# Development İlgili Makaleler

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

Latest Interview with Cyber Godfather Tibo: Dedicated Physical Button for Resets, 'I Reset Whenever I Want'

Tibo, the head of OpenAI's Codex project, recently discussed AI's future and OpenAI's strategy in an interview. He revealed that Codex and ChatGPT are set to merge into a single, highly personalized AGI that adapts its interface to individual users. The future of AI Agents, he believes, lies in making complex mechanisms like skill management "disappear," creating a seamless partner that understands context and goals. As models grow more powerful, local hardware will become a bottleneck, pushing agents to the cloud for greater computational resources. He highlighted the upcoming "Ultra Fast" mode, which will significantly reduce response times, shifting workflows back to real-time interaction and "flow" states rather than constant context switching. OpenAI's focus, according to Tibo, isn't just on building the strongest models but on delivering powerful capabilities to as many people as possible, emphasizing broad distribution, community involvement, and lowering barriers to use. Tibo also touched on OpenAI's culture of rapid iteration and empowerment, contrasting it with his past experience at Google. He confirmed that OpenAI is already practicing "recursive self-improvement," using powerful models to optimize infrastructure, creating a feedback loop of increasing capability and efficiency. The interview concluded with his thoughts on future human-AI interaction, which he envisions as increasingly natural, multimodal, and voice-first, adapting to human communication styles rather than the reverse. He also humorously noted the existence of a physical "reset" button for user quotas, symbolizing OpenAI's user-centric approach of compensating users during service issues.

marsbit5 saat önce

Latest Interview with Cyber Godfather Tibo: Dedicated Physical Button for Resets, 'I Reset Whenever I Want'

marsbit5 saat önce

Cardano Network Activity Increased by 33%

Cardano network activity has surged, with transaction counts and developer commits showing significant growth. Since its 2017 launch, the Cardano blockchain has processed approximately 123.02 million transactions. Developer activity is also high, with over 303,000 recorded code commits, indicating ongoing protocol improvements. Data from Chainspect notes a nearly 48% single-day jump in activity, with over 24,000 transactions processed. For comparison, Polkadot leads in developer commits (over 701,000), followed by Ethereum (520,000+), Arbitrum (200,000), and Optimism (182,000). Cardano's Total Value Locked (TVL) increased by 6.05% in 24 hours to $58.01 million, while weekly trading volume on its DEXs rose 22.42% to $9.15 million. Concurrently, ADA's price increased by 13% to $0.2139, with its market cap reaching $7.8 billion and daily trading volume up 52% to $857.6 million. Developers have announced the roadmap for the Dijkstra upgrade, planned in two phases: first deploying Ouroboros Linear Leios (CIP-164) to increase network throughput, followed by Ouroboros Peras (CIP-140) to accelerate transaction processing.

cryptonews.ru08/21 12:09

Cardano Network Activity Increased by 33%

cryptonews.ru08/21 12:09

Cardano Foundation Drafts Dijkstra Upgrade For Smart Contract Execution

The Cardano Foundation has released a draft Cardano Improvement Proposal (CIP) called "Dijkstra," which proposes changes to enhance smart contract execution pathways and computational efficiency on the network. The proposal is currently in the discussion phase and is not active on the Cardano mainnet; it must progress through community review and refinement before potential implementation. Dijkstra addresses a core long-term challenge for Cardano: improving developer experience and smart contract performance without compromising its methodical, research-driven design philosophy. Enhanced execution efficiency could reduce computational friction, enabling developers to build more scalable and complex decentralized applications (dApps). This is seen as crucial for Cardano's competitiveness in a crowded smart contract market that includes rivals like Ethereum, Solana, and Avalanche. The publication of the CIP draft marks the start of a community evaluation process. Developers will assess its technical merits, potential trade-offs, and alignment with Cardano's broader roadmap. While the outcome is not guaranteed, the proposal signals ongoing work to strengthen Cardano's application layer for the future. The article emphasizes that the technical development story holds more significance than short-term market price movements.

bitcoinist08/21 06:44

Cardano Foundation Drafts Dijkstra Upgrade For Smart Contract Execution

bitcoinist08/21 06:44

Anthropic Asked for It and Got It, Mythos 2 Reportedly Shelved, Mythos 3 Secretly in Development

