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Namecheap Hosting Is Down 4 by wolfgangbabad | 0 comments on Hacker News. Namecheap is having hosting issues again despite their promise to make things right after the incident a month ago.

Ask HN: How can DigitalOcean not afford $50, but can afford $3M to Omarchy? 2 by dpmartinez | 0 comments on Hacker News. For the life of me, I don't understand how DigitalOcean can't afford a $50 a month sponsorship to GNOME and Flatpak but can afford $3M to Omarchy. [0] Not only that, DigitalOcean cancelled their $50 a month sponsorship to GNOME and Flatpak. How does this make any sense? [0] https://ift.tt/WPvIrtY

Tell HN: Claude Code appends new commit signature even if older settings is off 4 by ctxc | 0 comments on Hacker News. I have the automatic "co-authored by" Claude signature turned off for my commits via the config setting. PSA: They've introduced a new "Claude-Session: https://ift.tt/Ebrk94h" line that's appended to the commit now though, on by default. Annoying, feels scummy (of all things, ironic I know)

Ask HN: Did Google kill its enterprise workhorse model? 3 by waldrews | 0 comments on Hacker News. Is anyone else in a panic over the Gemini 2.5 model generation (Pro, Flash) being sunset in October before there's even any Pro class model in general availability (with geo restrictions etc.)? Google wants everyone to migrate to 3.x Flash, which beats the older Pro models on the benchmarked tasks, but isn't the same thing as the Pro class on reasoning-heavy tasks like complex reasoning on very large documents (my big use case). The Gemini family had a distinct niche in document comprehension, with thousand page input documents taking only 300k tokens. Nothing quite like that in OpenAI or Anthropic world, even at more than 10x the token adjusted price. Should we just give up on Google at this point and engineer around the competitors' limits and eat the costs? Totally unnecessary own goal by team Google.

Dreamcast Development Links 2 by hefner1456 | 0 comments on Hacker News. I just replied to somebody on here with these links, thought I should share them. If any one has something to add, dont be shiesty:) It was a pain to find these. https://ift.tt/gq8QnwZ https://ift.tt/0OsziGS https://ift.tt/NH7Podl https://ift.tt/3S4iL6X http://kamui.cool/zz_lab/infinitedream_HTTP_USER_AGENT.html http://kamui.cool/zz_lab/jeffma_useragent.html http://kamui.cool/zz_lab/browsermatrix.html https://dreamcast.wiki/Development https://ift.tt/lbg1J6r https://ift.tt/5jW1F3L https://ift.tt/Hmd03xJ

Ask HN: How are much smarter AI models made? 4 by superasn | 0 comments on Hacker News. I am curious what actually happens between two generations of AI models. For example, how do you go from Sonnet to Opus? Is Opus trained from scratch, built on Sonnet, or mostly the same model with more compute and training? And how do models like Astra suddenly make a big jump in some capabilities? What is stopping Anthropic, Mistral, or others from doing the same thing? Is the main difference just more compute and money, or are there training methods, data, architecture, and research breakthroughs that competitors may not know about? I can't think of a better place to ask this. I am guessing there are people here who actually work on these models and know what goes on behind the scenes.