After taking a look the $11.5k premium over the 256GB might not be worth it. Gonna have to mull over the decision and possibly buy two 256GB machines instead (which might be the smarter option).

Comments URL: https://news.ycombinator.com/item?id=50277166

Points: 57

# Comments: 77

[1]: https://maki.sh/#lua

If it was just the filth, it could be like any other terrible experience, but this mid-rise was standing next to the rubble of a razed building beside it and there was literally an open gas pipe hanging upright two floors down with people smoking above. The doorman who showed us the unit seemed unconcerned and it was nearly impossible to get our money back until we literally threatened to sue Agoda. We had sent them all our evidence (we took pictures) and even had the doorman talk to them on the phone and it was still like pulling teeth to get them to refund us.

To add insult to injury the place was more expensive than nearby hotels and I just checked and the place is still listed (we went a year ago)!

  Microsoft remains OpenAI’s primary cloud partner.

I'd love some perspective on what problem this setup solves and how do you address sandboxing.

No one can reasonably claim to be harmed in such a scenario. Enshrine abandonware into law.

Considering I currently live in Ithaca and have a friend doing a Math PhD, so I've heard from him some of the discussions in the department. I think the biggest shock for people is that individuals spent significant portions of their time on some of the problems that OpenAI supposedly solved (I say supposedly because all of the proofs have yet to be independently vetted). I understand that it's a shock, but I'm confident that in time it will be no more of a blip than it was for NLP.

[1]: https://xxcancel.com/mayhewsw/status/1636476184098643968

[2]: https://xxcancel.com/andriy_mulyar/status/163613925780582809...

https://www.linkedin.com/in/alfozan

That said, I'm glad you shared your thoughts and experience. It's helpful to see what people try.

[1]: https://youtu.be/mFBmoCv5EcQ?t=1982

  Future work will extend Minions to support distributed model training in addition to inference

It would be especially useful for RL post training of existing models, which is where much of the agentic abilities arise from.

Similarly, imagine if nutrition facts labels only had to state whether the food could be potentially unhealthy, without any other nuance.

A sensible version of Prop 65 would acknowledge the specific substance, its dosage, and the best known safe dosage. Equipped with that information a consumer can make an informed decision.

This is just a site rendering issue. Rather than silently removed, it's more like some bug was introduced. macOS 26 is still Unix 03 certified.

To call the approach obsolete and refer to a "modern way" to use an LLM seems like a stretch when critiquing the approach used by a frontier lab a month ago.