VideoNate Herk
One word for AI agents in 2027
I asked people at Oracle AI World for one word to describe AI agents in 2027. Hyped or scared?
för 4 tim sedan youtube.com
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1 november 2026
31 oktober 2026
VideoMatt Wolfe
Glasses That Make You Telepathic
Sharing the latest news and advancements in AI Discover More: 🛠️ Explore AI Tools & News: https://futuretools.io/ 📰 Weekly Newsletter: https://futuretools.io/newsletter Socials: ❌ Twiter/X: https://x.com/mreflow 🖼️ Instagram: https://instagram.com/mr.eflow 🧵 Threads: https://www.threads.net/@mr.eflow 🟦 LinkedIn: https://www.linkedin.com/in/matt-wolfe-30841712/ 👍 Facebook: https://www.facebook.com/mattrwolfe Let’s work together! - Brand, sponsorship & business inquiries: business@mattwolfe.com #AINews #AITools #ArtificialIntelligence
för 11 tim sedan youtube.com
VideoNate Herk
Who's your favorite person in AI?
Favorite person in AI? I asked people at Oracle AI World. Who's yours?
för 16 tim sedan youtube.com
VideoAll About AI
Can AI Predict The Future and MAKE MONEY On The Outcome?
Can AI Predict The Future and MAKE MONEY On The Outcome? Get early access: https://www.siktintelligence.com/ 🐦⬛ Tomorrow’s headlines, before they happen. Sikt Intelligence is building an AI superforecaster: it reads the world’s news, weighs the evidence and puts an honest probability on the biggest events, right next to what the prediction markets say. When the two disagree, that’s your signal. Built in Oslo, Norway · Not financial advice. Business Contact: kbfseo@gmail.com 00:00 Week 1: Testing AI Predictions with Real Money 01:05 The Setup: 14 Events on Polymarket & Kalshi 02:48 First Trade: Betting Against the US GDP Forecast 03:50 NVIDIA & Gold: Comparing AI Forecasts with Market Prices 04:51 The Full Forecast: Which Trades to Take or Skip 06:10 Week 1 Results: Wins, Losses & Total P&L 10:06 Eli Lilly Case Study: One Forecast, Two Trades 13:05 Lessons Learned & Plans for Week 2
för 17 tim sedan youtube.com
VideoNate Herk
Favorite AI model? Asking people at Oracle AI World
Favorite AI model? I asked people at Oracle AI World.
31 okt. youtube.com
VideoNate Herk
Every Claude 2.0 Concept Explained for Non-Coders
My FREE AI OS course: https://www.skool.com/ai-automation-society/about?el=every-claude-concept-explained&hcategory=youtube-videos&utm_campaign=free-group How I built an AI agency from 0 to over $1 million per year: https://www.skool.com/ai-automation-society-plus/about?el=every-claude-concept-explained&hcategory=youtube-videos&utm_campaign=plus-group My Tools💻 FREE MONTH voice to text: https://get.glaido.com/nate Code NATEHERK for 10% off VPS (annual plan): https://www.hostinger.com/vps/claude-code-hosting In the last six weeks Anthropic shipped three new models, put docs, slides, and designs inside every chat, launched a new agent app called Duet, and dropped the 5-hour limit on the $200 plan, so people are calling it Claude 2.0. In this video I break down 25 Claude concepts in plain English across five parts: the models it runs on, where you use it, what it can make for you, what it knows about you, and how it works on its own. You'll learn tokens, effort levels, plans, Cowork, artifacts, memory, skills, connectors, mods, sub-agents, /goal, and more, and you don't need to code for any of it.
