Claude AI Powers NASA's First AI-Planned Mars Rover Drive - Anthropic
<a href="https://news.google.com/rss/articles/CBMic0FVX3lxTE44cDdZMG1COGd6Yy1RUlZDZFFNM2xmb0Vyd2JUdW45bzc5LXBpTlZNeW15eW0yX05GMjhpT3lORVd1NHB4ZjU2ekdjY0N0YnRFRzk0UGx4V0lVanZFQWtmOG9uSmthVU9td1NwdGRBenpBT3c?oc=5" target="_blank">Claude AI Powers NASA's First AI-Planned Mars Rover Drive</a> <font color="#6f6f6f">Anthropic</font>
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OpenAI doesn’t expect to be profitable until at least 2030 as AI costs surge
As OpenAI and Anthropic move closer to their planned initial public offerings, more details about the finances of both artificial intelligence giants are starting to emerge. It was no secret these companies were bleeding cash, but seeing the actual numbers is still striking. Neither company has made its filings official. Both are in the process of recruiting investors and have recently closed funding rounds, which meant opening their books. The Wall Street Journal got a peek . According to internal estimates, OpenAI will not turn a profit until 2030, while Anthropic expects slight positive results this year, followed by another year of losses before staying in the green in 2028 and 2029. Spending on AI training will be staggering. In 2028, OpenAI projects spending $121 billion on computing
Good local models that can work locally on my system with tools support
So I have a gaming laptop, RTX 4070 (12 GB VRAM) + 32 GB RAM. I used llmfit to identify which models can I use on my rig, and almost all the runnable ones seem dumb when you ask it to read a file and execute something afterwards, some does nothing, some search the web, some understand that they need to read a file but can't seem to go beyond that. The ones suggested by Claude or Gemini are fairly the same ones I am trying. I am using Ollama + Claude code. I tried: qwen2.5-coder:7b, qwen3.5:9b, deepseek-r1:8b-0528-qwen3-q4_K_M, unsloth/qwen3-30B-A3B:Q4_K_M The last one, I need to disable thinking in Claude for it to actually start working and still fails! My plan is to plan using a frontier model, then execute said plan with a local model (not major projects or code base, just weekend ideat
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Show HN: Ghost Pepper – 100% local hold-to-talk speech-to-text for macOS
I built this because I wanted to see how far I could get with a voice-to-text app that used 100% local models so no data left my computer. I've been using a ton for coding and emails. Experimenting with using it as a voice interface for my other agents too. 100% open-source MIT license, would love feedback, PRs, and ideas on where to take it. Comments URL: https://news.ycombinator.com/item?id=47666024 Points: 60 # Comments: 24
OpenAI doesn’t expect to be profitable until at least 2030 as AI costs surge
As OpenAI and Anthropic move closer to their planned initial public offerings, more details about the finances of both artificial intelligence giants are starting to emerge. It was no secret these companies were bleeding cash, but seeing the actual numbers is still striking. Neither company has made its filings official. Both are in the process of recruiting investors and have recently closed funding rounds, which meant opening their books. The Wall Street Journal got a peek . According to internal estimates, OpenAI will not turn a profit until 2030, while Anthropic expects slight positive results this year, followed by another year of losses before staying in the green in 2028 and 2029. Spending on AI training will be staggering. In 2028, OpenAI projects spending $121 billion on computing
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