origini
Unfortuna another documentary about people with Down Syndrome were more heartbreaking. A young girl got told from a doctor that not only shouldn't she get to try pregnant, the chance is very low already and that she has other medical concerns she needs to handle.
Not something she could handle without a proper care taker though.
I wanted to do street photography too, I never did.
Drugdiscovery has also a lot of physics involved btw
And you said ML yourself. You do understand, that the current LLM explositon also means that ML in itself gets more funding and now infrastructure for ML itself got easier to get, cheaper and faster right?
And yes for sure bigger and better LLMs can help: Alone for finding potential better or more optimized experiments, there is value in an LLM having all the current research in context.
For me its not a solved problem and AI/ML would still help to solve plenty Drugdiscovery in itself is such a broad area
There are still normal labs out there doing research for years on one drug alone
And biology of humans is huge and complex, not only is it not solved, its also expensive.
Even if you just not do ML drug discovery, AI can hellp with making the research faster: writing grants, finding issues, creating plans/ideas/suggestions, hepling with finding the newest research, writing code for supporting or analysis, controling microscopes and machines.
But yes it will be very interesting if we don't reach any ceiling if another fitness function than "more money" will arise or not.
I'm not seeing any slow down right now and I would call myself also a more diverse person knowing and acting on more than just software development. I don't have the feeling that i had to learn that many extra skills to try myself on other topics.
IF the world models or LLMs learn to simulate at runtime, they can simulate a task and do adhoc RL.
And i'm looking forward to it to a certain degree. If progress is not stopping or showing any slowdown, we will run either in very basic physical limits or we will continue having quite an interesting time ahead.
But Physical AI is on the path to be done in 30 years.
1. just don't give your TV internet and use another device on the HDMI
OR
2. Buy semi professional network infrastructure from companies like ubiquity: They support a feature called VLAN: You can put your tv into the privacy VLAN and just block internet access on your network layer, or you could filter stuff etc.
AI is here 'suddenly'.
Let them discuss this out, let them go through the emotions.
And its unclear today IF we still need anyone doing anything in 5 years or not. In theory we could also just freeze 90% of things we do and put everythig into AI as a human race and just let AI do everything in 5 years.
We are not doing this because we don't know yet if it will play out like this, we don't know how much a human still needs to understand.
And to be clear, what you see as a 'problem' is just a capitalistic issue, not a human race issue: Its absolutly fine for us as humans to persue understanding for the sake of it
We probably transfered more code/codebases and company secrets to random endpoints than ever before.
Btw. you could setup a sandbox and limit access
Big companies are not just 'Company' they are a lot of small teams doing their own things. They need to coordinate with other people for public announcements etc. and security team is probably also looking at it.
And its a second layer: fractional deposit ONTO fractional deposit.
Set proper boundaries and draw a line. If you can't help them, they are still humans on the same planet and live their first and only life.
Empathy shouldn't stop even if 'the worst kind of human' is getting electrocuted.
Seeing why a person is who they are, their cirumstances, their unability to grow, etc.
I don't hate people just because they are 'bad'. I ignore them instead or try to interact with them as far as I can enjoy it.
You know that one weird/bad/off/agressive/whatever parent or familiy member or friend or neighbour.
Self reflection is a skill, change is hard, acceptance is hard and even with all of this: world views differe for different reasons.
Dementia in this case might be a lot easier to 'grasp' than "Oh mother had a bad upringing and no friends telling her what good/bad is" or whatever it is.
Its crazy to see how we can now do things which were not thinkable a few years back.
Finally i read real progress i can see and use by myself and not constantly some crypto and blockchain stuff.
While I would like to have a stable world/live and for sure AI is disruptive as hell to a lot of people and potentially to me too, at least progress of technology i can't stop.
And i thought about automatistaion for decades for sure, I don't play devils advocate and thinking "yeah its great that we invented the loom" while hating AI for what it is: tech.
In worst case I only watch one 45 minute ai summary video from my YT channels, but I do have a lot of random small experiments i'm playing around with anyway.
What i discoved though: if you never go above 20$ subscriptions, you hold yourself back because you don't think about approaching bigger experiements.
The others are surviving
Either yo utry it out and come to your own conclusion or not?
And you do not know what their particular usecase is for work.
You take 1 $ from someone and give them a token, now you have money the other not. In theory you need to make sure you keep the 1$ but you want to pay people and you are greedy so you invest it and suddenly everyone is broke.
Geothermal and water.
If than there is still some oil/gas we need to burn and haven't build long DC lines between sunny area and non sunny, its perhaps fine or we start that much that we just generate methan
Space-Tesla installed 3 GWh in 2026 alone.
For sure it was less to review, less options but still.
So what did you use? I used things like Reviews, skimming through, getting a referal through a blog or hn and buying from reputational sources.
HN is a filter. Same as all the other things we have.
Yes the latest chip is better but the rumor is that the M7 has either more/better parts for LLM math OR that it has significiant changes to memory bandwidth too.