8 ms·
Speed up responses with fast mode
- thehamkercat 9mo agoInteresting, output price is insane/Mtok
- 1123581321 9mo agoCould be a use for the $50 extra usage credit. It requires extra usage to be enabled. > Fast mode usage is billed directly to extra usage, even if you have remaining usage on your plan. This means fast mode tokens do not count against your plan’s included usage and are charged at the fast mode rate from the first token.
- minimaxir 9mo agoAfter exceeding the increasingly shrinking session limit with Opus 4.6, I continued with the extra usage only for a few minutes and it consumed about $10 of the credit. I can't imagine how quickly this Fast Mode goes through credit.
- arcanemachiner 9mo agoIt has to be. The timing is just too close.
- simonw 9mo agoThe one question I have that isn't answered by the page is how much faster? Obviously they can't make promises but I'd still like a rough indication of how much this might improve the speed of responses.
- l1n 9mo ago2.5x faster or so (https://x.com/claudeai/status/2020207322124132504 https://x.com/claudeai/status/2020207322124132504).
- zurfer 9mo ago6x more expensive
- scosman 9mo agoYeah is this cerebras/groq speed, or I just skip the queue?
- simonwsucks 9mo ago[dead]
- krm01 9mo agoWill this mean that when cost is more important than latency that replies will now take longer? I’m not in favor of the ad model chatgpt proposes. But business models like these suffer from similar traps. If it works for them, then the logical next step is to convert more to use fast mode. Which naturally means to slow things down for those that didn’t pick/pay for fast mode. We’ve seen it with iPhones being slowed down to make the newer model seem faster. Not saying it’ll happen. I love Claude. But these business models almost always invite dark patterns in order to move the bottom line.
- blackqueeriroh 9mo agoNo we’ve actually never seen that in iPhones. There is zero proof of this.
- speedping 9mo ago> $30/150 MTok Umm no thank you
- pedropaulovc 9mo agoWhere is this perf gain coming from? Running on TPUs?
- AnotherGoodName 9mo agoAI data centers are a whole lot of pipelines pumping data around utilizing queues. They want those expensive power hungry cards near 100% utilized at all times. So they have a queue of jobs on each system ready to run, feeding into the GPU memory as fast as completed jobs are read out of memory (and passed into the next stage) and they aim to have enough backlog in these queues to keep the pipeline full. You see responses in seconds but at the data center you're request was broken into jobs, passed around into queues, processed in an orderly manner and pieced back together. With fast mode you're literally skipping the queue. An outcome of all of this is that for the rest of us the responses will become slower the more people use this 'fast' option. I do suspect they'll also soon have a slow option for those that have Claude doing things overnight with no real care for latency of the responses. The ultimate goal is pipelines of data hitting 100% hardware utilization at all times.
- martinald 9mo agoHmm not sure I agree with you there entirely. You're right there's queues to ensure that you max out the hardware with concurrent batches to _start_ inference, but I doubt you'd want to split up the same job into multiple bits and move them around servers if you could at all avoid it. It requires a lot of bandwidth to do that and even at 400gbit/sec it would take a good second to move even a smaller KV cache between racks even in the same DC.
- pronik 9mo agoWhile it's an excellent way to make more money in the moment, I think this might become a standard no-extra-cost feature in several months (see Opus becoming way cheaper and a default model within months). Mental load management while using agents will become even more important it seems.
- giancarlostoro 9mo agoYeah especially once they make an even faster fast mode.
- falloutx 9mo agoWhy would they cut a money making feature? In fact I am already imagining them asking for speed ransom every time you are in a pinch, some extra context space will also become buyable. Anthropic is in a penny pincher phase right now and they will try to milk everything. Watch them add micro transactions too.
- Nition 9mo agoNote that you can't use this mode to get the most out of a subscription - they say it's always charged as extra usage: > Fast mode usage is billed directly to extra usage, even if you have remaining usage on your plan. This means fast mode tokens do not count against your plan’s included usage and are charged at the fast mode rate from the first token. Although if you visit the Usage screen right now, there's a deal you can claim for $50 free extra usage this month.
- esperent 9mo agoSo it's basically useless then. Even with Claude Max I have to manage my usage when doing TDD, and using ccusage tool I've seen that I'd frequently hit $200 per day if I was on the API. At 6x cost you'll burn through $50 in about 20 minutes. I wish that was hyperbole.