In a revealing podcast, analysts Dylan Patel and Jordan Nanos disclosed that Anthropic has reportedly completed training its Mythos 2 AI model but is withholding its public release due to regulatory concerns. According to the report, Mythos 2 possesses capabilities—potentially including sophisticated coding, logical reasoning, and cyber offense/defense abilities—deemed too powerful and risky for public access. Consequently, Anthropic is said to be using a heavily restricted, downgraded version called Fable for public use. The situation is described as a self-inflicted setback for Anthropic, whose leaders previously advocated for stringent AI safety regulations, only to find their own advanced models now facing restrictions. With Mythos 2 effectively shelved, the company faces a critical challenge: the potential disruption of the vital feedback loop typically gained from widespread user interaction, which fuels model improvement. Despite this, Anthropic is reportedly redirecting its efforts internally. It is allegedly using Mythos 2 to generate synthetic data and code to accelerate the secretive development of its next-generation model, Mythos 3. This shift indicates a move towards a closed, recursive development cycle where AI models train and evaluate each other, potentially reducing reliance on human feedback over time. The report draws parallels to OpenAI, suggesting it may also be withholding its most advanced model, referred to as Astra, due to similar safety and controllability concerns. Speculation arises that Anthropic’s strategy might be a deliberate move to monopolize its most powerful AI for internal, high-stakes applications (e.g., biotech, automated coding) while avoiding the risks and responsibilities of a public release. Sources cited include posts from SemiAnalysis and related discussions on social media, painting a picture of a hidden AI arms race where the most capable models are being developed behind closed doors, away from public access and scrutiny.

marsbit08/18 08:06

Anthropic Asked for It and Got It, Mythos 2 Reportedly Shelved, Mythos 3 Secretly in Development

marsbit08/18 08:06

Ethereum devs to narrow 66 proposals tied to Hegotá upgrade

Ethereum developers are reviewing 66 proposals to define the scope of the next major network upgrade, Hegotá, with a focus on enhancing protocol-level privacy. Currently, only the FOCIL (Fork-choice enforced inclusion lists) EIP is confirmed for inclusion. Additional proposals like Frame Transactions (EIP-8141), Keyed Nonces (EIP-8250), and Recent Roots for Frame Transactions (EIP-8272) are also targeted for Hegotá to enable native privacy features for applications. FOCIL aims to improve censorship resistance, while the privacy-focused EIPs would provide foundational tools for private transactions. Developers aim to release Hegotá next year, with upcoming core developer calls being crucial for shaping Ethereum's 2027 roadmap. Proposals not selected may be considered for future upgrades. Prior to Hegotá, the network will first deploy the Glamsterdam upgrade in the second half of 2026, which is designed to improve scalability, security, and usability.

cointelegraph08/16 11:20

Ethereum devs to narrow 66 proposals tied to Hegotá upgrade

cointelegraph08/16 11:20

Just Now, DeepSeek Harness Shocks the Open Source World: Everything as a Plugin

DeepSeek Harness, an open-source AI agent framework, has been released. Built on a "everything is a plugin" architecture using Cordis, it provides a modular SDK for constructing, running, and extending agents. The framework separates capabilities—like file systems, shells, web access, and sub-agents—into independent, swappable packages, assembled via a configuration file (`cordis.yml`). This allows creation of diverse agent types, from web UIs to headless automation. Key features include a structured Agent Loop for managing model requests and tool execution with concurrency and safety controls, and an authoritative Session Log that records all events to ensure state can be perfectly reconstructed. It offers multiple interaction modes (Web UI, TUI, Headless) and four preset agent configurations (Standard, PTC, Minimalist, Creative), with the Creative mode allowing agents limited self-modification. Security is built-in with a default `workspace-write` sandbox and an "ask for approval" policy for privileged operations. The framework demonstrates DeepSeek's aim to provide not just another coding assistant, but a foundational, auditable, and extensible system for deploying AI agents into real-world environments, complementing their model ecosystem with robust engineering infrastructure.

marsbit08/13 23:56

Just Now, DeepSeek Harness Shocks the Open Source World: Everything as a Plugin

marsbit08/13 23:56

OpenClaw Founder Peter Steinberg's Latest Speech: The Life and Death Revelation of an Open Source Project, How OpenClaw Emerged from the Eye of the Storm

Peter Steinberg, founder of the wildly popular open-source AI agent project OpenClaw, reflects on its turbulent journey from creation to near-collapse and resurgence. It began in late 2024 from his personal frustration with sending prompts from phone to computer. He built a WhatsApp relay that felt "magical," but initial excitement was limited to friends. After adding Discord support and launching a public server, the project exploded virally overnight, attracting massive attention, rebranding requests (from "Claudis" to OpenClaw), and even praise from NVIDIA's CEO. The intense scrutiny and pressure nearly broke Steinberg. The biggest technical crisis came from over-optimizing for a specific AI model provider, which suddenly canceled subscriptions, forcing a rushed shift to open-weight models. OpenClaw's weekly downloads plummeted before surging to a record high after being "declared dead." Steinberg realized he had stopped enjoying the build process and using his own product, making it a duty rather than a passion. His key lesson: "Fun is speed." Recovery came by refocusing on building for himself, forming a non-profit, and receiving crucial support (e.g., from NVIDIA for security). The team is now using OpenClaw to build OpenClaw itself, emphasizing its core value: a private, open alternative where "your agent, your machine, your life." He shares insights: the first user should be yourself; balance bug fixes with new features to maintain interest; the current bottleneck is reliable toolchains, especially for Mac testing. His story underscores that creation thrives on personal need, endures through storms when the joy of building returns, and persists by "living in the future and building what's missing."

