Show HN: Listen to Hacker News and Create Podcasts
HN,I love creating podcasts about anything. But existing services took too long and were too hard to configure.I've built this to be remarkably fast and fun. Enjoy!Brandon
HN,I love creating podcasts about anything. But existing services took too long and were too hard to configure.I've built this to be remarkably fast and fun. Enjoy!Brandon
There are attention mechanisms that help to mitigate this, but you can clearly see in the chart that Tibo posted that the attention mechanisms they are using are still scaling quadratically.
This becomes an optimization problem for token t:
min f[cost, quality loss] = compaction cost[t] + compaction quality loss[t] + token cost[t]
The topic of LLM jailbreaking is an important one. As machines increase in power their ability to benefit society increases, as does their ability to harm society.
This paper intends to address the question: "Is it possible to create a perfect universal guardian against LLM jailbreaks?". This means:
Universal: applies to all prompts and input combinations Perfect: is able to successfully distinguish harmful versus not harmful Computable: is feasible to compute We show that this combination does not exist and Request for Comment.
A more feasible approach involves post-hoc filtering of results, which involves an easier problem of decideability. In order to implement such approaches, both reasoning traces an intermediate code changes would likely need to be hidden from the user until the results are determined.
Note: this paper was written in conjunction with ChatGPT 5.5 Pro. The topic of the reducibility of such problems to The Halting Problem has been top of mind for me for some time. In one sense, it is a trivial conclusion. Yet it is one of high importance.
However, as document lengths increase: 1. It is wasteful to put the entire context in memory 2. It can reduce accuracy by providing less relevant information 3. Increase the possibility of errors during edits
Inspired by Cloudflare's Markdown Content Type and Code Mode, we propose a lightweight document object model for Markdown to: 1. Reduce costs 2. Increase the accuracy of locating key sections 3. Increase speed 4. Increase the accuracy of editing documents
Given that we are in unprecedented economic times, a fantastic economic simulator would be very valuable.Not because it would be correct. Rather because it could potentially identify high probability situations we haven't thought of.What are the best projects of the kind that you're aware of? Does anyone know how this is done at the Federal Reserve?
https://www.amazon.com/gp/product/B07F1DB2F7/ref=ppx_yo_dt_b...
On timing – I just had to start planning a bit better. In worst case I'd start the meeting without video and turn on a minute or two in. Well worth it for me.
I've had dozens of people comment how clear my camera is. Many now purchased a similar setup. I used OBS for a long time since it was free, but the quality wasn't close.
If you're in a line of work that requires you to stream it's a worthwhile investment by a great company that just keeps getting better.
As you can see, the rates don't map to any significant overcollateralization.
To do this correct you'd need purchases and sales versus assets.
All that said, it's why I put a rough estimate of 30% (instead of 60%) and hadn't included any losses in broader commercial paper (which has dropped). So the overall estimate is defensible.
Also agree on Basel 2-like risk. The primary issue with Tether is the marketing around stability and the transparency. If it was treated like any other "money market" with better NAV reporting, position reporting and rules around withdrawals then we'd mitigate some of the risks.
A lot of protections have been put into place since then. There's a reason we prosecute Ponzi schemes, offer FDIC and SIPC insurance, stress test banks, etc.
I've provided details here: https://twitter.com/brandonjcarl/status/1536310742261047296?...
By itself that's not enough for Tether to "fail". It does mean that the asset is in a position of very high risk and subject to a run.
All of the results come back gibberish. The results in the training data seem just fine. Curious if you've tested the above to ensure it didn't overfit.
There's obviously been a lot of buzz around wireless charging (see uBeam and Witricity). These guys have been addressed in years past on HN, but given rumors swirling around potential Apple integration would like an intelligent discussion around Energous' technology/patents. It appears to me that they are utilizing the RF portion of the spectrum (as opposed to the sound waves that uBeam...
At $100mm in revenue, and an assumed $60 order price, you've got 1.6mm orders. Assuming 25% of people pay for faster delivery, you've got gross revenue per order of $4.50, or gross revenue of $7.2mm. If Instavart takes a 30% share (similar-ish to Uber and iTunes), you're looking at $2.2mmin revenue after paying contractors.
So that would leave you with 2.2% of sales as your margin after contractors. This obviously changes if they mark up the groceries or if the assertions are different.
Out of interest, a 15 P/E on 2bb would correspond to a 60x grow in their market (ish). They currently represent about 100mm of Whole Foods 15bb take, or about 0.67%. A 60x increase would take them to managing 40% of Whole Foods orders, given no expansion into other grocery chains.
This is a lot of hand-waving, so please take it with a grain of salt.