jsnode

If I had a budget of $10,000 to build a local setup to run GLM 5.2 locally AND any future local model that comes out soon what should my computer set up be?

Most indie hackers who started posting on X around the same time I did last year.. aren't posting actively anymore. Consistency is underrated.

I think that tech people tend to underestimate the complexity of most medical/biological problems by 1-2 orders of magnitude.

Codex can now hand off threads between local and remote hosts. Start work on your laptop, send it to a remote box before you close the lid, bring it back later. And yes, Codex can orchestrate the handoff for you.

half of X is talking about how much better GPT 5.5 is recently, other half is complaining about how much worse it is lately

🚨 SCOOP: After the release of Fable 5 and with GPT-5.6 looming, the mood behind the scenes at Google DeepMind is increasingly one of frustration and broad discontent over the lab's perceived fall into a distant third—or even fourth—place. "I can't blame Noam [Shazeer] for walking. He won't be the last big name to go, either," a well-connected DeepMind employee told me. DeepMind's last major model release, 3.5 Flash, was a significant jump over its predecessor; however, it was not meaningfully better in most cases than 3.1 Pro, released back in February. In real-world use, it remains several steps behind the frontier. That was four months ago, and Google's best model now sits in a lowly fifth place on the Artificial Analysis Intelligence Index—lapped by models from Anthropic, OpenAI, and now China's Zhipu AI. Other releases have proven similarly disheartening: the small video generation model Gemini Omni Flash launched to little fanfare and was easily beaten by ByteDance's Seedance 2. Gemini 3.5 Pro, slated to launch June 30th, is "not the step change we need to be truly competitive in the race [to AGI]," per another individual at the company. The consensus seems to be that leadership at Google has all but conceded that race to Anthropic and OpenAI, and that "only a big shake-up" will propel them back to the highs of mid-to-late 2025. But employees are not hopeful: "We no longer have a frontier model in text, image, video, voice, or even vision... if we can't release a real frontier model after over four months of work with all of these resources, what are we doing?"