According to @CNBC, enterprises are boosting cybersecurity budgets as AI agents demonstrate alarming hacking abilities, accelerating demand for defenses.

According to emollick, LLMs recombine math ideas across subfields, countering knowledge overload that slows science, as reported in prior research.

According to emollick, 95% of Kaggle seeds use 42, yet solution strategies still vary widely due to human prompting, as reported by Twitter.

According to @CNBC, investors now reward Big Tech’s AI capex as revenues and margins materialize across cloud and AI services, boosting shares.

According to @emollick, LLMs advance in formal domains also lift performance in less-verifiable fields, easing concerns over non-checkable answers.

According to @CNBC, Sam Altman will brief Trump officials and Senators on AI safety, China competition, and open-weight models, per CNBC reporting.

According to @openclaw, it signed Microsoft’s Open Weights and American AI Leadership letter advocating user choice and open model weights.

According to @emollick, experts misread AI product strategy like past solar forecasts, missing exponential growth and rapid capability shifts.

According to @CNBC, SambaNova reached an $11B valuation as funding accelerates for Nvidia chip challengers, signaling demand for alternative AI compute.

According to @emollick, MTurk is fading as LLM use contaminates human survey panels, forcing researchers to adopt AI-detection, audits, and new platforms.

According to @CNBC, Databricks’ revenue run rate hit $6.9B with 80% growth, while AI agent workloads increased compute costs and pressured margins.

According to @CNBC, Zhipu jumped 33% as investors rotated to China AI after Anthropic access curbs, signaling capital shift to mainland model vendors.

According to SawyerMerritt, Oppenheimer starts SpaceX coverage at Outperform with a $190 target, citing vertically integrated AI and compute scale advantages.

According to FoxNewsAI, a filmmaker says his AI girlfriend ended their relationship, raising concerns over AI companion design and user safety policies.

According to @KyeGomezB, the LIFE progression outlines 4 stages to build closed-loop multi-agent LLM systems that detect failures and self-improve.

According to AndrewYNg, a new Deeplearning.ai course with AMD teaches LLM internals, attention, RAG, and GPU inference optimization for faster deployment.

According to DeepLearningAI, Andrew Ng teaches why models over-agree and how better prompts yield accurate, useful answers in a new course.

According to Ethan Mollick, a widely cited AI inequality study used 2022 data, not GenAI-era usage, limiting conclusions for current LLM adoption.

According to Ethan Mollick on X, citing a new working paper by Hyunjin Kim and coauthors, a randomized field experiment on 515 startups found that firms shown concrete AI case studies adopted AI 44% more, generated 1.9x higher revenue, and required 39% less capital compared to controls, indicating that practical know‑how overcomes the “mapping problem” in finding where AI creates value (as reported by Hyunjin Kim on X). According to the authors’ thread, the intervention centered on operational case studies that helped founders identify use cases across production processes, translating task-level AI gains into firm-level performance. As reported by Ethan Mollick, the results highlight immediate business opportunities: codifying playbooks for sales enablement, marketing content, customer support automation, and internal analytics can accelerate adoption and ROI for startups and SMBs. According to Hyunjin Kim’s summary, the key managerial implication is to invest in capability mapping, training, and workflow redesign to systematically match AI tools to bottlenecks, which lowers capital intensity and speeds revenue capture.

According to @godofprompt on Twitter, leveraging Robert Greene's 3,000 years of psychological insights—condensed into timeless rules of power—through custom AI prompts can significantly enhance individual productivity, resistance to manipulation, and personal influence. By transforming Greene's principles into seven tailored prompts for large language models (LLMs), professionals can directly apply actionable strategies for sharper decision-making and improved negotiation skills. This approach illustrates a concrete business opportunity for AI tool developers and consultants to create specialized prompt libraries or automated coaching solutions, catering to leadership training, executive development, and personal branding. Source: twitter.com/godofprompt/status/1993275220342481039