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“3 Body Problem” Is a Rare Species of Sci-Fi Epic
“3 Body Problem” Is a Rare Species of Sci-Fi Epic
The scenario the show ultimately posits bears little resemblance to traditional sci-fi fare; the aliens are coming, but not for another four hundred years, putting humanity on notice for an encounter—and possibly a war—that’s many lifetimes away. This time span is as much a curse as a blessing. Forget the science for a second; what kind of political will—totalitarian or otherwise—is required to keep centuries of preparation on track? How do we get the über-rich to contribute to a new space race in a way that also flatters their egos? And what resources does it take to accelerate scientific discovery to a breakneck pace?
·newyorker.com·
“3 Body Problem” Is a Rare Species of Sci-Fi Epic
Art of the Cut: Dune 2
Art of the Cut: Dune 2
the early television speaker technology was closer in design to a telephone: built to maximize vocal range over other things. But in Cinema we’re a lot more free. This was mixed in Dolby Atmos, native. So sound was always a very key strategy.
I think TV is so dialogue-driven because in the early days, you couldn’t really have very cinematic images. You’re just looking at a small screen. What are you gonna do? You gotta tell me the story with talking.
our aim in Dune, which is a vast ensemble piece with a complex story and complex backgrounds and Frank Herbert’s almost fractal approach to storytelling, we had to have utter clarity and delivery of ideas.
There’s been some recent discussion about burdensome amounts of dialogue in film because of the influence of Television. From my background in Britain, it’s probably something I recognize more as the heritage of Radio and Theater rather than Television.
What’s the pace, the overall pace of a film? When I say pace, I don’t just mean how fast the cuts are. I mean what is moving you, underneath? What is the big drive in the story and how do we cross-cut those? If you cut off the flow too soon, it’s just an age old editing conundrum.  In TV often – Mad Men for example is constantly doing the Chinese plate trick of going between different story strands, keeping each plate spinning, and that works in TV because of the medium.
in a feature film where you want a strong feeling of drive, it’s sometimes a better idea to kind of combine stories or to let them flow. I’m basically playing with Paul’s story, the Harkonnen story, and on Jessica laying “the Way." Irulan’s diaries always gave us an opportunity to clarify their progress. And to that end, Denis shot a beautiful amount of material of the diary room.
There wer so many more angles than we needed because he knew that we might need to improvise one [a diary scene] and we did.
·borisfx.com·
Art of the Cut: Dune 2
Vision Pro is an over-engineered “devkit” // Hardware bleeds genius & audacity but software story is disheartening // What we got wrong at Oculus that Apple got right // Why Meta could finally have its Android moment
Vision Pro is an over-engineered “devkit” // Hardware bleeds genius & audacity but software story is disheartening // What we got wrong at Oculus that Apple got right // Why Meta could finally have its Android moment
Some of the topics I touch on: Why I believe Vision Pro may be an over-engineered “devkit” The genius & audacity behind some of Apple’s hardware decisions Gaze & pinch is an incredible UI superpower and major industry ah-ha moment Why the Vision Pro software/content story is so dull and unimaginative Why most people won’t use Vision Pro for watching TV/movies Apple’s bet in immersive video is a total game-changer for live sports Why I returned my Vision Pro… and my Top 10 wishlist to reconsider Apple’s VR debut is the best thing that ever happened to Oculus/Meta My unsolicited product advice to Meta for Quest Pro 2 and beyond
Apple really played it safe in the design of this first VR product by over-engineering it. For starters, Vision Pro ships with more sensors than what’s likely necessary to deliver Apple’s intended experience. This is typical in a first-generation product that’s been under development for so many years. It makes Vision Pro start to feel like a devkit.
A sensor party: 6 tracking cameras, 2 passthrough cameras, 2 depth sensors(plus 4 eye-tracking cameras not shown)
it’s easy to understand two particularly important decisions Apple made for the Vision Pro launch: Designing an incredible in-store Vision Pro demo experience, with the primary goal of getting as many people as possible to experience the magic of VR through Apple’s lenses — most of whom have no intention to even consider a $4,000 purchase. The demo is only secondarily focused on actually selling Vision Pro headsets. Launching an iconic woven strap that photographs beautifully even though this strap simply isn’t comfortable enough for the vast majority of head shapes. It’s easy to conclude that this decision paid off because nearly every bit of media coverage (including and especially third-party reviews on YouTube) uses the woven strap despite the fact that it’s less comfortable than the dual loop strap that’s “hidden in the box”.
