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"My token usage is probably down 30x compared to before.” Tim Davis, Co-Founder & President Modular on why he builds AI tooling locally first: “Token usage is incredibly expensive. If you just throw your whole codebase into a model, you’re constantly uploading everything and burning hundreds of thousands or... show more

Forward Future

6,071 subscribers

65,173 次观看 • 5 个月前 •via X (Twitter)

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Building AI agents and tools is getting ridiculously easy! Here is a pretty impressive FREE and Open-Source AI agent builder that runs on your computer. It's a desktop app you can install on Mac or Windows. Link: • Free • 100% no-code: You can type what you want, and the tool will build everything for you. • You can use local models like DeepSeek or Qwen, or connect to cloud models like GPT-4o, Claude, or Gemini with your API key. • You can turn the tools you build into MCP Servers. I recorded a quick video to show you how easy it is to build something from scratch.

Building AI agents and tools is getting ridiculously easy! Here is a pretty impressive FREE and Open-Source AI agent builder that runs on your computer. It's a desktop app you can install on Mac or Windows. Link: • Free • 100% no-code: You can type what you want, and the tool will build everything for you. • You can use local models like DeepSeek or Qwen, or connect to cloud models like GPT-4o, Claude, or Gemini with your API key. • You can turn the tools you build into MCP Servers. I recorded a quick video to show you how easy it is to build something from scratch.

Santiago

56,815 次观看 • 1 年前

how you can use openAI codex & gpt 5.5 completely FREE (the full guide) 100% legit. no subscription, zero API cost. up to 1M+ token/day. you need just an openAI account and here's how to set it up in 5mins. openAI has a program that gives eligible developers free API usage every day in exchange for sharing API data that helps improve future models. it's not a one-time credit, your allowance refreshes daily. depending on your usage tier, you can get access to hundreds of thousands, or even millions, of free tokens every single day on supported models. here's how to activate it: 1️⃣open your API dashboard: 2️⃣go to settings → data controls 3️⃣enable data sharing for your organization or project 4️⃣make sure your account has a positive API balance 5️⃣save the settings if your account is eligible, you'll see a message confirming access to complimentary daily usage. before you turn it on, know the tradeoff: • prompts and outputs from shared projects can be used to improve openai's models • don't use it for confidential information, client work, or sensitive data • eligibility depends on your account type and settings for everyone else, it's an incredible deal. use it to: • learn AI development • build side projects • experiment with codex • test agents and automations • prototype ideas without worrying about API costs most developers burn money testing ideas. this lets you experiment at scale while spending little to nothing.

how you can use openAI codex & gpt 5.5 completely FREE (the full guide) 100% legit. no subscription, zero API cost. up to 1M+ token/day. you need just an openAI account and here's how to set it up in 5mins. openAI has a program that gives eligible developers free API usage every day in exchange for sharing API data that helps improve future models. it's not a one-time credit, your allowance refreshes daily. depending on your usage tier, you can get access to hundreds of thousands, or even millions, of free tokens every single day on supported models. here's how to activate it: 1️⃣open your API dashboard: 2️⃣go to settings → data controls 3️⃣enable data sharing for your organization or project 4️⃣make sure your account has a positive API balance 5️⃣save the settings if your account is eligible, you'll see a message confirming access to complimentary daily usage. before you turn it on, know the tradeoff: • prompts and outputs from shared projects can be used to improve openai's models • don't use it for confidential information, client work, or sensitive data • eligibility depends on your account type and settings for everyone else, it's an incredible deal. use it to: • learn AI development • build side projects • experiment with codex • test agents and automations • prototype ideas without worrying about API costs most developers burn money testing ideas. this lets you experiment at scale while spending little to nothing.

m0h

68,972 次观看 • 1 个月前

Boris Cherny, the creator of Claude Code at Anthropic, just listed 9 patterns that waste 73% of your tokens. in this podcast he breaks down exactly how the model burns tokens before it even reads your prompt: - the 14% you lose to CLAUDE.md before typing a word - the 13% you pay re-reading old chat history - the 11% from hooks you forgot you installed - why most "Claude got dumber" complaints are wrong if you're hitting Max limits more than once a week, you have at least 4 of these. Probably 7. instead of another show tonight, watch this. my own breakdown based on 400+ hours of usage is below, read it after the podcast

Boris Cherny, the creator of Claude Code at Anthropic, just listed 9 patterns that waste 73% of your tokens. in this podcast he breaks down exactly how the model burns tokens before it even reads your prompt: - the 14% you lose to CLAUDE.md before typing a word - the 13% you pay re-reading old chat history - the 11% from hooks you forgot you installed - why most "Claude got dumber" complaints are wrong if you're hitting Max limits more than once a week, you have at least 4 of these. Probably 7. instead of another show tonight, watch this. my own breakdown based on 400+ hours of usage is below, read it after the podcast

Mnimiy

1,378,515 次观看 • 2 个月前

PM Carney on Trump's 51st state post impacting trade negotiations: "The president is an exceptionally active user of social media. You probably can chart his usage of it. It's only gone up in recent months and we're not going to respond or react to everything that he posts."

