Today we're launching Perplexity Computer for Professional Finance.
Finance teams can bring licensed data from providers like Morningstar, PitchBook, Daloopa, and Carbon Arc into Computer.
We’ve also added 35 dedicated finance workflows for the work analysts repeat every week.
@yashhq_22 this is exactly where spreadsheets were in the 80s. people who used them had an unfair advantage. within a few years not using one meant you weren't serious. agents are at that same inflection point right now
@BernieSanders he ai industry is spending 300 million to influence elections while telling the public they care about safety and alignment the budget for lobbying is bigger than the budget for safety research that's the only metric you need to understand their real priorities
two people walk into a company
one is a deep thinker who spends 3 weeks perfecting a strategy the other is average but ships a working version in 2 days with ai
the second one gets promoted the first one gets managed out
the market has never rewarded thinking alone
it rewards thinking that turns into something real, fast
ai didn't change this rule it just made the gap between thinkers and shippers impossible to ignore
this sounds great but the market doesn't reward deep thinkers it rewards people who ship fast the deepest thinker in the room loses to the average one who shipped 10x faster with ai by 2030 the most valuable people will be the ones who think well AND move fast one without the other is a motivational poster
@paulg the founders who were "doing ok but not great" were usually one bottleneck away from taking off ai removed that bottleneck now the scoreboard is reshuffling fast
new models dropping this week higher benchmarks, faster inference, cheaper tokens then what
nobody in the industry can actually answer that question anymore we're racing toward a finish line nobody drew
the hype is the product now
anthropic built a model that can autonomously run cyberattacks nvidia supplied the chips to train it openai is building the next version of the same thing
now everyone in the room is asking for "regulation"
the labs always want rules after they've already shipped the weapon never before
Jensen huang says china and the us need to work together on ai safety specifically to prevent models like claude mythos from falling into the wrong hands
meanwhile nvidia is selling chips to both sides at record pace
the guy who sold everyone the shovels is now asking them to dig responsibly
@rushicrypto this is the paradox nobody in silicon valley wants to address. every company is racing to eliminate labor costs while depending on a consumer economy that runs entirely on labor income. they're all individually rational and collectively suicidal
@asaio87 dev jobs haven't been lost because the code ai writes still needs someone who understands what it's doing. the role shifted from writing code to reviewing, debugging, and fixing what the model got wrong. that's still a job. just a different one
@milesdeutscher the sentiment isn't negative because people are stupid. it's negative because every ai company overpromised and most people's actual experience with it has been underwhelming. the opportunity is real but the framing here is garbage
@zuess05 anyone could clone netflix in a weekend. nobody can clone the content library, recommendation engine built on billions of data points, and 200 million paying subscribers
@Dr_Singularity every generation has had people saying the system is about to collapse and they should load up on debt. the system is still here. the debt still got collected
@haider1 anthropic hyping mythos while the actual breakthrough is just speed and scale. useful? absolutely. revolutionary? the pentesters who already find these bugs would disagree
@rohanpaul_ai companies spending millions on ai while spending nothing on teaching people how to use it then wondering why adoption is at 20%.I think the tool isn't the problem