# Career İlgili Makaleler

HTX Haber Merkezi, kripto endüstrisindeki piyasa trendleri, proje güncellemeleri, teknoloji gelişmeleri ve düzenleyici politikaları kapsayan "Career" hakkında en son makaleleri ve derinlemesine analizleri sunmaktadır.

Just Now, Peking University Alumna Lilian Weng Announces Resignation: The Best 'Alignment' in the AI Era Is Taking Care of Yourself

Lilian Weng, a Peking University alumnus and former OpenAI executive, has announced her departure from Thinking Machines Lab, the AI startup she co-founded with ex-OpenAI CTO Mira Murati 20 months ago. Her resignation comes shortly after the company released its first open-source model, Inkling. In her farewell message, Weng cited health reasons as the primary factor, stating that the past seven months involved more illness than any other period in her life. The intense pressure and guilt of being unable to work during critical periods, like the Inkling launch, became unsustainable. She expressed that she could not continue in a role where she felt unable to give her full effort. Weng joined OpenAI in 2018, contributing to projects like the Dactyl robotic hand and later building the Safety Systems team from scratch. She is also widely known for her influential technical blog, Lil'Log. Her departure follows a period of high expectations and challenges for Thinking Machines, which secured a record $20 billion seed round at a $120 billion valuation in 2025 but has since seen fluctuations in its valuation and the departure of other key co-founders. Weng emphasized that she remains passionate about AI but needs a more predictable and defined role without the relentless pressure of a co-founder. Her exit highlights the immense personal toll and speed of competition in the AI industry, where the drive for progress often clashes with human limits. Her decision underscores that stepping back to prioritize well-being can be an act of courage.

marsbit21 saat önce

Just Now, Peking University Alumna Lilian Weng Announces Resignation: The Best 'Alignment' in the AI Era Is Taking Care of Yourself

marsbit21 saat önce

Father of Claude Code's Latest Assessment: Team Division of Labor Rewritten in the AI Era, These 'Five Types' Are Most in Demand

"In the era of AI reshaping software development, Anthropic's Claude Code team lead, Boris Cherny, proposes a future where traditional job titles dissolve. He identifies five fluid, behavior-based roles emerging in effective, AI-augmented teams: The Prototyper (generates disruptive ideas), The Builder (scales prototypes to production), The Sweeper (streamlines and refactors to combat bloat), The Growth (iterates on launched products for market fit), and The Maintainer (ensures long-term security and reliability). Crucially, these are not fixed positions. Individuals may span multiple roles depending on the project and its lifecycle stage. A designer might be a Prototyper and Sweeper; an engineer could be a Builder and Maintainer. Team composition should shift with product maturity: early-stage products need Prototypers, Builders, and Sweepers, while scaling products require more Builders, Growth roles, and Maintainers. The discussion highlights that role fluidity is key, as professionals often switch roles across different projects or as a single project evolves. While AI tools like Claude increasingly assist with tasks like building and sweeping, human adaptability and focus on goals over rigid job boundaries are seen as essential for future teams."

marsbit06/30 05:53

Father of Claude Code's Latest Assessment: Team Division of Labor Rewritten in the AI Era, These 'Five Types' Are Most in Demand

marsbit06/30 05:53

What Kind of People Is Anthropic Actually Hiring? Insights from 1,680 Resumes Provide the Answer

Contrary to the common perception of Anthropic as a PhD-heavy AI research lab, an analysis of 1,680 engineer profiles reveals its core talent is experienced "builders." The engineering team, largely assembled in the past 18 months (median tenure 10 months), hires senior engineers with a median of 12.2 years of prior experience. They primarily come from major engineering-focused companies like Google, Meta, Amazon, Microsoft, Stripe, Databricks, Snowflake, and Palantir, not primarily from other AI labs. Their backgrounds are infrastructure-heavy (40%), focusing on backend, distributed systems, databases, and security, with skills like Python, Java, C++, and AWS being common. Only 13.7% hold PhDs. The dominant job title is "Member of Technical Staff." For early-career hires (<6 years experience), entry is not based on standard work history but on prestigious signals: top internships (e.g., at FAANG or quant trading firms), competition rankings, research publications, or AI safety fellowship experience. The key insight for applicants is to present as infrastructure builders, highlighting experience with large-scale systems, not as pure researchers, reflecting Anthropic's identity as a highly engineered infrastructure company.

marsbit06/15 03:28

What Kind of People Is Anthropic Actually Hiring? Insights from 1,680 Resumes Provide the Answer

marsbit06/15 03:28

2026年AI热潮下，普通人如何赢？

In the 2026 AI boom, winning means using AI to measurably improve your life—through increased income, time, flexibility, skills, and security. The author outlines three paths to avoid being trapped by AI and instead leverage it to build a better future. 1. **Career Architect**: Optimize your current role by using AI to enhance productivity and value within your organization. This involves building domain-specific AI workflows, continuously learning AI tools, and gaining basic technical skills. It’s the lowest-risk, highest-probability path for most professionals. 2. **Income Architect**: Create independent income streams outside traditional employment. This path suits those seeking financial autonomy without full-scale entrepreneurship. Examples include productized AI solutions (e.g., automated content or design services) and content/audience monetization (e.g., building a niche following on social platforms for paid opportunities). 3. **Venture Architect**: Build scalable AI-native businesses, such as tools, agencies, or consulting firms. This high-risk, high-reward path requires experience, resources, and resilience. It often evolves from success in the Income or Career paths. The key takeaway: Speed and execution matter most. Instead of waiting for perfect information, start acting—experiment, iterate, and adapt. The biggest risk in the AI era is inaction.