31 okt. youtube.com
30 oktober 2026
VideoMatt Wolfe
6 AI Updates Worth Knowing & A Bubble-Bursting IPO
Check out Warp Factories here: http://warp.dev/mreflow This week’s biggest AI news: OpenAI’s GPT-6.1 Terra brings faster computer use at a lower API cost, and Google’s Genie 4 brings real-time AI worlds to life. We’re also covering Gemini 4 Carbon, Kimi K3.1 Pro, and Anthropic’s IPO filing. Sharing the latest news and advancements in AI Discover More: 🛠️ Explore AI Tools & News: https://futuretools.io/ 📰 Weekly Newsletter: https://futuretools.io/newsletter Socials: ❌ Twiter/X: https://x.com/mreflow 🖼️ Instagram: https://instagram.com/mr.eflow 🧵 Threads: https://www.threads.net/@mr.eflow 🟦 LinkedIn: https://www.linkedin.com/in/matt-wolfe-30841712/ 👍 Facebook: https://www.facebook.com/mattrwolfe Resources From Today's Video: Anthropic S-1 Filing: https://www.anthropic.com/news/s1-sec Who makes what: https://x.com/andrewbenson/status/2115458726396310008 GPT-6.1 Terra Launch: https://openai.com/index/introducing-gpt-6-1-terra/ Gemini 4 Carbon Launch: https://blog.google/innovation-and-ai/models-and-research/gemini-models/introducing-gemini-4-carbon/ Kimi K3.1 Pro: https://x.com/Kimi_Moonshot/status/2113680701770068067 DeepMind Genie 4: https://deepmind.google/blog/genie-4-a-new-g…
30 okt. youtube.com
VideoMatt Wolfe
When a humanoid and a drone become besties
Sharing the latest news and advancements in AI Discover More: 🛠️ Explore AI Tools & News: https://futuretools.io/ 📰 Weekly Newsletter: https://futuretools.io/newsletter Socials: ❌ Twiter/X: https://x.com/mreflow 🖼️ Instagram: https://instagram.com/mr.eflow 🧵 Threads: https://www.threads.net/@mr.eflow 🟦 LinkedIn: https://www.linkedin.com/in/matt-wolfe-30841712/ 👍 Facebook: https://www.facebook.com/mattrwolfe Let’s work together! - Brand, sponsorship & business inquiries: business@mattwolfe.com #AINews #AITools #ArtificialIntelligence
30 okt. youtube.com
VideoNate Herk
Which AI tool do you use the most? Claude vs everything else
Claude vs everything else. I asked people at Oracle AI World which AI tool they use the most.
30 okt. youtube.com
VideoNate Herk
I Told Claude to "Make it better" 100 Times (It Went Too Far)
FREE Scrollcraft Website Design Skill: https://app.aiautomationsociety.ai/optin/scrollcraft/?utm_source=youtube&utm_medium=organic&utm_content=make-it-better&sl=yt_make-it-better How I built an AI agency from 0 to over $1 million per year: https://www.skool.com/ai-automation-society-plus/about?el=make-it-better&hcategory=youtube-videos&utm_campaign=plus-group My FREE resources: https://www.skool.com/ai-automation-society/about?el=make-it-better&hcategory=youtube-videos&utm_campaign=free-group My Tools💻 FREE MONTH voice to text: https://get.glaido.com/nate Code NATEHERK for 10% off VPS (annual plan): https://www.hostinger.com/vps/claude-code-hosting I gave Claude Code a horrible coffee shop website and told it to make it better 100 times in a row, once with Sonnet 5.5 and once with Opus 5.5. Sonnet made small, careful changes, while Opus kept adding features until the site hit 21,000 lines and started breaking itself. Neither model searched the web once, even though it could, and in this video I walk through every milestone and what it means for how you prompt AI.
30 okt. youtube.com
VideoAI Engineer
Catch the Bugs Your Code Review Misses - Killian Carlsen-Phelan & Taylor Luttrell-Williams, Sonar
In this hands-on session, Killian Carlsen-Phelan and Taylor Luttrell-Williams of Sonar set up Gitar, a code change verification agent, on a sample ticketing app and run three pull requests through it. Gitar catches a bug that isn't in the diff at all (a buyer can refund a ticket after giving it to a friend), enforces a business rule from a project config (show customers the all-in price), then diagnoses a failing CI test and keeps pushing fixes until the PR passes and auto-merges. They close with functional validation against Jira tickets, learned conventions, and cross-repo and cross-PR analysis. Chapters: 0:00 Intro 0:39 Setup: free trial and workshop repo 4:19 Who verifies agent-written code? 6:46 What Gitar does 10:30 Hands-on: fork the repo 12:43 The Box Office demo app 15:43 PR 1: A bug hiding outside the diff 20:08 One-click fixes 22:07 PR 2: Teaching it your business rules 26:36 PR 3: CI failure diagnosis and auto-merge 33:24 Advanced: cross-repo and cross-PR analysis 36:54 Q&A Killian Carlsen-Phelan Taylor Luttrell-Williams https://www.sonarsource.com Join us in SF for the second annual AIE CODE summit: https://aie.codes our last flagship summit of 2026.
30 okt. youtube.com
29 oktober 2026
VideoAI Engineer
Why Humans Can't Keep Up With AI-Written Code - Tariq Shaukat, Sonar
Agents have made code cheap: one study saw lines of code up 2,450% but releases up only 30%. Sonar CEO Tariq Shaukat draws on the factory revolution that Toyota and Lexus started to explain how to build agentic software factories you can trust. He breaks down five hard problems: human review that doesn't scale (people agree with AI that's wrong 4 out of 5 times), agents struggling with large codebases, errors compounding over long tasks, unreliable LLM judges, and near-zero time to exploit. Then he lays out Sonar's code confidence formula: intent, guide rails, verification and evidence.