PM Carney on Trump's 51st state post impacting trade negotiations: "The president is an exceptionally active user of social media. You probably can chart his usage of it. It's only gone up in recent months and we're not going to respond or react to everything that he posts."

Scott Robertson

156,101 次观看 • 1 个月前

BREAKING: Zach Dell (Zach Dell) CEO of Base Power says " Chinese models are going to overtake domestic models in usage." "I spend a lot of my time thinking about energy, the country, & our ability to consume, generate, store, sell electricity. And I spend a lot of time thinking about China & their ability to produce & consume electricity. One thing that has been interesting to me is Chinese tokens & the rate at which they're being generated & the cost. My hot take is that Chinese models are going to overtake domestic models in terms of usage. If you look at platforms like OpenRouter & other online platforms where you can track model usage, I think the Chinese are gonna continue investing incredibly heavily in energy production. They're going to capture the Watt flop or the Watt token spread by turning a lot of that energy into compute. And that's gonna drive massive amount of usage in Chinese models, which just means we have to go faster. The US energy infrastructure industry has to go faster. We have to build power faster. We have to develop compute infrastructure faster. We must accelerate." "We're here at Hill & Valley, which has me feeling awfully patriotic." Base Power at Hill & Valley Forum 2026 (The Hill & Valley Forum)

BREAKING: Zach Dell (Zach Dell) CEO of Base Power says " Chinese models are going to overtake domestic models in usage." "I spend a lot of my time thinking about energy, the country, & our ability to consume, generate, store, sell electricity. And I spend a lot of time thinking about China & their ability to produce & consume electricity. One thing that has been interesting to me is Chinese tokens & the rate at which they're being generated & the cost. My hot take is that Chinese models are going to overtake domestic models in terms of usage. If you look at platforms like OpenRouter & other online platforms where you can track model usage, I think the Chinese are gonna continue investing incredibly heavily in energy production. They're going to capture the Watt flop or the Watt token spread by turning a lot of that energy into compute. And that's gonna drive massive amount of usage in Chinese models, which just means we have to go faster. The US energy infrastructure industry has to go faster. We have to build power faster. We have to develop compute infrastructure faster. We must accelerate." "We're here at Hill & Valley, which has me feeling awfully patriotic." Base Power at Hill & Valley Forum 2026 (The Hill & Valley Forum)

Molly O’Shea

41,529 次观看 • 4 个月前

Dylan on why access to the most intelligent AI models will determine who wins in every industry: "What really matters is access to the most intelligent tokens and leveraging them at the highest-value tasks. A lot of folks will want tokens, but the shitty SaaS startup in SF who is using Claude is not necessarily creating a ton of value, and therefore they're going to get priced out of tokens. Anthropic only released Mythos to certain companies for cybersecurity. You also don't want people to distill your model so you release them to a fewer and fewer customers. Those customers are now wrestling over the tokens. Token usage and therefore the additional value generated on top of those tokens aggregates among fewer and fewer companies. I don't have Mythos but you know who has Mythos, top banks. There are people like Ken Griffin of Citadel who can just sign a deal with OpenAI or Antrhopic for access to your models. I'll buy the first $10 billion worth of tokens each year. So whenever you release the model, I'll spend the first 10 billion tokens and then everyone else can get the model after that. Now, he's going to crush everyone in the markets. I can envision because I have an enterprise Anthropic contract and Anthropic people like me, they're willing to give us slightly earlier access or higher rate limits, and then my competitor doesn't have that, and I'm able to f*cking crush them."

