project rollup
Default
20385
mentions
across 19 keywords
across 19 keywords
net sentiment
+23%
6240 positive
12611 neutral
1534 negative
volume & sentiment over time
May 13 – Oct 19, 2026 · 4-day buckets
1–8 of 8 keywords
| keyword | mentions | net | trend | top theme | srcs | last seen | |
|---|---|---|---|---|---|---|---|
| timeline | 20084 | +61% | — | 1 | 1h | ||
| Opus 5.5 model documentation | 51 | +61% | claude / pricing | 2 | 2w | ||
| Opus 5.5 official announcement | 50 | +68% | pricing / model | 1 | 3w | ||
| SynthID | 16 | +100% | gemini / google | 1 | 3w | ||
| 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 6526–6550 of 20385 mentions
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BitePal ($500K/month) launched this ad 11 days ago. In 8 days it went from No. 54 to No. 2 on its page. One video, six languages. Same 1,500 calories: a small pizza vs. big healthy plates. Complete breakdown of their ads & acquisition tactic below 👇 https://t.co/OPJWZ0ik4X BitePal ($500K/month) launched this ad 11 days ago. In 8 days it went from No. 54 to No. 2 on its page. One video, six languages. Same 1,500 calories: a small pizza vs. big healthy plates. Complete breakdown of their ads & acquisition tactic below 👇 https://t.co/OPJWZ0ik4Xview source ↗
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The Best heist in the history ever 😅 . https://t.co/m3BRJk6qaI The Best heist in the history ever 😅 . https://t.co/m3BRJk6qaIview source ↗
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founders NEED to think about content like this: “if you nail content, it's the only marketing channel you'll ever need and one of the most scalable verticals.” this goes way deeper than posting. writing, packaging, taste, distribution, systems, hiring, team structure... if you're going to read anything today, read … founders NEED to think about content like this: “if you nail content, it's the only marketing channel you'll ever need and one of the most scalable verticals.” this goes way deeper than posting. writing, packaging, taste, distribution, systems, hiring, team structure... if you're going to read anything today, read this.view source ↗
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Mark your calendar for the most wonderful time of the year! Nov 4: A Dog’s Perfect Christmas Nov 11: Tyler Perry's The Gospel of Christmas Nov 18: Guarding Stars Dec 2: In a Holidaze https://t.co/Wyx46UUBAk Mark your calendar for the most wonderful time of the year! Nov 4: A Dog’s Perfect Christmas Nov 11: Tyler Perry's The Gospel of Christmas Nov 18: Guarding Stars Dec 2: In a Holidaze https://t.co/Wyx46UUBAkview source ↗
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Grid + MinGRU, 34% of the deck's 150M steps/s target, 10th of 18 (Opus 5.5: 79%, Opus 5 leads at 196%). The leaders fuse the rollout into one persistent kernel on fp16 tensor cores. Haiku uses four fp32 launches per step, but finds a closed-form jump for the shared food RNG. Kernel: https://t.co/iWNaAf0Z1C Trace: http… Grid + MinGRU, 34% of the deck's 150M steps/s target, 10th of 18 (Opus 5.5: 79%, Opus 5 leads at 196%). The leaders fuse the rollout into one persistent kernel on fp16 tensor cores. Haiku uses four fp32 launches per step, but finds a closed-form jump for the shared food RNG. Kernel: https://t.co/iWNaAf0Z1C Trace: https://t.co/QudOW0rD68view source ↗
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MegaQwen Decode, 4.6% of roofline, 11th of 21 (Opus 5.5: 7.4%, Sonnet 5.5: 8.0%). Opus and Sonnet run every decode step and all four layers in one cooperative launch. Haiku launches 29 small kernels per step from the host, so short contexts are launch-bound; at 128K it streams the cache as fast as the others. Kernel: … MegaQwen Decode, 4.6% of roofline, 11th of 21 (Opus 5.5: 7.4%, Sonnet 5.5: 8.0%). Opus and Sonnet run every decode step and all four layers in one cooperative launch. Haiku launches 29 small kernels per step from the host, so short contexts are launch-bound; at 128K it streams the cache as fast as the others. Kernel: https://t.co/aFaRmfYVbl Trace: https://t.co/DevbUBGTeOview source ↗
