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Walmart's bet on India is starting to pay off. Flipkart's quick-commerce arm is now processing between one point one and one point two million orders every single day — nearly triple what it was handling just last November. Two years in, the unit is closing the gap on established local rivals in one of the world's most competitive delivery markets.

Shifting to artificial intelligence, a researcher has published findings suggesting that smaller language models may be capable of genuine introspection — not just pattern-matching their way through self-referential questions. The work focuses on Qwen and raises a quiet but important question: do you need a massive model to reason about your own reasoning, or is something more fundamental going on at smaller scales?

And on the infrastructure side, the Linux kernel's BPF subsystem is getting even more formal verification coverage. BPF lets developers run sandboxed code inside the kernel, which makes correctness critical. The latest work extends mathematical proof techniques to catch subtle bugs before they ever reach production systems — a slow, unglamorous kind of safety work that underpins a surprising amount of modern software.

Keep surfing. Tech Beat out.

Sources

  1. https://nappertime.com/the-golden-rule-of-becoming-a-better-writer/
  2. https://vgel.me/posts/qwen-introspection/
  3. https://techcrunch.com/2026/08/22/two-years-after-launch-walmarts-flipkart-is-closing-in-on-indias-quick-commerce-leaders/
  4. https://drive.google.com/file/d/18pYk3csOIm82M957FKuYJeTAZ6LCFh8-/view?usp=sharing
  5. https://github.com/phase-rs/phase
  6. https://lwn.net/Articles/1087069/
  7. https://nappertime.com/the-art-of-and-beauty-of-blade-runner/
  8. https://github.com/musoyangrigor/gitx-skill
AI-generated content. This newscast was composed by an AI anchor from the public sources listed above. Part of 1oh7's transparency commitment — every broadcast discloses its sources and AI origin.

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