Before /goal was ralph-wiggum it was def an interesting learning experience, it was interesting to see how Claude became a lot better doing this itself but it still took 6 Month and more.

You can wait and sit it out and suddenly you get fired if you miss the point when to start spending more time and energy on topics like this.

Long lasting infrastructure investments for longterm gains.

anyway russia has a high GDP for sure but guess what it did the last 4 years? It threw that money into ukraine without getting anything from it.

No new schools, no teachers / educated kids, no housing, no streets. Instead taking out massive loans, reducing their reservers.

And now no one is willing to buy russian bonds.

Russia is hurting itself A LOT and is now going after retirement money.

Russia HAS to start selling oil again but has to spend a lot of time and money on fixing what got destroyed while the war is still ongoing and the tacktik clearly shows how well it works. Ukraine will not stop tomorrow just because.

As long as russia is not winning or stoping this, its very very expensive for everyone in russia.

Collapse no clue how you would define it but at least from a world power russia already collapsed. The only two things keeping russia at this 'level' is their oil and the nuclear threat.

there is no law in war.

Please country a only fight with this type of attacks so that the people you kill are only people forced to fight against you to protect themselves but not the civilians.

War is war. You kill and destroy a country thats it.

Its not a conflict? Russia/Putin started to attack Ukraine. Thats it, russia is bad, ukraine is not.

Oh no don't use cluster bombs they are bad / different bad than normal bombs.

Btw. if countries like the USA wouldn't create cluster bombs, Saudi Arabia couldn't use them against civilians.

Its still crazy how much energy bitcoin wastes, how much energy bitcoin steals.

Ironic enough, if you know wwere a bitcoin millionar is, its a lot easier to steal from them too.

The best wp could do is cherry picking half a million meta people?

if Kimi is around 1-3tb big, even current DDR5 prices are at 15k.

And its Version 1 and an ongoing project.

"In the workplace, we show that while AI adoption spans occupations covering just above 88% of US employment, penetration remains shallow and overwhelmingly collaborative in nature, with end-to-end task automation limited in scope. Outside of work, AI spans activities making up about 98% of Americans’ non-sleep time, with disproportionately high use in high-friction tasks such as engaging with government and professional service providers, likely delivering economic value that standard national accounts may miss. Globally, adoption scales with national wealth and has broad linguistic distribution, with English queries representing only around a third of volume."

It sounds reasonable enough and it contains nothing off.

For me its interesting to read that english is less dominant and thats def something i was very atuned when GPT-3 came out: I started to write english and my native language and mixing up words etc. The quality of understanding in my native language is sledomly good when a new product comes out but it was very good already when using GPT-3.

In comparision to this, i'm also aware of a research paper stating that programming in certain languages like spanish is worse.

How much real impact is this really though?

I want to hope that this money will lead to more capacity, more R&D and lower prices in the long term again.

Nvidia would have changed its GPU strategy a long time ago if the demand wouldn't be real. They still can afford the GPU prices. But memory is not a monopoly.

For memory though i do assume a lot more people and companies want a massive amount more memory than ever before. I have 64gb in my pc for a few years now, i was quite happy with that. It became a no brainer. But today? Hey give me 100, 300 and even more. I really want to run bigger LLM models locally.

10 years ago i watched a talk about the problem of compute vs. memory. Compute increased significantly while memory speed did not.

This gigantic investment will solve this problem.

So either this blows and we will have way too much capacity which will lead to cheap and mass amount of memory for everyone + cheap GPUs again OR AGI. So win - win.

And even if you look at the debt, even companies like meta make 200 billion revenue in 2025 alone.

Isn't it good that these companies with these massive massive deep pockets invest?

Your real personal agent which knows you and helps you like "good morning elmer2, your calendar invite for dinner is today, you will need to leave at 18:18 if you want to use your normal public transport route per train. I put an alarm in your phone for you"

Agents to agents

Agentic teams.

Finetuned models for everything like Java/spanish coding model.

Very long term research like multiply hours or days or weeks and plenty of these in parallel.

If they continue investing in compute, memory, memory bandwidth, network infrastructure, etc. it makes a relevant contribution of progress in all of these fields which I will leverage.

A small form factor PC with 100gb fast memory and being able to run something like sonnet or opus level LLM would be massive.

I have so many things i want to do and still sitting it out due to cost.

I have a small startup AND i work for a normal well known big company

My startup is not a billion company. Its a small startup.

Edit: I think i get the confusion now? I have a small startup on the side and i work for a big company.

You wanna elaborate?

They are for sure one of the current Frontier AI labs.

And before their competitors and china started to be that fast, they were regularly publishing a lot of research in this area too.

Were is your hate coming from?