Dylan on why access to the most intelligent AI models will determine who wins in every industry: "What really matters is access to the most intelligent tokens and leveraging them at the highest-value tasks. A lot of folks will want tokens, but the shitty SaaS startup in SF who is using Claude is not necessarily creating a ton of value, and therefore they're going to get priced out of tokens. Anthropic only released Mythos to certain companies for cybersecurity. You also don't want people to distill your model so you release them to a fewer and fewer customers. Those customers are now wrestling over the tokens. Token usage and therefore the additional value generated on top of those tokens aggregates among fewer and fewer companies. I don't have Mythos but you know who has Mythos, top banks. There are people like Ken Griffin of Citadel who can just sign a deal with OpenAI or Antrhopic for access to your models. I'll buy the first $10 billion worth of tokens each year. So whenever you release the model, I'll spend the first 10 billion tokens and then everyone else can get the model after that. Now, he's going to crush everyone in the markets. I can envision because I have an enterprise Anthropic contract and Anthropic people like me, they're willing to give us slightly earlier access or higher rate limits, and then my competitor doesn't have that, and I'm able to f*cking crush them."

Patrick OShaughnessy

36,100 次观看 • 3 个月前

Day 5 of why you need to use Jupiter Mobile: TRUSTED TOKEN DATA & INSIGHTS See trusted, verified token data + a clean feed of relevant content in Jupiter Mobile Token Pro’s ‘About’ section – powered by VRFD, Jupiter’s verified data layer for token information and insights. Onchain finance has never had a reliable source of truth for token information. Most wallets surface raw links or leave you to dig through socials and explorers. Instead, you get: - Simple summaries explaining what the token is and what’s currently happening - A clean feed of verified community insights, not random noise - Verified token metadata with direct links to official websites and socials If a token is covered by VRFD, you see community-validated information. If it isn’t, the full project X feed is surfaced automatically, so you still have full context. What used to take digging across multiple pages now lives directly on the token page. Just Use Jupiter (Mobile).

Day 5 of why you need to use Jupiter Mobile: TRUSTED TOKEN DATA & INSIGHTS See trusted, verified token data + a clean feed of relevant content in Jupiter Mobile Token Pro’s ‘About’ section – powered by VRFD, Jupiter’s verified data layer for token information and insights. Onchain finance has never had a reliable source of truth for token information. Most wallets surface raw links or leave you to dig through socials and explorers. Instead, you get: - Simple summaries explaining what the token is and what’s currently happening - A clean feed of verified community insights, not random noise - Verified token metadata with direct links to official websites and socials If a token is covered by VRFD, you see community-validated information. If it isn’t, the full project X feed is surfaced automatically, so you still have full context. What used to take digging across multiple pages now lives directly on the token page. Just Use Jupiter (Mobile).

Jupiter

239,435 次观看 • 6 个月前

OpenAI chairman Bret Taylor talks to about 100 CEOs every month. His answer to the cheap open-weight model panic: cheaper to train does not mean cheaper to use, and the number that decides it is token efficiency. "One thing that I think is a little bit overblown about these open weight models is they're not necessarily cheaper to run. Whether or not they're cheaper to train, you don't care. Because you're using just as many tokens. In fact, they may be less efficient." "There's this thing called token efficiency. And it turns out the frontier models are much, much more token efficient." "A token is to intelligence like a watt is to electricity... how many tokens does it take to complete a task? Not every token is actually equal." "For a lot of tasks, it turns out these frontier models from OpenAI and Anthropic are actually just better than these open weight models... just having open weights isn't actually the main thing driving any of those costs." Later in the same interview he goes after the billing unit itself: "It would be like if you signed up for Gmail and you paid for CPU cycle or something... where the world is going is paying for outcomes." The unresolved column: the chart CNBC airs mid-answer, from Artificial Analysis, prices a completed task at $0.94 on Kimi K3 against $2.75 on Claude Fable 5, efficiency folded in. If that gap holds, the premium he is defending gets earned on quality, not price. - Bret Taylor (Bret Taylor), OpenAI chairman and Sierra co-founder, on CNBC's Squawk Box.

OpenAI chairman Bret Taylor talks to about 100 CEOs every month. His answer to the cheap open-weight model panic: cheaper to train does not mean cheaper to use, and the number that decides it is token efficiency. "One thing that I think is a little bit overblown about these open weight models is they're not necessarily cheaper to run. Whether or not they're cheaper to train, you don't care. Because you're using just as many tokens. In fact, they may be less efficient." "There's this thing called token efficiency. And it turns out the frontier models are much, much more token efficient." "A token is to intelligence like a watt is to electricity... how many tokens does it take to complete a task? Not every token is actually equal." "For a lot of tasks, it turns out these frontier models from OpenAI and Anthropic are actually just better than these open weight models... just having open weights isn't actually the main thing driving any of those costs." Later in the same interview he goes after the billing unit itself: "It would be like if you signed up for Gmail and you paid for CPU cycle or something... where the world is going is paying for outcomes." The unresolved column: the chart CNBC airs mid-answer, from Artificial Analysis, prices a completed task at $0.94 on Kimi K3 against $2.75 on Claude Fable 5, efficiency folded in. If that gap holds, the premium he is defending gets earned on quality, not price. - Bret Taylor (Bret Taylor), OpenAI chairman and Sierra co-founder, on CNBC's Squawk Box.