marsbit08/12 09:07

OpenClaw Founder Peter Steinberg's Latest Speech: The Life and Death Revelation of an Open Source Project, How OpenClaw Emerged from the Eye of the Storm

marsbit08/12 09:07

OpenAI Executive: Tools Like Codex, Only Two Months Left to Shine

In a candid statement, OpenAI's product and platform lead, Thibault Sottiaux, predicts that tools like Codex will become "primitive" within 2-3 months. He highlights that the current paradigm of running AI agents (Harness frameworks) locally on laptops is hitting fundamental limits as next-generation models demand more from their environments. The core limitations are threefold: 1) Local hardware constraints on compute and memory when agents handle concurrent subtasks; 2) The impracticality of requiring machines to stay online for long-duration tasks; and 3) The inability of lightweight local setups to manage the massive parallel context and toolchains of advanced models. The solution, Sottiaux suggests, is a shift towards "cloud-native infrastructure." The future lies in "light local command, heavy cloud execution," where developers use their devices as control panels. Complex tasks like code refactoring, testing, and automation will be offloaded to dynamic, parallel cloud clusters (e.g., isolated sandbox containers), with results streamed back. This evolution is already underway, with examples like Anthropic orchestrating 16 Claude instances across 2000 cloud sessions to build a C compiler. The competition will thus move from raw model capability to which platform can most effectively unlock a model's full potential through sophisticated, system-level Harness engineering.

marsbit08/09 03:20

OpenAI Executive: Tools Like Codex, Only Two Months Left to Shine

marsbit08/09 03:20

Eliza Token Shut Down as Founder Winds Down Foundation Following Legal Settlement

The Eliza token and its foundation are being permanently shut down by founder Shaw Walters following a legal settlement. The foundation settled a lawsuit filed by Burwick Law, which alleged false advertising and deceptive practices, by distributing its remaining treasury to token holders. Walters stated the foundation lacked resources to fight the case, though he considered the claims groundless. While the Eliza token is officially "dead" with no future funding or buybacks, the development of the underlying technology, ElizaOS, will continue independently. Walters, who owns the intellectual property, confirmed he holds no tokens and will not launch a new cryptocurrency. ElizaOS is an AI agents platform launched in early 2025.

TheNewsCrypto08/05 12:56

Eliza Token Shut Down as Founder Winds Down Foundation Following Legal Settlement

TheNewsCrypto08/05 12:56

ChangXin's "Peer": The Fate of Fujian Jinhua Integrated Circuit Co., Ltd. Is Regrettable

China's DRAM industry saw a pivotal moment with ChangXin's (CXMT) successful IPO. However, the fate of its 2016 counterpart, Fujian Jinhua Integrated Circuit, offers a stark contrast. Both were founded the same year with similar missions, massive investment, and 12-inch wafer fab goals to break into the DRAM market dominated by Samsung, SK Hynix, and Micron. Fujian Jinhua initially progressed faster by partnering with Taiwan's United Microelectronics Corporation (UMC) for 32nm DRAM technology. This strategy, however, led to a protracted legal battle. In 2017, Micron sued UMC and Jinhua for trade secret theft. The situation escalated in October 2018 when the U.S. Commerce Department added Fujian Jinhua to its Entity List, citing its imminent mass production as a threat. This resulted in an immediate halt of equipment, software, and technical support from American suppliers, followed by UMC suspending cooperation. Although Jinhua was eventually cleared of criminal charges in late 2023 after a nearly six-year legal saga, it missed the critical industry growth window. In contrast, ChangXin took a different path from the start, focusing on building its own R&D system and securing intellectual property, notably through a license for former Qimonda patents. While also facing U.S. scrutiny and initial heavy losses, ChangXin benefited from a more mature domestic supply chain when it reached mass production. It achieved profitability in 2025 and represents the rise of China's DRAM industry. Jinhua's story is a crucial lesson. It was the first Chinese DRAM company to confront the complex realities of international IP disputes, export controls, and supply chain vulnerabilities. Today, it has resumed operations with a 40,000 wafers-per-month capacity, aiming for 60,000. While it missed its initial opportunity, its experience informed the strategic evolution of later Chinese semiconductor firms.

marsbit08/05 12:31

ChangXin's "Peer": The Fate of Fujian Jinhua Integrated Circuit Co., Ltd. Is Regrettable

marsbit08/05 12:31

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