... push back on hardest, because it's the answer I hear whenever this comes up: costs are collapsing, so just wait. The unit price genuinely is collapsing. GPT-4-class inference ran somewhere around $20 30 per million tokens in late 2022; equivalent performance is roughly $0.40 0.80 today. I'd treat the multipliers people quote with suspicion I've seen 50x, 300x and 1,000x for the same three-year window, and which one you get depends entirely ... ... which two models someone picked to compare. The direction is real. The round number is marketing. But per-token

... most auth setups issue a JWT and move on. the token is valid, the user is in, done. but here's the scenario nobody wants to think about: the token

... Models shipped million-token windows this year. Then the research showed they quietly get worse the more you feed them and that flips how you build. There's a move almost every maker makes the first time they build something on top of an AI model, and I made it too. The window is huge now, so you fill it. All the docs. The whole conversation history. Every tool you might conceivably need. The reasoning goes: the model is smart ... ... well they held up as the input got longer. The finding is uncomfortable if you've been dumping everything into the prompt: accuracy degrades well before the window is anywhere near full. A model advertised at a million tokens

... probably saw the comparison: one coding agent harness sends ~33k tokens before your prompt, another sends ~7k. Big thread, lots of outrage about waste. I finally read the whole study instead of the headline, and the actually useful findings are different from what got shared. First, in their realistic-config lane (instruction file + several MCP servers), the "light" harness came out HEAVIER: ~90.8k vs

... Analyzed a day of token logs across an autonomous coding agent setup running on internal codebases. The raw count: 769M input tokens

... tools, and a few things genuinely surprised me. The efficiency numbers aren't close, and not in the direction I expected. One widely cited test had Claude Code completing an identical multi-file feature task using around 33,000 tokens with zero errors , while Cursor Agent burned roughly 188,000 tokens

... using Claude for content creation, but my tokens get used up pretty quickly. Does anyone have tips for reducing token

... Like a lot of you, my API bills have been crazy lately from feeding entire directories and massive logs into the context window for hours. I noticed a structural loophole in how models are priced: text tokens are billed by character density, but vision tokens

... builders Token bills are creeping up as we ship more AI features, and I'm curious how the community is dealing with it. A few things I'd love your take on: Model switching: Do you actually bother routing between models (e.g. a cheap/fast model for simple stuff, a premium one for hard tasks)? Or is the engineering overhead not worth the savings? Would love to hear real numbers if you've measured it. Monitoring: How do you track consumption ... ... pieces the browser already ships for free before you meter them. And gate your AI endpoints. We found ours could be hit by anything with the URL, a scraper could have quietly run the meter for weeks. Per-session tokens

... install copium-ai copium wrap claude That is it. Two commands. Now every Claude Code request routes through a local compression proxy before hitting the API. My prompts get 40-80% smaller. Same answers come back. Where My Tokens Were Going I ran copium stats --period month after the first week and saw the breakdown: Category Tokens/Day (Before) Tokens/Day (After) Savings File reads (duplicates) 180K 12K 93% Tool outputs (JSON) 320K 64K 80% Build logs 95K 14K 85% Search results ... ... 150K 30K 80% Conversation history 200K 140K 30% Tool schemas 45K 8K 82% Total 990K 268K 73% Almost a million tokens

... history isn't readable by another process, MCP client, or synced backup without it. fail closed -- passphrase absent > the store refuses to open, never a silent fallback to plaintext. scope gating: per client. MCP access is by scoped token; hand an agent a token

... There s a growing pattern of using tokens to generate AI code and documentation slop. Then use even more tokens

... tools hide limits until you hit a wall. We tried to make Oasis usage visible up front. Insight for other users:  The  daily token usage bar  shows how much of your  plan allowance  you have used, compared to your  Kahana subscription limit . It is tied to  plan limits from subscription and usage services , not a raw model quota alone. That way you see  remaining headroom for your billing period , not a mystery ... ... composer or in the header  for the bar and label. After a long chat or a voice session, give it a few seconds to refresh. If numbers look stale, reopen the assistant (offline time can delay sync). Bonus tokens

