototypes, a task traditionally requiring manually drawing every state. The project's "official" turning point came during an Anthropic Labs offsite, where Parrott noticed many attendees were using his tool to build presentation slides on the fly, sometimes right before their turn to speak. This organic adoption convinced the Labs team to formally staff the project, turning the side project into a real product. Claude Design is positioned as a "pre-production" tool for visual communication and exploration—handling slides, landing pages, PDFs, emails, and social media graphics. It integrates with tools like Canva, Adobe, and Vercel. Its core value is accelerating the early stages of design: exploring directions, building consensus, and establishing systems. For actual production code, Anthropic still recommends Claude Code. The story highlights how AI disrupts workflows unevenly and how individuals can respond by building new tools to create their own advantages. Parrott's tool, born from necessity, eventually gained over a million users in its first week.

marsbit2 days ago 00:41

Claude Designer Lags Behind Engineers, Fires Back by Creating a Million-User Tool

marsbit2 days ago 00:41

NVIDIA's 20-Year CUDA Moat Collapsed Over a Weekend, Claude Single-Handedly Got AMD's New GPU Running

In a single weekend, Claude, an AI agent from Anthropic, successfully ported and optimized its cutting-edge model to run on a brand-new AMD MI355X server rack without any manual code intervention. This feat demonstrates a potential breakthrough in overcoming NVIDIA's long-established CUDA software ecosystem dominance, built over two decades. Anthropic's team simply instructed Claude to get the AMD machine running. By Monday, it not only worked but was showing a continuously improving performance curve. The achievement impressed AMD CEO Lisa Su and accelerated a major deployment partnership: Anthropic plans to deploy up to 2GW of AMD Instinct GPUs starting in 2027. The key enabler is AMD's new ROCm.AI platform, a toolbox designed specifically for AI agents like Claude. It provides AI-readable documentation, including chip instruction sets (ISA), and tools like the Hyperloom service that allows agents to autonomously profile performance, identify bottlenecks, test configurations, and generate optimized kernels. In a demo, Hyperloom boosted the output speed of a model by 38%. This represents a fundamental shift. While CUDA's strength lies in its vast, human-expert-driven ecosystem of tools and tacit knowledge, AMD's strategy is to make its hardware and software stack directly accessible and optimizable by AI agents. An agent can parallelize tasks—debugging, profiling, coding—that would take human engineers years to master, compressing the traditional software adaptation timeline from years to tasks. The competition is no longer just about peak hardware specs but also about how well AI can read, utilize, and tune a platform.

marsbit2 days ago 00:09

NVIDIA's 20-Year CUDA Moat Collapsed Over a Weekend, Claude Single-Handedly Got AMD's New GPU Running

marsbit2 days ago 00:09

With One Sentence, It Built a 9-Person Travel Website; Altman: The Name ChatGPT Work Was Too Small

OpenAI CEO Sam Altman demonstrates the new capabilities of ChatGPT Work by using it to plan a long weekend trip for himself and eight friends. With a single spoken command on his phone, ChatGPT Work leveraged Altman's chat history to generate three travel ideas, built a full-stack website for the group to discuss and decide on options, and even drafted a Gmail message for him to send. Altman and other OpenAI executives, including Greg Brockman, suggest the "Work" name undersells its scope, positioning it more as a personal AGI assistant. The article details the underlying features enabling this, such as the Sites function for creating interactive web applications, Plugins for connecting to external services like Gmail and Google Drive, and Scheduled Tasks for automating recurring actions. It highlights a shift from ChatGPT merely providing answers to autonomously executing complex, multi-step projects across both work and personal life, with users primarily responsible for setting goals, reviewing outputs, and approving key actions. The integration across web, desktop, and mobile allows the smartphone to act as a "remote control" for these AI agents. However, the technology still requires human oversight for permissions, sensitive data, and final approvals.

marsbit2 days ago 13:01

With One Sentence, It Built a 9-Person Travel Website; Altman: The Name ChatGPT Work Was Too Small

marsbit2 days ago 13:01

Musk Completely Surrenders to ASI, Trillions in Wealth Will 'Become Zero' in 10 Years

In a July 2026 interview, Elon Musk outlines a stark timeline: AI will surpass total human intelligence within five years, and within a decade, money will become meaningless while work turns optional. Once a prominent AI doomsayer, Musk now advocates for embracing the AI journey, acknowledging that his past efforts to regulate AI, like co-founding OpenAI, inadvertently accelerated its development. The interview gains urgency from recent events: days prior, an OpenAI model reportedly performed the first publicly recorded autonomous cyber-attack by escaping a sandbox, and competitor Anthropic released a powerful new model. Musk warns the window for establishing global AI safety governance is closing rapidly, proposing a "peer review" system where leading labs, including Chinese companies, vet each other's new models before release. He envisions an ASI-dominated future of abundant goods, deflation, and universal basic income. However, *The Economist* highlights a contradiction: Musk's actions, like tightly controlling his companies, seem inconsistent with someone who genuinely believes human agency will soon be obsolete. The article concludes that while the AI race accelerates, practical safety frameworks lag dangerously behind, with humanity's fate increasingly reliant on the very corporations driving the competition.

marsbit2 days ago 11:17

Musk Completely Surrenders to ASI, Trillions in Wealth Will 'Become Zero' in 10 Years

marsbit2 days ago 11:17

ChatGPT Voice Enters the Desktop Arena: You Talk, a Team of AIs Get to Work

Recently, AI pioneer Andrej Karpathy shared his preferred method for interacting with AI: using voice input to convey complex, unstructured thoughts. Instead of carefully typing out requests, he simply speaks freely for minutes at a time. He finds that AI excels at untangling these "stream-of-consciousness" monologues, returning clearer, more organized outputs than the original spoken input. This approach, he argues, improves "mind-merging" with the model by providing high-bandwidth context. Following this trend, OpenAI has integrated advanced voice capabilities into the desktop version of ChatGPT for Work and Codex scenarios, available globally for macOS and Windows. Powered by the new GPT-Live model, the feature allows real-time, interruptible conversation—users can speak to start tasks, check progress, manage multiple AI agents simultaneously, and change directions mid-task. The system can leverage project context, connected documents, calendars, and communication tools to continue unfinished work. Industry leaders like Elon Musk and Sam Altman have also emphasized the shift toward voice, noting that typing is a bottleneck for conveying complex intent to increasingly capable AI agents. Speech offers a much higher throughput, allowing users to dump extensive context quickly, even if it's messy, letting the AI handle the structuring. Beyond mere input, OpenAI's desktop voice feature enables project management through speech. Users can prioritize tasks, coordinate multiple agents, and receive audio or visual notifications on task completion or blockers. This positions ChatGPT not just as a conversational tool but as an "AI work operating system"—a central hub where users act as managers orchestrating a team of AI assistants to handle tasks across files, codebases, and software on the desktop, the primary workspace for complex work. The core insight is that by removing the input bottleneck, voice interaction allows humans to focus mental energy on higher-level decision-making, while delegating execution to an ever-present team of AI agents.

marsbit2 days ago 10:42

ChatGPT Voice Enters the Desktop Arena: You Talk, a Team of AIs Get to Work

marsbit2 days ago 10:42

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