# Пов'язані статті щодо Development

Центр новин HTX надає останні статті та поглиблений аналіз на тему "Development", що охоплює ринкові тренди, оновлення проєктів, технологічні розробки та регуляторну політику в криптоіндустрії.

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 год тому

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

marsbit5 год тому

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

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

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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