HN user
I think it's all about incentives. The power to governance was given to prolific and tenured accounts who wanted to govern. Over the long timeframe their incentive averages to making their life easier and keeping the governance. Wikipedia is going through something similar.
Worry not, Pelicans on bicycles had been ranking pretty high on your favorite search engine for a while. I struggle to imagine a world in which it was not already scraped and turned into training data by at least one provider:
1. Models need to be good at the questions we ask them, not the questions we could ask them.
2. The questions, at least partially, are correlated with information people consume.
3. People mostly consume viral content.
4. Ergo you should scrape viral content for training data.
The author does not call it out, but I think the point is that it's not only the dock. I've been struggling with MBP wakeup issues for a while. We have a whole zoo of various apple devices attached to a number of docks. All of the monitors are Odyssey Neo G9. TL:DR an issue with MBP port, MBP to Dock link, Dock, Dock to Monitor link, or the monitor itself could cause the unplugging dance.
In addition, it takes some time for Apple to squash bugs after releasing new hardware or software. M5s used to be unreliable with Anker TB4 until 1-2 months ago.
Be honest now, it would take at least a few months for the rest of us.
My understanding is that, if confirmed, this demonstrates that AI can find novel solutions. This is a strong counterpoint to generative-AI-is-strictly-limited-to-training-data.
It's almost like it is based on the training data and regimen that is largely the same between versions.
I really enjoyed fantasy part of many small farmers. It felt rustic. However based on my understanding the modern world is moving towards megacorps and economies of scale.
Why is that?
it doesn't dramatically reduce screen brightness or image quality.
AFAIK it significantly decreases the brightness. Jerry Rig Everything demonstrates this here - https://youtu.be/TRW4W7KkJXs?t=32
Yes
Servicing is not done by Apple, it's 3rd party contractors. They have a rubric of possible issues from Apple and their profit margins are thin. I suspect contacting Apple support about Apple support issues would have resulted in a swift replacement of the item.
Will need to wait for real benchmarks, but based on OpenAI marketing Instant is their latency optimized offering. For voice interface, you don't actually need high tok/s because speech is slow, time to first token matters much more.
Apple seems to be pushing for accessibility and volume. Cheaper phones, mac minis, and entry point mac that will be introduced on Wednesday.
Exceptionalism says we have best of everything, including idiots.
What if, and hear me out here, "You don't have to"
No, what he is saying is that benchmarks are static and there is tremendous reputational and financial pressure to make benchmark number go up. So you add specific problems to training data... The result is that the model is smarter, but the benchmarks overstate the progress. Sure there are problem sets designed to be secret, but keeping secrets is hard given the fraction of planetary resources we are dedicating to making the AI numbers go up.
I have two of my own comments to add to that. First one is that there is problem alignment at play. Specifically - the benchmarks are mostly self-contained problems with well defined solutions and specific prompt language, humans tasks are open ended with messy prompts and much steerage. Second is that it would be interesting to test older models on brand new benchmarks to see how those compare.
You can chain normalized quaternions to combine or diff transformations. For example you can subtract desired attitude quaternion from predicted attitude quaternion to get attitude error quaternion which you can then feed to control algs designed for driving that error to zero. This is even more important when multiple frames of reference are involved as quaternions can be used to transform between them.
Sure, and there are a ton of ways to shifting income around. For example selling a subsidiary in lower tax jurisdiction patents and then paying for their usage. Another example is Hollywood accounting where productions pay exorbitant rates for equipment and catering to affiliated companies. This inflates the costs so the movies end up unprofitable despite smashing box office.
Huh, that is kind of amazing. It turns out the problem is that we got way too good at scaling semiconductor density.
It could be as simple as links. People drop links in the slack discussions, other people from Geolocated IP addresses (or same) click on them. Google analytics et. al. hovers a lot of data.
Or perchance it is the other way around. The word started as official term and over time got shady connotation because can't trust Big Government.
Good intuition, that is generally how radiators work in space.
I can see that you are committed to your current level of understanding.
No. Apple PE ~33 implies ~14% EPS growth over the next 10 years, seems achievable. YOY Apple is ~10% and silver is over 270%.
Aha, make it drab, soviet, and raining filter. Peak hipster, I love it.
But an "asset" to lose 30% of its value in a day... Wow!
When prices are determined by speculation it do be do like that.
If I was cynical I would assume that manufacturing emergencies was the whole point.
The repo still compiles. No one knows why.
Penultimate commit refactored dispatch to bootstrap reality when accessed any means. Comment on the commit is "made things deterministic by sidestepping heisenberg principle".
In litigious countries confirmations and alerts also serve as a mitigation against lawsuits.
CPU: Dual-core 300MHz ARM Cortex-M4F
It's absolute bonkers amount of hardware scaling that happened since Doom was released. Yes, this is a tremendous overkill here, but the crazy part here is that this fits into an earpiece.