# Developer Articoli collegati

Il Centro Notizie HTX fornisce gli articoli più recenti e le analisi più approfondite su "Developer", coprendo tendenze di mercato, aggiornamenti sui progetti, sviluppi tecnologici e politiche normative nel settore crypto.

A Critical Review of Base Co-founder's "Letter of Self-Criticism"

Yesterday, Base co-founder Jesse Pollak published a self-critical post on X, reflecting on Base's successes and failures over the past two years. While his candor is commendable, the author argues his analysis still misses key points. Jesse admitted his primary mistake was heavily betting that onchain social platforms (like Farcaster) and creator tokens would drive mainstream crypto adoption. The author harshly criticizes this strategy, giving it a "0/100" score. They argue onchain social offers no superior user experience, and creator tokens, like Jesse's own $JESSE, fail to solve fundamental issues about value and creator adoption, unlike successful memecoins on other chains. The author is more forgiving regarding Base lagging in areas like perpetual DEXs and prediction markets, giving this an "80/100". They note strong competitors like Hyperliquid had unique advantages, and Base has found significant success in other narratives like AI and RWA. The author gives Jesse's overall reflection a "60/100" or passing grade. While Jesse now correctly sees multiple paths to adoption (stablecoins, payments, AI Agents) beyond just social, he, along with other industry leaders like Toly and Vitalik, still underestimates the powerful role of memecoins in driving mainstream awareness and adoption. The critique concludes that leaders often leverage memes for user acquisition but fail to genuinely embrace or thoughtfully develop the space, revealing a retreat from idealism and a disconnect from grassroots, viral growth mechanisms.

marsbit07/17 02:36

A Critical Review of Base Co-founder's "Letter of Self-Criticism"

marsbit07/17 02:36

Aleo's First APAC Community Event to Land in Shanghai, Collaborating with OpenBuild to Build a Privacy Computing Developer Ecosystem

Aleo, in collaboration with the open-source developer community OpenBuild, will host its first Asia-Pacific (APAC) community event, "Aleo Shanghai Community Event," on July 26, 2026, in Shanghai. This event marks a key step in Aleo's APAC ecosystem expansion and aims to bring together developers, entrepreneurs, Web3 professionals, and AI enthusiasts to explore the trends in Zero-Knowledge (ZK) proofs, programmable privacy technology, and the innovative opportunities arising from the convergence of AI and privacy computing. Differing from traditional tech talks, the event emphasizes hands-on developer participation. Attendees will have the opportunity to experience Aleo's privacy infrastructure firsthand, engage in real on-chain interactions, and provide direct feedback to the Aleo team. The agenda will feature the official launch of Aleo's APAC Hackathon program, including details on competition mechanics, prizes, mentorship, and team formation. A core focus will be the theme "AI × Programmable Privacy," examining how privacy computing can serve as critical infrastructure for the next generation of the internet, particularly with the rise of AI Agents. A panel discussion titled "Do Agents Need Privacy by Default?" will delve into data security, identity privacy, and trusted interactions for AI Agents in future commercial applications. The event will also include product demonstrations, community networking, and free discussion sessions, designed to foster connections among local developers and advance the regional developer community. **Event Details:** * **Name:** Aleo Shanghai Community Event * **Date:** July 26, 2026 (Sunday), 13:30–18:00 * **Location:** Shengbang International Plaza, Shanghai * **Organizers:** Aleo × OpenBuild **About Aleo:** Aleo is a Layer-1 blockchain enabling programmable privacy, allowing developers to build decentralized applications that combine privacy with on-chain verifiability. It is backed by investors including a16z, Haun Ventures, Samsung Next, and SoftBank. **About OpenBuild:** OpenBuild is an open-source collaborative community for developers, focused on frontier technologies like Web3 and AI, supporting builders through the entire journey from idea to product realization.

marsbit07/16 05:54

Aleo's First APAC Community Event to Land in Shanghai, Collaborating with OpenBuild to Build a Privacy Computing Developer Ecosystem

marsbit07/16 05:54

Solana Upgrade Rumors Put Network Congestion Fixes Back In The Spotlight

Rumors of an upcoming Solana network upgrade have shifted focus towards potential fixes for network congestion, specifically around transaction scheduling. This highlights a broader market trend moving beyond token prices to scrutinize infrastructure, security, and practical utility. The report advises cautious interpretation, noting that while the rumor provides a concrete data point, its impact depends on actual implementation, adoption, and follow-up signals from developers, exchanges, and users. The story serves as a signal of the crypto market's increasing professionalism and focus on operational details, rather than a guarantee of immediate outcomes or a final verdict on Solana's trajectory.

bitcoinist07/15 02:24

Solana Upgrade Rumors Put Network Congestion Fixes Back In The Spotlight

bitcoinist07/15 02:24

Claude Accused of Becoming Dumber by the Entire Internet, Anthropic Steps In to Reveal: It’s Not the Model That’s Tricking You