- andersa 9mo agoI tried casually using it for two hours and it burned $100 at the current 50% discounted rate, so your guess is pretty accurate...
- copperx 9mo agoI still don't get why Claude is so expensive.
- airspresso 9mo agoBecause we all prefer it over Gemini and Codex. Anthropic knows that and needs to get as much out of it as possible while they can. Not saying the others will catch up soon. But at some point other models will be as capable as Opus and Sonnet are now, and then it's easier to let price guide the choice of provider.
- deleted 9mo ago[deleted]
- IMTDb 9mo agoI’m curious what’s behind the speed improvements. It seems unlikely it’s just prioritization, so what else is changing? Is it new hardware (à la Groq or Cerebras)? That seems plausible, especially since it isn’t available on some cloud providers. Also wondering whether we’ll soon see separate “speed” vs “cleverness” pricing on other LLM providers too.
- pshirshov 9mo ago> so what else is changing? Let me guess. Quantization?
- sothatsit 9mo agoThere are a lot of knobs they could tweak. Newer hardware and traffic prioritisation would both make a lot of sense. But they could also lower batching windows to decrease queueing time at the cost of lower throughput, or keep the KV cache in GPU memory at the expense of reducing the number of users they can serve from each GPU node.
- martinald 9mo agoI think it's just routing to faster hardware: H100 SXM: 3.35 TB/s HBM3 GB200: 8 TB/s HBM3e 2.4x faster memory - which is exactly what they are saying the speedup is. I suspect they are just routing to GB200 (or TPU etc equivalents). FWIW I did notice _sometimes_ recently Opus was very fast. I put it down to a bug in Claude Code's token counting, but perhaps it was actually just occasionally getting routed to GB200s.
- sothatsit 9mo agoDylan Patel did analysis that suggests lower batch size and more speculative decoding leads to 2.5x more per-user throughput for 6x the cost for open models [0]. Seems plausible this could be what they are doing. We probably won't get to know for sure any time soon. Regardless, they don't need to be using new hardware to get speedups like this. It's possible you just hit A/B testing and not newer hardware. I'd be surprised if they were using their latest hardware for inference tbh. [0] https://nitter.net/dylan522p/status/2020302299827171430 https://nitter.net/dylan522p/status/2020302299827171430
- solidasparagus 9mo agoI pay $200 a month and don't get any included access to this? Ridiculous
- pedropaulovc 9mo agoWell, you can burn your $50 bonus on it
- bakugo 9mo agoThe API price is 6x that of normal Opus, so look forward to a new $1200/mo subscription that gives you the same amount of usage if you need the extra speed.
- MuffinFlavored 9mo agoI always wondered this, is this true/does the math come out to be really that bad? 6x? Is the writing on the wall for $100-$200/mo users that, it's basically known-subsidized for now and $400/mo+ is coming sooner than we think? Are they getting us all hooked and then going to raise it in the future, or will inference prices go down to offset?
- bakugo 9mo agoThe writing has been on the wall since day 1. They wouldn't be marketing a subscription being sold at a loss as hard as they are if the intention wasn't to lock you in and then increase the price later. What I expect to happen is that they'll slowly decrease the usage limits on the existing subscriptions over time, and introduce new, more expensive subscription tiers with more usage. There's a reason why AI subscriptions generally don't tell you exactly what the limits are, they're intended to be "flexible" to allow for this.
- kingforaday 9mo ago..But it says "Available to all Claude Code users on subscription plans (Pro/Max/Team/Enterprise) and Claude Console." Is this wrong?
- hmokiguess 9mo agoGive me a slow mode that’s cheaper instead lol
- jhack 9mo agoThe pricing on this is absolutely nuts.
- nick49488171 9mo agoFor us mere mortals, how fast does a normal developer for through a MTok. How about a good power user?
- snowfield 9mo agoA developer can blast millions of tokens in minutes. When you have a context size of 250k that’s just 4 queries. But with tool usage and subsequent calls etc it can easily just do many millions in one request But if you just ask a question or something it’ll take a while to spend a million tokens…
- nick49488171 9mo agoSeems like an opportunity to condense the context into 'documentation' level and only load the full text/code for files that expect to be edited?
