•twitter18695
listening to
timeline
18695
mentions
tracked
tracked
net sentiment
+24%
5775 positive
11530 neutral
1390 negative
volume & sentiment over time
Sep 30 – Oct 17, 2026 · Daily
sources
most discussed
—
active days
18
mentions
Showing 11876–11900 of 18695 mentions
-
• twitter 1w neutralAnother one bites the dust 🎶 🎵 🎶 Another one bites the dust 🎶 🎵 🎶view source ↗
-
• twitter 1w neutralRT @rybinfx: Scanning the comments 👁️ #x x #js https://t.co/ujQm59Hct8 RT @rybinfx: Scanning the comments 👁️ #x x #js https://t.co/ujQm59Hct8view source ↗
-
• twitter 1w neutralAnthropic’s charity match is over $660M in non-cash expense in just six months. @coryweinberg on the upcoming shareholder cost: “It's percentage points of dilution for shareholders.” Full story: https://t.co/gqGa9AuAMH https://t.co/75BZYgQOqQ Anthropic’s charity match is over $660M in non-cash expense in just six months. @coryweinberg on the upcoming shareholder cost: “It's percentage points of dilution for shareholders.” Full story: https://t.co/gqGa9AuAMH https://t.co/75BZYgQOqQview source ↗
-
• twitter 1w neutralhttps://t.co/Fjem5IISEU https://t.co/Fjem5IISEUview source ↗
-
• twitter 1w positiveIt doesn't make sense to say a subscription plan is worth $ X in isolation. The way to think about subscriptions is that your monthly payment grants you some numbers of “credits”. Each (model, token type) combo consumes a different amount of credits. Because credit cost ratios can differ dramatically from API price ra… It doesn't make sense to say a subscription plan is worth $ X in isolation. The way to think about subscriptions is that your monthly payment grants you some numbers of “credits”. Each (model, token type) combo consumes a different amount of credits. Because credit cost ratios can differ dramatically from API price ratios, the “value” of the same plan changes depending on what model and workload you’re running. Here’s how the API-equivalent value of the same $200/month Claude plan changes depending on the model and workload. (1/6)🧵view source ↗
-
• twitter 1w positivewhy you should care about AI design patterns in your marketing by patterns, I mean the design choices that keep appearing in generated websites, ads and videos the purple gradients, unnecessary labels, cards inside cards and glowing dots moving between boxes you can end up with a finished design that has very little… why you should care about AI design patterns in your marketing by patterns, I mean the design choices that keep appearing in generated websites, ads and videos the purple gradients, unnecessary labels, cards inside cards and glowing dots moving between boxes you can end up with a finished design that has very little connection to your brand your logo and colors might be correct, but the layout, illustrations and motion could belong to any other company that's why recognizing these patterns is useful, especially when you're using agents to produce more of your marketing you need to know which choices fit the work and which ones you're accepting because the model added them here's how to give it better direction: 1. give the agent examples of your approved work include landing pages, ads and videos, with notes on what you want it to follow “use this spacing and typography” gives it more direction than “make it premium” 2. explain what you want to avoid name the specific patterns, like eyebrow text above every heading or pulsing dots along connecting lines a gradient or a card can work, you don't need to ban either from every design 3. review the design before it builds or renders everything ask for a mockup or storyboard first, then review the layout, text and visual choices for motion, agree on what moves, when it moves and what the movement helps explain 4. save your corrections in the brand book keep approved examples alongside the rules, including why you rejected earlier versions give your agents access to this when they create the next asset 5. find useful skills, plugins and harnesses with design instructions look for ones that give your AI specific patterns to avoid and guidance on layout, typography and motion check their examples before using them, then adapt the instructions to your brand studying good design helps you explain what you want, studying AI design patterns helps you recognize what needs changingview source ↗
-
• twitter 1w neutralAutomated the coding. Kept the anxiety manual 😂 Automated the coding. Kept the anxiety manual 😂view source ↗
-
• twitter 1w neutralhttps://t.co/LXiCbnAHtC https://t.co/LXiCbnAHtCview source ↗
-
• twitter 1w positive“summarize up to here” in claude code is great bc it lets you inject info from the future above the prefix ie, it *lets you* recompute the embeddings. this is a feature, not a bug, unless you’re a broke ass “summarize up to here” in claude code is great bc it lets you inject info from the future above the prefix ie, it *lets you* recompute the embeddings. this is a feature, not a bug, unless you’re a broke assview source ↗
-
• twitter 1w positiveThis happens to smart people because of: 1. Deep-rooted identity of “I am good at product” (vs. “I am good at winning” or something like that) 2. Moral aversion against marketing & distribution 3. A habit of seeking virtue points by proclaiming “I just want to serve my users” This happens to smart people because of: 1. Deep-rooted identity of “I am good at product” (vs. “I am good at winning” or something like that) 2. Moral aversion against marketing & distribution 3. A habit of seeking virtue points by proclaiming “I just want to serve my users”view source ↗
-
• twitter 1w neutral@nikhilgohil11 We're almost at 50k more now 💀 @nikhilgohil11 We're almost at 50k more now 💀view source ↗
-
• twitter 1w negativeguys i think i found the guy who broke github this time https://t.co/shaLOOKhUi guys i think i found the guy who broke github this time https://t.co/shaLOOKhUiview source ↗
