AI News Today

Article URL: https://www.thefp.com/p/artificial-intelligence-not-human Comments URL: https://news.ycombinator.com/item?id=48901827 Points: 2 # Comments: 1

Article URL: https://blazordata.net/ViewBlogPost/10 Comments URL: https://news.ycombinator.com/item?id=48901604 Points: 2 # Comments: 1

Article URL: https://www.cbsnews.com/news/georgia-power-ai-data-centers-eminent-domain/ Comments URL: https://news.ycombinator.com/item?id=48901420 Points: 15 # Comments: 2

Article URL: https://careersatdoordash.com/blog/building-food-metadata-with-llm-juries-context-optimization-multimodal-ai/ Comments URL: https://news.ycombinator.com/item?id=48901275 Points: 2 # Comments: 0

Article URL: https://www.nationalmemo.com/ai-bubble-2677214150 Comments URL: https://news.ycombinator.com/item?id=48901267 Points: 9 # Comments: 1

Article URL: https://www.sfu.ca/fas/computing/news-events/news/2026/january/sfu-launches-legal-ai-collaboration-with-caseway-to-improve-acce.html Comments URL: https://news.ycombinator.com/item?id=48900818 Points: 1 # Comments: 1

Article URL: https://www.rstreet.org/commentary/scams-were-already-awful-then-they-got-ai/ Comments URL: https://news.ycombinator.com/item?id=48900681 Points: 2 # Comments: 0

Article URL: https://www.ringd.dev/ Comments URL: https://news.ycombinator.com/item?id=48900608 Points: 2 # Comments: 1

See how data science teams can use ChatGPT Work to build root-cause briefs, impact readouts, KPI memos, scoped analyses, and dashboard specs from real work inputs.

See how sales teams can use ChatGPT Work to create pipeline briefs, meeting prep packets, forecast reviews, account plans, and stalled-deal diagnoses from real work inputs.

Article URL: https://heybraza.com Comments URL: https://news.ycombinator.com/item?id=48900478 Points: 2 # Comments: 0

Article URL: https://developers.redhat.com/articles/2026/07/07/dependency-analytics-10-ai-coding-supply-chain-security Comments URL: https://news.ycombinator.com/item?id=48900324 Points: 2 # Comments: 0

Hi all, author here. SX started as a CLI to let developers share skills across AI clients without having to rely on git for storage. This allowed sharing at the Repo/Team/Org and Personal level. However, the more we spoke to users the more we realized that non-technical users were actually using skills more and more but they had no way to share. And there was no way you were going to get your legal team to install and learn git. SX 2.0 is targeting non-technical teams by adding a native Mac, Win

Hi HN, I'm Kevin. I built ContextVault because I kept running into the same problem with AI tools. Every project accumulated prompts, coding conventions, architectural decisions, examples, and other pieces of context that made the models significantly more useful. The problem was that this information quickly became fragmented. Some lived in ChatGPT Projects, some in Claude, some in Markdown files, some in internal documentation, and some only existed in previous conversations. Late last year, I

Article URL: https://minor.gripe/posts/2026-07-13-the_ai_whalefall_and_open_source/ Comments URL: https://news.ycombinator.com/item?id=48900231 Points: 4 # Comments: 1

Article URL: https://cdbx.ai/ Comments URL: https://news.ycombinator.com/item?id=48900140 Points: 5 # Comments: 2

Article URL: https://auremcto.com/ Comments URL: https://news.ycombinator.com/item?id=48899930 Points: 2 # Comments: 0

Article URL: https://app.forgein.ai Comments URL: https://news.ycombinator.com/item?id=48899834 Points: 2 # Comments: 0

<p><strong><a href="https://github.com/petergpt/doomql">DOOMQL</a></strong></p> Peter Gostev built this using GPT-5.6 Sol. This is a <em>lot</em> of fun: </p> <blockquote> <p>DOOMQL started with a deliberately unreasonable question: what if SQLite were the game engine, not merely the place where a game stores data?</p> <p>The result is a small, original Doom-like game in which SQL owns movement, collision, enemies, combat, progression and every RGB pixel on screen.</p> </blockquote> <p>It's impl

Article URL: https://github.com/adnqcr7-code/kairosv2 Comments URL: https://news.ycombinator.com/item?id=48899535 Points: 2 # Comments: 0