- snowfield 9mo agoYeah that’s what they try to do with the latest coding agents sub agents which only have the context they need etc. but atm it’s too much work to manage contexts at that level
- deleted 9mo ago[deleted]
- andersa 9mo agoIt's worth noting those 250k tokens will be cached for repeat queries.
- SatvikBeri 9mo agoI use one Claude instance at a time, roughly fulltime (writes 90% of my code). Generally making small changes, nothing weird. According to ccusage, I spend about $20 of tokens a day, a bit less than 1 MTOK output tokens a way. So the exact same workflow would be about $120 for higher speed.
- clbrmbr 9mo agoI’d love to hear from engineers who find that faster speed is a big unlock for them. The deadline piece is really interesting. I suppose there’s a lot of people now who are basically limited by how fast their agents can run and on very aggressive timelines with funders breathing down their necks?
- sothatsit 9mo agoIf it could help avoid you needing to context switch between multiple agents, that could be a big mental load win.
- deleted 9mo ago[deleted]
- throw310822 9mo agoThe idea of development teams bottlenecked by agent speed rather than people, ideas, strategy, etc. gives me some strange vibes.
- Aurornis 9mo ago> I’d love to hear from engineers who find that faster speed is a big unlock for them. How would it not be a big unlock? If the answers were instant I could stay focused and iterate even faster instead of having a back-and-forth. Right now even medium requests can take 1-2 minutes and significant work can take even longer. I can usually make some progress on a code review, read more docs, or do a tiny chunk of productive work but the constant context switching back and forth every 60s is draining.
- electroly 9mo agoI won't be paying extra to use this, but Claude Code's feature-dev plugin is so slow that even when running two concurrent Claudes on two different tasks, I'm twiddling my thumbs some of the time. I'm not fast and I don't have tight deadlines, but nonetheless feature-dev is really slow. It would be better if it were fast enough that I wouldn't have time to switch off to a second task and could stick with the one until completion. The mental cost of juggling two tasks is high; humans aren't designed for multitasking.
- maz1b 9mo agoAFAIK, they don't have any deals or partnerships with Groq or Cerebras or any of those kinds of companies.. so how did they do this?
- hendersoon 9mo agoCould well be running on Google TPUs.
- tcdent 9mo agoInference is run on shared hardware already, so they're not giving you the full bandwidth of the system by default. This most likely just allocates more resources to your request.
- deleted 9mo ago[deleted]
- rvz 9mo agoThe models are running on Google TPUs.
- esafak 9mo agoIt's a good way to address the price insensitive segment. As long as they don't slow down the rest, good move.
- digiown 9mo agoThis sounds like one of these theme park "skip the queue" tickets. It will absolutely slow down the rest.
- paxys 9mo agoLooking at the "Decide when to use fast mode", it seems the future they want is: - Long running autonomous agents and background tasks use regular processing. - "Human in the loop" scenarios use fast mode. Which makes perfect sense, but the question is - does the billing also make sense?
- CuriouslyC 9mo agoThe billing doesn't even make sense for Opus at the API prices, the sub is the killer. It'll be a Cadillac offering for whales. People who care about value will just run stuff in parallel.
- margalabargala 9mo ago> It'll be a Cadillac offering for whales. We need to update terminology. Cadillac hasn't been the Cadillac of anything for decades now.
- anthonyrstevens 9mo agoCadillac margarita would like a word. ;)
- l5870uoo9y 9mo agoIt doesn’t say how much faster it is but from my experience with OpenAI’s “service_tier=priority” option on SQLAI.ai is that it’s twice as fast.
- simianwords 9mo agoWhatever optimisation is going on is at the hardware level since the fast option persists in a session.
- aabhay 9mo agoWhat is “$30/150MTok”? Claude Opus 4.6 is normally priced at “$25/MTok”. Am I just reading it wrong or is this a typo? EDIT: I understand now. $30 for input, $150 for output. Very confusing wording. That’s insanely expensive!
- niobe 9mo agoSo fast mode uses more tokens, in direct opposition to Gemini where fast 'mode' means less. One more piece of useless knowledge to remember.