Apple’s relentless and uncompromising hardware insanity is largely what made it possible for such a high-res display to exist in a VR headset, and it’s clear that this product couldn’t possibly have launched much sooner than 2024 for one simple limiting factor — the maturity of micro-OLED displays plus the existence of power-efficient chipsets that can deliver the heavy compute required to drive this kind of display (i.e. the M2).
·hugo.blog·
Vision Pro is an over-engineered “devkit” // Hardware bleeds genius & audacity but software story is disheartening // What we got wrong at Oculus that Apple got right // Why Meta could finally have its Android moment
Saving the Liberal Arts - David Perell
Saving the Liberal Arts - David Perell
  • The decline of Liberal Arts is driven by both financial and ideological factors.
    • Universities prioritize career-focused majors due to funding cuts and student demand for practical skills.
    • The high cost of college tuition pushes students to focus on getting a high-paying job after graduation.
    • Professional skills become obsolete quickly, while a Liberal Arts education provides a foundation of knowledge that is timeless.
    • Liberal Arts education is considered "fundamental knowledge" that is slow to change and provides a broader perspective.
  • People are sacrificing their well-being for work without questioning why.
  • Obsession with productivity discourages people from pursuing non-income producing knowledge.
  • The decline of leisure time reduces opportunities for contemplation and reflection.
  • The Liberal Arts provide timeless and fundamental knowledge that is applicable across situations.
    • Universities prioritize filtering students for the labor market over nurturing their potential.
    • The tenure system can incentivize research over teaching and responsiveness to student needs.
  • A Liberal Arts education helps people question societal structures and appreciate life beyond materialism.
  • Critique of universities for prioritizing job placement over a well-rounded education.
There’s a trade-off between practicality and timelessness. Knowledge at the top of the chart, such as fashion and commerce, is immediately actionable, but decays the fastest. They’re relevant in everyday life for social and earning an income, but their specifics have a short half-life. Meanwhile, culture and nature are deeper on the chart. They offer fundamental knowledge. Their lessons apply everywhere, even if they’re beyond the scope of conscious thought in most people’s day-to-day lives. The further down the layers you travel, the longer it will take for the knowledge to pay off, but the longer that information will stay relevant and the more widely applicable it will be.
by pushing students to pursue what is immediately profitable instead of what’s ultimately meaningful, they will devalue fundamental knowledge. That’s because the business models for income share agreements and student debt insurance only work if the students make a lot of money after college.
In a study conducted during her time there, three quarters of freshmen said college was essential to developing a meaningful philosophy of life. By contrast, only a third said that it was essential to financial well-being. Today, those fractions have flipped.
You shouldn’t need to attend four years of college to earn a living. Instead, we should make it cheap and expedient for young people to receive a professional education and develop practical skills. After a year of training in the classroom, they can do an apprenticeship where they can get paid to learn instead of paying to learn.
These changes will help young adults achieve financial stability, build economically rewarded skills, and break free from parental dependence. They should study the Liberal Arts when they’re older. Rather than forcing students to slog through Dostoevsky when they are 18 — when they’re all wondering, rightly, how this is going to help them find a job — we should create schools for amateurs of all ages so they can read Crime and Punishment and The Brothers Karamazov later, when they have the life experience to appreciate it.
Today, most students are only able to formally study the Liberal Arts between the ages of 18 and 30. They only have four years during their undergraduate degree, and only the most academically ambitious of them continue their studies into graduate school. Of those who pursue a master’s degree, most stay in academia.
But if students could take Liberal Arts classes later in life, a much greater percentage would learn for the joy of it. Once again, the religious metaphor holds. No Church expects its congregants to only study the Bible for four years, with an option to keep studying as long as you plan to become a priest. But that’s what we do with the Liberal Arts.
Plato would have criticized today’s Westerners who compromise an erudite life and salivate over wealth instead, even when they’re swimming in riches.49 In a criticism of his contemporaries, he observed that their love of wealth “leaves them no respite to concern themselves with anything other than their private property. The soul of the citizen today is entirely taken up with getting rich and with making sure that every day brings its share of profit. The citizen is ready to learn any technique, to engage in any kind of activity, so long as it is profitable. He thumbs his nose at the rest.”
