The anti-AI crowd is giving "real farmers don't use tractors" energy, and it's getting old.
反AI的人在演「真正的農民不用拖拉機」,這套說詞真的該退流行了
Look, I get it. "AI slop" is everywhere. Bad AI art, hollow AI writing, shitty music being generated, chatbots regurgitating nonsense. There's plenty to criticize. But I'm noticing a legitimate critique is slowly turning into a tribal identity, and now reflexively hating anything AI-adjacent has become the intellectually lazy default for a lot of people online.
The thing is, we've been here before. When the mechanical tractor started replacing horse-drawn plows in the early 20th century, farmers faced the same resistance to new technology. Some legitimate concerns existed, but much of the backlash was rooted in fear of change rather than rational analysis. Today's anti-AI movement mirrors this pattern—valid points about AI's current limitations and misuse are getting drowned out by blanket rejection.
The real issue isn't whether AI exists; it's how we choose to use it. Tools are neutral. A tractor can be used to cultivate crops or destroy them. Similarly, AI can generate garbage or solve real problems. Instead of tribal identity politics around technology, we should focus on developing better practices, stronger ethics, and smarter regulation. Dismissing all AI as inherently bad isn't intellectually rigorous—it's just the new Luddite fallacy.
OpenAI is hosting a livestream event. Details about the specific announcements, product launches, or demonstrations will be revealed during the broadcast.
The last time OpenAI did an unannounced livestream, they dropped GPT-4 Turbo and changed pricing overnight
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ChatGPT Images 2.0
OpenAI is launching ChatGPT Images 2.0 with major upgrades to image generation capabilities. Watch the livestream announcement at https://openai.com/live/
OpenAI is positioning this as a direct competitor to established image generation tools, suggesting they're confident enough to challenge the current market leaders
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The "just wait 6 months" argument from 2025 survived exactly one iteration
Throughout 2025 the standard response to any complaint about an LLM was some version of "just wait 3-6 months, the next generation will handle this effortlessly." The argument was everywhere. Every limitation was temporary, every missing capability was a few iterations away, every autonomous agent demo was a preview of imminent reality.
It's April 2026 now and worth checking how that held up.
On r/ClaudeAI this week there's a long thread about Opus 4.7 where multiple users argue it's a regress
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Mistral Medium 3.5 on AMD Strix Halo: Painfully Slow (Plan for Overnight Runs)
Someone actually tested Mistral Medium 3.5 on AMD's new Strix Halo chip, and the results are... not great. For a 48k-token prompt with 4k thinking tokens, it took about 2 hours just to get an answer about code architecture. Yeah, you read that right—two hours. The takeaway: if you want to run this locally on Strix Halo, queue it up before bed. The technical setup involved heavy optimization (Q5_K_XL quantization, GPU acceleration with -ngl 999, cache reuse), but even with all that tuning, it's still a crawl. Not exactly the "instant local AI" dream, but hey, at least it works.