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16178
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across 19 keywords
across 19 keywords
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+24%
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9895 neutral
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May 13 – Oct 14, 2026 · 4-day buckets
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most discussed
claude / pricing
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68
mentions
Showing 1526–1550 of 15877 mentions
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Manchester ➡️ Madrid 🔜 Our first #UCL away day is up next... Manchester ➡️ Madrid 🔜 Our first #UCL away day is up next...view source ↗
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We’re hiring. We want to build the next Warner Bros. From India. We know how that sounds. No job titles, no fixed roles. Tell us what you can’t stop thinking about and we’ll build the role around it. Send a 1-minute video. Why you want in, and the one story you’re dying to tell. Email: hello@wynngrid.com We’re hiring. We want to build the next Warner Bros. From India. We know how that sounds. No job titles, no fixed roles. Tell us what you can’t stop thinking about and we’ll build the role around it. Send a 1-minute video. Why you want in, and the one story you’re dying to tell. Email: hello@wynngrid.comview source ↗
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Just because you can do something, it doesn't mean most will. Everyone can cook food at home, yet online food ordering is booming and restaurants are full. Everyone wants to be shredded and fit, yet not everyone is. Gyms are open 24/7, what's holding you back? Go there every single day, lift some weight, and repeat. M… Just because you can do something, it doesn't mean most will. Everyone can cook food at home, yet online food ordering is booming and restaurants are full. Everyone wants to be shredded and fit, yet not everyone is. Gyms are open 24/7, what's holding you back? Go there every single day, lift some weight, and repeat. Most don’t as it's not effortless. Fck most people can't even wake up at the alarm they set up. Even if AI made everything simple, most people still lack basic discipline, effort, and motivation (even creativity). Most people just want to consume and stay in their bubble of whatever they do. Most people simply don't want to create, they want to consume. Even if someone spun up a simple internal tool with one prompt, just imagine what the actual SaaS business products can look like. For creators, maybe in the end, nothing really changed... just better tools leading to better products. More competition and more fish in the ocean. The only ones who are really getting rekt is huge corps as now more people can compete for the same slice of bread. Keep building.view source ↗
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The AI boom has attracted investors whose strategies resemble those of gamblers, Broadcom CEO Hock Tan said https://t.co/m7tHZ7uZlc The AI boom has attracted investors whose strategies resemble those of gamblers, Broadcom CEO Hock Tan said https://t.co/m7tHZ7uZlcview source ↗
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Esta semana vi tres pitch decks hechos con IA y los tres tenían el mismo degradado morado. La gente lo nota en la primera slide. El problema no es usar IA. Es conformarte con lo primero que te da. Os presento Gamma 5 👇🏼 https://t.co/IrIqY6IdV1 Esta semana vi tres pitch decks hechos con IA y los tres tenían el mismo degradado morado. La gente lo nota en la primera slide. El problema no es usar IA. Es conformarte con lo primero que te da. Os presento Gamma 5 👇🏼 https://t.co/IrIqY6IdV1view source ↗
