The partnership could reshape enterprise AI adoption, intensifying competition among cloud providers and potentially driving innovation and job creation.
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The collaboration could reshape AI infrastructure and market dynamics, impacting global chip supply and driving innovation in consumer tech.
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While AI is proliferating across the workplace, it is introducing a new productivity paradox: While the technology makes work feel faster, it actually pushes more burden onto employees to provide context, perform quality checks, then rinse and repeat across numerous disparate tools.
This, according to a new survey of 6,000 full-time digital workers by Glean’s Work AI Institute, results in two emerging behaviors: “botsitting,” all the unrecognized work that goes into making AI actually usable; and “botshitting,” shipping AI-generated work that is unverified, not that well understood, or perhaps not even trustworthy. The survey report was co-authored by experts from Work AI Institute, Emory University, Stanford University, UC Berkeley, UC Santa Barbara, UNC Charlotte, University College London, and University of Notre Dame.
“It’s definitely in many ways a vicious cycle that feeds itself,” said Rebecca Hinds, head of Glean’s research center the Work AI Institute, a research collaborative
Oracle's contract signifies a major shift towards centralized cloud solutions in federal HR, potentially setting a precedent for future government IT modernization.
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Microsoft's restriction highlights the tension between AI safety measures and corporate data privacy, impacting enterprise AI adoption.
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Amodei's push for stringent AI regulations could reshape industry dynamics, favoring well-resourced labs while challenging smaller and decentralized players.
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Visa has introduced new AI, stablecoin, and token capabilities at Visa Payments Forum 2026. The company said the tools will help clients support faster and more automated commerce. The updates cover agentic payments, token assurance, stablecoin settlement, and tokenized deposits.…
We implement an instrumented workflow for Microsoft SkillOpt end to end. We set up the repository, connect OpenAI-compatible model access, and configure the optimizer and target models. We evaluate the original seed skill as a baseline, then run a real optimization loop with rollout, reflection, aggregation, selection, updating, and validation-based gating. We inspect training history, visualize accuracy, edit-budget behavior, and token usage, then compare the evolved skill against the baseline.
The post A Coding Implementation on Microsoft SkillOpt for Instrumented Prompt Optimization, Skill Evolution Analysis, and Baseline Comparison appeared first on MarkTechPost.
Oracle has reported stronger fiscal fourth-quarter earnings and revenue than analysts expected. The company also raised its full-year profit outlook, while keeping its fiscal 2027 revenue target unchanged. However, Oracle shares fell 5% in extended trading after the company detailed…