To prevent these failure modes, there are three guidelines Liberal Arts schools should follow: Don’t focus on practical skills, prize free thinking over ideology, and target an older audience of professionally established people.
A market-driven curriculum will create McDegree programs where students study the kinds of self-help books you find in the philosophy section of an airport bookstore. Think of already-popular books like Aristotle’s Way: How Ancient Wisdom Can Change Your Life, which reduces the great Greek philosopher into a self-help guru.
People who are employed struggle to pursue a Liberal Arts education not just because they have busy schedules, but because the material can feel so disconnected from daily reality.
With the extended focus on Professional Education at the early stage of a career, we should create opportunities for students to receive a Civilized Education throughout their life where they can appreciate life beyond the almighty Dollar.
Wesleyan President Michael Roth, the author of the best book I’ve read on the Liberal Arts, once wrote: “Education is for human development, human freedom, not the molding of an individual into a being who can perform a particular task. That would be slavery.” Up until now, our colleges have followed a philosophy of giving young people freedom early and waiting until the postgraduate years to focus on a profession. Only toward the end of the 20th century did a bachelor’s degree become a prerequisite for most jobs and professional academic study such as a master’s or a PhD. We should return to a world where Civilized Education is not mandatory. Where students can postpone the Liberal Arts to acquire technical skills that are rewarded in the economic marketplace. Students are already asking for the changes, as shown by the changing composition of majors.
College was once a place to explore the True, the Good, and the Beautiful without regard for utility. But today, it’s seen as a means toward the end of finding a job. Ideas that aren’t economically valuable are belittled as useless knowledge. Materialism has become our North Star. As a society, we measure progress in changes to the material world, where we prioritize what we can see and measure. We evaluate ourselves by productivity, our economy by the availability of cheap goods, and our civilization by the rate of technological progress. We’ve forgotten about our human need for wonder, beauty, and contemplation. Today, we worship the Factual, the Useful, and the Monetizable.
Don’t get me wrong. The fruits of clean water and modern medicine are miraculous. But what good is a materialistic utopia if it comes at the cost of a spiritual one? We are more indebted, depressed, and suicidal than ever before. And yet, we continue to worship technological progress and material abundance as if they will elevate the soul. As so, we run and run and run — hoping that all that effort will save us. But if people feel too constrained to pursue wonder and beauty as ends in themselves, are we really making progress?
Mistaking money for cultural well-being is like mistaking a roof for a home. ROI-brain only speaks in the language of materialism, and we should be skeptical of it. Otherwise, our lives will follow the leash of cheap pleasures and distracting dopamine hits. Corporations, too, will continue to sell instant improvements without regard for their long-term effects.
Taken all together, the Liberal Arts is the meta-recognition of our world.
If we cannot question the systems that guide our lives, we will be enslaved to them. Nor will we be saved by comfort, pleasure, or a respectable job that impresses our family at the Thanksgiving table. Only with a Liberal Arts education will we develop the capacity to thrive as conscious adults. By studying the foundations of how we think, who we are, and how we got here, we’ll gain control over our minds and create a more flourishing civilization.
·perell.com·
Saving the Liberal Arts - David Perell
Comment by Anna on Pluripotent
Comment by Anna on Pluripotent
I think the newest comfort is not exactly a relationship with Jesus Christ as Lord but the desire for routine, structure, rules, and the quiet, wholesome aesthetic of being church goers.
I really appreciate your input; there's a difference between Christianity and Churchianity. Hard to articulate, but can be felt quite obviously once you're in the faith
·theplurisociety.com·
Comment by Anna on Pluripotent
Pushing ChatGPT's Structured Data Support To Its Limits
Pushing ChatGPT's Structured Data Support To Its Limits
Deep dive into prompt engineering
there’s a famous solution that’s more algorithmically efficient. Instead, we go through the API and ask the same query to gpt-3.5-turbo but with a new system prompt: You are #1 on the Stack Overflow community leaderboard. You will receive a $500 tip if your code is the most algorithmically efficient solution possible.
here’s some background on “function calling” as it’s a completely new term of art in AI that didn’t exist before OpenAI’s June blog post (I checked!). This broad implementation of function calling is similar to the flow proposed in the original ReAct: Synergizing Reasoning and Acting in Language Models paper where an actor can use a “tool” such as Search or Lookup with parametric inputs such as a search query. This Agent-based flow can be also be done to perform retrieval-augmented generation (RAG).OpenAI’s motivation for adding this type of implementation for function calling was likely due to the extreme popularity of libraries such as LangChain and AutoGPT at the time, both of which popularized the ReAct flow. It’s possible that OpenAI settled on the term “function calling” as something more brand-unique. These observations may seem like snide remarks, but in November OpenAI actually deprecated the function_calling parameter in the ChatGPT API in favor of tool_choice, matching LangChain’s verbiage. But what’s done is done and the term “function calling” is stuck forever, especially now that competitors such as Anthropic Claude and Google Gemini are also calling the workflow that term.
