Show HN:Ghost – real-time AI that tells you what to say during job interviews
Article URL: https://ghostinterview.dev Comments URL: https://news.ycombinator.com/item?id=48839534 Points: 1 # Comments: 0
Article URL: https://ghostinterview.dev Comments URL: https://news.ycombinator.com/item?id=48839534 Points: 1 # Comments: 0
<p><strong><a href="https://bun.com/blog/bun-in-rust">Rewriting Bun in Rust</a></strong></p> Jarred Sumner has been promising this blog post (<a href="https://x.com/jarredsumner/status/2053063524826620129">since May 9th</a>) about his Zig to Rust rewrite of Bun for significantly longer than it took him to finish the rewrite.</p> <p>Honestly, it was worth the wait. This is a detailed description of an extremely sophisticated piece of agentic engineering, featuring dynamic workflows, trial runs, a
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<p><strong><a href="https://openai.com/index/introducing-gpt-live/">Introducing GPT‑Live</a></strong></p> OpenAI <em>finally</em> upgraded the model used by ChatGPT voice mode!</p> <p>I've had preview access for a few weeks in the iPhone app, and the new model is very impressive. It also has the ability to spin off harder tasks to GPT-5.5:</p> <blockquote> <p>For questions that require web search, deeper reasoning, or more complex work, it delegates to our latest frontier model behind the scenes
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You would expect only people who have a very high opinion of themselves to not feel the need to use AI. Comments URL: https://news.ycombinator.com/item?id=48837332 Points: 5 # Comments: 7
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As someone who doesn't use any of the more "advanced" features on sites like ChatGPT or Claude (agentic mode, memory, image generation, deep research, etc), I found the bloat of these services, both in UX and in performance, to be pretty tedious. There are a million AI chat interfaces out there, but I could never find one that just did simple messaging and history in the most minimal and lightweight way possible. So I made my own. Nully is written in Go and Vanilla HTML/CSS/JS. It literally just
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Article URL: https://danluu.com/ai-coding/#llm-variance Comments URL: https://news.ycombinator.com/item?id=48836951 Points: 11 # Comments: 1
Article URL: https://www.theatlantic.com/international/2026/07/xi-jinping-censorship-ai-training/687696/ Comments URL: https://news.ycombinator.com/item?id=48836825 Points: 4 # Comments: 3
<blockquote cite="https://twitter.com/kentonvarda/status/2074924213983740233"><p>I just declared a moratorium against AI-written change descriptions (e.g. PR and commit messages, also issues/tickets) from my team.</p> <p>AI was writing change descriptions that were worse than useless to me as I tried to review PRs: outlining details of the code that could easily be seen by looking at the code, but omitting the higher-level framing needed to understand broadly what the code is doing.</p></blockqu
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Article URL: https://runtimewire.com/article/startup-spotlight-sourcerer-wants-to-turn-ai-procurement-into-a-supplier-not-saa Comments URL: https://news.ycombinator.com/item?id=48836477 Points: 2 # Comments: 0
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Article URL: https://blog.larah.me/test-slop/ Comments URL: https://news.ycombinator.com/item?id=48836454 Points: 2 # Comments: 0
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Article URL: https://map.currentai.org/ Comments URL: https://news.ycombinator.com/item?id=48835998 Points: 1 # Comments: 0
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1. This technology compounds faster than any other luxury technology in history. Those that have access or can afford more of it gain an advantage that erodes any notion of fair competition. 2. This effect will create FOMO and we will end 2026 with very notable, real, layoffs attributed to AI. Fable is the first model where we face serious budget enablement for developers, the discussion isn't how do we afford $200/month subscriptions across the board, it's "how do we enable devs to spend $1,000
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Article URL: https://nicasa.w3cub.com Comments URL: https://news.ycombinator.com/item?id=48833580 Points: 1 # Comments: 0
Article URL: https://singularityforge.space/2026/07/08/the-answer-may-not-be-false-just-not-yours/ Comments URL: https://news.ycombinator.com/item?id=48833571 Points: 2 # Comments: 0
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Memory as text for LLMs works well enough when the truth can be plainly stated and doesn't change, but I kept running into the same problem with LLM wikis, markdown, vector stores - I just didn't trust them, and I didn't trust my agent to properly state its evidence for a claim, its reason for changing something, or rebuild its semantic connections the same way between sessions from a text corpus. I found myself constantly asking my agents to re-verify what was already in my wikis, so what was r
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Article URL: https://github.com/dylanneve1/talon Comments URL: https://news.ycombinator.com/item?id=48833307 Points: 1 # Comments: 0
Article URL: https://thenewstack.io/multi-model-ai-infrastructure/ Comments URL: https://news.ycombinator.com/item?id=48833234 Points: 1 # Comments: 0