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I replaced my $200/mo chatgpt with this $10/mo setup the setup: opencode go ($10/mo) + deepseek harness ($0/mo) deepseek harness just crossed 106,000+ stars in just 45 hours so this guy mapped the entire deepseek-v4 agentic workflows into 9 diagrams → the council, the assembly line, the skeleton crew,... show more

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50,291 views • 2 days ago •via X (Twitter)

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Fable 5 is here to stay in Claude Code till July 12th so this guy just mapped the entire fable 5 agentic workflows into 9 diagrams > the daily loop, trust ledger, standing goals + the 4 optional loops > every one flow-mapped, numbered, editable in excalidraw > each paired with the exact script that runs it and the check that proves it worked plus it's free... all you do is send these screenshots to Claude: save and bookmark this no matter what

Fable 5 is here to stay in Claude Code till July 12th so this guy just mapped the entire fable 5 agentic workflows into 9 diagrams > the daily loop, trust ledger, standing goals + the 4 optional loops > every one flow-mapped, numbered, editable in excalidraw > each paired with the exact script that runs it and the check that proves it worked plus it's free... all you do is send these screenshots to Claude: save and bookmark this no matter what

Avid

426,609 views • 1 month ago

My Codex weekly limit just reset.. This time Sol doesn't get to touch the actual work. It plans, it verifies, it spawns the agents, that's it. Luna at max effort and DeepSeek do the grinding. We're running Luna from two places at once, the $10 OpenCode Go sub and the Codex plan Luna barely moves the meter. Sol is what drains weekly usage. Setup video below for getting DeepSeek into Codex

My Codex weekly limit just reset.. This time Sol doesn't get to touch the actual work. It plans, it verifies, it spawns the agents, that's it. Luna at max effort and DeepSeek do the grinding. We're running Luna from two places at once, the $10 OpenCode Go sub and the Codex plan Luna barely moves the meter. Sol is what drains weekly usage. Setup video below for getting DeepSeek into Codex

Ziwen

38,411 views • 9 days ago

I paired Cloudflare OS with self hosted deepseek-v4-flash and the result is freakin amazing Imagine running this setup inside DGX spark, you get fully private work companion solving all your work stuff The thing about this type of software is it already have a good harness and it probably can work out of the box with every open weight model Cant wait for the future

I paired Cloudflare OS with self hosted deepseek-v4-flash and the result is freakin amazing Imagine running this setup inside DGX spark, you get fully private work companion solving all your work stuff The thing about this type of software is it already have a good harness and it probably can work out of the box with every open weight model Cant wait for the future

Farhan Helmy

56,987 views • 11 days ago

Okay… DeepSeek V4 Flash actually COOKED 😭 With OpenCode, I’d place it around GPT-5.6 Terra Max—and definitely above Luna Max in this test. Almost unlimited usage for around €9, by the way. This model is a MASSIVE success. Just don’t use the wrong harness.

Okay… DeepSeek V4 Flash actually COOKED 😭 With OpenCode, I’d place it around GPT-5.6 Terra Max—and definitely above Luna Max in this test. Almost unlimited usage for around €9, by the way. This model is a MASSIVE success. Just don’t use the wrong harness.

OmedTheVibeCoder

35,417 views • 15 days ago

FREE DeepSeek V4 Pro and V4 Flash API. Runtime by Bad Theory Labs just dropped it. Same platform, new free model, same 2-minute setup. > Runtime already gave you free Claude Opus 4.8 and GPT 5.5 access. Now they added DeepSeek V4 Pro and V4 Flash to the free tier. Absolutely FREE, YES. Same exact flow as before: → Go to runtime(.)badtheorylabs(.)com → Sign up with Google → Fill in your details during onboarding → Free balance lands automatically(But you don't need it to use DeepSeek - it's completely free right now) → Grab your API key from the dashboard → Plug into OpenCode, OpenClaw, or Hermes - done DeepSeek V4 Pro is one of the strongest coding and reasoning models available right now. Free tier also includes btl-2 - auto-routes between GLM, OpenAI, Anthropic, and Gemma. 10 million tokens per month at zero cost. 344 models total. One OpenAI-compatible endpoint. No code rebuild, no card, no limits hunting. >> Just start using the API, and when choosing a provider, select DeepSeek I tested it myself - fully working. Bookmark this before the free tier fills up.