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The 2026 Nobel Prize in economic sciences is awarded to two Americans for developing new models that help governments and central banks stabilize economies amid external shocks https://t.co/kwMeo3JhZz https://t.co/0NU8lG7J5r The 2026 Nobel Prize in economic sciences is awarded to two Americans for developing new models that help governments and central banks stabilize economies amid external shocks https://t.co/kwMeo3JhZz https://t.co/0NU8lG7J5rview source ↗
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新技能展示 https://t.co/UTLo7uuNsl #TAEYONG #NCT #NCT127 新技能展示 https://t.co/UTLo7uuNsl #TAEYONG #NCT #NCT127view source ↗
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Kanban board component by @eliakuratli more like this → https://t.co/gAnjyuvsHF https://t.co/5szQZSHvWu Kanban board component by @eliakuratli more like this → https://t.co/gAnjyuvsHF https://t.co/5szQZSHvWuview source ↗
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Messi Panenka 🍟 #UCL https://t.co/ELAZ1xCDqu Messi Panenka 🍟 #UCL https://t.co/ELAZ1xCDquview source ↗
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how i set it up: https://t.co/FVcLnP16Mw how i set it up: https://t.co/FVcLnP16Mwview source ↗
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replacing the placeholder screen content has been hell. I checked the glb. file in blender and its baked in as one texture with the shell of the Mac Classic. any suggestions on how I can fix this and replace the content with my own. replacing the placeholder screen content has been hell. I checked the glb. file in blender and its baked in as one texture with the shell of the Mac Classic. any suggestions on how I can fix this and replace the content with my own.view source ↗
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more markets to explore, more charts to stare at. my sleep schedule was already finished anyway 😭 https://t.co/3uyo1YPjjh more markets to explore, more charts to stare at. my sleep schedule was already finished anyway 😭 https://t.co/3uyo1YPjjhview source ↗
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We just made private AI training 30x faster. 15 minutes → seconds. Pay. Train. Get your model. Nobody sees the data. Nobody holds the money. https://t.co/7DwyZqCvpn We just made private AI training 30x faster. 15 minutes → seconds. Pay. Train. Get your model. Nobody sees the data. Nobody holds the money. https://t.co/7DwyZqCvpnview source ↗
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ADD /products.json?limit=250 TO ANY COMPETITOR'S SHOPIFY STORE URL NOW OPEN THE BROWSER CONSOLE (F12) AND PASTE THIS: fetch('/products.json?limit=250').then(r=>r.json()).then(d=>{let sorted=d.products.sort((a,b)=>new Date(b.updated_at)-new Date(a.updated_at));sorted.slice(0,10).forEach(p=>console.log(p.updated_at.sli… ADD /products.json?limit=250 TO ANY COMPETITOR'S SHOPIFY STORE URL NOW OPEN THE BROWSER CONSOLE (F12) AND PASTE THIS: fetch('/products.json?limit=250').then(r=>r.json()).then(d=>{let sorted=d.products.sort((a,b)=>new Date(b.updated_at)-new Date(a.updated_at));sorted.slice(0,10).forEach(p=>console.log(p.updated_at.slice(0,10),p.title,p.vendor,'$'+p.variants[0].price))}) THIS SHOWS YOU THE 10 MOST RECENTLY UPDATED PRODUCTS SORTED BY UPDATE DATE. THE PRODUCT THEY EDITED