project rollup
Default
17979
mentions
across 19 keywords
across 19 keywords
net sentiment
+24%
5612 positive
11025 neutral
1342 negative
volume & sentiment over time
May 13 – Oct 16, 2026 · 4-day buckets
1–8 of 8 keywords
| keyword | mentions | net | trend | top theme | srcs | last seen | |
|---|---|---|---|---|---|---|---|
| timeline | 17678 | +62% | — | 1 | 8h | ||
| 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 | 2w | ||
| Quill | 32 | -10% | performance | 4 | 2w | ||
| Google SynthID AI image watermark discussion | 1 | +100% | — | 1 | 2mo | ||
| Opus 5.5 versus Claude Opus models | 2 | +100% | — | 1 | 3mo |
mentions
Showing 12501–12525 of 17979 mentions
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RT @AnnieLiao_2000: this is going to be big! if you aren't approved yet and want to come please reply below! RT @AnnieLiao_2000: this is going to be big! if you aren't approved yet and want to come please reply below!view source ↗
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All systems are looking good, and weather is favorable for liftoff. Propellant load is about to begin for Falcon 9’s launch of the @SemperCitiusSDA's fourth Tranche 1 data transport mission from California → https://t.co/wz4JbJVy1b https://t.co/Bqj0Ksy8NJ All systems are looking good, and weather is favorable for liftoff. Propellant load is about to begin for Falcon 9’s launch of the @SemperCitiusSDA's fourth Tranche 1 data transport mission from California → https://t.co/wz4JbJVy1b https://t.co/Bqj0Ksy8NJview source ↗
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🚨 CLAUDE USERS!! We Tested the $20 Pro subscription Used Opus 5.5 on Light for 2+ HOUR straight and the results are INSANE 📊 Usage: • 35% of the 5h limit • Only 6% of the weekly limit • 40.9 MILLION TOKENS • 2+ HOUR of continuous work 🚀 The SPEED is absolutely ridiculous80 TOKENS/SEC For $20/month, this is so… 🚨 CLAUDE USERS!! We Tested the $20 Pro subscription Used Opus 5.5 on Light for 2+ HOUR straight and the results are INSANE 📊 Usage: • 35% of the 5h limit • Only 6% of the weekly limit • 40.9 MILLION TOKENS • 2+ HOUR of continuous work 🚀 The SPEED is absolutely ridiculous80 TOKENS/SEC For $20/month, this is some seriously insane usage for the quality of output you get Have you tested Opus 5.5 on Light?view source ↗
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https://t.co/3TDcH7Zsbe https://t.co/3TDcH7Zsbeview source ↗
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हमने भारत और यूरोपियन फ्री ट्रेड एसोसिएशन, यानि “एफ्टा” देशों के बीच, एक ऐतिहासिक ट्रैड एण्ड इकनॉमिक पार्ट्नर्शिप एग्रीमेंट लागू किया। यह यूरोप के किसी भी economic bloc के साथ भारत का पहला FTA है: PM @narendramodi हमने भारत और यूरोपियन फ्री ट्रेड एसोसिएशन, यानि “एफ्टा” देशों के बीच, एक ऐतिहासिक ट्रैड एण्ड इकनॉमिक पार्ट्नर्शिप एग्रीमेंट लागू किया। यह यूरोप के किसी भी economic bloc के साथ भारत का पहला FTA है: PM @narendramodiview source ↗
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If you're on Opus 5.5, read this one. The Claude team wrote a guide on getting the most out of Opus 5.5. It works longer on its own and thinks before every reply, so your prompts need to change. The tips I'd start with: • Give the whole task in one message. Say what "done" means and when it should stop and ask. • … If you're on Opus 5.5, read this one. The Claude team wrote a guide on getting the most out of Opus 5.5. It works longer on its own and thinks before every reply, so your prompts need to change. The tips I'd start with: • Give the whole task in one message. Say what "done" means and when it should stop and ask. • Delete "think carefully" lines. It thinks anyway, and replies start sooner without them. • Add a stop rule to CLAUDE.md: keep going unless it's blocked or about to do something destructive. • Keep the task list in a file so it survives context compaction. • Split codebase-wide audits, migrations, and reviews across subagents, then check each one's evidence. Read the full guide before your next long run. https://t.co/XJHxpFtdpfview source ↗
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Three months ago, i built Finora to answer a simple question where did my money actually go? bank, card and UPI statements become a reviewable ledger. Its 35 MCP tools let agents inspect that same data https://t.co/wwBXn7fUWq Three months ago, i built Finora to answer a simple question where did my money actually go? bank, card and UPI statements become a reviewable ledger. Its 35 MCP tools let agents inspect that same data https://t.co/wwBXn7fUWqview source ↗