FREE DeepSeek V4 Pro and V4 Flash API. Runtime by Bad Theory Labs just dropped it. Same platform, new free model, same 2-minute setup. > Runtime already gave you free Claude Opus 4.8 and GPT 5.5 access. Now they added DeepSeek V4 Pro and V4 Flash to the free tier. Absolutely FREE, YES. Same exact flow as before: → Go to runtime(.)badtheorylabs(.)com → Sign up with Google → Fill in your details during onboarding → Free balance lands automatically(But you don't need it to use DeepSeek - it's completely free right now) → Grab your API key from the dashboard → Plug into OpenCode, OpenClaw, or Hermes - done DeepSeek V4 Pro is one of the strongest coding and reasoning models available right now. Free tier also includes btl-2 - auto-routes between GLM, OpenAI, Anthropic, and Gemma. 10 million tokens per month at zero cost. 344 models total. One OpenAI-compatible endpoint. No code rebuild, no card, no limits hunting. >> Just start using the API, and when choosing a provider, select DeepSeek I tested it myself - fully working. Bookmark this before the free tier fills up.

Atenov int.

26,920 views • 1 month ago

OpenAI engineer: "Nobody on my team has touched code in 9 months. Agents write all the code, the way you do it is harness engineering." In 45 minutes he breaks down exactly how to build the setup so agents do the full job without you in the loop. This beats any paid course on building agents I've seen. Watch it, then read the full guide on harness engineering below.

OpenAI engineer: "Nobody on my team has touched code in 9 months. Agents write all the code, the way you do it is harness engineering." In 45 minutes he breaks down exactly how to build the setup so agents do the full job without you in the loop. This beats any paid course on building agents I've seen. Watch it, then read the full guide on harness engineering below.

Anatoli Kopadze

24,907 views • 15 days ago

I have been testing DeepSeek-V4-Pro with the Pi coding agent. I am mindblown by how well it works out of the box. A few notes: I spent a few hours building an LLM wiki with an agent powered entirely by DeepSeek-V4-Pro on Fireworks inference. This is the first time I feel like there is an open-weight model that can reason at the level of Claude and Codex. And it does this in a cost-effective way with support for 1M context length. To be clear, I am using DeepSeek-V4-Pro inside of Pi without any special configuration. It works out of the box. It's exciting that there is a model that can just be plugged into a basic harness like Pi, and it just works. I've never seen that before. Most models require lots of configuration and setup. DeepSeek's DeepSeek-V4-Pro is clearly good at agentic coding (probably the best from the open-weight models), but the model is also great on knowledge-intensive tasks where reasoning matters. The agent pulled agentic engineering best practices from different company docs (Anthropic, OpenAI, Google, Stripe, Meta, Modal, DeepSeek, Mistral, Cohere), searched and digested Reddit and HN threads, summarized arxiv papers, and surfaced trending GitHub repos. Then it distilled everything into actionable tips across categories. I love the Wiki it built. The quality is really good. Here is a snapshot of what the wiki looks like: DeepSeek-V4-Pro handled the task without breaking stride. Multi-step research queries, code generation for scaffolding, context-heavy reasoning across disparate sources. For coding specifically, this is the first open-weight model that genuinely feels like a Codex or Claude Code experience. It compares in capability and actual multi-turn agentic work. What made the loop feel so responsive was Fireworks' inference speed (the fastest in the market) and the fact that they actually validate models at the systems level before shipping. No corrupted reasoning traces. Just fast, reliable iteration. The hybrid CSA and HCA attention design cuts KV cache to just 10% and inference FLOPs by nearly 4x at 1M-token context. This is what makes the agent loop actually fast and cheap enough to run in practice. For devs who've been watching open-weight models close the gap but haven't found one that actually delivers in practice, this is the closest I've seen. Try it here:

I have been testing DeepSeek-V4-Pro with the Pi coding agent. I am mindblown by how well it works out of the box. A few notes: I spent a few hours building an LLM wiki with an agent powered entirely by DeepSeek-V4-Pro on Fireworks inference. This is the first time I feel like there is an open-weight model that can reason at the level of Claude and Codex. And it does this in a cost-effective way with support for 1M context length. To be clear, I am using DeepSeek-V4-Pro inside of Pi without any special configuration. It works out of the box. It's exciting that there is a model that can just be plugged into a basic harness like Pi, and it just works. I've never seen that before. Most models require lots of configuration and setup. DeepSeek's DeepSeek-V4-Pro is clearly good at agentic coding (probably the best from the open-weight models), but the model is also great on knowledge-intensive tasks where reasoning matters. The agent pulled agentic engineering best practices from different company docs (Anthropic, OpenAI, Google, Stripe, Meta, Modal, DeepSeek, Mistral, Cohere), searched and digested Reddit and HN threads, summarized arxiv papers, and surfaced trending GitHub repos. Then it distilled everything into actionable tips across categories. I love the Wiki it built. The quality is really good. Here is a snapshot of what the wiki looks like: DeepSeek-V4-Pro handled the task without breaking stride. Multi-step research queries, code generation for scaffolding, context-heavy reasoning across disparate sources. For coding specifically, this is the first open-weight model that genuinely feels like a Codex or Claude Code experience. It compares in capability and actual multi-turn agentic work. What made the loop feel so responsive was Fireworks' inference speed (the fastest in the market) and the fact that they actually validate models at the systems level before shipping. No corrupted reasoning traces. Just fast, reliable iteration. The hybrid CSA and HCA attention design cuts KV cache to just 10% and inference FLOPs by nearly 4x at 1M-token context. This is what makes the agent loop actually fast and cheap enough to run in practice. For devs who've been watching open-weight models close the gap but haven't found one that actually delivers in practice, this is the closest I've seen. Try it here:

elvis

60,091 views • 3 months ago

i found a website that gives you the best AI models for free, every single day 😳 claude, gpt, gemini, deepseek and 10+ more, all in one place. no subscription, no credit card. it's called poe. you get free credits every day, and they reset every 24 hours so you never really run out. what you can use for free: - claude, for writing and thinking through hard stuff - gpt, for everyday questions and chat - gemini, for long documents and images - deepseek, for tricky problems - and 10+ more, all in one login how to start (2 minutes): > 1. go to (or get the app on your phone or mac) > 2. sign up with google or email, no card needed > 3. you land straight in the chat, free credits already there > 4. pick a model on the left and start typing > 5. switch models anytime, the credits refill every day one simple tip to make your credits last: use the small fast models for easy stuff, and save the big ones for when you really need them. don't waste a powerful model on a yes or no question. what this saves you: - chatgpt plus: $20/mo - claude pro: $20/mo - gemini advanced: $20/mo that's $60 a month for three apps that mostly do the same thing. poe gives you all of them in one place, for free. one login. every top model. zero dollars. bookmark this so you stop paying for AI you can get for free

i found a website that gives you the best AI models for free, every single day 😳 claude, gpt, gemini, deepseek and 10+ more, all in one place. no subscription, no credit card. it's called poe. you get free credits every day, and they reset every 24 hours so you never really run out. what you can use for free: - claude, for writing and thinking through hard stuff - gpt, for everyday questions and chat - gemini, for long documents and images - deepseek, for tricky problems - and 10+ more, all in one login how to start (2 minutes): > 1. go to (or get the app on your phone or mac) > 2. sign up with google or email, no card needed > 3. you land straight in the chat, free credits already there > 4. pick a model on the left and start typing > 5. switch models anytime, the credits refill every day one simple tip to make your credits last: use the small fast models for easy stuff, and save the big ones for when you really need them. don't waste a powerful model on a yes or no question. what this saves you: - chatgpt plus: $20/mo - claude pro: $20/mo - gemini advanced: $20/mo that's $60 a month for three apps that mostly do the same thing. poe gives you all of them in one place, for free. one login. every top model. zero dollars. bookmark this so you stop paying for AI you can get for free