Karl Mehta

16,614 次观看 • 3 天前

YC Managing Partner Harj Taggar says many young founders are still too conservative with token spend and advises them to not skimp on token budget. "Token spend is more like rent. You don't say, 'I'm not moving to San Francisco to build my tech startup because the rent's expensive.' Yes, it's expensive, but it's the place to be. You don't conserve on that. You actually want to spend money on that. There's other things you save money on." "Many of the founders, especially if they're younger, just don't have the budgets to use the latest models and be cost insensitive and token-max. They're just used to conserving and trying to do more with less." "Internally, we wonder if there's some training to push the founders to spend more on tokens because maybe they're thinking about tokens as something you should conserve spend on."

YC Managing Partner Harj Taggar says many young founders are still too conservative with token spend and advises them to not skimp on token budget. "Token spend is more like rent. You don't say, 'I'm not moving to San Francisco to build my tech startup because the rent's expensive.' Yes, it's expensive, but it's the place to be. You don't conserve on that. You actually want to spend money on that. There's other things you save money on." "Many of the founders, especially if they're younger, just don't have the budgets to use the latest models and be cost insensitive and token-max. They're just used to conserving and trying to do more with less." "Internally, we wonder if there's some training to push the founders to spend more on tokens because maybe they're thinking about tokens as something you should conserve spend on."

TBPN

64,982 次观看 • 1 个月前

David Sacks says companies are trapped paying OpenAI & Anthropic because they can't figure out how to use open source models "I think enterprise CTOs would like to shift their token consumption to cheaper models for the obvious reason that it would be more efficient. They are seeing compute costs or token costs skyrocket right now, so everyone's trying to figure this out." "You also have the AI sovereignty issue that Alex Karp talked about. They're worried about giving up the secret sauce or the alpha in their business to a frontier lab that may one day be competing with them. "The problem is, I think in most cases, they don't have the technical ability to do it. Coinbase figured out how to do it. DoorDash figured out how to do it. They built a token routing system that allows them to send frontier tasks to frontier models and non frontier tasks to more mundane models. But I don't think your average enterprise has the technical capability to do that." "This is why the share of wallet of closed models, it actually increased. I think that open source went from 19% last year to 11% this year. So open source as a share of enterprise spending is actually decreasing." "I don't think that means usage is decreasing. I think usage is skyrocketing. It also may be the case that because the whole point of using an open model is you just pay for the compute costs, you don't have to pay a lab, so it may be that it's hard to measure that usage in terms of spend." "But nonetheless, anyone who's saying that these closed models are going to lose or are somehow losing, you're just not seeing it in the data."

David Sacks says companies are trapped paying OpenAI & Anthropic because they can't figure out how to use open source models "I think enterprise CTOs would like to shift their token consumption to cheaper models for the obvious reason that it would be more efficient. They are seeing compute costs or token costs skyrocket right now, so everyone's trying to figure this out." "You also have the AI sovereignty issue that Alex Karp talked about. They're worried about giving up the secret sauce or the alpha in their business to a frontier lab that may one day be competing with them. "The problem is, I think in most cases, they don't have the technical ability to do it. Coinbase figured out how to do it. DoorDash figured out how to do it. They built a token routing system that allows them to send frontier tasks to frontier models and non frontier tasks to more mundane models. But I don't think your average enterprise has the technical capability to do that." "This is why the share of wallet of closed models, it actually increased. I think that open source went from 19% last year to 11% this year. So open source as a share of enterprise spending is actually decreasing." "I don't think that means usage is decreasing. I think usage is skyrocketing. It also may be the case that because the whole point of using an open model is you just pay for the compute costs, you don't have to pay a lab, so it may be that it's hard to measure that usage in terms of spend." "But nonetheless, anyone who's saying that these closed models are going to lose or are somehow losing, you're just not seeing it in the data."