- Sol- 9mo agoI don't think this is the case, according to the docs, right? The effort level will use fewer tokens, but the independent fast mode just somehow seems to use some higher priority infrastructure to serve your requests.
- Aurornis 9mo agoYou're comparing two different things. It's not useless knowledge, it's something you need to understand. Opus fast mode is routed to different servers with different tuning that prioritizes individual response throughput. Same model served differently. Same response, just delivered faster. The Gemini fast mode is a different model (most likely) with different levels of thinking applied. Very different response.
- rustyhancock 9mo agoAt this point why don't we just CNAME HN to the Claude marketing blog?
- Kwpolska 9mo agoBecause we would miss simonw’s self-promotion blog posts.
- blackqueeriroh 9mo agojealous much?
- iLoveOncall 9mo agoIt gives the same space, if not a lot more, to OpenAI. It should definitely be renamed to AINews instead of HackerNews, but Claude posts are a lot less frequent than OpenAI's.
- slyall 9mo agoIt's the big thing right now. Have a look at the old HN front pages and you'll notice other topics/technologies dominated in the past.
- AnotherGoodName 9mo agoBut waiting for the agent to finish is my 2026 equivalent of "compiling!" https://xkcd.com/303/ https://xkcd.com/303/
- thisisauserid 9mo agoInstead of better/cheaper/faster you just the the last one? Back to Gemini.
- jawon 9mo agoI was thinking about inhouse model inference speeds at frontier labs like Anthropic and OpenAI after reading the "Claude built a C compiler" article. Having higher inference speed would be an advantage, especially if you're trying to eat all the software and services. Anthropic offering 2.5x makes me assume they have 5x or 10x themselves. In the predicted nightmare future where everything happens via agents negotiating with agents, the side with the most compute, and the fastest compute, is going to steamroll everyone.
- crowbahr 9mo agoWhere on earth are you getting these numbers? Why would a SaaS company that is fighting for market dominance withhold 10x performance if they had it? Where are you getting 2.5x? This is such bizarre magical thinking, borderline conspiratorial. There is no reason to believe any of the big AI players are serving anything less than the best trade off of stability and speed that they can possibly muster, especially when their cost ratios are so bad.
- jawon 9mo agoNot magical thinking, not conspiratorial, just hypothetical. Just because you can't afford to 10x all your customers' inference doesn't mean you can't afford to 10x your inhouse inference. And 2.5x is from Anthropic's latest offering. But it costs you 6x normal API pricing.
- jawon 9mo agoAlso, from a comment in another thread, from roon, who works at OpenAI: > codex-5.2 is really amazing but using it from my personal and not work account over the weekend taught me some user empathy lol it’s a bit slow [0] https://nitter.net/tszzl/status/2016338961040548123 https://nitter.net/tszzl/status/2016338961040548123
- deleted 9mo ago[deleted]
- falloutx 9mo ago
- jonplackett 9mo agoIs this is the beginning of the ‘Speedy boarding’ / ‘Fastest delivery’ enshitification? Where everyone is forced to pay for a speed up because the ‘normal’ service just gets slower and slower. I hope not. But I fear.
- falloutx 9mo agoThis is to test the room before real enshitification happens. Companies who bought from Anthropic are really in for a ride.
- dmix 9mo agoI really like Anthropic's web design. This doc site looks like it's using gitbook (or a clone of gitbook) but they make it look so nice.
- treycluff 9mo agoLooks like mintlify to me. Especially the copy page button.
- falloutx 9mo agoIts just https://www.mintlify.com/ https://www.mintlify.com/ with barely customized theme
- deepdarkforest 9mo agoMintlify is the best example of a product that is just nice. They don't claim to have a moat, or weird agi vibes, or whatever. It just works and it's pretty. 10m arr right there
- dmix 9mo agoAh fair enough. Their webdesign on the homepage and other stuff is still great. And the font/colour choice on the Mintlify theme is nice.
- henning 9mo agoLLM programming is very easy. First you have to prompt it to not mistakes. Then you have to tell it to go fast. Software engineering is over bro, all humans will be replaced in 6 days bro
- kristianp 9mo agoThis is gold for Anthropic's profitability. The Claude Code addicts can double their spend to plow through tokens because they need to finish something by a deadline. OpenAI will have a similar product within a week but will only charge 3x the normal rate. This angle might also be NVidias reason for buying Groq. People will pay a premium for faster tokens.
