That is expected. What is not expected is us knowing about it. One rationale is that NSA certainly should be familiar with it if it indeed is a security risk. Nothing to see here.
631 karma · joined June 1, 2021
The 2x allowance last month was not of the goodness of their hearts. It’s pumping up the demand AND the revenue simultaneously. The squeeze before an IPO.
How many of us have looked into moving to the next tier during the last 48 hours? I know I have both professionally and for my private use. Moving 20% of $20 customers to $100 increases the revenue for the group with 1.8x.
- No, it isn’t.
Is it intelligence to attribute this quote to Monty Python, or isn’t it?
Remembering things is traditionally considered a part of intelligence, memory that is. The subject has been discussed for ages. Personally I favor the statistical definition based on the observation that given a range of different intelligence tasks, individuals that succeed in one task generally succeed in other tasks. There is shared variance, a g-factor. Intelligence.
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Reading this as an avid Codex CLI user, some things make sense and reflect lessons learned along the way. However, the patterns also get stale fast as agents improve and may be counterproductive. One such pattern is context anxiety, which probably reflects a particular model more than a general problem, and is likely an issue that will go away over time.
There are certainly patterns that need to be learned, and relearned over time. Learning the patterns is sort of an anti-pattern, since it is the model that should be trained to alleviate its shortcomings rather than the human. Then again, a successful mindset over the last three years has been to treat models as another form of intelligence, not as human intelligence, by getting to know them and being mindful of their strengths and weaknesses. This is quite a demanding task in terms of communication, reflection, and perspective-taking, and it is understandable that this knowledge is being documented.
But models change over time. The strengths and weaknesses of yesterday’s models are not the same as today’s, and reasoning models have actually removed some capabilities. A simple example is giving a reasoning model with tools the task of inspecting logs. It will most likely grep and parse out smaller sections, and may also refuse an instruction to load the file into context to inspect it. The model then relies on its reasoning (system 2) rather than its intuitive (system 1) thinking.
This means that many of these patterns are temporary, and optimizing for them risks locking human behavior to quirks that may disappear or even reverse as models evolve. YMMV.
Rising RAM prices over the next couple of years will make new computers and phones harder to justify, so people will keep devices longer. At the same time, Microsoft and Apple (et alia) continue shipping more demanding software packed with features no users asked for. Software growth has long driven hardware upgrades, but if upgrades no longer feel worthwhile, the feedback loop breaks. The question is whether personal computing keeps its central role, or quietly becomes legacy infrastructure people replace only when forced? In that case: What is the next era?
A similar issue is CDATA in XML which is not retained when round-tripped. Very annoying, but in line with the spec.
To me this reads as a form of misdirection, intentional or not. A monopolist has little reason to care about downstream effects, since customers have nowhere else to turn. Framing this as roll your own versus Cloudflare rather than as a monoculture CDN environment versus a diverse CDN ecosystem feels off.
That said, the core problem is not the monopoly itself but its enablers, the collective impulse to align with whatever the group is already doing, the desire to belong and appear to act the "right way", meaning in the way everyone else behaves. There are a gazillion ways of doing CDN, why are we not doing them? Why the focus on one single dominant player?