Isra

58,018 views • 1 month ago

HERMES DESKTOP APP JUST GOT A NEW ULTRA MODE FOR DEEPSEEK V4 PRO – AND IT COSTS ABOUT $1 A DAY TO RUN If you're using Hermes desktop app, you're probably already running DeepSeek – it's one of the top models available. The update: → DeepSeek V4 Pro now has thinking mode, fast mode, and a brand new ultra mode → There's also an extra high mode, but the real upgrade is ultra The actual cost: roughly $1/day for a normal workflow. That's about $20-25/month – basically the same as before, just with a significantly faster mode unlocked. The verdict after a full day of testing: it flies through tool calling. Noticeably faster, same price range. If you're already paying for DeepSeek through Hermes, this is a free upgrade sitting in your settings right now. Update Hermes, grab the DeepSeek API if you don't have it yet, and try V4 Pro on ultra. Bookmark this, you'll want to come back to it later.

SCOTTY BEAM

24,032 views • 28 days ago

THIS GUY OPENED A TINY PC AND SHOWED HOW A $1,800 GMKTEC EVO-X2 TURNS INTO A LOCAL AI SERVER not a cloud dashboard. not another $200/mo subscription. just one box on a desk, upgraded with storage, cleaner airflow, faster networking, and pointed at real local models. the numbers are what make it interesting. Claude Code Max is $200/mo, ChatGPT Pro is $200/mo, Cursor is another $20/mo. that is $5,040/year just to rent tools most people use for coding, research, summaries, and agents. EVO-X2 flips the setup because it has 128GB unified memory, Ryzen AI Max+ 395, and up to 110GB usable as VRAM on Linux. enough room for Qwen3-Coder 30B, Llama 70B, and 200B-class local models when speed is not the bottleneck. so the workflow becomes simple: buy the box once, install Linux, run the model locally, connect the CLI, and let the machine handle jobs from your own network instead of sending every request to the cloud. this is where the real edge starts. overnight code audits, private document search, local RAG, scraping agents, transcription, file cleanup, all running while the token meter stays at zero. frontier models still win for the hardest prompts. but for daily automation, coding, research, and private workflows, local AI is already moving from nerd setup to obvious business math. the next flex won’t be “which AI plan do you pay for?” it’ll be “what’s running under your desk?”

THIS GUY OPENED A TINY PC AND SHOWED HOW A $1,800 GMKTEC EVO-X2 TURNS INTO A LOCAL AI SERVER not a cloud dashboard. not another $200/mo subscription. just one box on a desk, upgraded with storage, cleaner airflow, faster networking, and pointed at real local models. the numbers are what make it interesting. Claude Code Max is $200/mo, ChatGPT Pro is $200/mo, Cursor is another $20/mo. that is $5,040/year just to rent tools most people use for coding, research, summaries, and agents. EVO-X2 flips the setup because it has 128GB unified memory, Ryzen AI Max+ 395, and up to 110GB usable as VRAM on Linux. enough room for Qwen3-Coder 30B, Llama 70B, and 200B-class local models when speed is not the bottleneck. so the workflow becomes simple: buy the box once, install Linux, run the model locally, connect the CLI, and let the machine handle jobs from your own network instead of sending every request to the cloud. this is where the real edge starts. overnight code audits, private document search, local RAG, scraping agents, transcription, file cleanup, all running while the token meter stays at zero. frontier models still win for the hardest prompts. but for daily automation, coding, research, and private workflows, local AI is already moving from nerd setup to obvious business math. the next flex won’t be “which AI plan do you pay for?” it’ll be “what’s running under your desk?”

