Get the FREE Learn AI guide: https://aiwithkyle.com/learnai

Build your AI skills with the AI Confidence Accelerator: https://aiwithkyle.com/confidence

If I was starting to learn AI today, this is the path I would take. We work through three stages: chat, delegate and build.

I cover better conversations with AI, RISEN, Projects, voice and files, delegating real work with 4S, Skills and connections, and building your first small app. You will also see how I organise new AI information so I can actually use it.

00:00 How to learn AI

01:18 Learn by doing

02:51 Chat, delegate, build

04:25 Chat: the practical checklist

10:40 Communicate with RISEN

14:45 Chat: concepts to understand

20:07 AI Confidence Accelerator

20:54 Delegate: the practical checklist

28:17 Delegate with 4S

31:23 Agents, skills and connections

35:37 Build: the practical checklist

40:42 My tech stack

43:48 Build: concepts to understand

47:00 How to keep up with AI

49:16 Give new information a home

52:07 Inside AI Confidence Accelerator

54:32 Get the free guide

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OpenAI has published the first results from its Jalapeño inference chip. Nvidia reportedly wants to buy Hugging Face for $12.9 billion. Both companies are trying to depend less on the other.

This week's AI news also covers three ChatGPT updates that make agentic AI much easier to use, plus Microduck: a $399 open-source robot that can walk, carry things and recover after a fall.

*RESOURCES*

ChatGPT Work mini guide: https://aiwithkyle.com/mini/chatgpt-work

My ChatGPT Work walkthrough: https://youtu.be/KLS6i7Sre8o

*CHAPTERS*

0:00 OpenAI and Nvidia

0:39 OpenAI's Jalapeño chip

4:29 Nvidia, Hugging Face and local AI

10:24 Three ChatGPT updates

14:18 The $399 robot duck

*KEY POINTS*

• OpenAI says its first Jalapeño results beat Nvidia's GB300 on several inference measures.

• Jalapeño handles inference. OpenAI still uses Nvidia and other suppliers, especially for training.

• Nvidia's reported $12.9 billion Hugging Face deal remains unconfirmed.

• ChatGPT Work can sign into websites and react to changes in Gmail, Slack and GitHub.

• Microduck is a $399 open-source robot that can learn new movements in a simulator.

*SOURCES AND TOOLS MENTIONED*

OpenAI's Jalapeño results: https://openai.com/index/jalapeno-first-results/

The reported Nvidia-Hugging Face deal: https://www.theinformation.com/articles/nvidia-agrees-buy-open-source-model-repository-hugging-face-12-9-billion

ChatGPT Work browser update: https://x.com/ChatGPT/status/2092366556584153249

ChatGPT Work task update: https://x.com/ChatGPT/status/2092335329110004140

Microduck: https://pollen-robotics.com/microduck/blog/introducing-microduck/

*LISTEN TO AI WITH KYLE*

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#AINews #OpenAI #Nvidia

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Fable 5.1 is here. Anthropic says it is its strongest model for coding and knowledge work, and the early benchmarks are huge. Most people will still use it to rewrite an email. I look at what changed, where the gains show up and how much the extra thinking costs.

Give it a bigger job. I show you how to move from asking for an artefact to asking for an outcome, build a useful context pack, set safety boundaries and use Fable like an AI agent across a multi-step project.

Chapters:

00:00 Fable 5.1 is live

01:27 Fable 5.1 benchmarks

03:11 Intelligence, price and the independent results

04:10 Three ways to cut the cost

06:10 The capability overhang

08:38 Move from outputs to outcomes

11:06 Hand it the whole problem

12:50 Four jobs worth giving Fable

16:02 Make it finish the whole task

16:31 How big AI jobs actually run

18:44 One person can borrow a team

20:42 Give Fable one big job

Useful resources:

Anthropic Fable 5.1 benchmarks: https://www.anthropic.com/claude/fable#benchmarks

Artificial Analysis review: https://artificialanalysis.ai/articles/claude-fable-5-1