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henlo people of @pidotdev! you can use https://t.co/mxSfDfmB2A to sign in with @opencode's new console auth $ pi install npm:pi-provider-opencode-console https://t.co/yyq8WvkkUk henlo people of @pidotdev! you can use https://t.co/mxSfDfmB2A to sign in with @opencode's new console auth $ pi install npm:pi-provider-opencode-console https://t.co/yyq8WvkkUkview source ↗
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The job interview question you don't have to answer https://t.co/EGLCI70jc3 The job interview question you don't have to answer https://t.co/EGLCI70jc3view source ↗
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Addressing the press meet with Mr. Guy Parmelin, President of the Swiss Confederation. @ParmelinG https://t.co/Om5YLt3pcY Addressing the press meet with Mr. Guy Parmelin, President of the Swiss Confederation. @ParmelinG https://t.co/Om5YLt3pcYview source ↗
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Spanish Prime Minister Pedro Sánchez called a snap election after facing mounting pressure from mass protests over the country's housing crisis. https://t.co/3U5ggFFzFy Spanish Prime Minister Pedro Sánchez called a snap election after facing mounting pressure from mass protests over the country's housing crisis. https://t.co/3U5ggFFzFyview source ↗
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Currently, Grok is useless 😭 Both 4.6 and 4.7 totally don’t know what to do. I literally just asked it to find a file, and it keeps loading forever in most of my projects 💀 They destroyed Grok 😭 https://t.co/3fLB0BwkzG Currently, Grok is useless 😭 Both 4.6 and 4.7 totally don’t know what to do. I literally just asked it to find a file, and it keeps loading forever in most of my projects 💀 They destroyed Grok 😭 https://t.co/3fLB0BwkzGview source ↗
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Halo is now available on the App Store. It's a personal AI assistant that helps declutter the noise in your life and shows you what matters right now. I started building Halo last year with 3 goals in mind: - Surface what’s important before I have to ask - Understand my life through the apps I already use - Keep my … Halo is now available on the App Store. It's a personal AI assistant that helps declutter the noise in your life and shows you what matters right now. I started building Halo last year with 3 goals in mind: - Surface what’s important before I have to ask - Understand my life through the apps I already use - Keep my personal data on my device Privacy is at the core of Halo and it's what sets it apart from other AI assistants. Excited to finally share it with you.view source ↗
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Congrats on the round. Messaging is the distribution layer agents were missing — write the logic once, show up where people already talk. The npm numbers make that bet look real. Congrats on the round. Messaging is the distribution layer agents were missing — write the logic once, show up where people already talk. The npm numbers make that bet look real.view source ↗
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https://t.co/t6AgkxOMTv The more cracked you are, the less CSS your portfolio needs ;) https://t.co/t6AgkxOMTv The more cracked you are, the less CSS your portfolio needs ;)view source ↗
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Students protest in Paris over school conditions and funding https://t.co/AQB3X6w1YC Students protest in Paris over school conditions and funding https://t.co/AQB3X6w1YCview source ↗
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This is the ChatGPT moment for Voice AI. A ten-second sample can show that a synthetic voice sounds natural. But it tells little about whether that voice can stay coherent across an entire conversation. Real callers ask follow-up questions, change their requirements, and interrupt before the agent finishes speaking. … This is the ChatGPT moment for Voice AI. A ten-second sample can show that a synthetic voice sounds natural. But it tells little about whether that voice can stay coherent across an entire conversation. Real callers ask follow-up questions, change their requirements, and interrupt before the agent finishes speaking. The voice must respond quickly without resetting its tone and pacing after every turn. This creates two memory problems. - The LLM needs to remember what the caller said. - The speech model needs to retain how the agent has been speaking. A transcript handles the first problem, but not the second. It preserves the words, not their delivery or how much of the previous response the caller actually heard. Deepgram's Flux TTS handles this by maintaining acoustic state inside a persistent streaming session. Each response begins with the speech history from earlier turns, and the first audio arrives in under 200 