Gipp 🦅

13,271 views • 1 month ago

This morning, I gladly joined the campaign trail of Dr Moses Paul (Dr Mo), Dr Mo (Moses Paul), the ADC AMAC Chairmanship Candidate in the February 21 FCT Local Council elections. Our first port of call was Apo Wasa. Dr Mo is the kind of Nigerian that young people in Abuja can relate to and trust with the future of the Municipal Council. I encourage FCT voters, including those in AMAC, to vote for all ADC candidates in these elections. This would be the first step towards ousting the failed APC government. ADC is undoubtedly the party that will salvage Nigeria, and the surest bet is to start with Dr Mo and AMAC. -AA

This morning, I gladly joined the campaign trail of Dr Moses Paul (Dr Mo), Dr Mo (Moses Paul), the ADC AMAC Chairmanship Candidate in the February 21 FCT Local Council elections. Our first port of call was Apo Wasa. Dr Mo is the kind of Nigerian that young people in Abuja can relate to and trust with the future of the Municipal Council. I encourage FCT voters, including those in AMAC, to vote for all ADC candidates in these elections. This would be the first step towards ousting the failed APC government. ADC is undoubtedly the party that will salvage Nigeria, and the surest bet is to start with Dr Mo and AMAC. -AA

Atiku Abubakar

108,814 views • 6 months ago

NVIDIA CEO Jensen Huang: "Every company in the world today needs to have an agentic system strategy. This is the new computer." In 2 hours he breaks down the architecture under every working AI agent and the difference between chatbots that talk and agents that actually do the work. Watch the full talk, then grab the exact setup below👇

NVIDIA CEO Jensen Huang: "Every company in the world today needs to have an agentic system strategy. This is the new computer." In 2 hours he breaks down the architecture under every working AI agent and the difference between chatbots that talk and agents that actually do the work. Watch the full talk, then grab the exact setup below👇

darkzodchi

114,822 views • 2 months ago

What's the Big Deal with DeepSeek in AI? Here's why DeepSeek is making everyone take notice: 1. Super Smart on a Budget: DeepSeek showed you can make awesome AI without breaking the bank. Their latest model, DeepSeek-V3, was trained for only about $10 million, which is a lot less than the usual big bucks spent on AI, like the rumored $78 million for some of OpenAI's models. They did this in just two months with fewer fancy computers. 2. Open for Everyone: DeepSeek isn't keeping their tech a secret. They've made it open-source, meaning anyone can use, tweak, and learn from it. It's like they're saying, "Come join the party!" 3. Beating the Big Names: DeepSeek-V3 has done better than some top dogs from companies like OpenAI and Google in solving puzzles, math, and coding. This proves you can get great AI results without spending a fortune. 4. Challenging NVIDIA: NVIDIA's chips are usually the choice for AI because they're really powerful. But since DeepSeek did so well with less expensive chips, it might make people think twice about always going for NVIDIA's priciest options. 5. The DeepSeek Crew: The team at DeepSeek is young and smart, mostly from top Chinese schools, with brains in physics, math, and computer science. They learned AI in about six months by themselves! They use first principle thinking, which means they break down problems to the basics and build from there. This has helped them come up with cool new ways to do AI. 6. Changing AI for Good: DeepSeek is showing that AI can be cheaper and more open to everyone. They're changing how we think AI should be made and shared, which could shake up the whole AI world. So, as we watch DeepSeek, it's clear they're not just another player; they're changing the rules of the game. I predicted that this would be a make or break year for all the massive investments made in AI by American VC's. A few weeks later, DeepSeek happens! Watch the rest of my predictions in my 2025 outlook video . Link in replies #AIInnovation #DeepSeek #NVIDIA #OpenAI #TechDisruption

