KuCoin Expands Stock Index Perpetual Contracts With New Listings

Recursive Self-Improvement AI Gains Traction, Google Pours Cold Water, While DeepSeek and Others Approach the Fringes

The term "recursive self-improvement" (RSI), where AI improves itself autonomously, is gaining momentum in the AI industry. Startups like Recursive Superintelligence and projects such as Andrej Karpathy's Auto-Research aim to create systems where AI designs, implements, and validates its own research, moving toward superintelligence. While Google CEO Sundar Pichai cautions that such exponential acceleration is not yet a reality, progress is evident. For instance, Anthropic reported its Claude Code writes nearly 100% of the team's code, though it still lacks true self-direction. Analysts frame RSI development in stages: "adequacy" (systems functioning without humans), "parity" (matching human research quality), and "supremacy" (exceeding human-AI collaboration). Reaching parity could trigger rapid, unpredictable advancement due to AI's continuous operation. In China, companies like DeepSeek and Baidu incorporate self-optimization techniques without explicitly branding them as RSI, focusing on algorithmic efficiency and reinforcement learning. However, challenges remain, including "model collapse" from training on AI-generated data and the immense computational and open-collaboration requirements. Ultimately, RSI represents a trend of increasing automation in AI development, potentially reducing human oversight in the creation process itself.

marsbit5 мин. назад

Anthropic Warns Globally, OpenAI Has Crossed the 'Reliability Threshold': AI Self-Acceleration Activated

Anthropic issues a global warning, urging a pause in AI research due to fears of recursive self-improvement where AI accelerates its own development, nearing a "self-building" tipping point. Simultaneously, OpenAI's Yann Dubois provides a key insight: AI's perceived "jump" in usefulness stems from crossing a "reliability threshold." Before this point, AI is an unreliable toy; after (around Dec 2023 for OpenAI), it becomes a dependable tool, triggering self-acceleration. This is evident as AI now assists in its own R&D, boosting researcher productivity. Dubois argues AI development is more "craft" than pure science, relying heavily on intuition. He highlights "the last-mile AI dividend": if current models were frozen, focused development on vertical application harnesses (orchestration systems connecting AI to real-world data and permissions) could deliver AGI-like performance in many domains. The main bottleneck isn't model intelligence, but integration—granting access, connecting data, and embedding into workflows. However, major challenges remain, like enabling continual learning so AI improves with experience rather than plateauing. For startups, the opportunity lies in solving these intricate, real-world integration problems—the hard work of bringing powerful models down to ground level.

marsbit6 мин. назад

FBI Cracks Down On Alleged ISIS Crypto Donors, 3 Americans Arrested

bitcoinist58 мин. назад

Solana Price Below $65 For The First Time Since 2023: Crucial Levels To Watch

The price of Solana (SOL) has dropped below $65, reaching its lowest level since late 2023 as the broader crypto market faces bearish pressure. Analysis of on-chain data, specifically the UTXO Realized Price Distribution, reveals that a key support level around $77 has been lost. Crypto analyst Ali Martinez identifies the next major support zone at approximately $53, with further potential floors near $35 and $24 if selling pressure intensifies. As of the report, SOL is trading around $63.23, reflecting a significant 24-hour decline. The outlook suggests continued downward momentum unless renewed demand emerges in the spot market to initiate a recovery.

bitcoinist2 ч. назад

Bitcoin Reserves Resuscitation, Iran War Falls Into The Background, But What’s Going On With BTC?

Bitcoin's price has fallen to new lows in this bear cycle, dropping below the critical $60,000 level. This decline occurred alongside two key developments: the first sale of BTC from Strategy's Bitcoin Reserve since 2022 and an update from U.S. Treasury Secretary Scott Bessent on the planned Strategic Bitcoin Reserve. Michael Saylor attributed the price pressure not to Strategy's sale but to capital flowing from crypto into AI infrastructure and significant outflows from Bitcoin ETFs since mid-May. Meanwhile, geopolitical tensions from the U.S.-Iran war have receded as a market factor. The U.S. government continues its deliberate efforts to establish a national Bitcoin reserve, utilizing seized assets and exploring budget-neutral accumulation methods, with lawmakers working to codify the initiative into law.

bitcoinist3 ч. назад