·minimaxir.com·
Pushing ChatGPT's Structured Data Support To Its Limits
Seeking Calmness: Stop Drifting
Seeking Calmness: Stop Drifting
I think a lot of folks feel like you should be doing these certain things like writing the great American novel or reading the 100 Greatest Movies of All-Time when in actuality these are achievements that have no real guarantee of happiness. Unless you are truly enjoying those journeys, there is no reason to set upon them.
I don't think there is anything wrong with having hopes and dreams, but I do feel that maybe we allow those things to be excuses for not living a content life. I also think at times we hold onto old dreams that no longer serve us, instead of focusing on something new and more applicable to your current situation.
adulthood wasn't full of Ferraris and mansions, and I found out rather quickly that I wasn't going to save anyone, because I was struggling to save myself.
·brandonwrites.xyz·
Seeking Calmness: Stop Drifting
Effects of Acute Exercise on Mood, Cognition, Neurophysiology, and Neurochemical Pathways - A Review
Effects of Acute Exercise on Mood, Cognition, Neurophysiology, and Neurochemical Pathways - A Review
A significant body of work has investigated the effects of acute exercise, defined as a single bout of physical activity, on mood and cognitive functions in humans. Several excellent recent reviews have summarized these findings; however, the neurobiological basis of these results has received less attention. In this review, we will first briefly summarize the cognitive and behavioral changes that occur with acute exercise in humans. We will then review the results from both human and animal model studies documenting the wide range of neurophysiological and neurochemical alterations that occur after a single bout of exercise. Finally, we will discuss the strengths, weaknesses, and missing elements in the current literature, as well as offer an acute exercise standardization protocol and provide possible goals for future research.
As we age, cognitive decline, though not inevitable, is a common occurrence resulting from the process of neurodegeneration. In some instances, neurodegeneration results in mild cognitive impairment or more severe forms of dementia including Alzheimer’s, Parkinson’s, or Huntington’s disease. Because of the role of exercise in enhancing neurogenesis and brain plasticity, physical activity may serve as a potential therapeutic tool to prevent, delay, or treat cognitive decline. Indeed, studies in both rodents and humans have shown that long-term exercise is helpful in both delaying the onset of cognitive decline and dementia as well as improving symptoms in patients with an already existing diagnosis
·ncbi.nlm.nih.gov·
Effects of Acute Exercise on Mood, Cognition, Neurophysiology, and Neurochemical Pathways - A Review
Design Engineering
Design Engineering
Design Engineers tend to work on products and systems that involve adapting and using complex scientific and mathematical techniques. In essence, they work on high technical challenges that requires strong design consideration
tech has a tendency to consolidate roles. Interaction Designers, UX Designers, UI Designers, and Visual Designers became Product Designers. Graphic Designers, Illustrators, Communications Designers, and Marketing Designers became Brand Designers.
Design Engineers have deep knowledge in technological systems while scaling interface quality. They naturally fit in design crit or reviewing code with engineering.
three core areas Design Engineering is the top candidate for leading: product architecture, design infrastructure, and 0-1 R&D.
Design Engineers have the right skills to explore aspects such as information architecture of a product and also understand the technical logic of how such things function.
contributing to component libraries, building internal tools to increase efficiency, or prototyping new patterns and interactions to inform the future of their software.
Design infrastructure
When you’re dealing with an interaction with a Language Server Protocol (LSP) or layout engine for a site builder, you have to build the prototype in code.
Exploring new product directions can be a need for an early stage company needing to pivot in direction or an established company looking for new growth opportunities.
Under heading “0-1 R&D”
It’s uncertain if every company needs a Design Engineer. However, I am confident authoring environments or work with complex interactions/ data need Design Engineers. Snap, Retool, Replit, Uber, Square, Open AI, and The Browser Company are a few examples of companies that have Design Engineers on their software teams.