What's the Big Deal with DeepSeek in AI? Here's why DeepSeek is making everyone take notice: 1. Super Smart on a Budget: DeepSeek showed you can make awesome AI without breaking the bank. Their latest model, DeepSeek-V3, was trained for only about $10 million, which is a lot less than the usual big bucks spent on AI, like the rumored $78 million for some of OpenAI's models. They did this in just two months with fewer fancy computers. 2. Open for Everyone: DeepSeek isn't keeping their tech a secret. They've made it open-source, meaning anyone can use, tweak, and learn from it. It's like they're saying, "Come join the party!" 3. Beating the Big Names: DeepSeek-V3 has done better than some top dogs from companies like OpenAI and Google in solving puzzles, math, and coding. This proves you can get great AI results without spending a fortune. 4. Challenging NVIDIA: NVIDIA's chips are usually the choice for AI because they're really powerful. But since DeepSeek did so well with less expensive chips, it might make people think twice about always going for NVIDIA's priciest options. 5. The DeepSeek Crew: The team at DeepSeek is young and smart, mostly from top Chinese schools, with brains in physics, math, and computer science. They learned AI in about six months by themselves! They use first principle thinking, which means they break down problems to the basics and build from there. This has helped them come up with cool new ways to do AI. 6. Changing AI for Good: DeepSeek is showing that AI can be cheaper and more open to everyone. They're changing how we think AI should be made and shared, which could shake up the whole AI world. So, as we watch DeepSeek, it's clear they're not just another player; they're changing the rules of the game. I predicted that this would be a make or break year for all the massive investments made in AI by American VC's. A few weeks later, DeepSeek happens! Watch the rest of my predictions in my 2025 outlook video . Link in replies #AIInnovation #DeepSeek #NVIDIA #OpenAI #TechDisruption

Dr Ola Brown

83,460 views • 1 year ago

ANTHROPIC JUST LOST 20,000 CLAUDE CODE USERS TO ONE GITHUB REPO. 20,000 devs. 26k stars. 4,000 forks. 10 free models. COMPLETELY FREE. Bookmark this before Anthropic notices. Your Claude Code bill will start working differently. It reroutes Claude Code to DeepSeek, Kimi, and 8 more same CLI, different model behind it. 5 min setup. $200/mo saved. 0 downgrade on small tasks. swap the endpoint in your config today. Link below. Claude Code → Endpoint swap → Free models → No bill → Money

ANTHROPIC JUST LOST 20,000 CLAUDE CODE USERS TO ONE GITHUB REPO. 20,000 devs. 26k stars. 4,000 forks. 10 free models. COMPLETELY FREE. Bookmark this before Anthropic notices. Your Claude Code bill will start working differently. It reroutes Claude Code to DeepSeek, Kimi, and 8 more same CLI, different model behind it. 5 min setup. $200/mo saved. 0 downgrade on small tasks. swap the endpoint in your config today. Link below. Claude Code → Endpoint swap → Free models → No bill → Money

AdiiX

417,501 views • 1 month ago

New AI just replaced N8N forever. And it’s completely free right now. Here’s how I built 3 workflows → ✔ Gmail → Slack → ClickUp (3 mins). ✔ YouTube → Blog → LinkedIn posts (auto). ✔ Competitor tracker → SEO briefs (instantly). No setup. No coding. Just talk to the AI and it builds everything. Save this video, you’ll rethink automation. DM “SOP” for the full workflow. 💬

New AI just replaced N8N forever. And it’s completely free right now. Here’s how I built 3 workflows → ✔ Gmail → Slack → ClickUp (3 mins). ✔ YouTube → Blog → LinkedIn posts (auto). ✔ Competitor tracker → SEO briefs (instantly). No setup. No coding. Just talk to the AI and it builds everything. Save this video, you’ll rethink automation. DM “SOP” for the full workflow. 💬