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Native Sparse Attention, 0.98 ms geomean, 7th of 15 (Opus 5.5: 0.090 ms, Sonnet 5.5: 0.072 ms). Exact block selection and attention, but in plain fp32 on CUDA cores, one warp per query re-reading K and V from memory. Sonnet does the same selection on tensor cores, about 14x faster. Kernel: https://t.co/XhFOUC8nIC Trac… Native Sparse Attention, 0.98 ms geomean, 7th of 15 (Opus 5.5: 0.090 ms, Sonnet 5.5: 0.072 ms). Exact block selection and attention, but in plain fp32 on CUDA cores, one warp per query re-reading K and V from memory. Sonnet does the same selection on tensor cores, about 14x faster. Kernel: https://t.co/XhFOUC8nIC Trace: https://t.co/VbFEMpH1INview source ↗
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guys, we ran out of football snack recipes… please drop yours in the replies guys, we ran out of football snack recipes… please drop yours in the repliesview source ↗
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Fused MoE, 9.5% of roofline, 8th of 21 (Opus 5.5: 10.4%, Sonnet 5.5 leads at 11.3%). Same structure as both: sort tokens by expert, two grouped bf16 tensor-core GEMMs with SiLU-times-up fused into the first. Haiku skips the small-group tiling and fused combine, and runs the single-token decode shape through the same 12… Fused MoE, 9.5% of roofline, 8th of 21 (Opus 5.5: 10.4%, Sonnet 5.5 leads at 11.3%). Same structure as both: sort tokens by expert, two grouped bf16 tensor-core GEMMs with SiLU-times-up fused into the first. Haiku skips the small-group tiling and fused combine, and runs the single-token decode shape through the same 128-row tiles. Board: https://t.co/BiHtR9p04C Kernel: https://t.co/8T9P9SoYGn Trace: https://t.co/YZ3fBJCo4mview source ↗
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Claude Haiku 5.5 [max] on KernelBench-CUDA: Four hand-written CUDA kernels passed their final checks on RTX PRO 6000, all mid-board: 8th, 7th, 11th and 10th. Haiku picks the same plans as Opus 5.5 and Sonnet 5.5 but stops at the first working version: no tensor cores outside the MoE, and many small launches where the … Claude Haiku 5.5 [max] on KernelBench-CUDA: Four hand-written CUDA kernels passed their final checks on RTX PRO 6000, all mid-board: 8th, 7th, 11th and 10th. Haiku picks the same plans as Opus 5.5 and Sonnet 5.5 but stops at the first working version: no tensor cores outside the MoE, and many small launches where the bigger models fuse into one. On Mega it wrote no kernel. Its second session ended on Claude Code's 128K output-token cap. One problem per reply below.view source ↗
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Coding agents move fast. Keeping their work auditable is the hard part. Brigade is a local file-first control plane for teams coordinating coding agents across tools, repos, and sessions. It helps you keep work trackable by organizing tasks, verification receipts, shared memory, and tool configuration around the agen… Coding agents move fast. Keeping their work auditable is the hard part. Brigade is a local file-first control plane for teams coordinating coding agents across tools, repos, and sessions. It helps you keep work trackable by organizing tasks, verification receipts, shared memory, and tool configuration around the agent workflow. Key features: • Ready-work claims – lists unblocked tasks and uses atomic claims to prevent two agents taking the same item • Verification receipts – records the command, real exit code, and Git state when a check runs through Brigade • Owner-mediated handoffs – routes memory notes through an owner policy, with ambiguous or risky notes waiting for review • Dry-run-first projection – previews MCP servers, tools, and skills before writing them into an agent harness • Local-first operation – uses a machine-local JSON work ledger, with no daemon required for ordinary use It’s open-source (MIT license). Link in the reply 👇view source ↗
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Secretary Bessent lays out Trump admin's "absolute isolation campaign" against Iran that's designed to squeeze Tehran's leadership and the country's wealthy elites. "They can't go see their relatives in London, their girlfriends in Paris, or their money in Switzerland," Bessent says. He adds that the U.S. is continui… Secretary Bessent lays out Trump admin's "absolute isolation campaign" against Iran that's designed to squeeze Tehran's leadership and the country's wealthy elites. "They can't go see their relatives in London, their girlfriends in Paris, or their money in Switzerland," Bessent says. He adds that the U.S. is continuing maritime interdictions and cryptocurrency seizures, while arguing that Iran cannot stop oil shipments through the Strait of Hormuz. | @foxandfriendsview source ↗