Fable 5.1 prompting guide: https://platform.claude.com/docs/en/build-with-claude/prompt-engineering/prompting-claude-fable-5-1

OpenAI on the capability overhang: https://openai.com/index/how-countries-can-end-the-capability-overhang/

OpenAI on AI across occupations: https://openai.com/index/how-ai-is-expanding-what-people-do-at-work/

Find everything else at https://aiwithkyle.com/

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===

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GPT-6 Astra launched overnight with one of the wildest benchmark tables I've seen. Its 99.9% ARC-AGI-3 score has people claiming AGI is here. The test measures whether an agent can explore an unfamiliar world, learn its rules and act efficiently. Astra's biggest practical jump is computer use.

ARC Prize's standard harness gave Astra 62.7%. OpenAI's Provider Adapter produced the 99.9% result by preserving reasoning state and compacting long conversations. The video also covers a week-long Manhattan build in Unreal Engine, Apple Park in Blender and an interactive Library of Alexandria.

I also cover the messy rollout, who gets access first and the banked Codex resets OpenAI is giving paid ChatGPT users while they wait. If Astra is in your account, give it a large computer-use or coding job. An email rewrite will tell you almost nothing about this model.

Chapters:

0:00 GPT-6 Astra launches

0:43 What OpenAI actually changed

1:32 Is Astra AGI?

2:25 The 99.9% ARC-AGI-3 result

3:14 What ARC-AGI-3 actually tests

9:19 Why the AGI label remains unsettled

9:39 Independent benchmark checks

11:08 Astra's practical computer-use jump

11:38 Manhattan, Apple Park and Alexandria

15:27 Who gets access and when

16:47 My verdict on GPT-6 Astra

17:59 Final summary

Useful resources:

OpenAI's GPT-6 Astra launch page: https://openai.com/index/gpt-6-astra/

OpenAI API model page: https://developers.openai.com/api/docs/models/gpt-6-astra

OpenAI system card: https://deploymentsafety.openai.com/gpt-6-astra

ARC Prize results and harness comparison: https://arcprize.org/results/openai-gpt-6-astra

Sam Altman on the rollout: https://x.com/sama/status/2095678759651438887

Artificial Analysis on coding efficiency: https://x.com/ArtificialAnlys/status/2095595494081024077

Ethan Mollick's interactive Alexandria example: https://x.com/emollick/status/2095601539066777748

Matt Shumer's Manhattan in Unreal Engine: https://x.com/mattshumer_/status/2095609734845927525

Find everything else at https://aiwithkyle.com/

Get the free GPT-6 Astra playbook and all six prompts: https://aiwithkyle.com/astrajobs

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Summary:

You've just got access to GPT-6 Astra in ChatGPT. Now what? The 3D worlds, video games and ridiculous renders are very cool. But unless you're trying to make GTA 6, what do you actually do with it? I've put together four practical briefs for your health and fitness, business, money and life plan. These are projects you can give ChatGPT Astra using your own files, calendar and goals.

I start with a voice conversation to work out what you actually want to tackle. Then I show you how to brief Astra like a capable outside team, with enough context, checkpoints and a clear definition of done. The examples cover a personalised fitness app, a plan to grow owner profit without adding hours, a household finance model and three possible futures for your life. I also cover Ethan Mollick's five-day personal wiki project and the permissions I'd set before letting AI agents get to work. Pick one big job, gather the files and get it moving. Check the outputs and keep consequential decisions under your control. Get qualified advice for medical or financial decisions.

—— Time Stamps ——

0:00 You've Got Astra. Now What?

