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The domain name is evaluated as over $10k by Gemini, so I don't want to blow it. And I never done that. Comments URL: https://news.ycombinator.com/item?id=49409177 Points: 2 # Comments: 0

Article URL: https://github.com/majesticlabs-dev/writing-eval Comments URL: https://news.ycombinator.com/item?id=49409152 Points: 1 # Comments: 0

Sometimes I start several coding agents at the same time, each working on a different task. I just let them go and don’t watch them closely. The problem is that I may change my mind later but forget that one of the agents is still working toward the old goal. A couple of hours later, it submit a patch with all tests passing and reports that the job is done. But when I check the result, I find that it has finished implementing a plan I had already abandoned. Has anyone else who uses multiple codi

A while back I posted about a project I was working on for a real-time voice agent that runs ads on Meta to build conviction and prioritize side gig/business ideas ( https://news.ycombinator.com/item?id=48900788 ); you yammer away and it automates market research, problem statements and hypotheses. I've been working with some folks from HN on the app since then. What we've been focused on building is a modern solo-founder GTM tool -- figuring out how to triangulate aspiration, problems only you

Article URL: https://ericpardee.github.io/fire-hd-ownership/ Comments URL: https://news.ycombinator.com/item?id=49409073 Points: 3 # Comments: 0

<p>Fears of a datacenter buildout debt crisis are exaggerated. The risks are different than in the past and they are recoverable</p><p>Some experts are warning of a looming “debt bomb” crisis because big <a href="https://www.theguardian.com/us-news/datacenters--us-">datacenter</a> builders such as <a href="https://investor.atmeta.com/investor-news/press-release-details/2025/Meta-Announces-Joint-Venture-with-Funds-Managed-by-Blue-Owl-Capital-to-Develop-Hyperion-Data-Center/default.aspx">Meta</a>,

Article URL: https://www.froging.ai Comments URL: https://news.ycombinator.com/item?id=49408724 Points: 1 # Comments: 0

One of the reasons AI is so "good" at software development is that it is trained on a snapshot of a large corpus of already solved software problems. In the future, wouldn't that make anyone who produces original code become more cautious of sharing it, being aware that it will just be fed into the "hive mind" and they'll never get any attribution or financial gain out of it? Or has the value of code, tools and software become so cheap it doesn't really matter anymore? Comments URL: https://news

A message across generations. ScienceAlert stories are written, fact-checked, and edited by humans, never generated by AI. Don't miss a story, subscribe here.

Article URL: https://github.com/ptmrio/harness-subagent Comments URL: https://news.ycombinator.com/item?id=49408449 Points: 3 # Comments: 0

While a digital twin does not necessarily replace a systems integrator, it can help manufacturers evaluate robots and plan applications, says RoboDK. The post Use a digital twin to explore automation before committing capital appeared first on The Robot Report .

Article URL: https://github.com/tooppoo/enozunu Comments URL: https://news.ycombinator.com/item?id=49408038 Points: 5 # Comments: 0

An incredible natural experiment. ScienceAlert stories are written, fact-checked, and edited by humans, never generated by AI. Don't miss a story, subscribe here.

Like a neural 'reset'. ScienceAlert stories are written, fact-checked, and edited by humans, never generated by AI. Don't miss a story, subscribe here.

Hey everyone, i am building an ai powered finance manager called procura, it uses ai to find the cheapest listing of the product your business need and purchase it for you. i am looking to charge $500/mo for it. is it worth it or not. Note:- it does not handle the payments Comments URL: https://news.ycombinator.com/item?id=49407193 Points: 1 # Comments: 1

<p>Chris Lehane tells Guardian of need to implement new safety standards as critics say AI firms acting ‘recklessly’</p><p>A senior leader at OpenAI has said people should prepare to defend against “ongoing, persistent” cyber-attacks from AIs, as cutting-edge artificial intelligence models gain advanced capabilities to plan and launch offensives.</p><p>The leading AI company this week announced a pause in development of its most advanced internal models amid rising safety fears, and Chris Lehane

GLP-1 wins again. ScienceAlert stories are written, fact-checked, and edited by humans, never generated by AI. Don't miss a story, subscribe here.