When users complained that Claude was "getting dumber," the root cause wasn't the AI model itself. In an official blog post, Anthropic clarified the critical difference between two key settings in Claude Code: Model and Effort. Model refers to the core "brain"—the fixed, trained weights of a specific AI (like Sonnet, Opus, or Fable). Changing the Model addresses *capability* ("can it do this?"), but its knowledge is static post-training. Effort, however, controls the AI's *approach and thoroughness* for a specific task. A higher Effort level instructs Claude to read more files, run tests, perform verification, and complete multi-step reasoning before responding, significantly increasing its "work output" for that job. Conversely, low Effort leads to quicker, less thorough replies. This distinction explains the March 2024 uproar where users experienced a sudden drop in Claude's performance. The cause was not a model change but Anthropic quietly lowering the *default* Effort setting from "high" to "medium" to reduce latency, which was later reverted. The key insight is that a smaller, capable model (like Sonnet) on high Effort can often outperform a larger, more powerful model (like Opus) on low Effort for many tasks. The article provides a practical troubleshooting framework: if Claude makes an error, first check the context and instructions. If it seems to skip necessary steps or validations, increase Effort. If it diligently attempts the task but fails conceptually or makes consistent factual errors despite good context, then consider switching to a more capable Model. The takeaway is a shift in focus: effective AI programming is less about always choosing the "strongest" model and more about intelligently *orchestrating* models and effort levels—acting like a project manager to assign the right "brain" with the right level of diligence for each job, optimizing both results and cost.

marsbit07/12 05:56

Claude Accused of Becoming Dumber by the Entire Internet, Anthropic Steps In to Reveal: It’s Not the Model That’s Tricking You

marsbit07/12 05:56

Autheo Presents ETHToronto 2026, Bringing Builders Together to Shape the Future of Web3 & AI

The 5th Annual ETHToronto, presented by Autheo, will take place on July 22, 2026, as part of Canada Crypto Week. This gathering connects developers, founders, and innovators focused on the future of Web3 and AI. The event features an afternoon of sessions, starting with a Whitepaper Reading Club, followed by speaker sessions with leaders from Autheo, Arbitrum, Animoca Brands, OPTN Labs, Toronto DAO, Solana Foundation, and the Ethereum Foundation. As the Top Sponsor, Autheo is a Layer-0 Operating System that integrates blockchain, identity, compute, and AI tools to support builders. The day concludes with "Devs & Bevs," an evening networking event, and will include live interviews conducted by World Boss Media. ETHToronto runs alongside the Blockchain Futurist Conference during Canada Crypto Week.

TheNewsCrypto06/29 11:09

Autheo Presents ETHToronto 2026, Bringing Builders Together to Shape the Future of Web3 & AI

TheNewsCrypto06/29 11:09

This is How God Karpathy Uses Claude?

Andrej Karpathy, a prominent figure in AI, has reportedly joined Anthropic, leading to a noticeable decrease in his open-source contributions and social media activity. A document claiming to be his personal "CLAUDE.md" file—a set of instructions for the Claude AI to follow within a specific codebase—has been circulating online. While its authenticity is unverified, the content aligns closely with Karpathy's publicly shared principles on effective AI-assisted programming. The document outlines key rules for AI coding assistants, emphasizing the importance of reading existing code thoroughly before writing new code to maintain consistency. It advises against over-engineering, advocating for simple, surgical modifications that match the project's existing style. Other guidelines include clarifying assumptions upfront, writing meaningful tests, thoughtful debugging, and carefully considering dependencies. The core message is that these principles help prevent common AI coding failures, such as introducing unnecessary abstractions, style drift, or making invisible architectural decisions. The community has noted that even experts like Karpathy require detailed instructions to guide AI effectively, akin to managing a junior developer. A related GitHub repository, "andrej-karpathy-skills," which encapsulates these ideas, is reported to significantly reduce Claude's code error rate. Ultimately, the advice stresses that the best CLAUDE.md is tailored to one's own tech stack and coding practices.

marsbit06/27 07:32

This is How God Karpathy Uses Claude?

