For a while, companies pushed hard to get employees using AI.
Now the first big bills are landing, and the mood is shifting fast. I think the adoption is still the goal, but the adoption strategy is changing as cost control is the priority.
🚨 Sam Altman warns OpenAi and Anthropic are experiencing severe pullback on Ai spending as companies put significant restraints on spending to restrict costs. The company warns investors it’s the first time this has happened in Ai and something we never expected. The buildout costs aren’t sustainable to allow profitability to hyperscalers or end users.
$soxx $dram
@antigravity All of this should’ve been announced last year when you were running your “generous” campaign. Unfortunately, your offering isn’t competitive anymore compared to the competition. Those who joined the “AI Pro” plan feel cheated.
$25 may look like a lot. However, considering that most teams have a large PR backlog and that it can take senior engineers hours to review a single PR, it is probably not much at all
Code Review optimizes for depth and may be more expensive than other solutions, like our open source GitHub Action.
Reviews generally average $15–25, billed on token usage, and they scale based on PR complexity.
I could not find a right proxy solution for my use case (light and portable and supporting http(s)/socks4/socks5) and chaining. Decided to build my own: https://t.co/7AgI10OQOp
One key to working in Japan (or anywhere) is understanding how locals build products. It explains why cars and game consoles succeed, while Japanese software and internet services struggle globally. The reverse is also true as foreign companies often fail to take hold in Japan.
Remote work had a real chance to be a major lever in the optimization game. But since it requires extreme discipline, we failed at the organizational level. It was never about individual performance, but about company-wide KPIs.
I can finally retire my t2.micro instance running in AWS! Apart from that, Google appears to offer everything we need for AI-driven development in a single, easy-to-understand package.
We’re releasing TranslateGemma, a new family of open translation models with support for 55 languages. 🌐
Available in 4B, 12B, and 27B parameter sizes – they’re designed for efficiency without sacrificing quality.
Most founders come from Product, Tech, or Marketing- rarely all three. Building meant outsourcing the rest, causing delays, high initial costs and other problems causing friction. AI has fundamentally changed this.
Also - it’s getting harder for the traditional 10x engineers. Arguing for days about corner cases in an algorithm might just get you replaced. The hard truth is that it's finally time learn teamwork and business impact.