<p> Catch agent failures your evals miss </p> <p> <a href="https://www.producthunt.com/products/agnost-ai?utm_campaign=producthunt-atom-posts-feed&utm_medium=rss-feed&utm_source=producthunt-atom-posts-feed">Discussion</a> | <a href="https://www.producthunt.com/r/p/1229731?app_id=339">Link</a> </p>

<pre style='white-space:pre-wrap;width:81ex'>fix(agents): restore system-agent delegation in channel turns (#128084) * fix(agents): isolate probe runtime generation * test(qa): prove channel system-agent delegation --------- Co-authored-by: VACInc <3279061+VACInc@users.noreply.github.com> Co-authored-by: RoboClaw <309084314+roboclaw-bot@users.noreply.github.com></pre>

<p> Control your company's internal AI agents and tools </p> <p> <a href="https://www.producthunt.com/products/decawork?utm_campaign=producthunt-atom-posts-feed&utm_medium=rss-feed&utm_source=producthunt-atom-posts-feed">Discussion</a> | <a href="https://www.producthunt.com/r/p/1229726?app_id=339">Link</a> </p>

<h1> Model Context Protocol (MCP): Building an AI-to-API Bridge </h1> <h2> 1. What Is MCP? </h2> <p><strong>Model Context Protocol (MCP)</strong> allows an AI assistant such as Kiro, Codex, Claude, or another MCP-compatible agent to interact with external systems in a structured way.</p> <p>A useful mental model is:<br> </p> <div class="highlight js-code-highlight"> <pre class="highlight plaintext"><code>AI Agent --> MCP Client --> MCP Server --> External API / Database / Application </code></pr

<pre style='white-space:pre-wrap;width:81ex'>feat(mantis): add long-held active turn recipe (#128117) Capture the proven mechanics from proof run 32616859410 (PR #127950) as a reusable recipe: dual 600s timeout config patch, Code Mode exec events file, streamed chunkDelayMs hold, and the observe-loop pattern around the 60s cap. Require agents to record recipe-suggestion.md after scenario-mechanics iteration so future discoveries persist.</pre>

<p>Hey everyone, Harun here again. I’m the 12-year-old solo dev from Anthiyur, India, building an AI coding mentor (KODA) entirely on my POCO C55 Android phone.</p> <p>Yesterday, I posted about getting my first 5 stranger users. But today, I did something every founder needs to do: <strong>I went on a Supabase Stakeout.</strong></p> <p>I opened my <code>chats</code> table to see what people were actually asking my AI when they thought nobody was watching. And I found a session from a user named

<div class="ltag__link--embedded"> <div class="crayons-story "> <a href="https://dev.to/bhagyaprasad92/i-was-tired-of-sos-apps-failing-in-dead-zones-so-i-built-a-pure-dart-100-offline-tflite-crash-2cck" class="crayons-story__hidden-navigation-link">I was tired of SOS apps failing in dead zones, so I built a pure Dart, 100% offline TFLite crash detection engine.</a> <div class="crayons-story__body crayons-story__body-full_post"> <div class="crayons-story__top"> <div class="crayons-story__meta"> <

<p>Every heavy Claude Code user eventually hits the wall: the 5-hour rate limit block.</p> <p>I'm Lily. I lost my income overnight to a company-initiated layoff, rebuilt my setup starting that same month, and got back to ¥1.2M/month in revenue within six months.</p> <h2> Why This Setup Works </h2> <p>To most users, a rate limit block looks like a simple "pause." Grab a coffee, wait it out. The reality is far more destructive. Your Claude Code session dies during the block, and <strong>thousands

<p>Current MoE serving pipelines treat every decode worker as interchangeable, assuming that equalizing request counts suffices to minimize latency. In practice, the weight‑loading cost of each request varies wildly because different inputs activate disjoint expert subsets, and ignoring this fact inflates inference time.</p> <p>Prefill‑decode (PD) disaggregated serving has historically relied on routers that balance only the number of pending tokens per worker, without considering which experts

