So this whole app exists because Signal doesn't have a way to archive messages on iPhone. Maybe they should take the hint and see that this is actually something a lot of people would find useful, instead of keeping it the backlog for a decade.
It must be. Most people I know got their first cell phone in 1997. That year over a few months it went from almost noone has a cell phone, to almost everyone having one.
Deep search/deep research in grok, chatgpt, perplexity etc works much better. It can also do things like search in different languages. Wonder about something in some foreign country? Ask it to search in the local language and find things you won't find in English.
Can Claude Code also be a devops agent or is it only for coding?
I currently use Cursor as a devops agent, I use the remote ssh extension to ssh into a VM, then Cursor will set up everything, I make snapshots on way in case it fucks up. It's been really great to quickly be able to setup and try out different infrastructures and backends in no time at all. It works well enough that I now do all my development using remote dev with ssh or remote containers on the a server. Having a virtualized dev environment is a great addition to just having git for the code.
Gogole is great for one thing: brainstorming, and brainstorming is only useful if you have no idea what to do in the first place. Once you know _anything_ substantial about the subject matter Google loses its value to you.
It seems likely that HPPD, if it doesn't go away by itself, can be cured by 50-200 hours of practicing focusing on the noise and then trying to consciously move it, changing its colors etc.
But not multimodal reasoning, the intermediate and output tokens are text only, at least in the released version, they probably have actual multimodal reasoning that's not been shown yet, as they already showed gpt-4o can output image tokens,but that's not been released yet either.
This stuff works, it's just that people interpret what's happening in different ways. You can believe you are visiting an astral plane that is a separate physical dimension or whatever or you can believe you are essentially having a type of lucid dream. There are people who believes regular dreams are seeing the future or visiting alternate dimensions. That doesn't mean dreams don't exist, but it also doesn't mean that dreaming is traveling to some alternative physical reality.
The trick with AlphaGo was brute force combined with learning to extract strategies from brute force using reinforcement learning, that's what we'll see here. So maybe it costs a million dollars in compute to get a high score, but use reinforcement learning ala alphazero to learn from the process and it won't cost a million dollars next time and let it do lots of hard benchmarks, math problems and coding tasks and it'll keep getting better and better.
For important sites like your email you'll add multiple passkeys. On less important ones you can just reset which passkey you use to login, using your email, if you lose one of your passkeys.
The ERV itself is for removing CO2, not dust. Especially in cold climates where houses are built to be as air-tight as possible, these are a necessity. Even if you lived in a forest cabin you'd want filters to prevent too much dust and pollen. I've got a dual filter on mine, HEPA and activated carbon filter. The HEPA filter removes dust and pollen. I've found that if I don't use the carbon filter I get higher than recommended levels of NOx.
It's possible, in the same way that embedding telemetry in a jpeg image is possible. There may be bugs in the libraries reading the data that could possibly be exploited for allowing arbitrary code execution. Now, if they did so, it's likely to be found out at some point and nobody would trust them any more.
Yeah it does form a clot and a thin skin layer, but it remains somewhat like a wound much longer and is easier to hurt again than scar tissue covers up a wound quite quickly.
Some animals regenerate, some form scar tissue. It's thought that scar tissue is a cheaper and faster mechanism than regrowing limbs and has thus been selected in many cases.
For one, thinking LLMs have plateaued is essentially assuming that video can't teach AI anything. It's like saying a person locked into a room his whole life with only books to read would be as good at reasoning as someone's who's been out in the world.
Pretty sure that once the pre-trained models used for this are pre-trained on lots of video and get larger (2-3 orders of magnitude larger than this), things will quickly improve. This may already exist in prototype form behind closed doors. Think how LLMs have improved since gpt-2 and gpt-3. Though I imagike it in real-time and cost efficiently may be a challenge.