dnap

110,207 次观看 • 13 天前

OpenAI's chairman just responded to the Kimi K3 panic 👇 The timeline calls K3 a frontier killer. Bret Taylor's answer on CNBC: every CEO he talks to asks the same 2 questions. 1️⃣ Am I getting value from my token spend? 2️⃣ What's my moat in the age of AI? His counter on cheap Chinese models: frontier models finish the same task in far fewer tokens. Cheap per token means little if you burn 5x more of them The new battleground is tokens per task, and the price war just forced OpenAI to argue efficiency instead of capability

OpenAI's chairman just responded to the Kimi K3 panic 👇 The timeline calls K3 a frontier killer. Bret Taylor's answer on CNBC: every CEO he talks to asks the same 2 questions. 1️⃣ Am I getting value from my token spend? 2️⃣ What's my moat in the age of AI? His counter on cheap Chinese models: frontier models finish the same task in far fewer tokens. Cheap per token means little if you burn 5x more of them The new battleground is tokens per task, and the price war just forced OpenAI to argue efficiency instead of capability

Ruben

76,011 次观看 • 4 天前

In between major AI model breakthroughs, new models still ship, but they’re not fundamentally expanding what you can do with them. Braintrust CEO Ankur Goyal says that’s exactly when open source starts to surge: "When new models come out, people forget about open source and forget about economics because it changes fundamentally what you can do." "Programming is a good example. The workflow today is completely different than it was a year ago. If you tried to use models from a year ago today, you wouldn't be able to do crazy stuff like OpenClaw or whatever people are building nowadays." "When models don't change at that speed, people optimize the performance on the use cases that they have." "If you look at usage on our platform, almost half the token usage is coming from open source models from a very small number of companies that have figured out how to optimize use cases really well."

In between major AI model breakthroughs, new models still ship, but they’re not fundamentally expanding what you can do with them. Braintrust CEO Ankur Goyal says that’s exactly when open source starts to surge: "When new models come out, people forget about open source and forget about economics because it changes fundamentally what you can do." "Programming is a good example. The workflow today is completely different than it was a year ago. If you tried to use models from a year ago today, you wouldn't be able to do crazy stuff like OpenClaw or whatever people are building nowadays." "When models don't change at that speed, people optimize the performance on the use cases that they have." "If you look at usage on our platform, almost half the token usage is coming from open source models from a very small number of companies that have figured out how to optimize use cases really well."

TBPN

16,294 次观看 • 5 个月前

“don’t train your own model” is common ai advice. it's wrong. your token bill's the proof. today, we’re excited to launch castform into open preview. castform is the easiest way for you to train your own model, on your own data. open-weights models are performant and much cheaper. when trained on your task & proprietary data, they beat closed models. the thing standing between you and that was weeks of plumbing & years of ml expertise. with castform, model training is as simple as prompt engineering. castform bring your agent traces or raw corpora. castform turns it into training data, picks the right algorithmic recipes, manages gpus, and gives you an ide to watch and chat with your model as it learns. see what you can build with castform👇

“don’t train your own model” is common ai advice. it's wrong. your token bill's the proof. today, we’re excited to launch castform into open preview. castform is the easiest way for you to train your own model, on your own data. open-weights models are performant and much cheaper. when trained on your task & proprietary data, they beat closed models. the thing standing between you and that was weeks of plumbing & years of ml expertise. with castform, model training is as simple as prompt engineering. castform bring your agent traces or raw corpora. castform turns it into training data, picks the right algorithmic recipes, manages gpus, and gives you an ide to watch and chat with your model as it learns. see what you can build with castform👇

girish

455,008 次观看 • 1 个月前

Claude hit the rate limit, he didn't open ChatGPT, he switched to the JARVIS he built himself. No subscription, no usage cap and no "you've reached your limit, upgrade to Pro" Just a custom JARVIS interface glowing teal on black like the inside of Iron Man's suit, sitting on his desk next to a Rubik's cube and AirPods. Runs offline. Runs locally. Runs on hardware he already owns. When Claude goes down and everyone scrambles, refreshing, switching to ChatGPT, Gemini, or Perplexity, he just flips to his own model. No rate limits, throttling, or monthly fees. $0/month, 0 usage caps, 0 dependency on any company's servers. The best AI assistant in 2026 isn't the one you subscribe to, it's the one you build yourself so nobody can ever take it away.

