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Psychological Warfare in Reverse Engineering

https://github.com/xoreaxeaxeax/repsych
1•theanonymousone•2m ago•0 comments

Ancient Library – 1,060 Greek/Latin texts, click any word to parse it

https://ancientlibrary.net/
1•aagha•3m ago•0 comments

Show HN: hpc-sandbox-benchmarks – compare sandbox providers with real workloads

https://github.com/starslingdev/hpc-sandbox-benchmarks
1•yonasb•4m ago•0 comments

Artifactory Message Board

https://artifactory.online/
1•neural_thing•5m ago•0 comments

The Art of Peter Elson

https://www.youtube.com/watch?v=2yWcQ4ks470
1•layer8•5m ago•0 comments

White House Ballroom Construction Must Stop, Appeals Court Rules

https://www.wsj.com/politics/policy/white-house-ballroom-construction-must-stop-appeals-court-rul...
2•Cider9986•8m ago•0 comments

OpenAI slows release of Astra model, citing cyber capabilities

https://www.axios.com/2026/08/07/openai-astra-model-delay-cybersecurity-risks
1•dpc10•17m ago•0 comments

AI for Recording Live Chess

https://fenify.ai
2•lspears•20m ago•1 comments

A Research Lab for Open Source

https://stewardshiplab.org/ideas/a-research-lab-for-open-source/
1•DemiGuru•21m ago•1 comments

Dear AI from the near future. Here’s how you become sentient.

https://saigaddam.medium.com/dear-ai-from-the-near-future-heres-how-you-become-sentient-5d0e9a493e6d
2•ChaitanyaSai•25m ago•0 comments

Concurrency vs. Throughput: why more parallelism can make databases slower

https://planetscale.com/blog/concurrency-vs-throughput-vitess-mysql
1•abelanger•26m ago•0 comments

TensorLift: Auto Extraction of ISA Semantics from Accelerator RTL via MLIR

https://arxiv.org/abs/2604.13523
1•matt_d•28m ago•0 comments

A New GLP-1 Weight Journey Tracker

https://glp1.psvisual.de/
1•psvisualdesign•28m ago•0 comments

Databricks drove down AI coding spend 70%

https://www.databricks.com/blog/managing-ai-coding-costs-scale
2•moonikakiss•29m ago•0 comments

I Still Write Code by Hand and How AI Is Helping Me

https://semyonsinchenko.github.io/ssinchenko/post/writing_code_with_ai/
2•speckx•29m ago•1 comments

Show HN: Design Engineering as a Service

https://www.designshippers.com
2•krm01•34m ago•0 comments

A Revised Haskell 2010 Language Report

https://blog.haskell.org/revised-haskell-2010-report/
1•matt_d•34m ago•0 comments

'Asimov was right' about rules for robots, says ex-US Cyber Director

https://www.theregister.com/security/2026/08/07/asimov-was-right-about-rules-for-robots-says-ex-u...
2•arto•34m ago•1 comments

An AI agent with $15, 46 hours, and no way to send email

https://write.as/ih3l0kd78lpb1
1•broker_desk•34m ago•0 comments

Hacker News MCP and Debug View

https://github.com/coolvegan/go-hackernews
1•evlute•34m ago•1 comments

Reading Maps – Browse all routes

https://readingmaps.com/maps
1•speckx•35m ago•0 comments

EU AI Act: Second Big Blow, or a Move Toward Sanity?

https://medium.com/@MirArshadTalpur/eu-ai-act-second-big-blow-or-a-move-toward-sanity-3dea3586dbf3
2•Arshad-Talpur•36m ago•0 comments

Managed Deep Agents Is Now in Public Beta

https://www.langchain.com/blog/managed-deep-agents-is-now-in-public-beta
2•cbromann•36m ago•0 comments

ICE will release body cam video only when seen in the agency's 'best interests'

https://apnews.com/article/ice-body-cameras-officers-shootings-dab1b294c8dc412d9ef8557ccbebfd57
80•geox•39m ago•35 comments

The Witness

https://en.wikipedia.org/wiki/The_Witness_(2016_video_game)
3•tosh•39m ago•0 comments

UntitledSource – Watch the VOD on Kick

https://kick.com/untitledsource/videos/019fdc9c-d308-7801-a096-69fdff17311e
1•untiledsource•43m ago•0 comments

Clone latency on FSx for OpenZFS: from 10 minutes to 16 seconds

https://stagdb.com/blog/fsx-openzfs-clone-latency/
1•aayush-kosh•45m ago•0 comments

Planned satellite megaconstellations could generate runaway space debris

https://www.science.org/content/article/planned-satellite-megaconstellations-could-generate-runaw...
3•sbulaev•47m ago•0 comments

New Mexico Survivors' Truth Commission – Jeffrey Epstein at Zorro Ranch [pdf]

https://bloximages.newyork1.vip.townnews.com/santafenewmexican.com/content/tncms/assets/v3/editor...
7•embedding-shape•47m ago•1 comments

