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19054
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across 19 keywords
across 19 keywords
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+24%
5899 positive
11726 neutral
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May 13 – Oct 17, 2026 · 4-day buckets
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claude / pricing
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mentions
Showing 11826–11850 of 18753 mentions
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Like Jev, I believe RL will unlock several more like this, slashing the cost of critical agent operations. flow-1 is competitive in performance, but a huge cost-saver for finding failures in agent traces. RSI doesn't only apply to general intelligence. It will equally accelerate specialized intelligence. Like Jev, I believe RL will unlock several more like this, slashing the cost of critical agent operations. flow-1 is competitive in performance, but a huge cost-saver for finding failures in agent traces. RSI doesn't only apply to general intelligence. It will equally accelerate specialized intelligence.view source ↗
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Riot told me to take down my game. I told Opus "remove their IP and make it 10x better." turns out the League of Legends part was holding it back. thanks rito https://t.co/qVRqk3gNn5 Riot told me to take down my game. I told Opus "remove their IP and make it 10x better." turns out the League of Legends part was holding it back. thanks rito https://t.co/qVRqk3gNn5view source ↗
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Exploring motion for a new branding project https://t.co/OMTSNO3qGy Exploring motion for a new branding project https://t.co/OMTSNO3qGyview source ↗
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What do you most want AI to get better at? What do you most want AI to get better at?view source ↗
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Good things are worth the wait. Good things are worth the wait.view source ↗
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Parents spend months trying to get their baby’s first word to be ‘Mama’ or ‘Dada.’ This book is for parents with bigger dreams. I’m proud to be partnering with @MLB for YOUR BABY’S FIRST WORD WILL BE YANKEES and YOUR BABY’S FIRST WORD WILL BE DODGERS (words by me, art by Miguel Ordóñez) Available for preorder now! Mo… Parents spend months trying to get their baby’s first word to be ‘Mama’ or ‘Dada.’ This book is for parents with bigger dreams. I’m proud to be partnering with @MLB for YOUR BABY’S FIRST WORD WILL BE YANKEES and YOUR BABY’S FIRST WORD WILL BE DODGERS (words by me, art by Miguel Ordóñez) Available for preorder now! More information on how to preorder at the link in bio.view source ↗
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The theme compatibility is the coolest part. Your agent can use the css variables for your selected theme, so the visualization should always match your app :) https://t.co/bmddBAR7Tz The theme compatibility is the coolest part. Your agent can use the css variables for your selected theme, so the visualization should always match your app :) https://t.co/bmddBAR7Tzview source ↗
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RT @FeatherlessAI: Jev Hack/Demo Night in SF was a packed room! What got demoed: - @Richelle_Ji (Featherless) ranked ~2,000 SF Tech Week e… RT @FeatherlessAI: Jev Hack/Demo Night in SF was a packed room! What got demoed: - @Richelle_Ji (Featherless) ranked ~2,000 SF Tech Week e…view source ↗
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Elon Musk: It is possible for ordinary people to choose to be extraordinary. https://t.co/K8g7pXSPRC Elon Musk: It is possible for ordinary people to choose to be extraordinary. https://t.co/K8g7pXSPRCview source ↗
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Keep working. You will achieve great things. Keep working. You will achieve great things.view source ↗
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RT @Sarah___Fan: 100+ people made posts about our event for SF @Techweek_ not a UGC campaign. 100% organic https://t.co/iXhJHd3H4Z RT @Sarah___Fan: 100+ people made posts about our event for SF @Techweek_ not a UGC campaign. 100% organic https://t.co/iXhJHd3H4Zview source ↗
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RT @novita_labs: Meet the exhibitors at our SF Tech Week event, "Open Source AI Stack: Models, Inference, and Agent Harness." @CommandCode… RT @novita_labs: Meet the exhibitors at our SF Tech Week event, "Open Source AI Stack: Models, Inference, and Agent Harness." @CommandCode…view source ↗
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we’re hiring product engineers at @collectpure Series A • $1B+ processed • $75M+ monthly GMV we’re building the first transparent, two-way marketplace for precious metals, with live orderbooks where buyers and sellers can see prices and trade directly. we recently built out a Class 3 vault and a vault platform to ma… we’re hiring product engineers at @collectpure Series A • $1B+ processed • $75M+ monthly GMV we’re building the first transparent, two-way marketplace for precious metals, with live orderbooks where buyers and sellers can see prices and trade directly. we recently built out a Class 3 vault and a vault platform to manage the storage, ownership, and movement of high-value physical assets. small team, real ownership. you’ll take core systems from idea to production: - orderbooks and matching systems - payments, ledgers, and reconciliation - postgres scaling and data integrity - vault operations, inventory, and asset transfers - ownership records, immutable ledgers, and audit trails you’ll help decide what we build, own how it works, and ship quickly. these systems handle real customer money and assets. looking for people with speed, taste, and high agency. LA or remote interested, or know someone who might be? reach out directly or the link below.view source ↗
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this is extremely powerful this is extremely powerfulview source ↗
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https://t.co/U7BCk9zc7i https://t.co/U7BCk9zc7iview source ↗
