chris_money202

Some people are comparing banning gambling to banning alcohol or tobacco.

Many of the ideas that later became the United States were discussed in a bar while drinking, the same cannot be said anywhere for solo gambling. Whether you like it or not, alcohol and tobacco are woven into the social order.

Well its not just any old human doing these things in a general sense. Its typically academics or highly paid researchers who love doing work like this. So, I don't think it will just one day stop

Another comment said treatment needs to begin 24 hours after infection or its almost always fatal. And they also said you don't have many symptoms within the 24 hour window.

I could see that still killing a lot of people even though a treatment would guarantee survival

How are they going to compete with Asus, Apple, Lenovo, Dell, HP, any other OEM?

Making a computer is about supply chain as much as its about what's inside and the software. Those supply chains take a decade to establish

It’s called design verification, formal proofs happen mostly at the EDA tool level and largely already automated. Design verification focus on functional correctness of the chip for its intended use case

I've heard a lot of stuff like people don't WANT to drink anymore but I wonder if it's not so much people's perception of drinking changed as opposed to people are in social settings where drinking occurs less. Alcohol is an addictive substance and best way to get someone hooked is small, frequent events where drinks are consumed. Over time they consume more and more and seek out more places to drink (and socialize) as the hook sets in. Peer pressure also plays a big role here too.

Wondering with remote work, remote school, etc post covid if we are just seeing less hooks set and less peer pressure.

And maybe it's just the harness and the backing model is mostly the same. But I would expect Codex to give better responses to code questions than chatGpt using the "same" model.

I went back through Azure foundry, and it looks like they have gotten rid of reasoning variants, so might just be one model now.

I'm pretty sure there is a completely different model for Chat vs Coding.

Like if you deploy 5.6 on azure foundry there is a chat model and a coding/reasoning model

Feel like this has always been a problem, especially with large legacy codebases. Very few people ever knew everything. We just reach the problem faster now; it used to take years of churn and turnover.

Are you using Copilot as a daily driver? Because all people I talk to that use it as a daily driver in enterprise have only said it keeps getting better and better.

Microsoft took a safer approach to copilot rollout because of enterprise data protection, OpenAI/Anthropic rolled out their best to get people hooked and elected to figure out the data protection later.

Yeah the difference with Microsoft though is they actually hold the enterprise data and have been entrusted with doing so. So if Microsoft’s AI bypasses the governance guards a company puts in place on data that lives in O365, they are liable. With Cowork and OpenAI the liability is on the employee who is misusing the data because the company did not go into any governance agreement with Anthropic or OpenAI.

Think this dramatically simplifies the problem. AI existed before GPTs and the AI in self-driving is optimized for self-driving and the latency you already mentioned.

Regardless of how the AI is architected, you aren't going to be able to use a generic LLM like Qwen to perform reliable self-driving, you need a highly optimized, highly specific AI.

I don't know that's moving the goalpost, SpaceX's mission was not that originally. Some could say the original mission failed and they are pivoting, Elon will say it's a means to the end of the original mission still to save face. Some read it all as snake oil

I think its actually because GitHub isn't solely running on Azure. They are currently using a mix of on prem, AWS, and Azure. The Azure migration has been a challenge with Azure running into capacity issues due to AI load.

I got the M4 mini and then bought a refurbished M1 MacBook air so I could ssh/remote desktop into my mini from the couch. Love that MacBook Air, cost like 200 bucks and is super-fast.

Isn't this to rent the datacenters though? That's not really long term revenue if xAI will eventually need them back.

Think we all can agree he has had staggering successes, but they have all come from having massive capital from Paypal which wasn't anything super innovative, it just solved a convenient problem at a convenient time and was awarded handsomely. Elon has put his capital to work in various ways to become successful, not all of the ways being morally sound.

The word editor isn't really Microsoft's product, it's just one of the many entry points to the Microsoft Office cloud sphere where all the data can be interconnected and shareable.

I use copilot as my daily driver and haven’t seen much difference with it and Claude code’s output.

I think your answer is you’ve been using weaker models, that’s comparing apples to oranges. Have to try the same model on both harnesses. Also have to remember that GHCP harness is model agnostic, Claude and OpenAI can tightly couple their harness to their model so they will always have a slight edge initially. Making agnostic harnesses is much harder to do imo and if successful is much more valuable to customers.

Surprised Carmel, Indiana hasn’t been mentioned in article or comments. They replaced almost every single stoplight and stop sign intersection in the town with roundabouts. Think the number of roundabouts in the town is in the hundreds

I think this is only true if the # of doctors available per patient stays the same. If productivity increases, you can have fewer doctors available while providing the same quality of care.

So, quality doesn't necessarily increase in all cases.

I don't have the numbers on this, but if you look at per-capita self checkout probably had some effect.

Our population is increasing which means we need jobs to be increasing at same rates. The effect on supermarkets is they get more customers as population increases but they are able to lower the relative number of staff per customer.

Funny enough this gets around content exclusion filters my company has set (for things like missing copyrights), so i actually like it

It’s not just free users with excessive commits, actions, etc…

Enterprises are benefitting from the same AI and are increasing their volumes as well

There isn’t mission critical work being done on GH. You start charging more and the people in charge of finance at companies paying for GH will actually start paying attention. Those finance people don’t care rn because GH is affordable and helps get stuff done. There’s a threshold that exist at every company and once it’s crossed the people who can make money decisions start asking questions

And then get penalized for in the market when they say we need to build more DCs and spend huge capex... which is what GH needs right now

Both Microsoft and GH issue is capacity which is being solved with huge capex in DC investment, you can't create a new DC overnight and its even harder in the current climate where everyone assumes the DC is for AI and not just normal workload compute like what GH needs...

So your proposal is for Microsoft to invest their free cash in helping support a bunch of AI coders maintain their pet projects? Sounds like you should be a CEO!

Intel started making DRAM in 1970, Micron was founded in 1978.

Nvidia buys the memory it uses on its GPUs, same as all other ASICs.

To give some context, Intel started making DRAM, I think they were actually the company that came up with modern memory techniques. They exited the market and pursued a more lucrative moat with CPUs.