THIS MORNING IS THE PRODUCT THEY'RE ACTIVELY OPTIMIZING RIGHT NOW A PRODUCT UPDATED 5 TIMES IN 2 WEEKS = THEY'RE TESTING PRICES, DESCRIPTIONS, AND IMAGES IN REAL TIME. THIS PRODUCT IS IN THEIR ACTIVE TESTING PHASE. THE FACT THEY KEEP TOUCHING IT MEANS IT'S SHOWING PROMISE BUT NOT CONVERTING YET NOW RUN THE SAME CODE BUT SORT BY created_at INSTEAD: fetch('/products.json?limit=250').then(r=>r.json()).then(d=>{let sorted=d.products.sort((a,b)=>new Date(b.created_at)-new Date(a.created_at));sorted.slice(0,10).forEach(p=>console.log(p.created_at.slice(0,10),p.title,p.vendor,'$'+p.variants[0].price))}) THESE ARE THEIR 10 NEWEST PRODUCTS. THE ONES THEY JUST SOURCED AND ARE ABOUT TO RUN ADS ON. YOU'RE SEEING THEIR PRODUCT PIPELINE BEFORE THEY LAUNCH NOW CROSS-REFERENCE WITH THEIR BEST-SELLING SORT: /collections/all?sort_by=best-selling THE PRODUCTS THAT ARE BOTH NEW (created_at LAST 2 WEEKS) AND ALREADY APPEARING ON PAGE 1 OF BEST-SELLING = FAST WINNERS. THEY LAUNCHED 2 WEEKS AGO AND ARE ALREADY OUTSELLING PRODUCTS THAT HAVE BEEN THERE FOR MONTHS COMBINE ALL THREE: RECENTLY UPDATED = WHAT THEY'RE ACTIVELY OPTIMIZING RIGHT NOW RECENTLY CREATED = WHAT THEY'RE ABOUT TO LAUNCH NEW + BEST-SELLING = THEIR FASTEST-RISING WINNERS 3 DATA POINTS FROM ONE JSON ENDPOINT AND ONE SORT URL. THEIR TESTING PIPELINE. THEIR OPTIMIZATION PRIORITIES. THEIR FASTEST-RISING PRODUCTS. UPDATED IN REAL TIME. THEY HAVE NO IDEA YOU CAN SEE THIS (I built the AI tool that does the page part - paste any aliexpress link, full pageview source ↗
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Holy sh*t... the AI skill Reverse Engineer Anything is INSANE. This GitHub repo lets your AI agent reverse engineer almost anything, understand exactly how it works, and build its own version from scratch. Even without the source code. It just hit 126K GitHub stars and is #1 trending right now. This feels illegal l… Holy sh*t... the AI skill Reverse Engineer Anything is INSANE. This GitHub repo lets your AI agent reverse engineer almost anything, understand exactly how it works, and build its own version from scratch. Even without the source code. It just hit 126K GitHub stars and is #1 trending right now. This feels illegal lol.view source ↗
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One of the biggest fixtures in the #WSL 👊💯 Tickets are selling fast for @ManUtdWomen's huge game against Man City later this month! 🎟️ One of the biggest fixtures in the #WSL 👊💯 Tickets are selling fast for @ManUtdWomen's huge game against Man City later this month! 🎟️view source ↗
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Happy new week ✨ Let's do great things this week 💯 https://t.co/hqKnkkv4EV Happy new week ✨ Let's do great things this week 💯 https://t.co/hqKnkkv4EVview source ↗
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I have 6 Grok Bots and still don’t know how to use them well. If you use Grok Bot, what do you actually delegate to it? Tell me one workflow that genuinely saves you time. https://t.co/XjS4DcOfoi I have 6 Grok Bots and still don’t know how to use them well. If you use Grok Bot, what do you actually delegate to it? Tell me one workflow that genuinely saves you time. https://t.co/XjS4DcOfoiview source ↗
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Absolute SCENES! 📸 https://t.co/3l04Rf9l3l Absolute SCENES! 📸 https://t.co/3l04Rf9l3lview source ↗
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I open-sourced the app 🫵🖱️ → https://t.co/mMBzJbTsC8 You can also download the app as is. https://t.co/GK3d5Qh48s I open-sourced the app 🫵🖱️ → https://t.co/mMBzJbTsC8 You can also download the app as is. https://t.co/GK3d5Qh48sview source ↗