Claude hit the rate limit, he didn't open ChatGPT, he switched to the JARVIS he built himself. No subscription, no usage cap and no "you've reached your limit, upgrade to Pro" Just a custom JARVIS interface glowing teal on black like the inside of Iron Man's suit, sitting on his desk next to a Rubik's cube and AirPods. Runs offline. Runs locally. Runs on hardware he already owns. When Claude goes down and everyone scrambles, refreshing, switching to ChatGPT, Gemini, or Perplexity, he just flips to his own model. No rate limits, throttling, or monthly fees. $0/month, 0 usage caps, 0 dependency on any company's servers. The best AI assistant in 2026 isn't the one you subscribe to, it's the one you build yourself so nobody can ever take it away.

Defileo🔮

11,592 次观看 • 2 个月前

introducing OpenBench v1, an open framework for measuring AI performance and efficiency for your codebase and use case. Companies are realizing that you can't simply tokenmaxx, and are frantically looking for better ways to use and measure AI use and efficiency. One approach is evidenced by the rise in model routers: OpenRouter, Cloudflare, Databricks, Vercel, and now Ramp to name a few. But they'll also need the ability to evaluate how agents are performing in their actual use cases and codebase. A good example is DoorDash's recent evals on their codebase and prs. This will become even more important as companies explore different model + harness combinations. OpenBench will be built to this direction, focusing on the cross between correctness vs efficiency in both token use and latency. Starting off, OpenBench makes it easy for anyone to add to the task set, and run a variety of harness + models. The framework also makes it easy to add any custom harness variant, for example I've been testing codex variants with ablations against the stock codex harness. OpenBench will also have tooling to help with discovering/adding reliable tasks from your repo. Today I have integrated harnesses: codex, claude, cursor, devin, grok build, pi, and eval'ed them for different models like gpt 5.6-sol, GLM 5.2, Kimi K3, Grok 4.5, etc. measuring correctness %, token use (in/out/cache), and latency.

introducing OpenBench v1, an open framework for measuring AI performance and efficiency for your codebase and use case. Companies are realizing that you can't simply tokenmaxx, and are frantically looking for better ways to use and measure AI use and efficiency. One approach is evidenced by the rise in model routers: OpenRouter, Cloudflare, Databricks, Vercel, and now Ramp to name a few. But they'll also need the ability to evaluate how agents are performing in their actual use cases and codebase. A good example is DoorDash's recent evals on their codebase and prs. This will become even more important as companies explore different model + harness combinations. OpenBench will be built to this direction, focusing on the cross between correctness vs efficiency in both token use and latency. Starting off, OpenBench makes it easy for anyone to add to the task set, and run a variety of harness + models. The framework also makes it easy to add any custom harness variant, for example I've been testing codex variants with ablations against the stock codex harness. OpenBench will also have tooling to help with discovering/adding reliable tasks from your repo. Today I have integrated harnesses: codex, claude, cursor, devin, grok build, pi, and eval'ed them for different models like gpt 5.6-sol, GLM 5.2, Kimi K3, Grok 4.5, etc. measuring correctness %, token use (in/out/cache), and latency.

Matthew Lam

114,766 次观看 • 4 天前

Have you made some #3D models with #gaussiansplatting using Luma or polycam ? Here is how you can now clean them up directly on the web: People nowadays call them "Splats". These 3D models have the advantage of being extremely light compared to polygon-based 3D models. You can use various apps to generate these assets like the one I mentioned above. Often what you need is just a video or a set of images that you can shoot directly from your phone. To my knowledge, none of those apps right now offer the ability to edit and "clean" the model you get.... UNTIL NOW! You can go to from PlayCanvas import the splats you have downloaded and start cleaning it up directly on your #browser. After that the asset is ready to be exported as a PLY file Was this useful? Follow me for more content around #XR and #AI 😉

Have you made some #3D models with #gaussiansplatting using Luma or polycam ? Here is how you can now clean them up directly on the web: People nowadays call them "Splats". These 3D models have the advantage of being extremely light compared to polygon-based 3D models. You can use various apps to generate these assets like the one I mentioned above. Often what you need is just a video or a set of images that you can shoot directly from your phone. To my knowledge, none of those apps right now offer the ability to edit and "clean" the model you get.... UNTIL NOW! You can go to from PlayCanvas import the splats you have downloaded and start cleaning it up directly on your #browser. After that the asset is ready to be exported as a PLY file Was this useful? Follow me for more content around #XR and #AI 😉

