Curative cuts doctor credentialing 99.6% as US power grid fails

Curative Automates Doctor Credentialing Healthcare company Curative automated its doctor credentialing process using a Claude-based AI agent, reducing turnaround time from three months to 12 hours. This cut the cost per doctor from $50 to $0.20 and increased provider contract execution from 100 per week to 100 per day, according to founder Fred Turner on 20VC. This demonstrates AI's immediate, extreme efficiency gains in complex administrative tasks, fundamentally changing operational baselines for healthcare providers. Practitioners should identify similar high-volume, bottleneck processes ripe for 99%+ cost reduction. > Watch: Curative's expansion into other healthcare admin tasks

AlphaFold Drives Anti-Aging Enzyme Discovery An engineered enzyme, developed by Calico and Revel Pharma with DeepMind's AlphaFold, eliminated 55% of an aging-related molecule in skin samples from donors over 70. This reversed the skin's biological age to that of a 31-year-old, as noted by David Friedberg on All-In Podcast. This illustrates AI's power in accelerating fundamental scientific breakthroughs, particularly in drug discovery and biotechnology, where complex molecular interactions are key. Practitioners in life sciences should invest in AI-driven R&D platforms to unlock previously intractable problems. > Watch: AlphaFold's next major biotech application

Stripe, Block, Advent Bid for PayPal Stripe, Block, and private equity fund Advent have jointly offered to acquire PayPal for approximately $60 per share, with Block contributing $17 billion in equity. This deal targets PayPal after its market cap fell from a peak of $322 billion, Jason Calacanis reported on All-In Podcast. This signals a re-evaluation of established fintech players, where legacy valuations are being aggressively repriced by newer, more agile competitors and private capital. Practitioners should expect more consolidation and strategic acquisitions in mature tech sectors. > Watch: PayPal board's response and competing bids

PJM Power Auction Reveals Severe Shortage A recent power auction by PJM, a utility serving 13 states, received bids for only 156 megawatts despite seeking 7 to 8 gigawatts, highlighting a severe energy shortage. Chamath Palihapitiya on All-In Podcast claims this shortage is stopping 40% of planned data center projects and projects a massive U.S. energy deficit by 2050. This reveals a critical and immediate physical bottleneck for AI's expansion, as data centers are energy-intensive. Practitioners must factor in escalating energy costs and potential moratoriums when planning any large-scale AI infrastructure. > Watch: PJM's next capacity auction results

Chinese AI Model KIMI K3 Surpasses GPT-5.6 SOL The Chinese AI model KIMI K3 now ranks as the number two overall model on the Vals AI Index, reportedly surpassing GPT-5.6 SOL with a one million token context window. Jeff Wang on The AI Daily Brief claims this shows Chinese open-source AI is no longer six months behind Western models, though its cost parity is diminishing. This confirms the rapid acceleration of Chinese AI capabilities, intensifying the global AI race and suggesting a more competitive landscape for foundational models. Practitioners should monitor the geopolitical implications of this parity and the potential for divergent AI ecosystems. > Watch: KIMI K3's enterprise adoption rate

Anthropic Funds Anti-Data Center Lobbying Anthropic is reportedly funding groups like Public First that are actively lobbying against new data center construction as part of a state-by-state strategy to encourage tougher AI guardrails. David Sacks on All-In Podcast claims Anthropic CEO Dario Amodei made a seven-figure contribution to one such group, aiming to slow AI development. This indicates a strategic move by a frontier AI player to actively shape the regulatory environment and potentially slow competitors by constraining physical infrastructure. Practitioners should anticipate more internal friction and political maneuvering within the AI industry. > Watch: State-level data center permit approvals

US Faces Near-Term AI Supply Chain Shortages The United States is facing near-term shortages of power, compute, chips, and memory that could impede further AI development. Tim Stanovec on Bloomberg Businessweek points to critical bottlenecks across the AI supply chain. This reinforces the looming physical constraints on AI's growth, moving beyond just energy to core hardware components. Practitioners must prioritize supply chain resilience and consider diversified hardware strategies to mitigate these risks. > Watch: Lead times for advanced AI chips and GPUs