project rollup
Default
301
mentions
across 18 keywords
across 18 keywords
net sentiment
+25%
107 positive
161 neutral
33 negative
volume & sentiment over time
May 13 – Sep 28, 2026 · 3-day buckets
1–7 of 7 keywords
| keyword | mentions | net | trend | top theme | srcs | last seen | |
|---|---|---|---|---|---|---|---|
| Opus 5.5 model documentation | 51 | +61% | claude / pricing | 2 | 4d | ||
| Opus 5.5 official announcement | 50 | +68% | pricing / model | 1 | 5d | ||
| SynthID | 16 | +100% | gemini / google | 1 | 5d | ||
| Cline | 149 | +72% | code | 3 | 6d | ||
| Quill | 32 | -10% | performance | 4 | 6d | ||
| Google SynthID AI image watermark discussion | 1 | +100% | — | 1 | 2mo | ||
| Opus 5.5 versus Claude Opus models | 2 | +100% | — | 1 | 2mo |
mentions
Showing 276–300 of 301 mentions
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https://t.co/jtugf7eh1U https://t.co/jtugf7eh1Uview source ↗
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What is happening to jobs? Separating AI hype from realityDevin and Cline were the original true "agents" IIRC. Aider was the original terminal "agent" but it was't a true agent, it was sort of a hybrid agentic chat, since it had limited recursion ability (3 turns by default) and you had to configure it carefully to make it consistently take multiple turns in a row. Devin and Cline were the original true "agents" IIRC. Aider was the original terminal "agent" but it was't a true agent, it was sort of a hybrid agentic chat, since it had limited recursion ability (3 turns by default) and you had to configure it carefully to make it consistently take multiple turns in a row.view source ↗
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https://t.co/pq2g8eqHeo https://t.co/pq2g8eqHeoview source ↗
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I think you might be fooling yourself with AII think you might be fooling yourself. Personal-plan subscription subsidies do not equate to "it's not viable, and all of it is about to be shut off." If that were true, then Kilo Code, Claude Code, Cline, Pi, and Command Code would not be occupying 5 of the top 10 apps using OpenRouter. People have purchased 20 trilli… I think you might be fooling yourself. Personal-plan subscription subsidies do not equate to "it's not viable, and all of it is about to be shut off." If that were true, then Kilo Code, Claude Code, Cline, Pi, and Command Code would not be occupying 5 of the top 10 apps using OpenRouter. People have purchased 20 trillion tokens this month already for coding on OpenRouter alone at full-price market rates. Would you commission a study about whether cars are really a faster form of locomotion before deciding to purchase one? There is empirical data right in front of your face. You're just choosing to exclude it because of where you already stand. That's exactly what Feynman was warning about.view source ↗
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Never EnoughJust the building process. I maintain my own full-stack JS framework and build apps on top of it. LLMs have significantly sped up my ability to take an idea and ship it (I do turn-based work via Cline + Claude). Case in point: I was able to ship this [1] in one month flat at a quality level that doesn't make me squirm … Just the building process. I maintain my own full-stack JS framework and build apps on top of it. LLMs have significantly sped up my ability to take an idea and ship it (I do turn-based work via Cline + Claude). Case in point: I was able to ship this [1] in one month flat at a quality level that doesn't make me squirm to release. That same product would have easily been 60-90 days (if not longer) purely by hand for me in the past. [1] https://fortivibe.comview source ↗
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Kimi K3: second only to Fable 5 on AA-BriefcaseWhat harness do they use for testing? Back in 2025 it was common to test models in a different harnesses. I remember watching a guy on youtube, who was testing every new model in opencode, cline, codex, claude, etc. Why did it come out of fashion ? EDIT: ah, yeah. the point was that a harness would often affect results… What harness do they use for testing? Back in 2025 it was common to test models in a different harnesses. I remember watching a guy on youtube, who was testing every new model in opencode, cline, codex, claude, etc. Why did it come out of fashion ? EDIT: ah, yeah. the point was that a harness would often affect results (task completion rate, I think) for more than 10%view source ↗