Julian Goldie SEO

69,613 views • 10 months ago

This guy explained agent harness, memory, and loop engineering in one video - clearer than most paid courses a raw LLM with no harness is a wild horse. all power, no direction > trace the run -> score it with an LLM -> diagnose the bottleneck -> patch it -> ship it that loop is what lets an agent get sharper on its own, run after run memory + harness + loop engineering + evals - that's the whole stack in one picture watch it, then grab the diagram below

This guy explained agent harness, memory, and loop engineering in one video - clearer than most paid courses a raw LLM with no harness is a wild horse. all power, no direction > trace the run -> score it with an LLM -> diagnose the bottleneck -> patch it -> ship it that loop is what lets an agent get sharper on its own, run after run memory + harness + loop engineering + evals - that's the whole stack in one picture watch it, then grab the diagram below

Mr. Buzzoni

44,605 views • 13 days ago

This is Milner talking about the standards at Liverpool. It wasn't just Mo, it was the culture that they all installed into the club and everyone bought into it. I can't see any of the current lads getting in early or staying late and imo Slot doesn't command authority.

This is Milner talking about the standards at Liverpool. It wasn't just Mo, it was the culture that they all installed into the club and everyone bought into it. I can't see any of the current lads getting in early or staying late and imo Slot doesn't command authority.

Craig

99,831 views • 3 months ago

Mo Gawdat believes up to 30% of jobs in certain sectors could disappear by 2028. That stopped me in my tracks. Mo was one of the first people to come on this podcast and warn me about AI, long before most of the world was talking about it. At the time, it felt early. Now, it feels like the world is catching up to what he was seeing. I’m still trying to understand what AI actually means for our lives. Not just whether it can write emails, create images or make us more productive. I mean what it does to jobs. What it does to power. What it does to education. What it does to human connection… That’s why I wanted to have this discussion with Mo again. What makes Mo worth listening to is that he saw these systems inside Google years before most of us had even heard the term AI. His book *Scary Smart* now feels like it was written for this exact moment. Let me explain why this discussion matters. Mo believes we’re not just entering an AI revolution. We’re entering a period where AI, robotics, economics, surveillance, digital currencies and global instability are all colliding at the same time. That’s a lot for any of us to process. We spoke about: - The jobs Mo believes are most at risk from AI. - Why he believes that AI is actually underhyped! - The mistake almost everyone is making with ChatGPT. - The prediction that changed even his own view of the future. The part that stayed with me was this idea that human connection may become the real currency. Because if AI can produce the information, write the report, analyse the data, then what is left? I don’t think this conversation gives neat answers. That’s probably why it’s worth watching. It helped me think more honestly about what’s coming.

Mo Gawdat believes up to 30% of jobs in certain sectors could disappear by 2028. That stopped me in my tracks. Mo was one of the first people to come on this podcast and warn me about AI, long before most of the world was talking about it. At the time, it felt early. Now, it feels like the world is catching up to what he was seeing. I’m still trying to understand what AI actually means for our lives. Not just whether it can write emails, create images or make us more productive. I mean what it does to jobs. What it does to power. What it does to education. What it does to human connection… That’s why I wanted to have this discussion with Mo again. What makes Mo worth listening to is that he saw these systems inside Google years before most of us had even heard the term AI. His book Scary Smart now feels like it was written for this exact moment. Let me explain why this discussion matters. Mo believes we’re not just entering an AI revolution. We’re entering a period where AI, robotics, economics, surveillance, digital currencies and global instability are all colliding at the same time. That’s a lot for any of us to process. We spoke about: - The jobs Mo believes are most at risk from AI. - Why he believes that AI is actually underhyped! - The mistake almost everyone is making with ChatGPT. - The prediction that changed even his own view of the future. The part that stayed with me was this idea that human connection may become the real currency. Because if AI can produce the information, write the report, analyse the data, then what is left? I don’t think this conversation gives neat answers. That’s probably why it’s worth watching. It helped me think more honestly about what’s coming.

Steven Bartlett

27,882 views • 2 months ago