Japan PM Dumps ‘Sanae Token?’ Solana Memecoin Tanks 75%

Trading Moment: BTC Above $70K with CME Gap, Trump's Ultimatum Less Than 24 Hours Away

"Trading Moment: BTC Holds Above $70K with CME Gap, Trump's Ultimatum Under 24 Hours" Amid escalating U.S.-Iran tensions, Trump issued a 48-hour ultimatum demanding Iran open the Strait of Hormuz, with a deadline at 7:44 AM Beijing time Tuesday. Oil prices face extreme volatility as the strait's oil flow plummeted 97%, potentially surpassing 2008 highs. Asian stocks plunged, with Japan's Nikkei dropping over 5%. Bitcoin retreated near $67K, erasing recent gains, while a CME futures gap around $70,100 remains. Mining costs now exceed $88K per BTC, creating significant miner losses. Analysts warn of potential drops to $50K if key supports break, citing Bitcoin's correlation with S&P 500 as concerning. Bulls argue geopolitical panic often creates historic bottoms, anticipating short squeezes toward $72K-77K. Market data shows extreme fear (index 11) with $252M liquidations. Bitcoin ETFs saw $95M inflows while Ethereum ETFs faced outflows. Notable events include Resolv protocol's $500K exploit and SIREN's 161% pump amid allegations of 88.5% supply manipulation. Key upcoming events include Backpack's TGE, Polymarket's announcement, and major token unlocks totaling millions in value.

marsbitHá 9m

AI Agent Outputs Garbage? The Problem Is You're Not Willing to Burn Enough Tokens

The core argument is that the quality of an AI Agent's output is directly proportional to the number of tokens invested in the process. More tokens lead to fewer errors, as they allow for deeper reasoning, multiple independent attempts, self-critique from fresh contexts, and verification through testing. This approach can solve problems of scale and complexity but fails when facing novel problems not present in the model's training data. For such novel challenges, human domain knowledge and guidance are essential. Two practical, immediate solutions are proposed: implementing an automatic review cycle (WAIT) for the Agent to repeatedly critique and fix its work, and establishing frequent verification checkpoints (VERIFY) where a separate Agent validates outputs to catch errors early. The key takeaway is that insufficient token investment is often the primary reason for poor Agent performance, not the underlying framework.

marsbitHá 31m

ShapeShift founder denies $260mln whale accumulation – Here’s what we know!

ambcryptoHá 43m

Hawk Tuah Influencer Says Memecoin Collapse Left Her Traumatized, But Critics Push Back

Hawk Tuah influencer Hailey Welsh says the collapse of the HAWK memecoin in December 2024 left her traumatized. The token surged to a $490 million market cap before crashing over 90% the next day. Welsh claims she was only a promoter, received no profits, and faced death threats after the incident. She was cleared by an FBI investigation and excluded from an investor lawsuit targeting the token’s creators. Despite warnings from the crypto community, she launched the token without fully understanding the risks. Welsh now advises others to avoid crypto entirely. Estimated losses from the failed launch are around $200,000.

bitcoinistHá 44m

Thousands of people around the world are selling their identities to train AI, but at what cost?

A global investigation reveals a growing gray market where thousands of people worldwide are selling their biometric data—voices, faces, call logs, and daily videos—to train AI models for small payments. Examples include individuals in South Africa, India, and the U.S. earning modest sums through apps like Kled AI, Silencio, and Neon Mobile. While this provides crucial income, especially in economically strained regions, it raises serious concerns about privacy, exploitation, and long-term risks. Contributors often grant broad, irreversible rights to their data, potentially exposing them to deepfakes, identity theft, and unauthorized commercial use. Experts warn that this practice is unstable, offers no career progression, and primarily benefits tech companies in wealthier nations, leaving workers vulnerable with little recourse. Cases like an actor discovering his AI likeness promoting medical products without consent highlight the ethical and personal consequences of this emerging data-for-cash economy.

marsbitHá 49m