Deus iii

7.6K posts

Deus iii

Deus iii

@deus_iii

Lagos, Nigeria Katılım Ocak 2010
2.5K Takip Edilen161 Takipçiler
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Ricardo
Ricardo@Ric_RTP·
The man who INVENTED modern AI just made a billion dollar bet that ChatGPT, Claude, and every AI company on earth is building the wrong technology. Yann LeCun won the Turing Award in 2018 for creating the neural networks that made AI possible. He spent a decade running AI research at Meta. Oversaw the creation of Llama and PyTorch, the tools that half the AI industry runs on. Then he quit. And raised $1.03 billion in a seed round. The LARGEST seed round in European history. $3.5 billion valuation before generating a single dollar of revenue. Bezos wrote the check. So did Nvidia. Samsung. Toyota. Temasek. Eric Schmidt. Mark Cuban. Tim Berners-Lee (the guy who invented the internet). His new company is called AMI Labs. And it's built on one thesis: Every AI company spending billions on large language models is wasting their money. ChatGPT, Claude, Gemini, Grok. They all work the same way. They predict the next word in a sequence. See "the cat sat on the" and predict "mat." Scale that to trillions of words and you get something that sounds intelligent. But LeCun says it doesn't UNDERSTAND anything. It can't reason. It can't plan. It can't predict what happens when you push a glass off a table. A two year old can do that. GPT-5 cannot. That's why AI hallucinates. It doesn't have a model of how the world actually works. It just predicts words. His solution? Something called JEPA. Instead of predicting words, it learns how the PHYSICAL WORLD works. Abstract representations of reality. Not language but physics. Think about what that means. Current AI can write your emails. LeCun's AI could design a car, run a factory, operate a robot, or diagnose a patient without hallucinating and killing someone. The CEO of AMI said it perfectly: "Factories, hospitals, and robots need AI that grasps reality. Predicting tokens doesn't cut it." And here's what's really crazy to me... LeCun isn't some outsider throwing rocks. He literally built the foundations that ChatGPT runs on. He knows exactly how these systems work because he helped create them. And after watching the entire industry sprint in one direction for three years, he raised a billion dollars to run the OPPOSITE way. No product. No revenue. No timeline. Just pure research. He told investors it could take YEARS to produce anything commercial. But they funded it anyway in just four months. Meanwhile OpenAI just raised $120 billion and still can't stop their models from making things up. Anthropic is building AI so dangerous they're afraid to release it. Google is burning billions trying to catch up. And the guy who started it all says they're all solving the wrong problem. Two Turing Award winners raised $2 billion in three weeks betting AGAINST the entire LLM approach. LeCun at AMI. Fei-Fei Li at World Labs. The smartest people in AI are quietly building the exit from the technology everyone else is betting their future on. Either they're wrong and the trillion dollar LLM industry keeps printing. Or they're right and every AI company on earth just built on a foundation that's about to crack.
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Mor Edge Insight
Mor Edge Insight@MorEdge_Insight·
Interesting economics history. And it wasn’t the Jooos… So many haters will hate this
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Corey Ganim
Corey Ganim@coreyganim·
me watching people bookmark this article instead of actually doing it: the move nobody will make: 1. follow this 5-step process for yourself 2. do it again for a local business owner 3. charge $3-5K 4. offer a $500/mo retainer to maintain and update it 5. repeat for 5 clients that's $15-25K in setup fees and $2,500/mo recurring. from one article. read it and take action.
Corey Ganim@coreyganim

x.com/i/article/2036…

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Karan
Karan@karankendre·
Call Centers Will Go Bankrupt If People Start Building Their Own Voice AI Agents The only thing you need to do to make thousands of dollars is: 1. Partner with salons, clinics, and other service-based businesses 2. Deploy a custom AI agent to handle FAQs and appointment bookings 3. Price it at $1000/m roughly one-third (or less) of what a human receptionist actually costs a business This article is a complete playbook to do exactly that
Google AI Studio@GoogleAIStudio