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POV: When your reflexes are faster than your punches! https://t.co/Ajlc876ThK POV: When your reflexes are faster than your punches! https://t.co/Ajlc876ThKview source ↗
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⚡️ Zelensky tells ABC that he will allow elections in Ukraine, but ONLY if Russia agrees to a 60-day ceasefire https://t.co/bOCfkSuJ2d ⚡️ Zelensky tells ABC that he will allow elections in Ukraine, but ONLY if Russia agrees to a 60-day ceasefire https://t.co/bOCfkSuJ2dview source ↗
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https://t.co/6qwb8cjRUV https://t.co/6qwb8cjRUVview source ↗
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HE’S DONE IT 👏 MAX VERSTAPPEN WINS THE SINGAPORE GRAND PRIX!!!!! HE’S DONE IT 👏 MAX VERSTAPPEN WINS THE SINGAPORE GRAND PRIX!!!!!view source ↗
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19 year old self taught coder built a cross exchange arbitrage bot with Claude Code in 36 hours. Used a $40 VPS and free APIs. First night: $2,180 profit. Starting capital: $52. Total so far: $186,000. The bot watches 40+ pairs across Binance, Bybit and OKX every 800ms. It only enters when the price gap is already c… 19 year old self taught coder built a cross exchange arbitrage bot with Claude Code in 36 hours. Used a $40 VPS and free APIs. First night: $2,180 profit. Starting capital: $52. Total so far: $186,000. The bot watches 40+ pairs across Binance, Bybit and OKX every 800ms. It only enters when the price gap is already confirmed on one exchange and still open on another. No prediction. No chart watching. Just speed. He wrote the full logic in Claude Code, connected the APIs, and let it run. Most people are still manually checking charts. This setup finds the gap and exits before the spread closes. I'm giving the exact Claude Code prompt + setup for free (24 hours). 1. Comment " ARB " 2. Like & RT 3. Follow @monicaa_AI so I can DM it.view source ↗
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I’m really trying to pretend this is true so RC doesn’t get steamrolled, but the more I think about it, the less I buy it. 1. Historically, the production of many types of goods have decreased dramatically in complexity and it didn’t transition to everyone just building it themselves. When electric tools were invented… I’m really trying to pretend this is true so RC doesn’t get steamrolled, but the more I think about it, the less I buy it. 1. Historically, the production of many types of goods have decreased dramatically in complexity and it didn’t transition to everyone just building it themselves. When electric tools were invented, did everyone transition to making their own furniture? Did the word processor end the book industry? Did the camera end the art industry? None of these quite match what we’re seeing but I haven’t found a case where humans have de-specialized. 2. Most consumers are exactly that, consumers. They are much lower agency than your average software person, probably lower creativity, and aren’t going to start building their own novel solutions to problems all of a sudden. Perhaps the models get so good they can do it somewhat transparently, but that would still require dictating requirements to the models, which itself is not something most consumers will be great at. And part of making “good” software is being opinionated. Models, due to the efforts of alignment, are limited in what they can say no to. The user asks for something that makes the software worse? “You’re absolutely right!” I’m not sure that taste and alignment are fully compatible. 3. Nothing ever happens. I think software will evolve, and what was a successful app three years ago will be very different three years from now, but it just doesn’t seem likely that after 10,000 years of increasing specialization and craftsmanship, humans will just resort to self reliance all of sudden. We want the expert opinion of other humans. We are interested in novel tools and experiences. Software products often bring with them community and identity that won’t go away. I just think an amplified version of the current trajectory more plausible than a complete reversal. Tell me why I’m wrong!view source ↗
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DM me if you want an affiliate DM me if you want an affiliateview source ↗