-
• twitter 1w neutralPOV: https://t.co/w4yqPKlw9D acquired by Apple https://t.co/mdNf4Ecq8Z POV: https://t.co/w4yqPKlw9D acquired by Apple https://t.co/mdNf4Ecq8Zview source ↗
-
• twitter 1w neutralA spatial canvas for heavy duty multi-tasking. A spatial canvas for heavy duty multi-tasking.view source ↗
-
• twitter 1w neutral@ns123abc is this really surprising? you cannot charge api pricing, and that price, and expect companies which use to argue about cost of laptops continue to pay infinity dollars to athropic @ns123abc is this really surprising? you cannot charge api pricing, and that price, and expect companies which use to argue about cost of laptops continue to pay infinity dollars to athropicview source ↗
-
• twitter 1w neutralJaylen Brown gets on the board in his @sixers preseason debut 🔔 Watch Knicks/Sixers on NBA TV! https://t.co/9xtJx5vI93 Jaylen Brown gets on the board in his @sixers preseason debut 🔔 Watch Knicks/Sixers on NBA TV! https://t.co/9xtJx5vI93view source ↗
-
• twitter 1w positiveTraining Qwen-3.8-27B directly on its own harness wins made it WORSE on Terminal-Bench 2 (57% to 53.4% pass@3). Rewrite those same wins as runbooks, re-solve them under a plain harness, then train? 74.2%. Tencent HY + UMD's Recursive Self-Rewrite: 3 harnesses solved 34% more tasks than the best one alone, and 2,001 w… Training Qwen-3.8-27B directly on its own harness wins made it WORSE on Terminal-Bench 2 (57% to 53.4% pass@3). Rewrite those same wins as runbooks, re-solve them under a plain harness, then train? 74.2%. Tencent HY + UMD's Recursive Self-Rewrite: 3 harnesses solved 34% more tasks than the best one alone, and 2,001 wins became 11,094 clean trajectories. Harness tricks are turning into weights. How long before the scaffold is optional? #AgenticAI #PostTraining #AIAgentsview source ↗
-
• twitter 1w neutralcan someone from cursor team give me cursor plan i wanna try projects in cursor. can someone from cursor team give me cursor plan i wanna try projects in cursor.view source ↗
-
• twitter 1w positivebasically you’re paying a premium as a startup bc you’re not very creditworthy (also not big enough for the datacenter to get low-interest loans based on you) the solution is ganging up and forming a cooperative, where a bunch of companies all looking for colo space put out a bid together and share the space all the … basically you’re paying a premium as a startup bc you’re not very creditworthy (also not big enough for the datacenter to get low-interest loans based on you) the solution is ganging up and forming a cooperative, where a bunch of companies all looking for colo space put out a bid together and share the space all the companies involved pay less, and the datacenter is happy bc they can bring this to the bank and get a decent loan if you’re interested in this hmu! i’ll put a list togetherview source ↗
-
• twitter 1w positive🗞 Daily AI Brief (2-Min) 🔥GOOGLE : • Gemini app is reshuffling model access: free users drop to Flash-Lite only from Oct 9, AI Plus loses Pro, and AI Pro gains Deep Think. 🔥ALEPH ALPHA : • Kolibri-1 is out as open weights under Apache 2.0: a 78B MoE with 3.46B active parameters, built for German/English sovereign d… 🗞 Daily AI Brief (2-Min) 🔥GOOGLE : • Gemini app is reshuffling model access: free users drop to Flash-Lite only from Oct 9, AI Plus loses Pro, and AI Pro gains Deep Think. 🔥ALEPH ALPHA : • Kolibri-1 is out as open weights under Apache 2.0: a 78B MoE with 3.46B active parameters, built for German/English sovereign deployments. 🔥ANTHROPIC : • Claude now asks voice users to opt in to sharing voice data for model training, via a separate privacy toggle that is off by default. 🔥OPENAI : • GPT-6.1 Sol Ultrafast is coming soon, per Codex lead Tibo Sottiaux. • Safety lead David Robinson resigned, writing in The Atlantic that OpenAI's "culture is broken." 🔥MISTRAL : • Mistral is working on its own Voice Mode, which looks TTS-based for now. 🔥META : • Meta is building an "Agent Engine" for its Meta API Platform, codenamed Forge internally. It'll allow developers to build and run AI agents directly on its own infrastructure.view source ↗
-
• twitter 1w neutralhow much vibe coding is an acceptable amount of vibe coding? how much vibe coding is an acceptable amount of vibe coding?view source ↗
-
• twitter 1w positivebenchmark against known findings glm: 6.5/10 openai: 8/10 claude: 8/10 however glm was like 1/20th cost benchmark against known findings glm: 6.5/10 openai: 8/10 claude: 8/10 however glm was like 1/20th costview source ↗
-
• twitter 1w positivethe original study, free to read (Dell'Acqua, Mollick, Lakhani et al., NBER 2025): https://t.co/fV1FGmRsUL the original study, free to read (Dell'Acqua, Mollick, Lakhani et al., NBER 2025): https://t.co/fV1FGmRsULview source ↗
-
• twitter 1w negativeHarvard and Wharton researchers ran 776 Procter & Gamble professionals through real product work. alone or in pairs. with AI or without. one person with AI matched the work of a two-person team without it. this 2-page PDF breaks down "The Cybernetic Teammate" study, and the finding that matters most if you work alon… Harvard and Wharton researchers ran 776 Procter & Gamble professionals through real product work. alone or in pairs. with AI or without. one person with AI matched the work of a two-person team without it. this 2-page PDF breaks down "The Cybernetic Teammate" study, and the finding that matters most if you work alone: AI filled in the expertise the missing teammate would have brought. the real question isn't "can AI replace a team?" it's "which seat in my one-person company is still empty?" how to fill every seat is in the article below:view source ↗
-
• twitter 1w positiveDidn't know @Muse could ball like that (inspo @arisawyers) https://t.co/ePwU7PqiVn Didn't know @Muse could ball like that (inspo @arisawyers) https://t.co/ePwU7PqiVnview source ↗