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| التاريخ | نمو المشتركين | الإشارات | القنوات | |
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منشورات القناة
Re: AWS: Inaccurate Estimated Billing Data – $1.7 billion
Ive dealt with this error at AWS. It’s a unit error. In my case we _meant_ to charge like 5¢/GB, but missed the unit (GB), and then the billing system defaults to bytes. 5¢ per Byte of data transferred meant some customers were seeing MM bills within hours. Got paged by support around 2am, had it fixed and amendments issues by 3-4am, apology emails shortly after.
Services emit metering values that arent directly tied to prices. Every SKU/line item is defined in a “pricing plan”, with a unit type, regions, and price per unit. The metering records are joined to a pricing plan based on account id, region, sku, etc. mess up the unit type in the pricing plan and the metering data conversion doesnt work, and you get crazy bills.
donavanm, 7 hours ago
| 2 | Re: AWS: Inaccurate Estimated Billing Data – $1.7 billion
Ask for some leniency. Let your account rep know about your budget difficulties and ask if you can make good faith payments of a few billion per month until you get back on your feet.
rboyd, 9 hours ago | 221 |
| 3 | Re: EEG shows brain can simultaneous encode two speech streams
Related, but this reminds me of the story by Richard Feynman [1] when he practices counting up to 60 seconds in his head, and after many experiments around what he can do simultaneously conclude that he can simultaneously count and read but not speak. Later sharing this to John Tukey, he's told that Tukey can't read while counting but could speak while counting.
Turns out Tukey is visualizing looking at a tape, while he counts, while Feynman imagined himself talking to himself, so he couldn't speak while counting but Tukey couldn't read while counting
>By that experience Tukey and I discovered that what goes on in different people's heads. when they think they're doing the same thing - something as simple as counting - is different for
different people. And we discovered that you
can externally and objectively test how the brain works: you don't have to ask a person how he
counts and rely on his ownobservations of him-self; instead, you observe what he can and can't do while he counts. The test is absolute.
There's no way to beat it; no way to fake it.
>It's natural to explain an idea in terms of
what you already have in your head. Concepts
are piled on top of each other; this idea is taught
in terms of that idea, and that idea is taught in
terms of another idea, which comes from count-
ing, which can be so different for different
people!
>I often think about that, especially when I'm
teaching some esoteric technique such as integrat-
ing Bessel functions. When I see equations, I
see the letters in colors-I don't know why. As
I'm talking, I see vague pictures of Bessel func-
tions from Jahnke and Emde's book, with light-
tan j's, slightly violet-bluish n's, and dark brown
x's flying around. And I wonder what the hell it
must look like to the students.
[1] https://calteches.library.caltech.edu/3591/1/Feynman.pdf
NalNezumi, 10 hours ago | 224 |
| 4 | Re: AWS: Inaccurate Estimated Billing Data – $1.7 billion
Wow:
In this role you will:
- Design and build agentic AI systems that analyze, generate, and validate...
- Build agentic architectures that compose specialized AI agents dynamically...
- Build AI-driven continuous validation frameworks powered by agentic workflows and large language models that autonomously manage...
This is invoicing? If ever there was a domain that was purely deterministic, you'd hope it was invoicing.
ibejoeb, 6 hours ago | 211 |
| 5 | Re: The state of open source AI
Speculation: open models is what will kill Anthropic and OpenAI. Hyperscalers can run the models without a licensing fee. Apple can make them smaller and put them on the device.
The frontier models are an edge and a liability. They're astronomically expensive to train. Without them, their models will fade into obscurity. Their marketing depends on people believing the models are meaningfully different, as people have sweatily argued on this forum. Personally, I'm not convinced there's much of a difference between these models at this point. The harness is what takes these random and hallucinogenic models and make them into something deterministic and useful.
babblingfish, 6 hours ago | 210 |
| 6 | Re: Evidence of inconsistencies in evaluation process and selection of winners
I think we need to address the underlying causes of people outsourcing their thinking like that. And a big contribution is “move fast.” No one has time to read, process, and think, because The Powers That Be (capital) want their results now.
jagged-chisel, 5 hours ago | 339 |
| 7 | Re: AWS: Inaccurate Estimated Billing Data – $1.7 billion
Apparently what used to be `GB of storage consumed` is confused with `Bytes of storage consumed`, leading to a cool off by 2*30 error.
> You're right to question my calculation. The MCP server failed to connect when I tried to look up the field definition. I guessed instead of validating. This is on me. But look at all the revenue!
lukaslueg, 7 hours ago | 340 |
| 8 | Re: Kimi K3: Open Frontier Intelligence
This might be the most impressive website generator demo I've seen:
https://macos27.kimi.page
Context from the person who prompted it: https://x.com/mweinbach/status/2077827886149439547
anigbrowl, 13 hours ago | 350 |
| 9 | Re: AWS: Inaccurate Estimated Billing Data – $1.7 billion
I got 3 consecutive emails warning that my budget crossed its $18 threshold. Opened it up: cost was 78 million. Thought it was a phishing attempt, logged into my actual account, and... still 78 million. EMOTIONAL DAMAGE.
yuchen20, 6 hours ago | 346 |
| 10 | Re: NotebookLM is now Gemini Notebook
Me:
Ok so I'm going on a walk. I'll dump a link to a Hacker News
discussion about an article.
You have to read the article and the discussion and walk me thru
all the interesting details, nugget by nugget, and move on when
I'm ready for the next piece.
ChatGPT Live:
ok, Great show me the link, I'm waiting.
(I paste the link)
Me:
Ok I pasted it. Now go.
====
For the Socratic quiz I say:
I want to understand this more deeply. So instead of you just telling me
everything, lay out the problem and a question for me to think about, and
I'll try to answer. Even if I answer wrong, you should resist giving me the
answer, and instead keep digging with more questions, so that I eventually
arrive at the answer myself.
