与「Blogs」相关的搜索结果

In 2014, Elon Musk stood in front of an audience at MIT and told the whole world exactly where AI was going. Everyone missed it. Because he used one word, and that's the only thing the internet remembered: "demon." The headlines called him scared of killer robots. Tech blogs called it hyperbole. People moved on. I went back and watched that moment. It's barely 2 minutes long. You'll never hear the word "AI" the same way again. Here's what I took away. 1. He called it before almost anyone. Someone in the audience asks about AI. His face goes serious. "If I were to guess like what our biggest existential threat is, it's probably that. So we need to be very careful with the artificial intelligence." This was 2014. No ChatGPT. Most people had never heard the word "chatbot." 2. He asked for rules 12 years ago. "I'm increasingly inclined to think that there should be some regulatory oversight, maybe at the national and international level, just to make sure that we don't do something very foolish." National AND international. In 2014. Governments are still arguing about it today. 3. The demon line wasn't a joke. "With artificial intelligence we are summoning the demon." And then the part almost nobody quotes: "In all those stories where there's the guy with the pentagram and the holy water, it's like, yeah, he's sure he can control the demon. Doesn't work out." Read that again. His warning wasn't about the demon. It was about the guy who thinks he can control it. 4. Now here's what got me. In 2014 he said: summoning the demon. In 2018 he told Joe Rogan: "Nobody listened." In 2023 he signed a letter asking AI labs to pause. In 2026 he told The Economist he can't see any way to stop it anymore. His new philosophy? "Let's enjoy the ride." And: "If you can't beat them, join them." Today he's building one of the most powerful AIs on Earth. 12 years later, the man who warned us about the guy with the pentagram is holding one. My takeaway: He wasn't wrong in 2014. He just realized nobody was going to stop it. So he decided to build it himself. Whether that's genius or the exact ending of his own story, I honestly don't know. So now I'm asking you: Was Musk right in 2014? Or did he become the guy in his own warning? Tell me below. I genuinely want to know where people land on this.

for the first time ever, I'm sharing everything I do across all my SaaS to rank on Google and get mentioned by AI every SEO and AEO lesson I've learned is here: 1. we show up in Reddit threads. AI pulls a lot of its answers from Reddit, so Bazzly finds the threads that are fresh, and even the ones already ranking on Google, and gets our products into the top reply 2. we get our products listed #1# in listicles that already rank on Google, with Outrank. when someone asks ChatGPT for the best tool, those are the pages it reads 3. we turn Reddit questions into blog articles. Bazzly shows us what people actually ask, and we feed those questions to Outrank 4. I regularly sit down and find new niches where our products could be useful. I research each one and feed it to Outrank, and Outrank finds new ones on its own too, so our keyword plans keep expanding into new markets 5. we publish an SEO article on our own blogs every day, also with Outrank 6. Outrank helps us refresh old articles regularly. AI and Google both prefer recent pages, so every page has to stay current 7. we build new backlinks every week with Outrank, and every placement gets verified. we also pitch guest posts using Outrank's free guest post database of 278 checked sites, all DR 20+ 8. we regularly ship extremely useful free tools for potential users, and each one ranks on Google and brings people into our products 9. every month we check which AI answers name our products and which don't Outrank's AI Visibility Checker asks ChatGPT, Claude, Gemini and Perplexity real buyer questions, then shows whether we got named, which competitors did, and which sources got cited we feed those sources back into Bazzly, Outrank and our internal social content all of this brings in new users, and then we run loops that turn them into champions who spread the word 10. we incentivize our users to share honest reviews of our products on Instagram, TikTok, X and LinkedIn, and on public review sites 11. we let our users become affiliates, and then we help them make better content about our products. in the last 30 days, ~$8K has been generated by Revid affiliates alone basically every SEO and AEO lesson I learn building Outrank and Bazzly goes straight into every product I run and the idea behind all of it is simple AI recommends the most mentioned product so we make sure every one of our products gets mentioned everywhere Google and AI look: all sorts of blogs, listicles, Reddit, review sites and social and this setup does the job extremely well, for every product we run

best blogs of the week (so insightful that i read at least twice) Coding Agent: How @cognition reduces Devin's token cost by harnessing: How @cursor_ai builds complex projects with low redundancy through swarm: How @claudeai Code designs context for new model-driven agents: Robots: @MistralAI SOTA visual navigation model: Vision models: @GoogleDeepMind unveils the source of creativity for diffusion models:

BREAKING: Grokipedia just surpassed ~50 million visits. • Over 420,000 backlinks • Over 10,000 referring domains More people are shifting to @Grokipedia Keep sharing Grokipedia links on your websites and blogs. This is how we can beat Wokipedia.

#ShamelessSelfpromoWednesdayfor# the #WritingCommunity#. Drop #Links# to your #Books#, #Blogs#, #Art#, #URL’s#, #Poetry#, #YouTube#, #Podcasts#, and #Music # Let’s support each other 🥰 #writing# #amwriting# #readingcommunity# #author# #writerscommunity#

Let’s have a #ShamelessSelfpromoTuesday# the #WritingCommunity#. Drop #Links# to your #Books#, #Blogs#, #Art#, #URL’s#, #Poetry#, #YouTube#, #Podcasts# and #Music # Let’s support each other 🥰 #writing# #amwriting# #readingcommunity # #author# #writer# #writerscommunity# #TuesdayFeeling# #LisaHaden#

Finding myself going back to RSS/Atom feeds a lot more recently. There's a lot more higher quality longform and a lot less slop intended to provoke. Any product that happens to look a bit different today but that has fundamentally the same incentive structures will eventually converge to the same black hole at the center of gravity well. We should bring back RSS - it's open, pervasive, hackable. Download a client, e.g. NetNewsWire (or vibe code one) Cold start: example of getting off the ground, here is a list of 92 RSS feeds of blogs that were most popular on HN in 2025: Works great and you will lose a lot fewer brain cells. I don't know, something has to change.

I’m starting to get into a habit of reading everything (blogs, articles, book chapters,…) with LLMs. Usually pass 1 is manual, then pass 2 “explain/summarize”, pass 3 Q&A. I usually end up with a better/deeper understanding than if I moved on. Growing to among top use cases. On the flip side, if you’re a writer trying to explain/communicate something, we may increasingly see less of a mindset of “I’m writing this for another human” and more “I’m writing this for an LLM”. Because once an LLM “gets it”, it can then target, personalize and serve the idea to its user.

Safety evaluations are critical for understanding whether a model is ready to deploy, which safeguards to build for it, and where to focus training and research. On our Engineering Blog, we offer 10 recommendations for how to design, run and report them.