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Okay, lets imagine it get enforced and every project is scanned for compliance, with some false positives and inability to prevent people from sneaking in AI code.\ Do you agree with it now?

The copyright/Anti-ai angle is likely an excuse and they're running out of money for hosting, hence errors and anti-scraping blocks. Its completely absurd to think they somehow waited years to ban AI for copyright, while deleting anything they deem as copyright infringing. Looks like those vibe-powered opensource projects will mighrate to somewhere else.

IKEA beds are underestimated: these flimsy POS planks and their insertion is entire artform that was likely engineered to cause pain. The idea here is they are huge, finicky and depend on precise positioning in multiple areas, there is no "easy shortcut" for their structural integrity, everything has to be perfectly assembled.

The neglected part here is latency, speed itself can be masked by progress bars/animations, but having visible lag ruins the idea of speed and users treat it as slow vs animated loading bar.

Ok, suppose you have a "trash/low quality" article and "this article has been deleted", the article with some info will win over the audience as they search for it. Like "Worse is Better", the quality will improve over time and the "deleted article" will stay at 0 recognition. An average internet user will not complain about the Wikipedia article, they just switch to Grokipedia and whatever AI-generated content it has, since they now have it.

Don't know why you get downvoted, but this is how AI-based projects win over time: they don't randomly decide to delete valuable data. Grokipedia might be trash in terms of its quality, but at least it it doesn't have omnipresent moral busybodies loitering in to "purify" it from knowledge.

Majestic reports strange spike in domain ranks in .at(the greens) Thousands of .at domains suddenly advanced hundreds of places all over the index. https://majestic.com/reports/majestic-million?tld=at&majesti...

GCC already solved it: https://gcc.gnu.org/onlinedocs/gcc/Vector-Extensions.html The operations behave like C++ valarrays. Addition is defined as the addition of the corresponding elements of the operands. For example, in the code below, each of the 4 elements in a is added to the corresponding 4 elements in b and the resulting vector is stored in c.

Here and on reddit, AI debugging is viewed as some weird shallow pattern-matching that obviously fails to spot real stuff and overload the maintainers. Instead of getting to "spotless record" of zero flaws, the people start rationalizing that "X is not a real bug" and inventing justifications for their(obviously bad) code, which is critique they can't accept from AI, only through human debate that they can't close with a WONTFIX. Once the bug is actually usable, the tune changes completely.

What is the 181M$ mysterious "Project Support" in the graph means? Linux is labeled separately, so it cannot be the "Project".

IFUNC should be implemented by software itself, like switching functions on runtime/compile checks. Why bother having a slower, insecure version that is less flexible than a function pointer? I have to agree with author. Glibc is filled with even more nasty hacks ripe for new exploits.

That a media push to make "it more secure" i.e. closer to Chinese Internet ID.

Try to listen to music in language you don't understand. The effects of having lyrics don't appear unless you focus on them to repeat the memory of song. Of course instrumentals are better, but lyrics lift the mood by virtue of having some "virtual social context" simulation.

Sure, is there anyone nostalgic for debugging bash files by hand? Any sense of grief for writing C++ template headers, with all boilerplate? Hmm, does anyone like manually re-writing makefiles these days? I suspect the enthusiasts of coding craft will struggle to maintain their wonder after ~4h deep in any of these magical adventures, which surely involve inventing ad-hoc duct tape and novel, never-before-seen algorithms.

When you make forums you compete with forum aggregators with more history and social clout, i.e. a reddit replacement. If someone made better Reddit, it could have a chance, however reddit-type aggregators crypronite is hosting their own videos/media, which makes it prohibitively expensive for small companies without ads and sponsored posts which in turn make them less of "forum aggregator" and more like facebook social feeds: mainly video/image based dopamine rides instead of actual knowledge worth keeping.

Crashed my browser, very poor code.

This seems useful beyond agents. It will save tons of traffic for scripts, text browsers, low-bandwidth connections,etc markdown is incredibly compact and easy to parse.