- jweir 9mo agoI switched back to 4.5 Sonnet or Opus yesterday since 4.6 was so slow and often “over thinking” or “over analyzing” the problem space. Tasks which accurately took under an minute in Sonnet 4.5 were still running after 5 minutes in 4.6 (yeah I had them race for a few tasks) Someone of this could be system overload I suppose.
- stefan_ 9mo agoYeah, nothing is sped up, their initial deployment of 4.6 is so unbearably slow they are just now offering you the opportunity to pay more for the same experience of 4.5. What's the word for that?
- coldtea 9mo ago[flagged]
- christophilus 9mo agoEnslopification.
- fy20 9mo agoThey mentioned in the release notes if it's over-thinking you should decrease the reasoning effort.
- HumanOstrich 9mo agoEdit ~/.claude/settings.json and add "effortLevel": "medium". Alternatively, you can put it in .claude/settings.json in a project if you want to try it out first. They recommend this in the announcement[1], but the way they suggest doing it is via a bogus /effort command that doesn't exist. See [2] for full details about thinking effort. It also recommends a bogus way to change effort by using the arrow keys when selecting a model, so don't use that either. [1]: https://www.anthropic.com/news/claude-opus-4-6 https://www.anthropic.com/news/claude-opus-4-6 [2]: https://code.claude.com/docs/en/model-config#adjust-effort-level https://code.claude.com/docs/en/model-config#adjust-effort-l...
- throwaway132448 9mo agoGiven how little most of us can know about the true cost of inference for these providers (and thus the financial sustainability of their services), this is an interesting signal. Not sure how to interpret it, but it doesn’t feel like it bodes well.
- not_math 9mo agoGiven that providers of open source models can offer Kimi K2.5 at input $0.60 and output $2.50 per million tokens, I think the cost of inference must be around that. We would still need to compare the tokens per second.
- Computer0 9mo agoFair but we technically do not know the parameter count
- zhyder 9mo agoSo 2.5x the speed at 6x the price [1]. Quite a premium for speed. Especially when Gemini 3 Pro is 1.8x the tokens/sec speed (of regular-speed Opus 4.6) at 0.45x the price [2]. Though it's worse at coding, and Gemini CLI doesn't have the agentic strength of Claude Code, yet. [1] - https://x.com/claudeai/status/2020207322124132504 https://x.com/claudeai/status/2020207322124132504 [2] - https://artificialanalysis.ai/leaderboards/models https://artificialanalysis.ai/leaderboards/models
- sebmellen 9mo agoGemini is pretty good for frontend tasks
- gpm 9mo ago6x price/token, so 15x price/second, and only at the API pricing level, not the far cheaper (per token) subscription pricing. Definitely an interesting way to encourage whales to spend a lot of money quickly.
- atonse 9mo agoI didn’t quite understand why they were randomly giving people $50 in credits. But I think this is why?
- stingraycharles 9mo agono, it’s for Max subscribers to enable “use API when running out of session limit”. the assumption (probably) being that many will forget to turn it off, and they’ll earn it back that way.
- Loic 9mo agoThis was my first thought, but by default, you have no automatic reload of your prepaid account. Which I think is for once user friendly. They could have applied a dark pattern here.
- 9mo ago
- digiown 9mo agoI wouldn't be surprised if the implementation is - Turn down the thinking token budget to one half - Multiply the thinking tokens by 2 on the usage stats returned - Phew! Twice the speed IMO charging for the thinking tokens that you can't see is scam.
- OtherShrezzing 9mo agoA useful feature would be slow-mode which gets low cost compute on spot pricing. I’ll often kick off a process at the end of my day, or over lunch. I don’t need it to run immediately. I’d be fine if it just ran on their next otherwise-idle gpu at much lower cost that the standard offering.
- guerrilla 9mo ago> I’ll often kick off a process at the end of my day, or over lunch. I don’t need it to run immediately. I’d be fine if it just ran on their next otherwise-idle gpu at much lower cost that the standard offering. If it's not time sensitive, why not just run it at on CPU/RAM rather than GPU.
- bethekidyouwant 9mo agoRun what exactly?