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A clever little life hack 😂 https://t.co/TjefxjeOjM A clever little life hack 😂 https://t.co/TjefxjeOjMview source ↗
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time to drop the NUCLEAR BOMB ☢️ @Remzztrades and @SRxTrades TOGETHER used to FRONTLOAD TRADES and sell for a PREMIUM SPIKE IV PUMP after thousands of combined MEMBERS and followers buy in‼️!!!! sometimes even @TLAMB91 "Remz is that your flow on the tape???" for more volume (these 3 had a SECRET group chat) made I… time to drop the NUCLEAR BOMB ☢️ @Remzztrades and @SRxTrades TOGETHER used to FRONTLOAD TRADES and sell for a PREMIUM SPIKE IV PUMP after thousands of combined MEMBERS and followers buy in‼️!!!! sometimes even @TLAMB91 "Remz is that your flow on the tape???" for more volume (these 3 had a SECRET group chat) made ILLEGAL MILLIONS FAST "THEIR BEST TRADING QUARTER" (just like @OptionsBuffett but on bigger scale)+ (more lowkey) less obvious ⚠️ BID/ASK HELD UP / PUMPEDN by TITO and tung tung @OhMyOhMar (2 small co-conspirators) or under the name of "flow" with @snorlax_uw /@TLAMB91 as mentioned after *SUMMER* there group chat and collabs got fizzled out because they were all junk 🪦 🥀 @Remzztrades CANT PUMP ANYMORE ITS BEEN 70 DAYS $0 PROFIT ALL LOSSES while EVERYTHING IS making new highs 😂 THEY lost all the juice.i RAN THEM out of business whichs why he struggling now his family living of your STOLEN DISPUTED SUB $🤮 🐖 (same as jacob macias @OptionsBuffett) karma really do come in different ways... SRX TRADES (lavender relationship for content, he thought no one would take a gay trader serious ) nasty people, gross fathers, no Rizz no SkyBri like Malone no Aura just some dorks with new stolen money CURRENT CONCLUSION: as for @SRxTrades he is currently trying to be more authentic and take legit safe SHARE STOCK trades with stolen funds sitting in his webull used for content farm for @TheOptionCartel yes SHARE TRADES in $200mo OPTIONS CARTEL @WHOP +4.3% move up on $coin levered shares off the stolen $ in webull = 90k for sean + 200K @whop = trip to europe, buying cars unlimited content recycling for Sean Ritchmen ♻️ can this guy really help any small accounts like i do ?? he scammed his way up to the top as for Jay the Tank Macias (@OptionsBUFFET) SEC DOJ will AUCTION his SVJ by 2027📝🧾. 25k mortgage, you dont have to do anything 😊 as for REMZ stop subbing to his course & his family will struggle to eat by late 2028 TITO +OMAR too (they fake revieview source ↗
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this app is going really viral on tiktok but i’m not sure how legal it is https://t.co/9MjtLpx6O6 this app is going really viral on tiktok but i’m not sure how legal it is https://t.co/9MjtLpx6O6view source ↗
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turned: - 15y of figuring out what actually works for health - 1 MSc Degree - 4000 PT sessions - 15000h of study into a free Blueprint covering: training nutrition busy weeks case studies resources systems evidence K turned: - 15y of figuring out what actually works for health - 1 MSc Degree - 4000 PT sessions - 15000h of study into a free Blueprint covering: training nutrition busy weeks case studies resources systems evidence Kview source ↗
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Claude 🙂↕️… 12 hours of practice https://t.co/f3xWWHNfzU Claude 🙂↕️… 12 hours of practice https://t.co/f3xWWHNfzUview source ↗
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OPEN-SOURCE GITHUB PROJECTS FOR BUILDING AI AGENT MEMORY An AI agent that forgets everything between sessions has a serious limitation. These 10 projects explore how to help agents remember, retrieve, and use information over time. 1. Mem0 ↳ https://t.co/arkWqTDdw9 Add persistent memory to AI applications and rememb… OPEN-SOURCE GITHUB PROJECTS FOR BUILDING AI AGENT MEMORY An AI agent that forgets everything between sessions has a serious limitation. These 10 projects explore how to help agents remember, retrieve, and use information over time. 1. Mem0 ↳ https://t.co/arkWqTDdw9 Add persistent memory to AI applications and remember useful user context. 2. Hindsight ↳ https://t.co/XotUrjxRz0… Build memory systems around retaining, recalling, and reflecting on information. 3. memU ↳ https://t.co/EKm5VbYp2m… Explore memory infrastructure designed for AI agents and ongoing interactions. Kview source ↗