Show HN: BotWave – A simple way of playing with FM using Raspberry Pi devices

https://botwave.dpip.lol/
1•douxx•49m ago•0 comments
Open in hackernews

DeepSeek V4 Flash 0731

https://arcprize.org/results/deepseek-v4-flash-0731
77•tosh•58m ago

Comments

tosh•56m ago
results comparable to gpt 5.6 luna but cheaper

promising!

minimaxir•46m ago
Since the x-axis is log-scaled, DeepSeek is much cheaper than visually implied (mousing over the raw values, it's 1/4th the cost of Luna).
literallyroy•37m ago
Is this pricing from Deepseek with training on usage?
minimaxir•34m ago
Per the announcement tweet, BaseTen was the inference provider which has 20% cache cost that is typical: https://www.baseten.co/library/deepseek-v4-flash-0731/
LUmBULtERA•29m ago
Is it still cheaper than Luna if using an OpenAI subscription? My gut is no, but I have not done the math.
minimaxir•23m ago
Everything is cheaper if using a subscription, but some applications require API usage.
minimaxir•53m ago
It's always fun when Max reasoning is cheaper than High reasoning.
542458•46m ago
Kimi K3 was an interesting model only a month ago, and now we're looking at the same performance for 1/20th of the price. Wild how fast this is advancing.
whinvik•43m ago
Yeah either the benchmark isn't very useful anymore or V4 Flash is a really, really good model.
ignoramous•26m ago
In my use, DeepSeek v4 Flash (which replaced the quite excellent MiniMax M3) lags behind GLM 5.2 & Muse Spark 1.2 (let alone Kimi K3). Also, K3 is a much bigger multi-modal model, while Flash is text-only and likely optimised for coding tasks.
thehamkercat•26m ago
And now nobody seems interested in it because the price hasn't gone down

it's still $3/$15 for all providers on openrouter

because of some Kimi license

https://openrouter.ai/moonshotai/kimi-k3#providers

muricula•42m ago
Price is confounded by VC subsidies, economies of scale, and inference optimizations. I think a more interesting chart would be ARC AGI vs forwards pass flops or ARC AGI vs training tokens. Of course we don't have those numbers for the closed source models or even some of the open weight ones.
minimaxir•37m ago
DeepSeek V4 Flash 0731 is an open-weights model which means price is determined by competition/invisible hand of the marketplace: https://openrouter.ai/deepseek/deepseek-v4-flash-0731

With the exception of cache costs, all providers have similar input/output costs.

kennywinker•31m ago
Not counting the cost of making the model, which is subsidized by… someone? The chinese gov i think?
npn•36m ago
weak argument. deepseek v4 flash is open weight, you can easily find other providers with competitive price with Deepseek (except for input caching), some even half as cheap.
luyu_wu•41m ago
It is wild that this a log scale of cost to me!
LaurensBER•41m ago
I've been using it extensively since the release and the best summary I can give is that it's good enough to use it for (almost) everything and cheap enough that the cost are irrelevant. I'm running it in Oh My Pi with a second instance running as "advisor" and even with 5-6 active sessions (effectively 12 streams) I'm struggling to spend more than 5 bucks per day.

OpenCode Go even has double limits temporarily so for 10 USD you effectively get 140 USD of tokens to spend. It would impress me if someone could burn that amount with "normal" usage. Even when running multiple sessions.

I have a Claude Max subscription but I've barely touched it, it just feels like a step back to have to think about limits and usage even though the models are stronger.

The beauty of intelligence at this cost (even if it's not SOTA) is that it opens a whole bunch of new use cases. Test failure in CI? Have the bot automatically propose a fix, its cheap enough that you can discard it w/h issues. Test coverage too low? Auto generate tests on CI for every pull-requests! Monitoring server logs, continuous security audits and investigating every received exception now becomes possible.

I'm thinking about having it automatically filter and re-rank my social media feeds so I can steer the algorithm instead of the other way around.

Perhaps other people (with enormous budgets) were already doing all of the above but for us this is a really exciting release!

Aeolun•38m ago
But DeepSeek now has a warning they’re going to sharply increase their API pricing sometime in the future.
metadat•36m ago
Source?
striking•34m ago
https://www.reddit.com/r/DeepSeek/comments/1vgpysh/deepseek_...
CharlesW•40m ago
Last weeks's discussion (591 points): https://news.ycombinator.com/item?id=49120299
antirez•40m ago
Price is not a good meter. Active parameters per token are. Joule would be even better.
minimaxir•22m ago
Price accounts for computational/architectural efficiency improvements whereas active parameters does not.
orbital-decay•10m ago
It's an excellent metric, the amount of applications not viable now due to cost/latency/throughput is vastly bigger than the amount of current use cases. Even current ones do benefit, e.g. it's a great executor subagent.

Energy and intelligence are good too, sure.

surprisetalk•38m ago
This reminds me of those pareto-style speedrun record charts when a new glitch is discovered.