Gabriele Romagnoli

70,966 次观看 • 2 年前

I tested Claude Code on a fresh account - 1,500 lines of HTML cost me 50% of my window. Full video and summary is here.. I just ran a recorded test on Claude Code with a fresh account (Pro, not Max - my main account was 20x Max) , and the result is honestly insane. The task was trivial: create 3 simple demo HTML pages, around 500 lines each. Roughly 1,500 lines of code total. Nothing massive. Nothing enterprise-grade. Nothing that should meaningfully stress a premium coding product. And yet Claude Code burned through 40% of my 5-hour window almost immediately. I ran the exact same test with Codex, and it consumed only 2%. Then it got even worse: after the session ended, I did absolutely nothing for 15 minutes, and Claude still ate another 10%. Total: 50% of the 5-hour window gone for a tiny HTML demo. My weekly usage had already started at 2% before I even really used it, and after this tiny test it jumped to 8%. Now let us be generous and assume this entire run used around 30k tokens total. If 30k tokens represents 10% of weekly usage, that implies around 300k tokens per week. That is roughly 1.2M-1.3M tokens per month, and even if you round up aggressively, you are still in the 1.5M token range. Using the Sonnet 4.6 pricing you list: $3 per 1M input tokens $15 per 1M output tokens How exactly is this supposed to make sense for a paid coding product? Because from the user side, this no longer looks like "premium usage protection." It looks like a quota system that is either wildly inefficient, badly broken, or being accounted in a way users are not being told about. And that is before I even get to my main account: my $200 Max plan now dies in a single day. Just a few months ago, similar or heavier usage would last me about a week. So no, I do not buy the "maybe you just used it more" excuse anymore. Something is clearly broken in Claude Code. Either token accounting is broken, context handling is broken, background consumption is broken, or all three. Alex Albert is this really the experience you want users to pay for? Just watch the video. I tried to be very transparent and clear for your team! I was fan of Claude but just disappointed! And if you want, send me the detailed token accounting for this session and let us inspect it together publicly. Because from where I am standing, this is no longer a small pricing annoyance. It looks like something seriously wrong is happening, and users deserve a real explanation.

I tested Claude Code on a fresh account - 1,500 lines of HTML cost me 50% of my window. Full video and summary is here.. I just ran a recorded test on Claude Code with a fresh account (Pro, not Max - my main account was 20x Max) , and the result is honestly insane. The task was trivial: create 3 simple demo HTML pages, around 500 lines each. Roughly 1,500 lines of code total. Nothing massive. Nothing enterprise-grade. Nothing that should meaningfully stress a premium coding product. And yet Claude Code burned through 40% of my 5-hour window almost immediately. I ran the exact same test with Codex, and it consumed only 2%. Then it got even worse: after the session ended, I did absolutely nothing for 15 minutes, and Claude still ate another 10%. Total: 50% of the 5-hour window gone for a tiny HTML demo. My weekly usage had already started at 2% before I even really used it, and after this tiny test it jumped to 8%. Now let us be generous and assume this entire run used around 30k tokens total. If 30k tokens represents 10% of weekly usage, that implies around 300k tokens per week. That is roughly 1.2M-1.3M tokens per month, and even if you round up aggressively, you are still in the 1.5M token range. Using the Sonnet 4.6 pricing you list: $3 per 1M input tokens $15 per 1M output tokens How exactly is this supposed to make sense for a paid coding product? Because from the user side, this no longer looks like "premium usage protection." It looks like a quota system that is either wildly inefficient, badly broken, or being accounted in a way users are not being told about. And that is before I even get to my main account: my $200 Max plan now dies in a single day. Just a few months ago, similar or heavier usage would last me about a week. So no, I do not buy the "maybe you just used it more" excuse anymore. Something is clearly broken in Claude Code. Either token accounting is broken, context handling is broken, background consumption is broken, or all three. Alex Albert is this really the experience you want users to pay for? Just watch the video. I tried to be very transparent and clear for your team! I was fan of Claude but just disappointed! And if you want, send me the detailed token accounting for this session and let us inspect it together publicly. Because from where I am standing, this is no longer a small pricing annoyance. It looks like something seriously wrong is happening, and users deserve a real explanation.

Hayrettin Tüzel

26,854 次观看 • 3 个月前

Could you actually vibe code Palantir? Co-founder Joe Lonsdale says if you're building low-end SaaS, you're in trouble. But if you're spending $100M+ to build software, no one is replacing that: "I'm such a pro-AI bullish person, but it drives you to apostasy from the whole movement where they're like, 'We're replacing everything. Palantir is going down.'" "There's a lot of stuff that was bought by private equity, didn't take that much to build, and probably had more money put into sales than tech. That kind of stuff is in trouble."