Article URL: https://sackfield.substack.com/p/how-does-an-llm-feel-about-you Comments URL: https://news.ycombinator.com/item?id=48899499 Points: 2 # Comments: 0

Article URL: https://qz.com/economists-ai-job-displacement-industrial-revolution-statement-071326 Comments URL: https://news.ycombinator.com/item?id=48899483 Points: 8 # Comments: 4

Article URL: https://arxiv.org/abs/2603.27130 Comments URL: https://news.ycombinator.com/item?id=48899456 Points: 2 # Comments: 0

Article URL: https://getcompound.ai/blog/introducing-frankie Comments URL: https://news.ycombinator.com/item?id=48899388 Points: 2 # Comments: 0

Article URL: https://www.nijho.lt/post/mindroom/ Comments URL: https://news.ycombinator.com/item?id=48899360 Points: 2 # Comments: 0

<p><strong><a href="https://github.com/simonw/datasette/graphs/code-frequency">datasette code-frequency chart on GitHub</a></strong></p> Out of curiosity I decided to see if I could find a useful illustration of the impact of coding agents and Opus 4.5 class models on my own output. The best I've found so far is this GitHub chart of frequency of code changes to my <a href="https://datasette.io/">Datasette</a> open source project:</p> <p><img alt="Screenshot of a GitHub "Code frequency" bar chart

Article URL: https://braddelong.substack.com/p/semi-crosspost-kelsey-piper-yes-you Comments URL: https://news.ycombinator.com/item?id=48899301 Points: 3 # Comments: 0

Article URL: https://verial.xyz/systems/standards-that-are-code Comments URL: https://news.ycombinator.com/item?id=48898659 Points: 1 # Comments: 0

Article URL: https://www.gladlabs.io Comments URL: https://news.ycombinator.com/item?id=48898284 Points: 1 # Comments: 0

Article URL: https://medium.com/@dhanushg295/my-local-35b-avoids-every-trap-tool-1d2d2f1850cc Comments URL: https://news.ycombinator.com/item?id=48898224 Points: 2 # Comments: 0

Article URL: https://robert-mcdermott.github.io/phlox-gw/ Comments URL: https://news.ycombinator.com/item?id=48898189 Points: 2 # Comments: 0

Article URL: https://bytecode.news/posts/2026/07/user-submission-ai-is-a-bad-tool Comments URL: https://news.ycombinator.com/item?id=48897861 Points: 5 # Comments: 0

Article URL: https://medium.com/databrickscommunity/my-favorite-announcements-from-the-data-ai-summit-2026-317fc68d4e75 Comments URL: https://news.ycombinator.com/item?id=48897518 Points: 1 # Comments: 0

Article URL: https://medium.com/databrickscommunity/databricks-news-cli-v-1-0-0-ai-tools-last-updated-25th-may-767ef39abe8a Comments URL: https://news.ycombinator.com/item?id=48897489 Points: 1 # Comments: 0

Article URL: https://medium.com/@alanscottencinas/the-token-tax-when-bad-ai-architecture-becomes-debt-81c29158ae0b Comments URL: https://news.ycombinator.com/item?id=48897422 Points: 2 # Comments: 0

Article URL: https://uk.pcmag.com/ai/166133/amid-ip-theft-concerns-microsoft-ceo-floats-new-ai-patent-concept Comments URL: https://news.ycombinator.com/item?id=48897378 Points: 1 # Comments: 0

Article URL: https://bosoncutter.substack.com/p/what-would-it-take-for-ai-to-discover Comments URL: https://news.ycombinator.com/item?id=48897332 Points: 1 # Comments: 0

Article URL: https://github.com/jamesberge-coder/equivalency-kernel Comments URL: https://news.ycombinator.com/item?id=48897255 Points: 1 # Comments: 0

Article URL: https://twitter.com/SergioPaniego/status/2073066275819991472 Comments URL: https://news.ycombinator.com/item?id=48897061 Points: 1 # Comments: 0

Article URL: https://apnews.com/article/ai-must-act-now-job-displacement-783469467e0df1463df44518f33295ee Comments URL: https://news.ycombinator.com/item?id=48896842 Points: 8 # Comments: 4