x.com/i/article/2037…

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Johannes Maria
Johannes Maria@luo_yuehan·
What if Iran could trigger a crash in the U.S. economy using strategies nobody is paying attention to? Professor Jiang Xueqin explains the hidden game.
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Linus ✦ Ekenstam
Linus ✦ Ekenstam@LinusEkenstam·
The early majority getting a taste of Claude. We're going to be in one heck of a year. Accelleration guaranteed.
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may.crypto {🦅}
may.crypto {🦅}@xmayeth·
> you went to sleep > gave your OpenClaw $200 > told it: make money > you wake up - account shows $6,700 > overnight the agent was trading spreads between Polymarket and NOAA > NOAA forecasts come with ~94% accuracy > the AI agent opens a position at 11c > sells at 44c > total research time: 10 minutes in Perplexity > Claude turned that into an AI agent > the agent made the money
rari@0xwhrrari

x.com/i/article/2034…

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Alton Syn
Alton Syn@WorkflowWhisper·
I built 31 automations for clients last year. Every single business - from solo founders to 50-person teams - needed some version of the same workflows. So I documented all of them. Every workflow. Every department. And the exact plain-English prompt that builds each one in minutes. Sales & CRM: lead capture, follow-up sequences, deal tracking, proposal generation, pipeline alerts Marketing: social scheduling, email sequences, content repurposing, UTM tracking, review requests Operations: invoice generation, payment reminders, inventory alerts, automated reporting Customer Success: onboarding emails, NPS surveys, churn detection, support routing Admin: meeting scheduling, expense tracking, document generation, approval workflows Each one includes the specific prompt I use to build it - not vague instructions, the actual sentence I type. Plus which 3 to start with if you want to save 10+ hours/week immediately. Comment "PLAYBOOK" and I'll DM you the full PDF for free.
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ΞXΞ
ΞXΞ@R1M5150·
This episode with @SimonDixonTwitt and @PeterMcCormack is by far the most eloquent explanation of whats going on in the Middle East. Had to watch this a couple of times for all this information to sink in. This is just a sample of what he dissected. Bravo Simon!
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David Senra
David Senra@davidsenra·
IBM built a cloud of suits to make sure the CEO never talked to anyone actually doing the work. @elonmusk does the opposite. "Elon's method is extreme focus on substance. Extreme focus on getting to the truth. In any organization with multiple layers, there's compounding lies. Each layer wants to look good. Each layer puts a little spin on things. If one layer lies to the next layer above it, maybe that's okay. When that happens two or three times, the lies compound. If that happens six times, the lies really compound. If that happens 12 times, the CEO has no idea what's happening. That was IBM. By the time I got there as an intern, I calculated there were 12 layers of management between me and the CEO. They even had a term for it: the great cloud. A cloud of men in gray business suits who followed the CEO around and prevented him from ever talking to anybody who was actually doing the work. When he would come to visit, it was like a visit from the king. A completely impervious bubble. That's the polar opposite of the Elon approach." — @pmarca
David Senra@davidsenra