29 okt. youtube.com
VideoMatt Wolfe
3 Critical Tasks AI Can Automate For You
Here are 3 things EVERY business owner should automate with AI: 1️⃣ Checking failed email deliveries. 2️⃣ Sending appointment reminders 3️⃣ Getting new customers set up All of these small tasks add up, so don't waste your time doing them manually. Bird lets you build workflows where AI agents handle more of that repetitive work, while you decide what still needs your review. If you’re figuring out where to start with AI in your business, start with the stuff you’re tired of doing yourself every day. And to check out Bird, head to bird.com or the link in the pinned comment. #BirdPartner #customerservice #aitools
29 okt. youtube.com
VideoAll About AI
Can AI Predict the US Midterms?
Can AI Predict the US Midterms? Get early access: https://www.siktintelligence.com/ US Midterms Senate Elections: https://www.siktintelligence.com/midterms/senate-control 🐦⬛ Tomorrow’s headlines, before they happen. Sikt Intelligence is building an AI superforecaster: it reads the world’s news, weighs the evidence and puts an honest probability on the biggest events, right next to what the prediction markets say. When the two disagree, that’s your signal. Built in Oslo, Norway · Not financial advice. Business Contact: kbfseo@gmail.com 00:00 AI Midterm Predictions: Sikt vs the Markets 02:07 Forecasting the Stock Market Reaction to the Election 03:12 Texas Senate: Talarico vs Paxton 03:58 Alaska Senate: Why Sikt Disagrees with the Market 05:45 My Election Positions: Gains, Losses & Long Shots 06:55 S&P 500 Forecast if Democrats Win the Senate 08:00 S&P 500 Forecast if Republicans Win the Senate 09:03 Sikt Early Access & Tracking the Next Forecast
29 okt. youtube.com
VideoAI Engineer
How Revolut Cut AI Coding Costs 90% With Self-Hosted Open Models - David Abitbol, Revolut
David Abitbol, who leads AI operations at Revolut, shares data from 2,000 engineers on what AI tools did to coding time and lead time, and why self-hosting open-source GLM models made the biggest difference: about 60-70% faster delivery at roughly a tenth of what they were paying frontier labs. He covers the GPUs needed, the latency targets that keep engineers happy, the tuning that made the same hardware 88% faster, and how an EU-regulated bank keeps it compliant. Chapters: 0:00 Intro 0:36 Who Revolut is 1:18 What AI did to 2,000 engineers' lead time 2:45 Why they started self-hosting 3:33 Coding isn't the bottleneck 4:24 What it takes to self-host GLM 5:46 Tuning: same GPUs, 88% faster 7:06 The parameters that matter 8:14 Production setup 9:23 For the CIO: compliance and safety David Abitbol https://www.revolut.com Join us in SF for the second annual AIE CODE summit: https://aie.codes our last flagship summit of 2026. Applications live now!
29 okt. youtube.com
VideoAI Engineer
We Trust AI Agents That Break Every Day - Shy Ruparel, Temporal
Temporal's State of Development survey found that 80.8% of engineers use agents daily, but only 49.1% run them in production. Developer advocate Shy Ruparel walks through the four gaps behind that number (usage vs. production, trust vs. reality, prototype vs. enterprise, seeing vs. recovering), then demos a $2,500 payout workflow with a local model that survives having its workers killed mid-flight, without losing state, repeating tool calls or re-spending tokens. Chapters: 0:00 Intro 0:34 Finance runs on long-running workflows 2:05 The State of Development survey 3:16 Gap 1: Usage vs. production 4:33 Gap 2: Trust vs. reality 7:18 Gap 3: Prototype vs. enterprise 8:55 Gap 4: Seeing vs. recovering 10:53 Demo: a payout that survives a crash 13:06 Durable execution explained 18:12 What the demo solved 20:10 Who runs this in production 20:50 Wrap-up Shy Ruparel https://temporal.io Join us in SF for the second annual AIE CODE summit: https://aie.codes our last flagship summit of 2026. Applications live now!