ms. Flux also handles interruptions through playback tracking. The application sends the point where playback stopped, and the API reports which words the caller heard. That gives the LLM an accurate conversation history for its next response. In a blind listening evaluation across roughly 14,400 paired comparisons, Flux's best voice recorded a 73.4% naturalness win rate. Cartesia Sonic 3.5 recorded 72.0%. Build with Flux TTS here: https://t.co/CT2TXyjZ1Y I recorded a conversation with a car dealership agent about hybrid and electric cars. I changed my requirements and asked follow-up questions to hear how the voice behaved across the full exchange. The recording is below, and I worked with the Deepgram team on this post to put it together.view source ↗
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Every setback shows the method that needs changing. Every setback shows the method that needs changing.view source ↗
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Today, I am giving a live training on how to build an audience in 2026. It’s at 4 pm BST. It’s free to join. Just reply ‘training’ and we will send the room link. Today, I am giving a live training on how to build an audience in 2026. It’s at 4 pm BST. It’s free to join. Just reply ‘training’ and we will send the room link.view source ↗
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2 hours of Astra my Codex limits is done lol https://t.co/qZk9wfeRWF 2 hours of Astra my Codex limits is done lol https://t.co/qZk9wfeRWFview source ↗
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One senior AI engineer plus agents outperforms a five-person team. A PE-backed healthcare company had five people on a module rebuild. We put an AI Velocity Pod on comparable scope in the same codebase. Inside the pod: 1. One senior full-stack engineer paired with AI agents across the SDLC with an orbit of services 2… One senior AI engineer plus agents outperforms a five-person team. A PE-backed healthcare company had five people on a module rebuild. We put an AI Velocity Pod on comparable scope in the same codebase. Inside the pod: 1. One senior full-stack engineer paired with AI agents across the SDLC with an orbit of services 2. A half-time AI delivery architect covering review, architecture, and quality gates Total: 1.5 FTE at $15K-$20K a month. The traditional squad: two backend, two frontend, QA, PM, DevOps. Loaded cost between $610K and $880K a year. Week one goes entirely to building a knowledge graph of the codebase. Every module, dependency, data flow, and domain term stored where agents can reference it before generating anything. After that, every ticket follows six steps: define, spec, plan, implement, test, document. Agents generate roughly 98% of the code. The senior engineer reviews every PR through a gate we call V.U.E.: verify it works, understand why, explain it without the agent. Nothing merges into production unless the engineer passes all three. After 90 days running on the same scope: 1. Development cycles ran 50% faster 2. 122 merged PRs in 90 days 3. 85% of PRs needed fewer than 5 reviewer comments 4. Deployment cadence shifted from weeks to days 5. AI compute cost $200 per developer per month The traditional squad had one person writing code, three waiting on dependencies, and the fifth triaging blockers full time. One condition makes a Velocity Pod work or fail. The engineer has to be senior enough to catch what the agent gets wrong. Every buyer I talk to frames the same constraint: finding a senior developer who understands their domain takes longer than any other hire. AI raised the premium on seniority. AI Velocity Pod puts that person exactly where they compound: reviewing, directing, and deciding while agents handle volume.view source ↗
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someone asked what deploying AI agents at a Fortune 100 actually looks like: https://t.co/ioyuJXeHWc someone asked what deploying AI agents at a Fortune 100 actually looks like: https://t.co/ioyuJXeHWcview source ↗
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Georgia block party shooting kills two, injures dozens https://t.co/vbXfSArNqI https://t.co/vbXfSArNqI Georgia block party shooting kills two, injures dozens https://t.co/vbXfSArNqI https://t.co/vbXfSArNqIview source ↗
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https://t.co/IRUO7nWWtc https://t.co/IRUO7nWWtcview source ↗
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OpenAI gave me one month of Plus($20) plan for free. because i wanted to cancel my subscription https://t.co/ovGPN6s64w OpenAI gave me one month of Plus($20) plan for free. because i wanted to cancel my subscription https://t.co/ovGPN6s64wview source ↗