marsbit06/27 07:32

Tencent, Alibaba, ByteDance in a Battle for the Skill Store

Skill is becoming a key concept in the AI field, essentially serving as a structured "instruction manual" for AI Agents that specifies tool calls, decision logic, and output standards. This allows Agents to execute predefined tasks. As the number of Skills grows, distribution platforms have emerged. Major tech companies are swiftly entering this space. In March, Tencent, Alibaba, and ByteDance launched Skill stores within their respective Agent platforms. Subsequently, players like Zhipu AI, Meituan, and Xiaohongshu joined the fray. This competition for the "Skill store" is fundamentally a battle for the AI-era user entry point; whoever controls distribution controls the users. While ByteDance's Coze has experimented with paid Skills, most platforms offer them for free. The real value lies not in the stores themselves but in using them to attract and retain users within an ecosystem, driving revenue from services like cloud computing, model calls, or advertising. The landscape features three main player types: 1) **Internet giants** (e.g., Alibaba, ByteDance, Tencent, Meituan), leveraging Skills to drive traffic and monetize through their broader ecosystems (cloud services, transactions, ads). 2) **Large model companies** (e.g., Zhipu AI, Moonshot AI), using Skill stores to increase user engagement and monetize model API calls. 3) **Content platforms** (e.g., Xiaohongshu), treating Skills as a new content format to generate traffic and ad revenue. However, transforming Skill stores into a sustainable business faces significant hurdles. Key challenges include: the **difficulty in pricing Skills** due to inconsistent outputs across different models and contexts; **lack of cost transparency** (varying token consumption); **security risks** like Skill poisoning; and the **absence of standardized protocols** for development and evaluation. Unlike standardized mobile apps, Skills are often personalized workflows resistant to uniformity, which hinders the establishment of a reliable review and monetization system akin to the App Store. While there is genuine user demand for paid Skills—particularly in enterprise (e.g., contract review) and certain personal productivity scenarios—current platforms offer developers limited and unpredictable distribution. The future of Skill stores depends on overcoming these standardization, evaluation, and safety challenges to make acquiring a Skill as straightforward as downloading an app. For now, the stores function more as display shelves than robust marketplaces.

marsbit06/03 12:30

Tencent, Alibaba, ByteDance in a Battle for the Skill Store

marsbit06/03 12:30

Hoskinson Reaffirms Cardano Focus After IO Treasury Proposals Pass

Cardano's community treasury vote has ratified the "Developer Experience Initiative" proposed by Input Output (IO), securing funding for a six-month project to improve developer tooling and onboarding. The proposal passed with 67.90% approval, marking a governance win for founder Charles Hoskinson. He framed the vote as a critical response to developer complaints about fragmented tools and documentation, and a test of Cardano's post-Voltaire governance system, which he declared "real" and functional. The result coincided with Hoskinson publicly reaffirming his "100%" focus on Cardano and its privacy-focused sidechain, Midnight, following news of the closure of a separate personal healthcare venture. He emphasized the importance of ecosystem coordination among key organizations and committed to increased visibility for Cardano and Midnight at upcoming industry events. The broader funding round delivered a mixed outcome, with several other IO proposals failing to pass, indicating the community's selective support for core development work over other infrastructure and ecosystem spending requests.

bitcoinist05/26 09:02

Hoskinson Reaffirms Cardano Focus After IO Treasury Proposals Pass

bitcoinist05/26 09:02

Microsoft to Discontinue Using Claude: Too Expensive, or a Calculated Move?

Microsoft is discontinuing internal access to the AI coding assistant Claude Code for its engineers, citing high costs and transitioning them to its own GitHub Copilot CLI. Reports indicate that Claude Code's usage-based pricing model led to significant expenses, with estimates of $500-$2000 per engineer monthly, prompting cost reviews even at large firms like Uber. While Microsoft officially attributes the move to cost, analysis suggests it may also be a strategic move. Microsoft allowed internal use of Claude Code for six months to benchmark it against Copilot, gathering feedback to improve its own product. This "experiment" highlights deeper challenges: Microsoft lacks a competitive in-house general-purpose AI model, heavily relying on external partners like OpenAI and Anthropic. Claude Code has gained substantial market traction, surpassing Copilot in features like context window size and task completion rates, and is eroding Microsoft's control over the developer ecosystem. The shift signals broader industry concerns over AI pricing models and the strategic risks of dependency on external, rapidly evolving AI tools.

marsbit05/25 10:28

Microsoft to Discontinue Using Claude: Too Expensive, or a Calculated Move?

marsbit05/25 10:28

The Revived Codex, Carrying OpenAI's Hopes for IPO

This article analyzes the intense recent development of OpenAI's Codex, positioning it as a crucial component for OpenAI's impending IPO. Over the past two months, Codex has seen a rapid series of major updates focused on integrating into real enterprise workflows. Key new features include enhanced context capture (Appshots, file previews, built-in browser), long-running task execution ("Goal Mode"), remote operation (phone control, lock-screen access), and enterprise management tools (plugin sharing, access tokens, automated risk review). These updates aim to make Codex a comprehensive AI workbench that can "see the scene, push tasks, and manage risks." The author argues that while ChatGPT proves OpenAI's massive user base and API provides foundational revenue, Codex represents OpenAI's clearest path to demonstrating tangible, high-value commercial viability. It targets developers and engineering teams—a segment already accustomed to paying for efficiency gains in costly software development cycles. This is critical because, despite higher overall revenue, OpenAI's adjusted operating margins remain deeply negative, highlighting the challenge of outrunning immense compute costs. The pressure is amplified by competitor Anthropic's success with Claude Code, which has shown that a focused approach on high-value enterprise and developer workflows can lead to a path toward profitability. Codex's aggressive evolution is thus seen as OpenAI's strategic move to capture a similar enterprise-ready, revenue-generating narrative essential for its market debut. In essence, "ChatGPT proved OpenAI has users. Codex needs to prove OpenAI is a business that can make money."

marsbit05/24 04:55

The Revived Codex, Carrying OpenAI's Hopes for IPO

marsbit05/24 04:55

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