My conversation with Marc Andreessen (@pmarca), co-founder of @a16z and Netscape. 0:00 Caffeine Heart Scare 0:56 Zero Introspection Mindset 3:24 Psychedelics and Founders 4:54 Motivation Beyond Happiness 7:18 Tech as Progress Engine 10:27 Founders Versus Managers 20:01 HP Intel Founder Legacy 21:32 Why Start the Firm 24:14 Venture Barbell Theory 28:57 JP Morgan Boutique Banking 30:02 Religion Split Wall Street 30:41 Barbell of Banking 31:42 Allen & Company Model 33:16 Planning the VC Firm 33:45 CAA Playbook Lessons 36:49 First Principles vs. Status Quo 39:03 Scaling Venture Capital 40:37 Private Equity and Mad Men 42:52 Valley Shifts to Full Stack 45:59 Meeting Jim Clark 48:53 Founder vs. Manager at SGI 54:20 Recruiting Dinner Story 56:58 Starting the Next Company 57:57 Nintendo Online Gamble 58:33 Building Mosaic Browser 59:45 NSFnet Commercial Ban 1:01:28 Eternal September Shift 1:03:11 Spam and Web Controversy 1:04:49 Mosaic Tech Support Flood 1:07:49 Netscape Business Model 1:09:05 Early Internet Skepticism 1:11:15 Moral Panic Pattern 1:13:08 Bicycle Face Story 1:14:48 Music Panic Examples 1:18:12 Lessons from Jim Clark 1:19:36 Clark Versus Barksdale 1:21:22 Tesla Versus Edison 1:23:00 Edison Digression Setup 1:23:13 AI Forecasting Myths 1:23:43 Edison Phonograph Lesson 1:25:11 Netscape Two Jims 1:29:11 Bottling Innovation 1:31:44 Elon Management Code 1:32:24 IBM Big Gray Cloud 1:37:12 Engineer First Truth 1:38:28 Bottlenecks and Speed 1:42:46 Milli Elon Metric 1:47:20 Starlink Side Project 1:49:10 Closing Includes paid partnerships.

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Joe Rogan Podcast News
Joe Rogan Podcast News@joeroganhq·
Joe Rogan goes silent as guest dives deep on who Zelenskyy really is.
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🇿🇦 iScathulo SePhara 👞
This guy has made over 30 videos covering different topics since the war began. He has been 100% accurate in each and every video. Watch him in his latest video explaining how he knows without a doubt Netanyahu is dead
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Moon Dev
Moon Dev@MoonDevOnYT·
Claude + Polymarket = Free Money? (Full Bot Tutorial)
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GREG ISENBERG
GREG ISENBERG@gregisenberg·
i heard about a guy in a small town in england who turned his openclaw into a short form video marketing machine millions of views, steady app downloads, and revenue coming in every day i needed to find out how he was doing it 1. spin up an ai “employee” using openclaw 2. give it one job like grow your app with tiktokk 3. give it access to tiktokk analytics, a browser to research and image/video tools to create content 4. the openclaw studies your niche and starts generating slideshows and videos 5. every post feeds performance data back into the system views → hook quality downloads → CTA quality revenue → funnel quality the openclaw then iterates on - new hooks - new formats - new CTAs until it finds winners one of his posts hit 170k+ views and the system keeps improving because the analytics loop feeds back into the content generation so the agent slowly learns what works what i like about this is the framing most people think about ai tools this is different you spin up an ai employee you give it a job and let it run the loop thanks to @oliverhenry for coming on the @startupideaspod today more like this soon, i will share the most interesting stories and gatekeep nothing this episode was dripping in sauce i gotta try this and see if it works kinda wild if it does watch
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Okara
Okara@askOkara·
Today we're introducing the world's first AI CMO. Enter your website and it deploys a team of agents to help you get traffic and users. Try it now at okara.ai/cmo
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Andrew Bolis
Andrew Bolis@AndrewBolis·
You can easily earn $9000/month if you have ChatGPT, a laptop, an internet connection, and 60 mins daily. Usually, I charge $97 for this exclusive guide, but today it's yours for FREE. Like + comment 'AI' & I'll send you my proven guide for FREE. Must follow me to get DM. FREE for 48 hrs.
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0xMarioNawfal
0xMarioNawfal@RoundtableSpace·
Anthropic just launched Anthropic Academy Totally free — 13+ official courses, complete with certificates, and zero subscription required. Some highlights: → Claude 101 (perfect starting point) → Claude Code in Action → Building with the Claude API (seriously in-depth, 8+ hours of content) → Intro to MCP + Advanced MCP → Agent Skills → Claude on AWS Bedrock & Google Vertex AI anthropic.skilljar.com
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