Still, why many projects are exclusively on github?
Not a single mirror, everything tied to github working,
thousands of people not even considering alternatives..
I am curious whether this is unfamiliarity with alternatives or a deliberate decision that mirrors are not worth the overhead. I tend to read it as a rough signal for whether someone's thought about infrastructure dependencies at all. Not exactly engineering ability, just whether their mental model of "git" extends beyond GitHub.
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?
I'd argue because religious stupidity these days has increased to such a high order that in many adherents, its in the not even sane point to be even debated. Rationalists also haven't yet committed a few mass genocides and taken over countries, which is the bare minimum to be taken seriously among religions.
Massive x100 speed-up for writing simple, mind-numbing stuff.
Algorithm optimization +20%*(Depends on domain).
Obscure APIsx10(deals with APIs much better than docs)
Debugging is massively easier(incomparably).
I don't know waht HN hate for AI is coming from,
but its ideal for prototyping/debugging/refining code.
Minor polishing/editing specifics is much easier for me,
rather than writting a correct "draft v1.0" from scratch:
since i typicall evolve structures from primitive(v0.1)
while AI gives me a chance to start from 1.0 and polish it
later(optimize/fix/improve/etc).
For "from scratch to working prototype" workflow would mean
months of coding condense to days(mostly debugging/flaw finding).
Drawbacks:I feel like more code is simplified, no ad-hoc complex
structure after AI rewrite. Pure "clean code" with most
standard optimizations and control flow.
AI can fix "good complex code" into simplified "enterprise ready" control flow charts in code form,
it lacks the sense of 'code quality' instead thinking verbose, clean code is the quality marker.
I've also found the same thing a decade ago,
apparently lots of features(e.g. specific instruction, igpu)
are broadly advertised as belonging to specific arch,
but pentium/celeron(or for premium stuff non-xeon) models often lack them entirely and
the only way to detect is lscpu/feature bits/digging in UEFI settings.
The problem with this is integration:
no one would complain if it was an official plugin/extension,
but integrating this plugin into Firefox is forced and unexpected decision.
Firefox telemetry,labs/experiments and server-dependent features
will lose it marketshare slowly in favor of local-only browsers that
don't have online dependencies or forced bloatware.
Like many i've switched long ago to LibreWolf.
I have a pet tool I use for conlang work for writing/worldbuilding that is built on Markov chains and I am smacking my forehead right now at how obvious this seems in hindsight. This is great advice, thank you.
Everything i use depend on perfect cloudflare operation workflow,
practically 99% of these services go down.
What magical qualities it has that no competitors form
for its services?