I also have a Socratic quiz skill that I wrote for using in Claude Code or Codex
to understand implementations/architecture etc:
https://pchalasani.github.io/claude-code-tools/plugins-detai...
d4rkp4ttern, 20 hours ago | 430 |
| 11 | Re: Blatant AI slop just won a 25k USD DeepMind Kaggle Grand Prize
AI is useful. But the amount of people that are simply offloading all of their thinking to AI and blindly accepting the answer is absurd. Kaggle is most likely using ai to assess the submissions and are not using any common sense by blindly accepting the results.
ecshafer, 2 hours ago | 467 |
| 12 | Re: The human-in-the-loop is tired
> Here's a term for what I think is happening: the human reward function problem. In machine learning, a reward function tells an agent what good looks like. Writing code by hand was never easy, but it was full of small rewards. Solving a problem in your head. Understanding a gnarly bit of logic. Watching the code compile. The feeling of control. LLM-assisted programming has automated much of the work that generated those dopamine hits and replaced it with the cognitive load of review and supervision. The satisfying part shrank. The exhausting part grew. And there are no new rewards to fill the gap.
Say what you will about the Claudisms in this piece, this bit certainly rings true for me. With old school coding, there was always a reward at the end, the harder it was, the more satisfying it felt.
With agentic coding, I really doesn’t feel like that, at least not in the same way. It feels more like continually riding a wave of productivity, where small features or huge features have similar levels of interaction required. And that’s exciting in the beginning but quickly becomes very tiring.
appplication, 10 hours ago | 493 |
| 13 | Re: Kimi K3: Open Frontier Intelligence
So Chinese labs are driving essentially towards commodotized intelligence. Even if its a few months behind the US.
Is this a classic 'commoditize my compliment' situation? They want to sell the hardware and infrastructure behind AI and make the software part not the value driver / moat?
I can see it. But also even two Chinese labs sinking 100s of millions USD into training isn't exactly commoditization. It's still a ton of effort with dubious payoff.
softwaredoug, 15 hours ago | 472 |
| 14 | Re: $100 AI Music Video: Claude Fable 5 vs. GPT-5.6 Sol
Like most of this stuff, it's obviously impressive technology compared to what existed a few years ago. But the end product has zero artistic value. It's a grey goo of the average of every concept picked up from the concept of the song.
A talented creative with a vision could make something more interesting and enjoyable in an afternoon with a $0 budget.
hbn, 7 hours ago | 472 |
| 15 | Re: Kimi K3: Open Frontier Intelligence
If there was some grand strategy for all Chinese labs, surely it'd have leaked by now. I think its more likely that:
- Companies can still make money from commodities
- Chinese labs only have 5-10% the valuation of OpenAI/Anthropic, so massive monopoly profits aren't necessary. Profit expectations for tech companies in China are really low in general, complete opposite of the US.
- Open weighting is a great way to get talent/attention/reputation
x313, 15 hours ago | 454 |
| 16 | Re: Kimi K3: Open Frontier Intelligence
> Chip Design
> As an early proof of concept, Kimi K3 designed a chip to serve a nano model built on its own architecture. In a single 48-hour autonomous run, K3 built, optimized, and verified the chip using open-source EDA tools on the Nangate 45nm library. Within 4 mm², the chip closes timing at 100 MHz and sustains over 8,700 tokens/s decode throughput in simulation, packing 1.46M standard cells, 0.277 MB of SRAM, and an INT4 MAC array with fused dequantization. A chip built by a model, for a model, reflects K3's long-horizon agentic capabilities.
Absolutely wild.
lukebechtel, 11 hours ago | 749 |
| 17 | Re: NotebookLM is now Gemini Notebook
When notebookLM was new, it was interesting to listen to the podcasts. Then the novelty wore off, and I wanted something where I can interact with the podcasters but it was janky as hell.
My current “audio-learning” hack is ChatGPT Live which has become shockingly good after being awful compared to Claude Voice
(Let’s not even talk about Gemini voice which is still bad).
I go on a walk and dump a paper or article link in the chat, and ask chatGPT Live to walk me through the content in small nuggets, so I can discuss them interactively. For deeper topics I have it quiz me Socratic style so I’m not just passively listening, and actually thinking through problems or ideas.
d4rkp4ttern, 9 hours ago | 550 |
| 18 | Re: Kimi K3: Open Frontier Intelligence
Pelican: https://tools.simonwillison.net/markdown-svg-renderer#url=ht... - rendered via the OpenRouter API: https://openrouter.ai/moonshotai/kimi-k3
95 input, 16,658 output = 25 cents! https://www.llm-prices.com/#it=95&ot=16658&ic=3&oc=15 (13,241 of those were reasoning tokens.)
I think that's the most expensive pelican I've rendered through a Chinese model so far.
simonw, 10 hours ago | 519 |
| 19 | Re: The lost joy of music piracy
It's important to remember that to this day, streaming sites do not have a full archive of the music out there. There is still a need for music piracy
Even albums mentioned in the Norwegian business magazine D2 can be impossible to find in legit channels. Your only option is to buy used CDs on Discogs for 50-100 USD, or know your way around the successors of these sites
These CDs weren’t even on Oink or What (or did not survive the transitions)
https://www.dn.no/d2/musikk/stena-line/lars-holte/spotify/ha...
eisa01, 17 hours ago | 491 |
| 20 | Re: Kimi K3: Open Frontier Intelligence
> its overall intelligence ranks second only to Claude Fable 5 and GPT-5.6 Sol
Pretty sure ranking “second” to two others means ranking third.
paxys, 9 hours ago | 463 |