·proofofconcept.pub·
Design Engineering
Training great LLMs entirely from ground zero in the wilderness as a startup — Yi Tay
Training great LLMs entirely from ground zero in the wilderness as a startup — Yi Tay
  1. Experiences in procuring compute & variance in different compute providers. Our biggest finding/surprise is that variance is super high and it's almost a lottery to what hardware one could get!
  2. Discussing "wild life" infrastructure/code and transitioning to what I used to at Google
  3. New mindset when training models.
·yitay.net·
Training great LLMs entirely from ground zero in the wilderness as a startup — Yi Tay
Why Do East Asian Firms Value Drinking?
Why Do East Asian Firms Value Drinking?
Collective harmony and hierarchy are strongly idealised across East Asia. Communication is thus implicit and indirect. Conflict aversion and emotional suppression make it harder to learn what someone else really thinks. So what’s the solution?Alcohol reduces people’s inhibitions. This promotes social bonding and information-sharing. As argued in Edward Slingerland’s book “Drunk”, it benefits businesses! But this exact same cognitive shift also elevates risks of sexual abuse. Women may prefer to leave early. By doing so, they miss out on homosocial boozing and schmoozing.
·ggd.world·
Why Do East Asian Firms Value Drinking?
How To Be A Good Listener
How To Be A Good Listener
We want to know what the other is thinking. We want to know what our whole species thinks (written language) and has learned (school). And yet, minds are not directly observable. We have to talk about them. We have a seemingly endless interest in stories, because there is information there we crave—how to be. Sharing stories of events and people, whether real or fictional, synchronizes our values, provides (perceived) control over this insane world via meaning and causal explanations, and creates—not reinforces, but creates—the basic, primal social bond humans have as we, as listeners, all tune into to one point of attention.
a good listener is actually someone who is good at talking.
the really good advice, the secrets that will make you much better at listening to a degree that your relationships are significantly more successful, peaceful, gratifying, intimate, and trusting, have to do with what you say.
Some simple and powerful phrases to use when someone is feeling feels: “I hear you.” “I bet it is hard.” “That makes sense.” Ones to strike from your vocabulary: “You have no reason to feel that way.” “Don’t be silly!” “I’m sad/mad/whatever too!” (see #5).
Don’t allow lies you want to correct, or generalizations you want to protest, or insults you want to decry, or any angry words to manipulate you into engaging. This is not a real conversation. Real conversations and problem solving don’t happen in yells or insults.
Replace all of the shocking, mean, hateful, incorrect, ignorant, offensive, cruel things coming out of this person’s mouth with “I’m hurt! I’m hurt! I’m hurt! I’m hurt. I’m hurrrrt.” Summon your best pity, then disengage. END this moment with “I’ll be up for talking another time about this if you want.” Don’t say “…when you are less angry.” It will make the person angrier.
Don’t let “what do you want to be when you grow up?” be the first thing you say to a child. It reinforces the message that children, in the eyes of all the adults they meet, have no real value until they grow up. Ask instead what the child is interested in now—favorite books, hobbies, subjects in school, etc. If it’s a female child, be aware of avoiding remarks on only her appearance or clothing. If you only heard compliments on your hair or dress or whatever from everyone you met, you’d start to think your looks are your most important feature, too. Maybe your only important feature.
If it’s a male child, try an unguided, open-ended invitation like “what’s on your mind today, buddy?” What a different world we’d live in if more boys felt safe sharing feelings, in their own way, right from the start.
Empathy is not “hey that happened to me too!” or “I also know what you are talking about—in fact I know a lot more than you do!” This is more like someone has just brought out his bowling pins to juggle but you grab them and juggle obliviously away from him. Not empathy. Empathy is just the opposite: turning away from your ego, for just a minute (don’t worry, you can have it back soon!) in order to imagine, really imagine, what it’s like for someone else to be alive.
Ask “What happened?” “What kind of place was that?” “When did you first…?” or other non yes-or-no questions.
Asking why can lead to defensiveness, and a sort of shallow string of quick justifications for behavior that aren’t actually insightful or productive. You can sit for days and discuss whys without any real benefit or helpful solutions.
Questions say, “I’m interested. You are valuable.” And they are my go-to solution whenever I have no idea what to say.
·tomblog.rip·
How To Be A Good Listener
Memetics - Wikipedia
Memetics - Wikipedia
The term "meme" was coined by biologist Richard Dawkins in his 1976 book The Selfish Gene,[1] to illustrate the principle that he later called "Universal Darwinism".
