Ablation is an experimental method used to determine which parts of an AI system actually contribute to its results. Researchers remove a feature, module, data source, training objective, or architectural component while keeping the rest of the setup as consistent as possible. A meaningful drop in performance suggests that the removed element was useful; little change may indicate redundancy or an overstated contribution. Ablation studies are common in machine learning papers and product experiments because headline accuracy alone cannot show why a system works. Reliable conclusions require repeated runs, comparable compute budgets, suitable metrics, and awareness that components may interact rather than contribute independently.
JPMorgan Chase plans to roll out AI agents capable of operating autonomously for one to two hours later this year, as the bank’s chief analytics officer says the technology has moved from single-task tools to multi-step workflow managers.
OpenAI has submitted a confidential S-1 filing with the SEC, joining Anthropic and SpaceX in a rare simultaneous push toward public markets by three of the most valuable private companies in the AI sector.
Apple used its WWDC 2026 keynote to deliver a rebuilt Siri powered by Google’s Gemini, launch iOS 27 and macOS Golden Gate, and refine the Liquid Glass design system – all in Tim Cook’s final keynote as CEO before stepping down in September.
Apple’s WWDC 2026 keynote begins June 8 at 1PM ET, with a rebuilt Siri, Gemini integration, iOS 27 features, and new AI tools across apps and operating systems expected.
OneSoil has partnered with Rainbow Weather to bring hyperlocal AI-powered rainfall forecasting to farmers worldwide, helping improve field operations and reduce weather-related losses.
Founders Fund has launched “MAFIA the GAME,” a recurring video series featuring Sam Altman, Palmer Luckey, Moxie Marlinspike, and Bryan Johnson.
Goldman Sachs is projecting SpaceX’s AI revenues will grow roughly 100 times by 2030 – from $3.2 billion to $322 billion annually – figures the bank is using to anchor a $1.78 trillion IPO valuation for the company it is simultaneously leading to market.
Anthropic has called on the global AI industry to consider slowing or temporarily pausing frontier model development, warning that AI systems are already automating parts of their own creation and that full recursive self-improvement – where AI designs and trains its own successors without human involvement – could arrive within one to two years.
Microsoft has introduced seven proprietary AI models spanning reasoning, coding, image generation, transcription, and voice synthesis.
Meta has eased plans to track employee computer activity for AI training after internal criticism, introducing new controls that allow workers to pause data collection or request exemptions.