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LaMelo shows off the handles and sinks the jumper 👏 Watch @MELOD1P in his @Timberwolves preseason debut on NBA League Pass! https://t.co/cgQEmzAamq LaMelo shows off the handles and sinks the jumper 👏 Watch @MELOD1P in his @Timberwolves preseason debut on NBA League Pass! https://t.co/cgQEmzAamqview source ↗
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for my main app here’s my stats: ( I launched this 2 months ago ) -14,000 downloads -3M views -80% prof margin - 5-6 main clippers anyone can do this btw. for my main app here’s my stats: ( I launched this 2 months ago ) -14,000 downloads -3M views -80% prof margin - 5-6 main clippers anyone can do this btw.view source ↗
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@davis7 Your agent is given CSS style tokens that work with your theme as well :) https://t.co/gNbDY57lkC @davis7 Your agent is given CSS style tokens that work with your theme as well :) https://t.co/gNbDY57lkCview source ↗
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if anybody has tried to launch an ai character and has failed this is probably what you're doing wrong: - make sure your account is warmed up, so many people just go raw dog a new account and get pissed when they get 0 views. - engage with all of these other ai avatar accounts so your content fits right in with them -… if anybody has tried to launch an ai character and has failed this is probably what you're doing wrong: - make sure your account is warmed up, so many people just go raw dog a new account and get pissed when they get 0 views. - engage with all of these other ai avatar accounts so your content fits right in with them - dont just swap in one viral video and expect it go viral, you have to think through why this post went viral. me as a d1 scroller, for every viral video i find, i check WHY it went viral. i look through the comments what certain thing was it that triggered people. you have to go that deep - expect the worst, you see everybody else going viral in 2 days and expect to go viral as well. it does NOT work that way. i can tell you this, most of the accounts doing good right now either tried this on a different account OR have multiple accounts running. thats all for now.view source ↗
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hey @stripe feature request: a "refund minus processing fee" option in the cancel subscription modal would save my day! https://t.co/425Te44o89 hey @stripe feature request: a "refund minus processing fee" option in the cancel subscription modal would save my day! https://t.co/425Te44o89view source ↗
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New: @𝚓𝚜𝚘𝚗-𝚛𝚎𝚗𝚍𝚎𝚛/𝚝𝚊𝚗𝚜𝚝𝚊𝚌𝚔-𝚜𝚝𝚊𝚛𝚝 TanStack Start apps from JSON specs Define your components and data loaders AI composes pages and layouts, with routing and SSR For website builders, CMS-driven sites and customer portals with customizable pages https://t.co/9DL8Tdtz6h New: @𝚓𝚜𝚘𝚗-𝚛𝚎𝚗𝚍𝚎𝚛/𝚝𝚊𝚗𝚜𝚝𝚊𝚌𝚔-𝚜𝚝𝚊𝚛𝚝 TanStack Start apps from JSON specs Define your components and data loaders AI composes pages and layouts, with routing and SSR For website builders, CMS-driven sites and customer portals with customizable pages https://t.co/9DL8Tdtz6hview source ↗
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We just shipped in-app visualization capabilities in T3 Code. This enables agents to build cool dynamic experiences within the thread. Huge shoutout to @davis7 for pushing us on this (and building most of it). Didn't expect to dig it so much. https://t.co/Xj8u1c2mT6 We just shipped in-app visualization capabilities in T3 Code. This enables agents to build cool dynamic experiences within the thread. Huge shoutout to @davis7 for pushing us on this (and building most of it). Didn't expect to dig it so much. https://t.co/Xj8u1c2mT6view source ↗
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Evergreen Evergreenview source ↗
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The same 111GB Qwen3.8-Flash-Next model file. The same 2016 Xeon. The same single V100. But roughly twice the decode speed. Qwen3.8-Flash-Next UD-Q4_K_XL is getting around: ~20 tok/s with Strata versus ~9 tok/s with llama.cpp Same box. Same model file. Same GPU. That’s the part I find interesting. The V100 is n… The same 111GB Qwen3.8-Flash-Next model file. The same 2016 Xeon. The same single V100. But roughly twice the decode speed. Qwen3.8-Flash-Next UD-Q4_K_XL is getting around: ~20 tok/s with Strata versus ~9 tok/s with llama.cpp Same box. Same model file. Same GPU. That’s the part I find interesting. The V100 is not exactly new hardware. It’s a 2018-era Volta accelerator with 16GB of HBM2, and the host machine is running a 2016 Xeon. Yet we’re still getting usable throughput from a 111GB MoE model. Obviously, the entire model isn’t sitting inside the V100. That’s where the setup gets interesting. Qwen3.8-Flash-Next is a huge MoE model, so the inference system can keep the GPU busy with the active computation while the rest of the experts live in system RAM. You’re effectively turning the machine into a memory hierarchy: GPU HBM for the hot path. System RAM for the much larger expert pool. CPU and memory bandwidth become part of the inference engine rather than just “extra storage.” And that’s where Strata appears to be making a difference. The model file hasn’t changed. The quantization hasn’t changed. The GPU hasn’t changed. The runtime is simply doing a better job of handling this particular architecture and memory layout. ~20 tok/s from a 111GB model on a single V100 is already interesting. Getting roughly 2× the throughput of the same workload through llama.cpp is even more interesting. It reinforces something I’ve been seeing repeatedly with Qwen3.8-Flash-Next: The model’s theoretical parameter count tells you surprisingly little about how it will actually run on a given machine. What matters is: How many parameters are active? Where are the experts stored? How quickly can they move between RAM and VRAM? How efficiently does the runtime schedule them? How much computation can be kept on the GPU? How well does the inference engine exploit speculative decoding and caching? And how much overhead does the memory hierarchy introduce?view source ↗
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RT @megadevhq: "JS went from a language for editing things in a page to a thing you can use to build whatever you want to make because node… RT @megadevhq: "JS went from a language for editing things in a page to a thing you can use to build whatever you want to make because node…view source ↗