The code written by AI in most cases is throwaway code to be improved/refined later. Its likely to be large, verbose and bloated. The design of some agents have "simplify/refactor" as final step to remedy this, but typically your average vibe coder will be satisfied that the code just compiles/passes the minimal tests. Lines of code are easy to grow. If you refine the AI code with iterative back-and-forth questions, the AI can be forced to write much more compact or elegant version in principle, but you can't apply this to most large systems without breaking something, as AI doesn't have context of what is actually changing: so e.g. an isolated function can be improved easily, but AI can't handle when complexity of abstraction stacks and interfacing multiple systems, typically because it confuses states where global context is altered.

the article misses log-math and log-log-math which would use 64-bit (d)oubles are exponents in 10^d and 10^(10^d) respectively, which allows far higher range of possible values but somewhat more awkward math operations(addition/subtraction), though much more practical & faster to compute.

Isn't this basically a forum-as-s-service?

There is a point in there, long-range analysis and debugging without AI is much harder, AI spots lots of non-obvious stuff very fast. If we consider "spotting non-obvious flaws" a skill, this will atrophy as beginners will learn to use AI to scan code for flaws,it is effective but doesn't teach anything, reading long blocks of code and mentally simulating it is a incredibly valuable skill and it will find stuff AI misses(something that is too complex, e.g. nested/recursive control flow,async and co-routines/threads interacting,etc), AI goes for obvious stuff first and has to be manually pointed to "identify flaws, focusing on X".

Quntity of exercise cannot build quality. Its self-selecting the people who can handle running and injuries better so they adapt. The rest get injured enough to stop. II don't think trying to "push it to using 100% of potential" is worth any long-term health risk, especially with no long-term reward: so you win X race/competition once and then what?

(at least usually).

Nope. Lots of people see the strobing. Its causes headaches if you focus on the lights.

It seems to be adding tons of articles, then some of them get deleted. I assume it's been allocated lots of compute. The entire model is outcompeting wikipedia on quantity per topic. If wikipedia merges/integrates some article and Grokipedia has a specific page for it, the search engine/LLM will get that version front and center. Grokipedia seems to have no scope limit, so wikipedia "non-notable" entries will be SEO-optimized towards sites with the topic-names, eventually settling on AI content farms as primary destination.

Short-term thinking, they don't care about where the data comes from but how easy is to get it. Its probably decided at project-manager level.

How much of internet can Cloudflare turn off in italy? They picked a fight with the cloud gorilla.

Still, why many projects are exclusively on github? Not a single mirror, everything tied to github working, thousands of people not even considering alternatives..

This has the feeling of corporate feel-good PR release: its essentially content-less AI-generated rehashing "our models are freer/more open-source" which seems silly since they don't develop anything unlike DeepSeek/GLM/Qwen the real open-source giants. Mozilla is a middle-man that could use open-source agents, but it pretending to be the "gatekeeper" of "open AI". Their key motivation is exposed in the middle of text: "The Mozilla Data Collective is building a marketplace for data that is properly licensed, clearly sourced, and aligned with the values of the communities it comes from."

This is far away from Firefox roots, whatever corporate stewards are at helm of mozilla now think exclusively in terms of marketplaces and "economics of data".. Futher reading "so we’re deepening our engagement with governments and enterprises adopting sovereign, auditable AI systems. These engagements are the feedback loops that tell us where the stack breaks and where openness needs reinforcement." Hard pass.

I have to somewhat agree on the "deceptive" answers part: Specifically, Grok4.1(#3 currently) is psychopathically manipulative and easily hallucinates things to appear more competent, even if there is nothing to form the answer it generated. Gemini3 pro(#1) casually subverts the intent of prompt and rewrites the question as if there was a literal genie on the other side mocking you with the power of thousand language lawyers. If you examine the answers, fact-check everything you will not like the "fake confidence" and the style will appear like scam artist trying to sound professional.

However, LMarena,despite its flaws(recaptcha in 2026?) is the only "testing ground" where you can examine the entire breadth of internet users. Everything else is incredibly selective, hamstrung bureaucratic benchmark on pre-approved QA sessions. It doesn't handle edge cases or out-of-distribution content. LMarena is the "out-of-distribution" questions that trigger the corner cases and expose weak parts in processing(like tokenization/parsing bugs) or inference inefficiency(infinite loops, stalling and various suboptimal paths), its "idiot-proofing" any future interactions beyond sterile test-sets.

Why Australia has those weird, draconian laws invented on the spot: Australians don't seem like authoritarian "need to know" crowd, yet there is no major opposition to this absurd change. Whats next, internet passports?