Aditya Vishwakarma

813 posts

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Aditya Vishwakarma

Aditya Vishwakarma

@adityav__

appreciator of the world

San Francisco, CA Katılım Ocak 2014
910 Takip Edilen167 Takipçiler
Miguel Ángel Durán
Microsoft cancelando licencias de Claude Code, Uber ha gastado en 4 meses el presupuesto de IA de todo el año. Los precios de IA subiendo hasta un 40%... Muchas empresas adoptaron IA pensando que los costes seguirían bajado pero ha pasado lo contrario. Los números no cuadran y alguien tendrá que asumir las pérdidas... Creo que los modelos locales van a asumir más protagonismo.
Hedgie@HedgieMarkets

🦔Microsoft canceled its internal Claude Code licenses this week after token-based billing made the cost untenable, even for a company with effectively infinite cloud resources. Uber's CTO sent an internal memo warning the company burned through its entire 2026 AI budget in just four months. American AI software prices have jumped 20% to 37%, and GitHub (owned by Microsoft) is dropping flat-rate plans for usage-based billing across its products. My Take The AI subsidy era is ending in real time. The same company that put $13 billion into OpenAI and built the Azure infrastructure powering most of Anthropic's compute just looked at the bill from a competitor's coding tool and decided it was not worth paying. That is not a productivity failure on Anthropic's end. Token-based pricing is forcing every enterprise customer to confront the actual cost of running these models at scale, and the number turns out to be far higher than the flat-rate experiments suggested. This ties directly to my Gemini Flash post yesterday. Anthropic, OpenAI, and Google all raised effective prices in the last six months. Enterprises that built workflows assuming AI costs would keep falling are now watching annual budgets evaporate in months. Two outcomes look likely from here. Either enterprises scale back AI usage to fit budgets, which slows the revenue ramp the labs need to justify their valuations ahead of IPOs, or the labs cut prices and absorb the losses, which makes the unit economics worse at exactly the wrong moment. Both paths land in the same place, the numbers stop working, and somebody has to take the writedown. Hedgie🤗

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Sasha Ivanov
Sasha Ivanov@mr_sudo_·
*pinch to bloom* we’ve updated liquid photos to include editing controls 🌺 created at @AXL_Labs
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Jason Fried
Jason Fried@jasonfried·
Bragging about how much software you’re shipping with AI is like holding down the shutter button and bragging about how many photos you took.
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Aditya Vishwakarma
Aditya Vishwakarma@adityav__·
Comparing water use for agriculture that grows the food we eat to survive versus data centers is out of touch at best. On site power exists because our grid cannot support the buildout; and even then, power companies are effectively prioritizing electricity for data centers over residents, while still raising prices on everyone... On-site power will only account for 25-33% of data center power use by 2030. That's according to Bloom Energy, who actually build on-site power. Where do you think the rest of the power comes from? As someone in tech, this is why people are hating on our industry. You cannot be so dismissive of people's valid concerns just by calling it 'trendy to hate'. To get buy-in, you have to be empathetic, which is not mutually exclusive with still being firm on your stances.
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Wat@JamesStoverAnth·
@adityav__ @tbpn They have. On site power, they don't use as much water as agriculture, which is subsidized. It's just trendy to hate tech
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TBPN
TBPN@tbpn·
John: There is a lot of opposition to building in America, broadly. That's just the nature of our society. I was thinking about, what do Americans want to build? Because it's easy to look at the data center stuff and be like, "Well, everyone's against building data centers." I was reflecting on the whole reindustrialization meme this weekend. And I was thinking about the actual knock-on effects of reindustrialization — most people don't want a car factory in their town. I actually think people don't really want change. They don't want things built. Data centers are probably at the bottom of the list. They're the least popular. But people don't want stuff built, generally. There are very few things that people are like, "Yeah, I'd be down for that to be built." People like the status quo. They're happy with things as they are. And they don't like change. People block home construction all the time. Also, permitting and expansion of existing homes. I'm not saying that they're as unpopular as data centers. Data centers are at the bottom. But new housing in communities is like razor's edge. I do think there's an element of like, Americans don't want to build anything.
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Fifth Gear
Fifth Gear@NotFifthGear·
Ayhancan Güven 1-0 Max Verstappen
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Ajibola
Ajibola@4jibola·
music is honestly one of the best parts of being alive.
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Aditya Vishwakarma
Aditya Vishwakarma@adityav__·
will never forgive tech influencers for talking shit about the iphone air and making public perception worse... it is indescribable how using it every day ruins other phones. every other phone feels like a brick now... battery life isn't even bad, and i've literally never had problems with one speaker. it is LOUD. one camera/speaker stuff will be sorted out in future versions - if they keep it up
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Fifth Gear
Fifth Gear@NotFifthGear·
The iPorsche throwback livery for Laguna Seca looks awesome wow
Fifth Gear tweet mediaFifth Gear tweet mediaFifth Gear tweet media
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Aditya Vishwakarma
Aditya Vishwakarma@adityav__·
local AI is the freedom that cloud AI ads promise
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Aditya Vishwakarma
Aditya Vishwakarma@adityav__·
the same analogy is still true: the bicycle for the mind has upgraded to a naturally aspirated v12
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Aditya Vishwakarma
Aditya Vishwakarma@adityav__·
we’re probably on the verge of our generation’s Apple II moment, and it’ll be revealed by… Apple. An M5 Mac Mini that releases this year is probably going to he the straw that breaks the camels back. We’ll be able to purchase a machine that sits on our desks that runs sophisticated models well enough that we won’t be constricted to these big labs and subscriptions and token limits.
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