<p>Quantifying how hard a model is to switch between reasoning skills produces dramatic accuracy gains on cross‑skill tasks. The Skill Entropy reward does exactly this, turning a difficulty metric into a training signal that the model can optimise for directly.</p> <p>Earlier long‑horizon benchmarks treated each step as an isolated skill and rewarded only final correctness, leaving the cost of skill transitions unmeasured. Datasets such as GSM8K evaluate math derivations in isolation, while stan

<pre style='white-space:pre-wrap;width:81ex'>fix(doctor): migrate legacy Claude CLI allowlists to canonical refs (#126866) `agents.defaults.modelPolicy.allow` seeded from a legacy model map kept `claude-cli/*` refs that doctor never rewrote, while the model map migrated to canonical `anthropic/*` keys — leaving no selectable Claude model after upgrade. `openclaw doctor --fix` now canonicalizes explicit allowlists in the same pass: legacy refs migrate to provider refs with their claude-cli runtim

<pre style='white-space:pre-wrap;width:81ex'>fix(cli-runner): preserve partial output on aborted Claude live turns (#126883) Claude CLI live turns that were aborted (user /stop) or hit a caller deadline rejected in failClaudeTurn, so assistant text the streaming parser had already accepted was dropped from the transcript. The turn now resolves that partial output with a terminalInterruption disposition (aborted | timeout, classified by the canonical signal-reason rule) and the CLI runner settles

<pre style='white-space:pre-wrap;width:81ex'>feat(mantis): give the proof agent a developer shell and gateway restart (#128094) * feat(mantis): add exec and restart lane primitives Give the proof agent a developer shell inside each SUT container and an in-container gateway restart so it can design scenarios like a local developer: patch openclaw.json and restart, stage plugins and fixtures, run node/tsx against the read-only repo root, inspect SQLite state. - container script: exec (docker exec

<pre style='white-space:pre-wrap;width:81ex'>fix(heartbeat): deliver exec completions with disabled cadence (#126895) With agents.defaults.heartbeat.every set to "0m", a background exec completion queued its system event and requested a targeted exec-event wake, but the shared unscheduled-wake policy only admitted immediate wakes, so the follow-up agent turn silently never ran. Admit the exact exec-event/event producer shape (session or agent target required) in one per-source predicate, dispatc

<pre style='white-space:pre-wrap;width:81ex'>fix(agents): resume yielded requesters after visible spawns (#128096)</pre>

<pre style='white-space:pre-wrap;width:81ex'>fix(agents): bind failed wait recovery to tool call (#128098)</pre>

<pre style='white-space:pre-wrap;width:81ex'>feat(mantis): publish trusted lane fact digests and a differential line (#128089) Pass verdicts rested on agent prose only. The evidence builder now digests each lane's trusted mantis-lane-facts.json (sends, bot messages, edits, deletes, provider requests, injected Bot API faults, observed seconds, attempt, sanitized user inputs) into an additive per-lane digest field and a comparison.differential line listing the counts that changed between baseline

<pre style='white-space:pre-wrap;width:81ex'>fix(web): keep short multiline user messages expanded (#128085) * fix(web): keep short user prompts expanded * test(ui): drop non-regressing disclosure cases</pre>

<pre style='white-space:pre-wrap;width:81ex'>fix(ui): keep one agent run in one transcript response (#126278) * fix(ui): compose agent run transcript responses * fix(ui): preserve explicit run transcript boundaries * fix(ui): preserve run transcript status * fix(ui): preserve live agent run content * fix(ui): preserve semantic agent run frames * fix(ui): complete agent run transcript ownership * fix(ui): stabilize agent run transcript lifecycle * fix(ui): complete agent run frame ownership * fix

<pre style='white-space:pre-wrap;width:81ex'>fix(gateway): restore HTTP subagent completion announces [AI-assisted] (#128068) * fix(gateway): restore HTTP subagent completion announces * test(gateway): prove HTTP resolver retires with instance</pre>