marsbit03/31 08:46

2026年AI热潮下，普通人如何赢？

marsbit03/31 08:46

Technological Fantasy or "Career Killer"? Deep Reflection Under the Wave of AI Layoffs

Amid the rapid adoption of AI tools like OpenClaw, a wave of layoffs is sweeping across industries from North America to Asia. Major companies, including Meta and Crypto.com, are cutting jobs—up to 20% or more in some cases—not due to economic pressure but as part of a strategic shift toward AI-driven productivity. In Q1 2026 alone, over 20% of tech layoffs were attributed to AI and automation. Roles most affected include programmers, customer service reps, data entry clerks, and marketing specialists—jobs with high language or data-processing components. Even creative and industrial roles are at risk if they involve repetitive, template-based tasks. Industries like finance, media, and logistics are also experiencing disruption as AI automates standardized workflows. The report from Anthropic highlights that positions requiring low emotional intelligence, physical interaction, or complex decision-making remain safer. To stay relevant, workers must focus on skills AI can’t replicate: empathy, creative problem-solving, and strategic judgment. The key is not to resist AI but to adapt, using it as a tool while deepening human-centric capabilities. The era of AI collaboration has begun—those who evolve will thrive; those who don’t may face obsolescence.

marsbit03/28 00:14

Technological Fantasy or "Career Killer"? Deep Reflection Under the Wave of AI Layoffs

marsbit03/28 00:14

Under the AI Wave, Which Web3 Careers Are Rapidly Disappearing?

The rapid advancement of AI is profoundly impacting the Web3 job market, leading to the decline of several traditional roles while creating new opportunities. Roles such as junior Solidity developers, entry-level researchers, community moderators, crypto traders, and NFT artists are increasingly being replaced by AI, which can perform these tasks faster, cheaper, and often more effectively. Conversely, new Web3 professions are emerging. These include AI-Web3 synergy architects, who design systems for AI and blockchain integration; AI agent training coordinators, managing multi-agent collaboration; advanced prompt engineers crafting behavioral frameworks for AI; on-chain behavioral economists designing anti-AI-exploit tokenomics; Web3 compliance and ethics officers addressing algorithmic bias; and privacy and proof-of-humanity experts verifying human identity in an AI-dominated landscape. The key takeaway is adaptability. Web3 professionals must assess whether their current roles will remain relevant and focus on areas where human-AI collaboration creates value—the intersection of human ingenuity and machine efficiency.

marsbit03/01 03:57

Under the AI Wave, Which Web3 Careers Are Rapidly Disappearing?

marsbit03/01 03:57

Reflections from the Co-founder of Bitlayer: After Helping 600 People Find Jobs in 15 Years, I Decided to Stop Doing Recruitment

After 15 years of helping over 600 people find jobs, Bitlayer co-founder Kevin He reflects on his journey from being a passionate recruiter to pivoting toward a new vision: AI-powered "digital co-founders." He initially launched COCO AI in mid-2025 to optimize recruitment using AI, but soon realized traditional hiring was becoming less relevant. Companies were hiring less, and skill gaps persisted despite matching tools. A turning point came when his team built zylos, an AI system that handled tasks like social media, coding, and data processing—enabling one person to do the work of a team. This, combined with the rise of digital employees (like Claude Code and the success of Manus, acquired by Meta), shifted his perspective. He now believes the future lies in empowering individuals with organizational-level capabilities through AI, rather than optimizing job matching. COCO 2.0 is now focused on building “digital co-founders”—AI agents that help people start and run businesses alone, without needing to hire or be hired. The essay ends with an open question: In an era where AI augments individual potential, can one person become a company?

marsbit01/28 04:03

Reflections from the Co-founder of Bitlayer: After Helping 600 People Find Jobs in 15 Years, I Decided to Stop Doing Recruitment

marsbit01/28 04:03

Encrypted Workplace Survey: Low Salaries Widespread and Layoffs Without Compensation, How Should Practitioners Respond?

Based on a survey of 506 professionals, the crypto industry's workplace reality is revealed to be starkly different from its "get-rich-quick" myth. Key findings show over 70% of respondents earn a monthly salary below $4,000, with compensation and benefits lagging behind traditional tech sectors. Nearly half have experienced layoffs, and 40% of those received no severance pay. Furthermore, 70% reported never receiving token-based incentives, and a quarter are in a "pay-to-work" situation, having lost money overall in the sector. Despite these challenges, factors like remote work flexibility (available to 70%), manageable working hours, and the freedom to take on side jobs contribute to a moderate job satisfaction score of 3.51/5. Over 80% of respondents plan to remain in the industry, driven by the long-term goal of accumulating $1-5 million for retirement, though most are pessimistic about the 2026 job market outlook.

比推12/26 14:02

Encrypted Workplace Survey: Low Salaries Widespread and Layoffs Without Compensation, How Should Practitioners Respond?

比推12/26 14:02

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