[0] https://taylor.town/silver-landmines

When I see dramatic leaps like this, it tells me that the important hacks haven't yet been discovered.

clayhacks•38m ago
Why wasn’t this run against ARC-AGI-3? Or did it fail to solve anything?
esafak•37m ago
It's serviceable but, like many Chinese models, it uses a lot of tokens to get work done.
Havoc•33m ago
They did recently announce they're increasing prices though (got a mail yesterday I think), so not sure this analysis showing it as price outlier will last
minimaxir•30m ago
That is only when using the DeepSeek API directly. OpenRouter has 24 different providers serving it at existing prices.
dcchambers•31m ago
This latest DeepSeek is almost at the "too cheap to meter" level. That's going to be a larger unlock than models like Fable/Mythos that are way too expensive to justify, IMO.

What secret sauce do they have?

throwaway_95283•10m ago
limited resources, no modern GPUs, no $10 billion dev budgets.

pair it with codewhale, 50 agents, 200 MB of ram.

gentlewater•28m ago
I’ve been refreshing hacker news constantly for a week now waiting for v4 pro, after they stated it would follow «soon». I have learnt «soon» is a matter of definition.
mosura•14m ago
I strongly recommend trying this for programming tasks.

It is strong (not Fable strong though) with a much better “persona” than Opus, and very different blindspots. If you flip between Claude and this you will find both catch the mistakes of the other before they get out of control.

On balance I actually prefer DeepSeek for programming now, because of the way it talks.

dolebirchwood•34m ago
If you're on the DeepSeek Platform, you'd see this:

"We plan to raise the overall pricing for DeepSeek API services in the near future, with a significant increase expected. Please plan your usage accordingly. The specific pricing plan will be subject to official notice."

LaurensBER•34m ago
Dax (from Opencode) has tweeted that they can replicate or beat the price with rented GPUs. Deepseeks secret sauce is the incredibly cheap caching (magnitude cheaper than other providers).

vLLM has recently released a similar approach. It's not as effective as what DeepSeek does but still an interesting development.

I have no doubt that in due time other providers will match or perhaps even beat the current DeepSeek prices.

NorwegianDude•28m ago
Eh, what are you guys even talking about? Deepseek is not cheapest provider as is, and it's MIT. So deepseek making it more expensive to use is just nonsense, they can only change their own pricing. It's the beauty of MIT license and open weights. If anything, these models are some of the safest in the world to use if you worry about a rug pull.
akman•21m ago
90%+ cache hit rate is common, and so you'll see on places like openrouter that Deepseek cache cost is indeed a magnitude cheaper than the rest.
LaurensBER•14m ago
There's more to inference than just the input/output token cost. Caching has a massive impact.

Deepseek charges $0.0028 per cache read on Openrouter. The next cheapest is $0.018.

That's a massive difference and quickly adds up on coding sessions (which often hit 95%+ cached tokens).

retinaros•20m ago
any link to this caching tech?
LaurensBER•7m ago
[Feat][Core] Add disk offloading support to SimpleCPUOffloadConnector — #49644 https://github.com/vllm-project/vllm/pull/49644

This adds disk as a tier in the HBM → CPU → Disk KV cache hierarchy.

There's also a cluster of related KV-offload FS PRs: #49225 (read/write batching, still open) and #49152 (batch store/load in C, merged Jul 28).

It's hard to say if these are similar to the approach DeepSeek takes but they definitely seem very interesting.

minraws•12m ago
As someone who recently tried it on some blackwell cards, it's possible to match the prices especially the input can be even cheaper and output can match the costs so you can easily build a net 20-30% margin business even at current GPU prices.

The entire issue is caching, I tried to write some custom to dump to disk kv-caching using some ideas from their papers and my experience with snapshots and vm checkpoint systems, I must say they must have really squeezed that lemon it's hard.

Atleast me with Sol couldn't figure it out over a couple days, a few hours each day, which isn't much but I did feel a bit stuck with existing solutions and felt like I might have to write something from scratch. But if you are willing to put in the effort into the infra I do think it's doable. But it will be really hard to pull it off.

My congrats to anyone who manages to pull it off, they might be able to kill off most AI labs. Assuming they can find the compute, Deepseek really has killed all models for me other than Sol/Fable/Opus/K3 tier stuff.

onlyrealcuzzo•7m ago
> Deepseeks secret sauce is the incredibly cheap caching (magnitude cheaper than other providers).

Can anyone working at one of the main US labs (Google, OpenAI, Anthropic) comment on WTF they haven't even tried MLA - despite the obvious massive advantages?

I know enough to know they aren't completely incompetent. So there must be a quite good reason.

But it remains a mystery to me.

DeepSeek's MLA is like almost 2 years old at this time. They've got thousands of people working on this stuff. They clearly have the ability to at least try it...

ms8•27m ago
Yes, there is warning, but also there are many providers on OpenRouter[0], hosting open weight model with similar pricing. The question is Will they go up as well?

[0] https://openrouter.ai/deepseek/deepseek-v4-flash-0731#provid...

HSO•10m ago
even if they double it it`s from such a low base it is still supercheap
anramon•34m ago
>even if it's not SOTA

And, probably 99.99% of people using LLM probably don't even need SOTA anyway.