Could you actually vibe code Palantir? Co-founder Joe Lonsdale says if you're building low-end SaaS, you're in trouble. But if you're spending $100M+ to build software, no one is replacing that: "I'm such a pro-AI bullish person, but it drives you to apostasy from the whole movement where they're like, 'We're replacing everything. Palantir is going down.'" "There's a lot of stuff that was bought by private equity, didn't take that much to build, and probably had more money put into sales than tech. That kind of stuff is in trouble."

TBPN

179,731 次观看 • 5 个月前

Locktober Brainwash and Cage Inspection – Mistress Uses Your Cage to Own Your Mind You kneel before me for Locktober, co¢k locked and straining, thinking this is your idea of devotion. You imagine you’re choosing this — but that’s the first fantasy I’m going to strip away. This cage isn’t just on your co¢k; it’s in your mind. Every throb against the bars is another neuron I’m rewiring to fire under my control. Chastity for Me goes far deeper than just denying you s3xual pleasure. While you ache and strain, I whisper into your mind, making you crave your own torment, making you addicted to your own humiliation. You can feel it happening: even though you know I’m manipulating you, you like it. You need it. The more I tease and torment you and make you aware of your physical constraint, the more it makes you aware of the control I’ve taken of your mind, until the only real pleasure you have left is the ache I’ve engineered for you. I tell you the truth you’re too weak to deny: before me you were nothing. My ownership is the only thing that gives you worth. The cage you’re wearing is not a symbol of “self-discipline” — it’s a symbol of your new reality, my growing control over you. It’s a physical trigger that deepens your mental servitude every time you feel it bite. To make sure you start off the first step of the most important decision of your life correctly, I order you to come forward and show off your cage so that I can inspect it. Every second of ache and desperation is just another lesson: you exist to be locked, teased, and manipulated by me, and I’m going to make sure you never forget it.

Locktober Brainwash and Cage Inspection – Mistress Uses Your Cage to Own Your Mind You kneel before me for Locktober, co¢k locked and straining, thinking this is your idea of devotion. You imagine you’re choosing this — but that’s the first fantasy I’m going to strip away. This cage isn’t just on your co¢k; it’s in your mind. Every throb against the bars is another neuron I’m rewiring to fire under my control. Chastity for Me goes far deeper than just denying you s3xual pleasure. While you ache and strain, I whisper into your mind, making you crave your own torment, making you addicted to your own humiliation. You can feel it happening: even though you know I’m manipulating you, you like it. You need it. The more I tease and torment you and make you aware of your physical constraint, the more it makes you aware of the control I’ve taken of your mind, until the only real pleasure you have left is the ache I’ve engineered for you. I tell you the truth you’re too weak to deny: before me you were nothing. My ownership is the only thing that gives you worth. The cage you’re wearing is not a symbol of “self-discipline” — it’s a symbol of your new reality, my growing control over you. It’s a physical trigger that deepens your mental servitude every time you feel it bite. To make sure you start off the first step of the most important decision of your life correctly, I order you to come forward and show off your cage so that I can inspect it. Every second of ache and desperation is just another lesson: you exist to be locked, teased, and manipulated by me, and I’m going to make sure you never forget it.

Mistress Avalon ❤︎ LADominaXoX

22,342 次观看 • 9 个月前

We're super excited to bring more tools, to give you more power in DeFi. We've just pushed a new update live, adding two powerful utility features to the platform. 🔥 Token Burning is now live on the Token Studio. Any holder can now burn the tokens they own, which was created in Atmos Token Studio, giving creators and communities a new way to show conviction, build trust and scarcity of your token. 🚀 Introducing Multi-Send. The ultimate tool for airdrops, community distributions, DAO paying contributors, treasury management or just sending a variety of assets to different wallets. Send crypto to multiple wallets in any ratio all in a single transaction. At Atmos, we're committed to build the most complete Super App in DeFi 💪🏻

We're super excited to bring more tools, to give you more power in DeFi. We've just pushed a new update live, adding two powerful utility features to the platform. 🔥 Token Burning is now live on the Token Studio. Any holder can now burn the tokens they own, which was created in Atmos Token Studio, giving creators and communities a new way to show conviction, build trust and scarcity of your token. 🚀 Introducing Multi-Send. The ultimate tool for airdrops, community distributions, DAO paying contributors, treasury management or just sending a variety of assets to different wallets. Send crypto to multiple wallets in any ratio all in a single transaction. At Atmos, we're committed to build the most complete Super App in DeFi 💪🏻

Atmos Protocol

17,135 次观看 • 9 个月前