- all2 9mo agoI'm assuming GP means 'run inference locally on GPU or RAM'. You can run really big LLMs on local infra, they just do a fraction of a token per second, so it might take all night to get a paragraph or two of text. Mix in things like thinking and tool calls, and it will take a long, long time to get anything useful out of it.
- guerrilla 9mo agoYes, this is what I meant. People are running huge models at home now, I assumed people could do it on premises or in a data center if you're a business, presumably faster... but yeah it definitely depends on what time scales we're talking.
- HumanOstrich 9mo agoHuge models? First you have to spend $5k-$10k or more on hardware. Maybe $3k for something extremely slow (<1 tok/sec) that is disk-bound. So that's not a great deal over batch API pricing for a long, long time. Also you still wouldn't be able to run "huge" models at a decent quantization and token speed. Kimi K2.5 (1T params) with a very aggressive quantization level might run on one Mac Studio with 512GB RAM at a few tokens per second. To run Kimi K2.5 at an acceptable quantization and speed, you'd need to spend $15k+ on 2 Mac Studios with 512GB RAM and cluster them. Then you'll maybe get 10-15 tok/sec.
- laidoffamazon 9mo agoPersonally, I’d prefer a slow mode that’s a ton cheaper for a lot of things.
- AstroBen 9mo agoThis seems like an incredibly bad deal, but maybe they're probing to see if people will pay more You know if people pay for this en masse it'll be the new default pricing, with fast being another step above
- energy123 9mo agoNot at all. Some work is the combination of short duration, bottlenecking in nature, and serial. Example: You're merging 3 branches, and there's a minor merge conflict. You only need 15k tokens to fix it, so it's short duration. And it's bottlenecking. And it's a serial task. This belongs on Cerebras or whatever. Once fixed, go back to slower compute.
- legojoey17 9mo agoWhat's crazy is the pricing difference given that OpenAI recently reduced latency on some models with no price change - https://x.com/OpenAIDevs/status/2018838297221726482 https://x.com/OpenAIDevs/status/2018838297221726482
- dcre 9mo agoYes, but GPT-5.2 and Codex were widely considered slower than Opus before that. They still feel very slow, at least on high. I should give medium a try more often.
- pqdbr 9mo agoI redeemed my 50 USD credit to give it a go. In literally less than 10 minutes I spent 10 USD. Insane. I love Claude Code, but this pricing is madness.
- otterley 9mo agoWhat would have been the human labor cost equivalent?
- HardCodedBias 9mo agoIf this pricing ratio holds it is going to mint money for Cerebras. Many suspected a 2x premium for 10x faster. It looks like they may have been incorrect.
- rappatic 9mo agoCounterintuitively, I feel like this will not be super useful, at least for me. My bottleneck is MY ability to parse and understand LLM-generated code. The agent can code a lot faster than I can read and understand its output.
- rovr138 9mo agoThere's a lot of people out there that aren't paying as close attention to the actual code. Wild times!
- nonethewiser 9mo agoSmart if you can get away with it. For non trivial things you can't quite get away with it. I've started asking Claude to make me a high-level implementation plan and basically prompt ME to write it. For the most part I walk through it and ask Claude to just do it. But then 10% of the time there is a pretty major issue that I investigate, weigh pros/cons, and then decide to change course on. Those things accumulate. Maybe 5-10 things over the course of an MVP that I wouldn't really have a clue about if I let Claude just dutiful implement it's own plan.
- rovr138 9mo agoOh, I don’t like it. Not including broken things, you end up with random errors or things that just don’t work right.
- altmanaltman 9mo agoPeople who vibe code don't really care about silly things such as understanding the code though.
- ollysb 9mo agoIf it was fast I'd ask questions more than read the code in detail. This isn't viable for that approach yet though.
- airspresso 9mo ago
- ubixar 9mo agoJust when you thought it was safe to use Opus 4.5 at 1/3 the cost, they go and add a 6x 'bank-breaking mode' - So now accidental bankruptcy is just one toggle away.
- brador 9mo agoAI trained on real time data will always and only get dumber over time. Reversion to mean of human IQ. just like every web forum ever. Eternal September. That’s why gen 1-3 AI felt so smart. It was trained on the best curated human knowledge available. And now that’s done it’s just humanities brain dumps left to learn from. 2 ways out: self referential learning gen 1-3 AIs. Or, Pay experts to improve datasets and not training with general human data. Inputs and outputs.