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Kimi K3 Is Competitive with Fable; Kimi K3 and Fable Is SoTASimplest way is to signup to OpenRouter and filter out all non ZDR (zero data retention) providers. Paying "API rates" however can prove expensive compared to coding plans (for instance, MiniMax $20/mo coding plan allows 1.7b tokens; depending on input/output/cache ratio, it is worth $200 to $500+), except for Hy3 , De… Simplest way is to signup to OpenRouter and filter out all non ZDR (zero data retention) providers. Paying "API rates" however can prove expensive compared to coding plans (for instance, MiniMax $20/mo coding plan allows 1.7b tokens; depending on input/output/cache ratio, it is worth $200 to $500+), except for Hy3 , DeepSeek v4 Pro , and MiMo v2.5 Pro (whose API rates are cheap and/or discounted already). If you're looking to not have to deal with Chinese providers, AtlasCode ($20/mo), OpenCode Go ($10/mo), and Cline Pass ($10/mo) provide 2x to 6x usage for some of the popular open weights (depending on the model). Personally, I subscribe to Z.ai ($17/mo), and pay API rates for MiMo v2.5 , Hy3 , Qwen 3.7 Plus , & DeepSeek v4 to the original providers (Xiaomi, Tencent, Alibaba, & DeepSeek).view source ↗
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Kimi K3 Is Competitive with Fable; Kimi K3 and Fable Is SoTAthere is also https://cline.bot/cline-pass there is also https://cline.bot/cline-passview source ↗
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https://t.co/5BWvsHEOTJ https://t.co/5BWvsHEOTJview source ↗
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https://t.co/fNsN5B6zph https://t.co/fNsN5B6zphview source ↗
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https://t.co/r1L8qCQgL0 https://t.co/r1L8qCQgL0view source ↗
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The Kimi K3 Moment> tried Kimi K3 on a task I've done with every other model I use regularly and found it chewed a lot longer on the problem and ate up almost the entirety of a 5 hour usage limit on their $19 plan ArtificialAnalysis puts Kimi K3 just below DeepSeek v4 & GLM 5.2 in token use per task, which is about 2x to 3x more tokens … > tried Kimi K3 on a task I've done with every other model I use regularly and found it chewed a lot longer on the problem and ate up almost the entirety of a 5 hour usage limit on their $19 plan ArtificialAnalysis puts Kimi K3 just below DeepSeek v4 & GLM 5.2 in token use per task, which is about 2x to 3x more tokens than Grok 4.5: https://x.com/ArtificialAnlys/status/2077832879187620192 / https://archive.vn/zBbFi 2 other open weights MiMo v2.5 & MiniMax M3 are comparatively thrifty. > Subscription usage limits are hard to measure as none of the providers tell you directly what it means in terms of tokens or anything else you can easily compare I always put my coding subscriptions (that allow it) through "AI gateways" (Cloudflare & OpenRouter are free) which help track token use. In my experience, Kimi & Qwen Cloud have opaque & restrictive limits, their "credits" drain faster. I now make it a point of subscribing (directly [0]) with providers that are transparent like MiniMax, DeepSeek, Xiaomi, & Z.ai. [0] OpenCode Go, Cline, and AtlasCloud have generous limits for open weights, otherwise.view source ↗
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https://t.co/RYu5vvWNNz https://t.co/RYu5vvWNNzview source ↗
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Here's the translation of the WeChat Announcement https://t.co/ZHF1ky9xdw Kimi K3: The New Frontier of Intelligence Those who take on the hardest challenges and pursue the farthest horizons begin with courage, persevere with focus, and prevail through strength. Today, we are officially launching Kimi K3, our most ca… Here's the translation of the WeChat Announcement https://t.co/ZHF1ky9xdw Kimi K3: The New Frontier of Intelligence Those who take on the hardest challenges and pursue the farthest horizons begin with courage, persevere with focus, and prevail through strength. Today, we are officially launching Kimi K3, our most capable model to date. Kimi K3 is a 2.8-trillion-parameter model built on the Kimi Delta Attention (KDA) hybrid linear-attention mechanism and Attention Residuals. It natively supports visual understanding and features a one-million-token context window. It is the world’s first open-source model in the three-trillion-parameter class, designed for frontier intelligence applications such as long-horizon coding, knowledge work, and reasoning. Although Kimi K3’s overall performance still trails the strongest closed-source models, Claude Fable 5 and GPT-5.6 Sol, it demonstrates frontier-level capabilities across our full evaluation suite and consistently outperforms every other model. The release of Kimi K3 is only the beginning. We will continue exploring the model’s potential and improving its performance on real-world tasks. Starting today, Kimi K3 is available through https://t.co/pf2bINlnkD, the latest version of