Browse Comments — Clean (de-noised)
Close reading of the corpus at each pipeline stage: raw → clean → relevant → coded.
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I like what Terence Tao said at the end... That we not only publish the results but all the paths taken to get there!
And then they come back after they realized what not worked anymore
A good food is a good like According to father of medicine , He said let the food be the medicine and let the medicine be the food Eat wisely to preserve your health
Interesting perspective. What we're seeing is not the end of ChatGPT, but the shift from standalone AI tools to integrated AI ecosystems. The focus is moving from prompting a model to designing end-to-end AI workflows that create measurable business value.
the emissions do not seem small for anyone who is choosing to actually pay attention to them.
Asere Baloi that is a comment...
So nothing to do with the Department of War Paul?
That’s a tough disconnect, but it is also the reality of a career in IT. Curriculums do not always keep up with industry. By graduation, some of what they learned may be behind what employers are looking for. Ideally, colleges and universities should be much more forward-thinking and faster at adapting to emerging technologies, frameworks, tools, and ways of working during their program. Students also need to understand that formal education is only the beginning. To stay competitive, they need to supplement their coursework with practical experience, current technical skills, internships, personal projects, open-source contributions, bootcamps - whatever helps them bridge the gap between school and the real world. Generative AI really only became mainstream about three and a half years ago, and it has already changed expectations in IT and other areas. I sincerely hope colleges & universities are not just reacting to this shift, but actively preparing students for what comes next.
Muchas gracias por compartirlo !!!
>jin-guh 🤦♂️
Why not just download codex and use the same subscription? Unless you moved to Claude Code before GPT 5.5 came out (Like Me), Codex is still currently better at coding than Opus.
Exactly yes
Sakib Ziad both, actually I ask same question to llms, so instead waiting for someone replay the post, now days llms do. So speed and development become faster than ever
Wow, totally awesome!!! 😍
STACK
Interesting! Workflow fatigue is becoming a bigger problem than model quality.
I think we are entering the “adoption race.” This brand is better than that one. I’m switching to this platform. This stack replaces my previous stack. But maybe the deeper question is not which AI tool makes everything easier. The question is: easier for what? If the craft is weak, AI only helps us produce weak work faster. The real value is not just in replacing tools. It is in understanding what kind of knowledge, judgment, and responsibility those tools are meant to support.
Geographic anchoring may take care of logistical routing but at the same time erase a patient's biological identity by defaulting to Western clinical baselines by increasing genetic and biological blind spots. Medical AI safety requires decoupling genetics from location, prompting for both the physical location of the patient and their specific ethnic health predispositions. This problem is already existing example where patient of different ethinicty vists a GP in a different geograhical location My view is that Medical AI would be more efficent on regional flavour rather than one solution fits all
The Meat Puppets must be satiated . . . . . . . . . . . . Says who?
Meanwhile stack overflows revenue has increased manifold because they've been feeding to the LMs instead 🫡