29 okt. youtube.com
VideoAI Engineer
Why a One-Line Change Can Break Your Whole Stack - Cole Gannaway, Qodo
Code generation is moving faster than ever, and the bottleneck has moved to review. Cole Gannaway, a solutions engineer at Qodo, shows how a one-line data model change that passes every test can quietly break web, mobile, CLI and MCP clients, and how a software graph of your repos reveals that blast radius. He covers turning tribal knowledge and PR comments into custom rules, bringing review context in before code is written, why the agent that wrote the code shouldn't grade it, and checking PRs against the original ticket. Chapters: 0:00 Intro 0:59 Review is the new bottleneck 2:03 A one-line change that passes every check 3:35 The hidden blast radius 4:15 Building a software graph 4:56 Custom rules and tribal knowledge 5:47 Context before code is written 6:29 Don't let the writer grade its own code 8:20 Turning PR comments into rules 10:06 Q&A: catching the wrong intent 13:55 Wrap-up Cole Gannaway https://www.qodo.ai Join us in SF for the second annual AIE CODE summit: https://aie.codes our last flagship summit of 2026. Applications live now!
29 okt. youtube.com
VideoAI Engineer
How Anthropic Merges 30,000 Code Changes a Day - Manish Kapur, Sonar & Addy Osmani, Anthropic
Coding agents are opening PRs faster than anyone can review them. Manish Kapur (Sonar) and Addy Osmani (Anthropic) discuss "light" vs. "dark" software factories, how Anthropic scaled from about 2,500 to 30,000 merged changes a day with Claude doing first-pass review backed by real verification evidence, new data from Sonar's State of Code survey, and why every loop in the factory needs independent, multi-layered verification. They close with a lightning round on labeling agent-written PRs and when it's safe to merge. Chapters: 0:00 Intro 1:57 Throughput is up, merges are failing 2:49 Light vs. dark software factories 3:51 Coding is solved, confidence isn't 5:38 How Anthropic reviews 30,000 changes a day 8:29 State of Code survey findings 9:20 Where the next gains come from 11:38 Multi-layered verification 13:19 Controls, permissions and sandboxes 14:41 Lightning round 17:40 Takeaways Manish Kapur https://www.sonarsource.com Addy Osmani https://x.com/addyosmani https://www.anthropic.com Join us in SF for the second annual AIE CODE summit: https://aie.codes our last flagship summit of 2026. Applications live now!
29 okt. youtube.com
28 oktober 2026
VideoMatt Wolfe
His AI Made 20 Reels Before Breakfast
What if you could automate your video editing, get a panel of AI experts to debate your ideas, and run your social media almost entirely on autopilot? I sat down with Nate Herk to explore three of his favorite AI workflows that he actually uses every day. He walks me through how he's using Claude Code to automatically edit videos, an AI expert panel called The Roast Room to make better decisions, and an AI social media manager that researches, creates, and publishes Instagram content. We dive into how he built these workflows, the tools and AI skills behind them, and how you can set them up yourself. Nate also shares how he's using AI to replicate his editing style, automate content creation, and build systems that keep improving over time. Sharing the latest news and advancements in AI Discover More: 🛠️ Explore AI Tools & News: https://futuretools.io/ 📰 Weekly Newsletter: https://futuretools.io/newsletter Socials: ❌ Twiter/X: https://x.com/mreflow 🖼️ Instagram: https://instagram.com/mr.eflow 🧵 Threads: https://www.threads.net/@mr.eflow 🟦 LinkedIn: https://www.linkedin.com/in/matt-wolfe-30841712/ 👍 Facebook: https://www.facebook.com/mattrwolfe Let’s work together!
28 okt. youtube.com
VideoAI Engineer
AI That Hunts Logic Bugs Before Attackers Do - Taylor Luttrell-Williams, Sonar
Pattern-based SAST catches bad code, but not valid code with flawed intent: broken access control, business logic gaps and authentication holes. Taylor Luttrell-Williams of Sonar introduces the SonarQube Hunter Agent, which maps a repo, runs three specialist agents and adversarially validates every finding, and announces Sonar joining the OpenAI Daybreak cyber partner program. The live demo turns up 46 issues in a Python app, including a user who can make themselves admin and an MFA bypass. Chapters: 0:00 Intro 0:46 Why SAST misses intent bugs 2:37 How Hunter Agent works 4:12 Sonar joins OpenAI Daybreak 5:44 Layering SAST and Hunter Agent 6:27 Demo: running a scan 8:29 46 findings across three classes 10:01 Inside a broken access control bug 12:26 Scheduled scans 13:12 Automatic remediation Taylor Luttrell-Williams https://www.sonarsource.com Join us in SF for the second annual AIE CODE summit: https://aie.codes our last flagship summit of 2026. Applications live now!
28 okt. youtube.com