the Kimi mobile app, the latest Kimi Work desktop client, Kimi Code, and the Kimi API. The default reasoning intensity is currently set to max, with low and high modes to be added in a future update. We are working closely with inference partners and open-source maintainers to align technical details and ensure that the model can be deployed reliably across the ecosystem. The complete model weights will be released by July 27, 2026. Further details about the architecture, training process, and evaluations will be published alongside the Kimi K3 technical report. An Open-Source Model in the Three-Trillion-Parameter Class Kimi K3 is the first open-source model to reach a scale of 2.8 trillion parameters. This represents the latest step in Kview source ↗
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https://t.co/8IS9xotQua https://t.co/8IS9xotQuaview source ↗
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fundamentally confused presentation. the unit is cost per token at fixed quality. the relevant graphs looks like this, and the lines move up and to the left over time, representing *increasing* efficiency arcprize.org/leaderboard www.aisi.gov.uk/blog/our-eva... openai.com/index/gpt-5-6/ fundamentally confused presentation. the unit is cost per token at fixed quality. the relevant graphs looks like this, and the lines move up and to the left over time, representing *increasing* efficiency arcprize.org/leaderboard www.aisi.gov.uk/blog/our-eva... openai.com/index/gpt-5-6/view source ↗
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Show HN: Juggler – an open-source GUI coding agent, by the creator of JUCEMiller columns rather than a big doom-scroll Sold, this is my biggest annoyance with Cline. Go backend, Wails for windowing (no Electron), plain type-checked JS (strict JSDoc), Yjs for the documents. Usual BYOK provider support: Claude (CLI or API), OpenAI/Codex, Gemini, Ollama, OpenRouter, DeepSeek, etc. Double sold A… Miller columns rather than a big doom-scroll Sold, this is my biggest annoyance with Cline. Go backend, Wails for windowing (no Electron), plain type-checked JS (strict JSDoc), Yjs for the documents. Usual BYOK provider support: Claude (CLI or API), OpenAI/Codex, Gemini, Ollama, OpenRouter, DeepSeek, etc. Double sold As a longtime sound engineer I'm pretty familiar with JUCE and your other productions, so I will be trying this with confidence.view source ↗
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Show HN: I Wanted AI Code Review I Could Own. So I Built CodraThere's some overlap since Codra also lets you use your own provider. But Cline and Continue live in your editor and you use them yourself. Codra runs on its own and reviews PRs, posting comments right on the PR. Different thing, not really a swap. It's an early-stage project so I expect to add a lot more! There's some overlap since Codra also lets you use your own provider. But Cline and Continue live in your editor and you use them yourself. Codra runs on its own and reviews PRs, posting comments right on the PR. Different thing, not really a swap. It's an early-stage project so I expect to add a lot more!view source ↗
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A full body MRI earns you a year of smokingTheir employees are here on this site too, downvoting preventative care and anything that grants health at a low cost to individuals. The corresponding gatekeeper organizations like the Endocrine Society and the The Journal of Clinical Endocrinology do their best to shamelessly disinform and seriously harm the people, … Their employees are here on this site too, downvoting preventative care and anything that grants health at a low cost to individuals. The corresponding gatekeeper organizations like the Endocrine Society and the The Journal of Clinical Endocrinology do their best to shamelessly disinform and seriously harm the people, e.g. via DOI 10.1210/clinem/dgae290. And don't even get me started wrt how corrupt the FDA is, serving the biomedical firms, not the people.view source ↗
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Claude Code sends 33k tokens before reading the prompt; OpenCode sends 7kI recently started using cline instead of opencode and prefer the interface. I'm interested if anyone here here has any arguments for opencode or codex over cline? I recently started using cline instead of opencode and prefer the interface. I'm interested if anyone here here has any arguments for opencode or codex over cline?view source ↗
