YayArea
2.9K posts
@qs_spa
Spend most of free time outdoors. Cali #Lindy, #ScaleMatters
Gemini Flash has always been underrated on X. Enterprises, however, can never seem to get enough of it. Best combination of price, intelligence, and speed.
Bless
Say hello to Gemini 3.6 Flash, designed to be higher intelligence, more token efficient, and with a new lower price, based directly on developer feedback! 3.6 Flash continues our progress towards models that are deeply usable in real world scenarios!
I was wrong I looked it up now. You need to be in the top 10% of income to have whats considered a responsible income / mortgage ratio for an average cookie cutter house 35-50 minutes outside the city. No universe where thats sustainble
I’m not sure whether Dean Ball is confessing to a regulatory capture strategy or simply predicting this will happen (he now says the latter). Either way, the weaponization of regulatory uncertainty as a competitive tool should be completely unacceptable. He argues there’s no need to ban Chinese open-source models — just direct agencies to issue soft-law warnings that create enough FUD so regulated enterprises back off. “It needn’t be that well justified.” Wrong. Regulatory decisions should always be well justified and grounded in facts, logic, and evidence, not the deliberate exploitation of fear and uncertainty. Implementing a surreptitious policy through manufactured doubt — rather than strong and explicit justification — corrodes the rule of law and invites future abuse against anyone. We are at a critical inflection point in AI policy. The leading closed labs, already a duopoly in terms of AI model revenue, want the government to eliminate their open source competition. They have laid their cards on the table. It is time for the rest of Silicon Valley — the vast majority that still values open competition — to do the same.
Chamath: Tokenmaxxing on the top frontier models is “a bridge to nowhere” and a “money-burning furnace” @chamath reacting to Ramp CEO @eglyman on @CNBC saying: -- Avg. token spend on @tryramp increased 21x over the last 12 months -- So, the team built a tool for customers to track it “He's saying something so important there, because if your engineers are going off randomly in an unguided system and then just ripping through a million tokens at $56, what he's talking about is the eventual downstream impact to earnings. And that eventually, a bunch of these public market CFOs are gonna show up to Wall Street and they will have missed earnings because their OpEx, at some point, if things are 21x-ing every few months, somebody's going to miss a quarter. Eric would not have released this Ramp product unless CFOs were like, ‘I can't control the spend.’ And then he's like, ‘Well, here, let me build it for you.’ And then, if enough CFOs essentially turn that feature on and start to rate limit how it's spent, because maybe they're not getting the ROI, and the engineer doesn't care about ROI. The engineer's like, ‘I want to use the latest, greatest model.’ And maybe you don't need it. Maybe Mira's right, and for 95% of the tasks you should be at one level lower, especially when it costs 1/100th of the cost. Unless you get a control of this and you can directly say how much money you're making, this is a bridge to nowhere. It is a money-burning furnace.”
