I'd love to see a few examples of the current generation of "good reviews" and comparable "AI slop" from a couple of months ago. While it's entirely appropriate for an article such as this to quote sources' own words, there's also real value in passing on such specific detail.
'Sure looks like a two-for-one deal to me: not only does the DoW announce clearly that only Big Man loyalty, not professionalism or morality, constrains it, _and_ it's a reminder that the Federal government more generally feels free to ignore contracts at any time.
You have me curious, mountainriver. While I don't understand what you've written, I want to know more. Are you saying that open-source models can't be trusted as well as (some of the?) proprietary ones, and therefore aren't fit for "mission-critical" medical applications?
For me, the salient turning point was the Reagan administration, which began cultivation of the attitude that government collection of routine data on weather, railroad traffic, crime, health, ... was intrinsically suspect, expensive, and partisan, rather than a public service and scientific adjunct.
I'll say this a different way: my personal opinion is that there's at least a whole book that deserves to be written on the documentable underinvestment in government measurements of national characteristics. We've trained a couple of generations--especially the most recent one--that rhetoric, rather than analysis, is the appropriate basis for policy decisions.
Skepticism, or at least reserve, in the face of expertise, can be a healthy impulse. It's simultaneously a leading slogan of the jingoistic playbook of authoritarians. Anti-intellectualism isn't a solvable problem: it's an ongoing temptation that every society needs to address in contemporary terms.
This is good reporting: that is, SJVN usefully summarizes crucial narratives from inside kernel maintenance. Commercial organizations would do well to make decisions about AI this wisely.
I endorse everything Vasudev has written here. In the abstract a couple of other libraries of interest are Java-coded PDFBox and Python-based PDFMiner.
Well, the correct answer to almost any such technical question is "yes and no". This one comes as close as any to a bare "no".
It's a good question. PDF->SVG conversions are quite powerful--when they work. They simply do NOT work, in the general case. I deal with a hundred-thousand PDFs at a time, and they demonstrably don't behave with enough regularity to allow for the kind of general transformation I suspect you have in mind.
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