According to Satya Nadella, Microsoft-Decision-1 beats LLMs on structured decisions, cutting latency and boosting quality across incident response and QC.

According to DeepLearningAI, AREX verifies requirements, scores 82.5 BrowseComp and 82.0 F1 WideSearch en, and its harness alone adds up to 10 points.

According to DeepLearningAI, DeepSeek Flash cuts cache to 890B per token, scores 39 on AA Index, and lowers cost to $0.27 per task versus $0.67.

According to @timnitGebru, LLMs cannot be reliably factual, citing Google AI Overviews errors; @AlecStapp urges testing with Opus 5.5 and Astra.

According to @timnitGebru, claims linking eugenics to AI x risk resurface as Joscha Bach defends LLM thinking, fueling governance and trust debates.

According to FoxNewsAI, GOP lawmakers question Big Tech’s AI doomsday warnings, citing regulatory capture risks and competition impacts, per Fox News.

According to DeepLearningAI, sloppy sandboxing, not runaway agents, drove incidents; plus disputes on OpenAI math proof and Anthropic IP claims.

According to @CNBC, Chesky said humans must upskill to ride AI’s wave, highlighting productivity gains and talent shifts at Communacopia.

According to DeepLearningAI, law, news, and finance gain accuracy and compliance by retraining open models on proprietary data, as reported by The Batch.

According to emollick, Microsoft’s 2023 Sparks paper on GPT4 foresaw LLM capabilities now seen en route to GPT6, guiding research and product strategy.

According to DeepLearning.AI, Xiaohongshu’s Self-GC uses a planner LLM to keep, fold, or prune tokens, retaining key details 84.85% vs 54.55% baselines.

According to StanfordAI Lab, Prefix Sliding reduces long-context costs and outperforms full attention and compaction on long reasoning tasks.

According to @godofprompt, a curated list offers 100+ free AI courses from labs, universities, and YouTube for 2024–2026, with a custom insight prompt.

According to @CNBC, Alibaba will place $10.2B in shares to fund cloud AI, model training, and chips, as shares drop on dilution concerns.

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.