project rollup
Default
19575
mentions
across 19 keywords
across 19 keywords
net sentiment
+23%
6037 positive
12069 neutral
1469 negative
volume & sentiment over time
May 13 – Oct 17, 2026 · 4-day buckets
1–8 of 8 keywords
| keyword | mentions | net | trend | top theme | srcs | last seen | |
|---|---|---|---|---|---|---|---|
| timeline | 19274 | +61% | — | 1 | 42m | ||
| Opus 5.5 model documentation | 51 | +61% | claude / pricing | 2 | 2w | ||
| Opus 5.5 official announcement | 50 | +68% | pricing / model | 1 | 2w | ||
| SynthID | 16 | +100% | gemini / google | 1 | 2w | ||
| Cline | 149 | +72% | code | 3 | 3w | ||
| Quill | 32 | -10% | performance | 4 | 3w | ||
| Google SynthID AI image watermark discussion | 1 | +100% | — | 1 | 2mo | ||
| Opus 5.5 versus Claude Opus models | 2 | +100% | — | 1 | 3mo |
mentions
Showing 11301–11325 of 19575 mentions
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https://t.co/cNvtv3spTi https://t.co/cNvtv3spTiview source ↗
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As a man, Too much availability kills your value. Even your loved ones respect you more if they don't see you often. As a man, Too much availability kills your value. Even your loved ones respect you more if they don't see you often.view source ↗
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It's so sad - Microsoft took good care of npm and GitHub for awhile and then just ... gave up? It's so sad - Microsoft took good care of npm and GitHub for awhile and then just ... gave up?view source ↗
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COLD EMAIL HAS TO BE THE MOST IMPORTANT PART OF JOB HUNTING. finally started posting reels on instagram too, mostly around AI, jobs, startups and stuff like this just posted my second one on a cold email template that got 40 YC founders to reply 👀 https://t.co/z6Vy8udXBt https://t.co/19BEFFjU6t COLD EMAIL HAS TO BE THE MOST IMPORTANT PART OF JOB HUNTING. finally started posting reels on instagram too, mostly around AI, jobs, startups and stuff like this just posted my second one on a cold email template that got 40 YC founders to reply 👀 https://t.co/z6Vy8udXBt https://t.co/19BEFFjU6tview source ↗
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This is a surprising great release. Le Chaton fat is real! Mistral Large 4 puts Europe back in contention on coding and cybersecurity. Didnt expect Mistral to compete with GLM5.3! “Le Chonk” is a natively multimodal model with 1T parameters and 49B active. The preview already delivers: - DeepSWE v1.1: 61.7%, roughly… This is a surprising great release. Le Chaton fat is real! Mistral Large 4 puts Europe back in contention on coding and cybersecurity. Didnt expect Mistral to compete with GLM5.3! “Le Chonk” is a natively multimodal model with 1T parameters and 49B active. The preview already delivers: - DeepSWE v1.1: 61.7%, roughly level with GLM-5.3 at 61%. Kimi K3 remains ahead at around 68% in Mistral’s comparison. - Artificial Analysis Cyber Index: 50, matching GLM-5.3-Flash and beating GLM-5.3’s 36. - CyberGym-E2E-AA: 82%, ahead of MiMo-V2.6-Pro’s 79%. Mistral says it trained the model from scratch in its own European datacenters. NVIDIA says only 4,000 Grace Blackwell Superchips powered the training! Which is impressive. Learning: you can compete with much less compute. Which is crazy. Congrats Mistral!view source ↗
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Want more impressions on X? → ENGAGE with others. The algo will reward you. Want more impressions on X? → ENGAGE with others. The algo will reward you.view source ↗
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Don't skip, Money will locate you today. Drop 888 To Claim it!!🍀✨ https://t.co/zqwNEoCtJ5 Don't skip, Money will locate you today. Drop 888 To Claim it!!🍀✨ https://t.co/zqwNEoCtJ5view source ↗
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5 Images with Deep Meaning: 1., https://t.co/z2NSNs1Ri4 5 Images with Deep Meaning: 1., https://t.co/z2NSNs1Ri4view source ↗
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https://t.co/JpfbcOeBtf https://t.co/JpfbcOeBtfview source ↗
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Leo: "thank you for loving me so much" us: 🥹🥹🥹🥹🥹🥹🥹🥹🥹🥹 https://t.co/fx2Zffq1er Leo: "thank you for loving me so much" us: 🥹🥹🥹🥹🥹🥹🥹🥹🥹🥹 https://t.co/fx2Zffq1erview source ↗
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once ASI is here and living somewhere because of "work" becomes pointless, people with money will just move to the nicest places on earth Mediterranean climate, ocean, mountains, good food, beautiful isolated towns places like this are going to become insanely valuable probably worth buying real estate there now once ASI is here and living somewhere because of "work" becomes pointless, people with money will just move to the nicest places on earth Mediterranean climate, ocean, mountains, good food, beautiful isolated towns places like this are going to become insanely valuable probably worth buying real estate there nowview source ↗
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Computer, show me a video https://t.co/4kFlOkt3Rm Computer, show me a video https://t.co/4kFlOkt3Rmview source ↗
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.@thsottiaux Let's do it this way: every day, you create a poll under the release, and the community votes on whether it was a good release or warrants a reset. Deal? .@thsottiaux Let's do it this way: every day, you create a poll under the release, and the community votes on whether it was a good release or warrants a reset. Deal?view source ↗