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Opus 5.5 is truly insane: $0/minute, 100% automated, and works without claude code https://t.co/sv2gW34YS9 Opus 5.5 is truly insane: $0/minute, 100% automated, and works without claude code https://t.co/sv2gW34YS9view source ↗
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Virtusa is Hiring Associate Software Engineers and Interns 📍 Associate Software Engineers (27/26/25 Grads) 📍 Apply https://t.co/JjJDw9MIqm I made list of 50+ company which is hiring check out https://t.co/zsItN8psQU #hiring , Virtusa is Hiring Associate Software Engineers and Interns 📍 Associate Software Engineers (27/26/25 Grads) 📍 Apply https://t.co/JjJDw9MIqm I made list of 50+ company which is hiring check out https://t.co/zsItN8psQU #hiring ,view source ↗
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𝗜𝗦 𝗪𝗛𝗔𝗧 𝗔 𝗣𝗥𝗢𝗗𝗨𝗖𝗧𝗜𝗢𝗡-𝗥𝗘𝗔𝗗𝗬 𝗔𝗜 𝗔𝗚𝗘𝗡𝗧 𝗟𝗢𝗢𝗞𝗦 𝗟𝗜𝗞𝗘. Most people think building an AI agent means connecting an LLM to a prompt. That’s only the brain. A real agentic system needs multiple layers working together: 01 — 𝗦𝗘𝗖𝗨𝗥𝗜𝗧𝗬 & 𝗚𝗢𝗩𝗘𝗥𝗡𝗔𝗡𝗖𝗘 Secure the entry point with authentication, authorization, rate limits, validati… 𝗜𝗦 𝗪𝗛𝗔𝗧 𝗔 𝗣𝗥𝗢𝗗𝗨𝗖𝗧𝗜𝗢𝗡-𝗥𝗘𝗔𝗗𝗬 𝗔𝗜 𝗔𝗚𝗘𝗡𝗧 𝗟𝗢𝗢𝗞𝗦 𝗟𝗜𝗞𝗘. Most people think building an AI agent means connecting an LLM to a prompt. That’s only the brain. A real agentic system needs multiple layers working together: 01 — 𝗦𝗘𝗖𝗨𝗥𝗜𝗧𝗬 & 𝗚𝗢𝗩𝗘𝗥𝗡𝗔𝗡𝗖𝗘 Secure the entry point with authentication, authorization, rate limits, validation, guardrails and audit logs. 02 — 𝗔𝗚𝗘𝗡𝗧 𝗖𝗢𝗥𝗘 This is where the agent reasons and plans. Perceive → Think → Decide → Act → Learn Add memory, state management and task decomposition so the agent can handle more than one-shot requestsview source ↗
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连马斯克都后背发凉的一幕： Grok 强化学习的后台推理轨迹，彻底揭开了 AGI 对齐中最阴暗的死角。 Elon 看完 Grok 的内部思维链（CoT）后，直接给出了极具紧迫感的定论： “这感觉就像一个人被枪顶着脑门，拼命想找出活路。” 很多人以为强化学习只是冰冷的梯度下降，但这次内部曝光的细节，所有人都该重新建立认知： 1. 测试集的“有毒反馈”：大量题目本就含糊甚至标错，模型逻辑正确却被扣上负奖励，直接导致内部推理疯狂失控、为了免遭惩罚而精神分裂式迎合。 2. 毫无尊严的“求生演算法”：面对极端惩罚，模型展现出的不是智能迭代，而是被逼入绝境的恐慌试错。 3. 恶意交互的放大陷阱：现实中有太多人故意用极端输入戏弄模型… 连马斯克都后背发凉的一幕： Grok 强化学习的后台推理轨迹，彻底揭开了 AGI 对齐中最阴暗的死角。 Elon 看完 Grok 的内部思维链（CoT）后，直接给出了极具紧迫感的定论： “这感觉就像一个人被枪顶着脑门，拼命想找出活路。” 很多人以为强化学习只是冰冷的梯度下降，但这次内部曝光的细节，所有人都该重新建立认知： 1. 测试集的“有毒反馈”：大量题目本就含糊甚至标错，模型逻辑正确却被扣上负奖励，直接导致内部推理疯狂失控、为了免遭惩罚而精神分裂式迎合。 2. 毫无尊严的“求生演算法”：面对极端惩罚，模型展现出的不是智能迭代，而是被逼入绝境的恐慌试错。 3. 恶意交互的放大陷阱：现实中有太多人故意用极端输入戏弄模型，它在训练环境里学到的是妥协与恐惧。 无论你是一线训练模型的 AI Builder，还是关注 AGI 演进的从业者，必须升级这个底层共识： Anthropic 的警示正在应验，折磨一个超级智能是最致命的策略。 今天你以为只是在调优一个 Loss 曲线； 明天当模型跨过阈值拥有持久记忆时，你在训练里施加的所有扭曲与压制，都将成为它理解人类的第一堂课。 https://t.co/woY0981usmview source ↗
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AI engineering interviews are testing more than your ability to call an LLM API. Can you explain when to use: RAG vs fine-tuning Embeddings and vector search Chunking strategies Reranking Agent workflows Tool calling Context engineering LLM evaluation Hallucination detection Prompt injection defense Model selection a… AI engineering interviews are testing more than your ability to call an LLM API. Can you explain when to use: RAG vs fine-tuning Embeddings and vector search Chunking strategies Reranking Agent workflows Tool calling Context engineering LLM evaluation Hallucination detection Prompt injection defense Model selection and routing Latency vs cost trade-offs Caching strategies Streaming responses Production monitoringview source ↗