Independent AI news, with every claim linked to its primary source
Independent AI news, with every claim linked to its primary source
Two different skills go by that name and employers pay for both. One has free courses you can finish in a few months. The other has almost no curriculum, and a randomised trial says people badly overrate how good they already are at it.
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arXiv’s cs.AI listing carried 4,730 entries in July 2026 against 514 in July 2020. Here is the small stack of sources that survives that volume, and what the Reuters Institute measured about using AI itself to get the news.
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Three coding agents finish within 3.4 points on the same benchmark, entry pricing has converged on $10 to $20 a month, and the best controlled study still cannot separate the effect from zero.
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Nobody has ever failed to build an agent because the loop was hard. They fail on the retries, budgets and logging a demo never needed.
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A stated window is a capacity figure, not a usable-attention figure. The middle of a long input is measurably a worse place to be.
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The API bill is visible on an invoice. The self-hosting bill is spread across salaries, on-call rotas and slipped projects.
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A second datastore is a second thing to back up, monitor, secure and be woken by. That cost is invisible in a benchmark.
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Serving one person and serving two hundred are different engineering problems. The tool that wins at one loses badly at the other.
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Does not know something means retrieval. Does not behave right means fine-tuning. Was not told properly means prompting, and that is most cases.
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The frontier model wins the comparison. The cheap model wins the invoice. Which matters depends entirely on your volume.
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Strawberry might be two tokens. The model is being asked to count letters inside symbols it cannot see inside.
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The model never touches your repository. It names a tool and supplies arguments, and your code decides whether to run it.
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