... businesses across India, the Middle East, and Southeast Asia. Every month, we're making thousands of API calls across multiple providers and for the longest time, our AI cost estimates were embarrassingly wrong. Not because we weren't tracking tokens. We were. We didn't know what we didn't know. The problem that made us build this Six months into production, our bills were consistently 3 4 our estimates. We started digging. Turns out the token

... loyal communities have no way to let them invest. VCs don't care. Patreon is just donations with perks. The fans who believed in you from day one get nothing. What CoinForge does: Any creator can launch their own token in 5 minutes. Their community buys in. The token

... built Offtoco ( https://github.com/PacifAIst/Off... ) a zero-knowledge offline token counter for GPT, Claude and Gemini Tired of pasting prompts into online token

... deep into the controlled Shopify connection architecture phase, and the product has moved from concept shell into a real Laravel beta with safety-gated infrastructure. The current beta is focused on proving the connection, tenant, OAuth, and token-vault architecture before allowing any live customer data flow. What is working now: The Laravel beta app is live in its private beta environment. The users table has been repaired and confirmed working. Core tenant tables are present: tenants workspaces shopify_stores ... ... tenant_user The encrypted Shopify token

... deep into the controlled Shopify connection architecture phase, and the product has moved from concept shell into a real Laravel beta with safety-gated infrastructure. The current beta is focused on proving the connection, tenant, OAuth, and token-vault architecture before allowing any live customer data flow. What is working now: The Laravel beta app is live in its private beta environment. The users table has been repaired and confirmed working. Core tenant tables are present: tenants workspaces shopify_stores ... ... tenant_user The encrypted Shopify token

... When people first explore RWA tokenization, the first question that comes to mind is always about cost. And the answers they usually find are confusing. Some sources mention very low numbers, while others talk about extremely high investments. This creates a gap between expectation and reality, especially for founders who are planning to build a serious platform. To understand the average budget properly, you need to look at what you are actually building. An RWA tokenization

... Last month I got one of those AI invoices that makes you open the usage page and squint. The annoying part was not that I used tokens. It was that I had almost no visibility while I was actually building. I was jumping between apps, prompts, and models, and the cost only became obvious after the damage was done. So I built TokenBar for macOS. It sits in the menu bar and shows token

... same $5 / $25 pricing as 4.6 also new stuff that shipped with it: a new `xhigh` effort tier (between `high` and `max`, and it's now the default in Claude Code), task budgets in beta (advisory token cap the model can see and plan against, different from max_tokens

... community Launching RugRadar today a free crypto token security scanner. What it does: Paste any contract address and get a 0-100 risk score with plain English results. No wallet needed, no signup required. What it catches: - Honeypots (tokens

... capture records a screenshot on every click, scroll, and focus change automatically AI analysis ask questions about your screenshots, extract code, generate fixes Voice dictation hold a shortcut and speak into any app, developer-aware (says "arrow" gets =>) Token Compression Engine renders text as optimized images for LLMs, 83% fewer tokens

... Road to 1,000,000 #Votap users Day 61 | Current: 1295 I dream about tokens?? Push notifications in Votap have been pretty simple so far. If you follow a politician or based on your country we send topic-based notifications (basically broadcast to a group). Easy. But now I m building notifications for comment replies Which means: they have to be user-specific. And suddenly everything gets interesting. Tokens

... Road to 1,000,000 #Votap users Day 61 | Current: 1295 I dream about tokens?? Push notifications in Votap have been pretty simple so far. If you follow a politician or based on your country we send topic-based notifications (basically broadcast to a group). Easy. But now I m building notifications for comment replies Which means: they have to be user-specific. And suddenly everything gets interesting. Tokens