- andrewstuart 9mo agoIf anyone from Anthropic is here……. I need a way to put stuff in code with 150% certainty that no LLM will remove it. Specifically so I can link requirements identifiers to locations in code, but there must be other uses too.
- great2bnaustin 9mo agoThe title is doing a lot of heavy lifting. No credible scientist describes AMOC collapse as the “end of humanity.” It would be catastrophic, full stop: European winters dropping 5-15°C, massive disruptions to global food production, coastal flooding, monsoon shifts affecting billions. But humans survived the last AMOC shutdown during the Younger Dryas roughly 12,900 years ago with stone tools and no supply chains. We’d suffer enormously. We wouldn’t go extinct. Framing it that way makes it easier for skeptics to dismiss the real risk.
- ff2400t 9mo agoWhat?
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- andersa 9mo agoThis pricing is pathetic. I've been using it for two hours at what I consider "normal" interactive speed and it burned $100. Normally the $200 subscription is enough for an entire month. I guess if you are rich, you can pay 40 times as much for roughly double speed (assuming 8 hours usage a day, 5 days a week)? Edit: I just realized that's with the currently 50% discounted price! So you can pay 80 times as much!
- epsteingpt 9mo agoFast. Cheap. Quality. Pick 2. Smart business model decision, since most people and organizations prefer regular progress. In the future this might be the reason enterprise software companies win - because they can use their customer funds to pay for faster tokens and adaptions. let's see where it goes.
- skeptrune 9mo agoIf models really do continue to get more expensive then it's not going to make sense to let everyone at your org have equal budget for spend. We're on track for a world where there are the equivalent of F1 drivers for ai.
- jvuygbbkuurx 9mo agoOne persons output doesn't scale for an entire org no matter how expensive and good the AI is. It's either good enough that anyone can do it, or bad enough that a human needs to be in control which caps the output at human understanding. It will always be more efficient to have every engineer be boosted a little bit than a single one a lot.
- ponyous 9mo agoI see no mention of that, but OpenAI already has "service tier" API option[0] that improves the speed of a request by about 40% according to my tests. [0]: https://openai.com/api-priority-processing/ https://openai.com/api-priority-processing/
- tiku 9mo agoSo us normal pro accounts have slow mode. Thanks anthropic. I'm currently testing Kimi2.5 with cli, works great and fast. Even comes with a web interface so you can communicate with you kimi-cli instance (remote even if you use vpn).
- zadnan2002 9mo agoThe async AI + sync approval bottleneck is real. One thing that helped me: stop being physically desk-bound during those wait times. I built ForkOff to solve this - when Claude needs approval, push notification to your phone, one-tap approve from anywhere. Turns out you don't actually need to be at your desk for most approvals. The fast mode helps with speed, but even faster is letting the AI work while you're literally anywhere else. Early access: forkoff.app (And yes, the pricing for fast mode is wild - $100 burned in 2 hours per some comments here!)
- simonsarris 9mo ago> ...stop being physically desk-bound during those wait times. > I built ForkOff to solve this This does sound useful but I have to laugh because I just work out or play with my children. If you enjoy calisthenics and stretching its great to use Claude while not feeling chair-bound. Programming becomes more physical!
- zadnan2002 9mo agoI am literally using this on my 2 hour bike rides and when on the lift while skiing.
- bizzleDawg 9mo agoMy (and many others) normal workflow includes a planning phase, followed by an implementation phase. For me the most useful time for fast mode would be during that planning phase. The current "clear context and execute plan" would be great to be joined by a, "clear context, switch to regular speed mode, and execute plan". I even think I would not require fast mode for the explore agents etc - they have so much to do that I accept that takes a while. being able to rapidly iterate on the plan before setting it going would make it easier. Please and thank you, Boris.
- tosh 9mo agoit states how much it costs but not how much faster it is
- ithkuil 9mo agoI wonder if /slow with 6 times less the price could have some uses
- yehosef 9mo agonever burned extra usage so fast...
- 2001zhaozhao 9mo agoThe most interesting part about this is that Anthropic's own employees are probably using this 24/7 to develop the next model and it's barely affordable to anyone else.