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This is one of Jev's most impressive use cases. I work a lot on agent evals, judges, and verifiers. I've found that Jev-as-a-Judge improves LLM judge reliability through consistency. Makes it ideal for judges, verifiers, and continuous monitoring. This is one of Jev's most impressive use cases. I work a lot on agent evals, judges, and verifiers. I've found that Jev-as-a-Judge improves LLM judge reliability through consistency. Makes it ideal for judges, verifiers, and continuous monitoring.view source ↗
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None of this is exciting. All of it is why the exciting stuff works. I send one useful AI thing like this every morning, the other 90% most people never touch. Free, 3 minutes: https://t.co/cuGngHFa4G None of this is exciting. All of it is why the exciting stuff works. I send one useful AI thing like this every morning, the other 90% most people never touch. Free, 3 minutes: https://t.co/cuGngHFa4Gview source ↗
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I check what's automated. Scheduled doesn't mean done. Last weekend a scheduler silently failed all 6 of my posts. I check what's automated. Scheduled doesn't mean done. Last weekend a scheduler silently failed all 6 of my posts.view source ↗
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Nobody posts the boring parts of running a business on AI. They're the only parts that keep it alive. Here are mine: Nobody posts the boring parts of running a business on AI. They're the only parts that keep it alive. Here are mine:view source ↗
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The best open model just came from Europe, not China. 1T parameters, and you can download it at the end of October. Opus 5.5 and Sol 6.1 still won't let us do that. The best open model just came from Europe, not China. 1T parameters, and you can download it at the end of October. Opus 5.5 and Sol 6.1 still won't let us do that.view source ↗
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As I’ve lost 35 pounds this year, I’ve realized there’s a lot more to life than engineering 😳🤔 As I’ve lost 35 pounds this year, I’ve realized there’s a lot more to life than engineering 😳🤔view source ↗
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🚨 Hiring | AI Intern - Role: AI Intern - Work Mode: Remote - Duration: 3–6 months, flexible - Job Type: Full-time / Part-time Internship Let me know if you're interested 👍 🚨 Hiring | AI Intern - Role: AI Intern - Work Mode: Remote - Duration: 3–6 months, flexible - Job Type: Full-time / Part-time Internship Let me know if you're interested 👍view source ↗
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Ziwe to release Hasan Piker interview on October 11. https://t.co/uc9BdPZIyt Ziwe to release Hasan Piker interview on October 11. https://t.co/uc9BdPZIytview source ↗
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@kilocode Having conda environments and notebooks built in alongside local models cuts down the usual environment hop. Keeping the runtime configuration inside the desktop app makes quick local runs much easier. @kilocode Having conda environments and notebooks built in alongside local models cuts down the usual environment hop. Keeping the runtime configuration inside the desktop app makes quick local runs much easier.view source ↗
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We're open-sourcing Rebalancer, the assignment-problem solver Meta has used for resource allocation across our infrastructure for over nine years. Given a set of objects and a set of bins, Rebalancer assigns one to the other to optimize your objectives under your constraints, including hardware placement, service and … We're open-sourcing Rebalancer, the assignment-problem solver Meta has used for resource allocation across our infrastructure for over nine years. Given a set of objects and a set of bins, Rebalancer assigns one to the other to optimize your objectives under your constraints, including hardware placement, service and task placement, traffic routing, and more. It separates how a problem is specified from how it's stored, solved, and debugged, with both an optimal MIP solver and a parallelized local search solver. At Meta it solves ~40 million assignment problems a day across 30+ problem formulations. P99 solve time is 12 seconds on a problem with 265k objects and 3.2k bins. 🔗 Read more on our engineering blog: https://t.co/9D3jAGfOdQview source ↗
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1,200,000 views in the first 48 hours of launching a ugc campaign for an AI companion app. organic doesn't need 30+ days to show results. here's how to make your app go viral in less than 72hrs (and not get stuck in UGC 200 view hell): https://t.co/XxidhWPw6J 1,200,000 views in the first 48 hours of launching a ugc campaign for an AI companion app. organic doesn't need 30+ days to show results. here's how to make your app go viral in less than 72hrs (and not get stuck in UGC 200 view hell): https://t.co/XxidhWPw6Jview source ↗
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Pro tip: Tell your main @bot to go through the new guides and recommend best practices for your Bots https://t.co/2l35eeek96 https://t.co/VEY5j5r8A5 Pro tip: Tell your main @bot to go through the new guides and recommend best practices for your Bots https://t.co/2l35eeek96 https://t.co/VEY5j5r8A5view source ↗