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ChatGPT Is No Longer Just a Chatbot The new OpenAI release is really about work, not just models OpenAI’s latest ChatGPT release looks, at first glance, like another model announcement. New names, new capabilities, new benchmarks. Sol, Terra and Luna. GPT-5.6. More power, more speed, more coding ability. But that is … ChatGPT Is No Longer Just a Chatbot The new OpenAI release is really about work, not just models OpenAI’s latest ChatGPT release looks, at first glance, like another model announcement. New names, new capabilities, new benchmarks. Sol, Terra and Luna. GPT-5.6. More power, more speed, more coding ability. But that is not really the main story. The real story is that ChatGPT is moving from being a conversational assistant into something much closer to a work platform. It is no longer only a place where we ask questions, brainstorm ideas, write drafts or get help understanding things. It is becoming a place where work is planned, executed, reviewed, corrected, published and repeated. That is a very big change, especially for people who already use ChatGPT seriously every day. In the release video, OpenAI presented three linked developments: the GPT-5.6 model family, ChatGPT Work, and a new desktop app that brings Chat, Work and Codex closer together. The transcript describes Sol as coming to paid users, Terra and Luna as coming to free users, and ChatGPT Work as a new way for ChatGPT to perform complex tasks across web, mobile and desktop. It also describes a desktop experience where ChatGPT can work with local files, browser tabs and apps, while hosted Sites allow users to create and share interactive websites or dashboards. That is the shift. ChatGPT is not just answering. It is starting to do. The three-model family: Sol, Terra and Luna OpenAI now describes GPT-5.6 as a family of models with three durable tiers: Sol, Terra and Luna. Sol is the flagship model. Terra is the balanced model for everyday work. Luna is the most cost-efficient model. That naming matters because it gives users a more practical way to think about model choice. Instead of only asking “what is the best model?”, the better question becomes: “what is the right model for this job?” Sol is for the hardest work. It is the model OpenAI positions for complex coding, agentic workflows, cyberview source ↗
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https://t.co/Eu2wIdFJDJ https://t.co/Eu2wIdFJDJview source ↗
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https://t.co/B5bRGzgw48 https://t.co/B5bRGzgw48view source ↗
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BOOM GROK 4.5 IS OUT! Grok 4.5 has now been officially released and is available via the SpaceXAI API, Grok Build, and integrated into Cursor. This follows Elon Musk’s earlier announcement of strong beta feedback and accelerates the public rollout. SpaceXAI positions it as its strongest model to date, specifically o… BOOM GROK 4.5 IS OUT! Grok 4.5 has now been officially released and is available via the SpaceXAI API, Grok Build, and integrated into Cursor. This follows Elon Musk’s earlier announcement of strong beta feedback and accelerates the public rollout. SpaceXAI positions it as its strongest model to date, specifically optimized for coding, agentic tasks, and knowledge work. The official announcement emphasizes training alongside Cursor and reinforcement learning on hundreds of thousands of multi-step engineering tasks. It highlights practical strengths in building functional applications, complex spreadsheets, presentations, and documents. Key Specifications and New Details • Architecture: 1.5-trillion-parameter V9 foundation model, trained on curated datasets spanning coding, science, engineering, and mathematics. • Specialization: First Grok model explicitly trained for coding and agents, with supplemental Cursor data and extensive RL on real engineering workflows. • Inference Speed: Served at fast-model speeds of approximately 80 tokens per second. • Pricing: $2 per million input tokens and $6 per million output tokens — competitive for frontier performance. • Availability: Live now on the SpaceXAI API (model name: grok-4.5), Grok Build, and Cursor. Not yet available in the EU (expected mid-July). Microsoft Office plugins for Word, PowerPoint, and Excel are also rolling out. Performance and Benchmarks Independent benchmarks are now public, providing concrete data beyond internal claims. Grok 4.5 shows particular strength in agentic and engineering-focused evaluations: • Harvey’s Legal Agent Benchmark: #1 score. • DeepSWE 1.0 (within each model’s harness): 62.0% — ahead of Opus 4.8 (max) at 55.75% and competitive with GPT 5.5 (xhigh) at 64.31%. • DeepSWE 1.1 (mini-swe-agent harness): 53%. • Terminal Bench 2.1: 83.3% — ahead of Opus 4.8 (max) at 78.9% and close to top performers. • SWE Bench Pro resolve rate: 64.7% (Opus 4.8 max: 69.2%; Fable max leadsview source ↗
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https://t.co/sC6KVRr4EJ https://t.co/sC6KVRr4EJview source ↗