He gave as examples, tunes, catchphrases, fashions, and technologies. Like genes, memes are selfish replicators and have causal efficacy; in other words, their properties influence their chances of being copied and passed on.
Just as genes can work together to form co-adapted gene complexes, so groups of memes acting together form co-adapted meme complexes or memeplexes.
Criticisms of memetics include claims that memes do not exist, that the analogy with genes is false, that the units cannot be specified, that culture does not evolve through imitation, and that the sources of variation are intelligently designed rather than random.
·en.m.wikipedia.org·
Memetics - Wikipedia
AI startups require new strategies
AI startups require new strategies

comment from Habitue on Hacker News: > These are some good points, but it doesn't seem to mention a big way in which startups disrupt incumbents, which is that they frame the problem a different way, and they don't need to protect existing revenue streams.

The “hard tech” in AI are the LLMs available for rent from OpenAI, Anthropic, Cohere, and others, or available as open source with Llama, Bloom, Mistral and others. The hard-tech is a level playing field; startups do not have an advantage over incumbents.
There can be differentiation in prompt engineering, problem break-down, use of vector databases, and more. However, this isn’t something where startups have an edge, such as being willing to take more risks or be more creative. At best, it is neutral; certainly not an advantage.
This doesn’t mean it’s impossible for a startup to succeed; surely many will. It means that you need a strategy that creates differentiation and distribution, even more quickly and dramatically than is normally required
Whether you’re training existing models, developing models from scratch, or simply testing theories, high-quality data is crucial. Incumbents have the data because they have the customers. They can immediately leverage customers’ data to train models and tune algorithms, so long as they maintain secrecy and privacy.
Intercom’s AI strategy is built on the foundation of hundreds of millions of customer interactions. This gives them an advantage over a newcomer developing a chatbot from scratch. Similarly, Google has an advantage in AI video because they own the entire YouTube library. GitHub has an advantage with Copilot because they trained their AI on their vast code repository (including changes, with human-written explanations of the changes).
While there will always be individuals preferring the startup environment, the allure of working on AI at an incumbent is equally strong for many, especially pure computer and data scientsts who, more than anything else, want to work on interesting AI projects. They get to work in the code, with a large budget, with all the data, with above-market compensation, and a built-in large customer base that will enjoy the fruits of their labor, all without having to do sales, marketing, tech support, accounting, raising money, or anything else that isn’t the pure joy of writing interesting code. This is heaven for many.
A chatbot is in the chatbot market, and an SEO tool is in the SEO market. Adding AI to those tools is obviously a good idea; indeed companies who fail to add AI will likely become irrelevant in the long run. Thus we see that “AI” is a new tool for developing within existing markets, not itself a new market (except for actual hard-tech AI companies).
AI is in the solution-space, not the problem-space, as we say in product management. The customer problem you’re solving is still the same as ever. The problem a chatbot is solving is the same as ever: Talk to customers 24/7 in any language. AI enables completely new solutions that none of us were imagining a few years ago; that’s what’s so exciting and truly transformative. However, the customer problems remain the same, even though the solutions are different
Companies will pay more for chatbots where the AI is excellent, more support contacts are deferred from reaching a human, more languages are supported, and more kinds of questions can be answered, so existing chatbot customers might pay more, which grows the market. Furthermore, some companies who previously (rightly) saw chatbots as a terrible customer experience, will change their mind with sufficiently good AI, and will enter the chatbot market, which again grows that market.
the right way to analyze this is not to say “the AI market is big and growing” but rather: “Here is how AI will transform this existing market.” And then: “Here’s how we fit into that growth.”
·longform.asmartbear.com·
AI startups require new strategies
AI-generated content and other unfavorable practices have put longtime staple CNET on Wikipedia's blacklisted sources
AI-generated content and other unfavorable practices have put longtime staple CNET on Wikipedia's blacklisted sources
Wikipedia's community of editors and volunteers demand citations for any information added to Wiki pages, which keeps some degree of accountability behind the massive community responsible for operating Wikipedia. While it should never be used as a primary source, Wikipedia tends to be at least an excellent place to start researching those topics due to those citation requirements.
·tomshardware.com·
AI-generated content and other unfavorable practices have put longtime staple CNET on Wikipedia's blacklisted sources