1:19 Four Projects for Your Life

2:32 Start With a Voice Conversation

4:09 Be, Do, Have

5:02 Find a Project Worth Doing

6:39 Brief Astra Like an Outside Team

8:25 Ethan Mollick's Five-Day Wiki

9:22 Build Your Health and Fitness System

11:17 Grow Your Business Without Adding Hours

13:30 Organise Your Money

15:19 Build Your Life Plan

18:43 Set the Permission Boundaries

20:37 Pick One Big Job

— Useful Resources ——

Ethan Mollick on briefing AI like an outside team: https://x.com/emollick/status/2095645030941630763

Ethan Mollick's personal wiki project: https://x.com/emollick/status/2095606622055760159

Matt Shumer's Manhattan render: https://x.com/mattshumer_/status/2095609734845927525

OpenAI's guide to long-running work: https://learn.chatgpt.com/docs/long-running-work

Find everything else at https://aiwithkyle.com/

*LISTEN TO AI WITH KYLE*

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*CONNECT WITH KYLE*

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You can start your AI second brain with a plain folder and a conversation. I explain how to use GPT-6 Astra in Codex to set it up, interview you and organise what you tell it into useful context about your work.

We go through what you want to be, do and have, how to talk through your ideas, and how ChatGPT/Codex and Claude Code can work from the same saved notes. You give each tool access to the same folder and ask it to read and update that context. Each app still has its own chat history and permissions.

I also show my Obsidian brain and explain the optional additions: connected apps, scheduled maintenance, computer use and access from your phone. Start with the computer you already have and add things as you need them.

Chapters:

00:00 Start your AI second brain

01:40 What an AI second brain actually is

03:05 It starts with a folder

04:26 Ask AI to build the setup

05:31 The starter prompt

06:57 Let AI interview you

07:42 What you want to be, do and have

08:58 Talk to your brain

10:02 Add useful documents

10:43 Obsidian is optional

13:01 Use the same brain with different AI tools

14:29 Choose a model for the job

16:06 Shared notes and nightly maintenance

17:20 Connect your everyday apps

19:49 Give AI computer access

22:28 Teach AI a workflow by showing it

24:18 An always-on computer

27:13 Use your brain from your phone

28:33 The whole system explained

30:09 Start small and get the free guide

Useful resources:

OpenAI Codex: https://chatgpt.com/codex/

Claude Code: https://claude.com/product/claude-code

Obsidian: https://obsidian.md/

Get the written guides and newsletter at https://aiwithkyle.com/

Listen to AI with Kyle:

Spotify: https://open.spotify.com/show/6pnwfIJvxfC8jlX891XBiE

Apple Podcasts: https://podcasts.apple.com/us/podcast/ai-with-kyle-daily-ai-news-and-updates/id1825779580

Connect with Kyle:

Website: https://aiwithkyle.com

TikTok: https://www.tiktok.com/@iamkylebalmer

Instagram: https://www.instagram.com/iamkylebalmer

LinkedIn: https://www.linkedin.com/in/kylebalmer/

Get the free AI Writing bundle: writing guide, checklist, prompts and reusable skill: https://aiwithkyle.com/mini/goblins

Join my private WhatsApp group: https://aiwithkyle.com/ai-with-kyle-group-chat

Build your AI second brain with GPT-6 Astra: https://www.youtube.com/watch?v=Fc5PcxMPigk

Free AI Brain setup guide: https://aiwithkyle.com/mini/ai-brain

Build your personalised AI income plan with Freedom OS: https://aiwithkyle.com/join-freedom-os

Free weekly webinar: https://aiwithkyle.com/webinar

Media/Sponsorship Inquiries: https://aiwithkyle.com/media-kit

Free 5-Day AI Challenge: https://aiwithkyle.com/join

ChatGPT can learn your writing style from connected apps. I show you where to find the setting and how to choose the sources it uses, then walk through five more ways to make AI writing sound closer to you.

We cover your finished writing, voice notes and transcripts, a portable voice guide, my AI Tells editing checklist, and feeding your published edits back into your AI. I also show my own voice guides and explain how this setup fits into an AI brain you can use with ChatGPT, Codex and Claude.

Keep the examples you like, read the draft before you publish it, and show your AI the changes you made.

Chapters:

00:00 Make ChatGPT sound like you

00:31 Six methods for your own voice

00:49 ChatGPT writing style

01:32 Why so much AI writing sounds the same

05:00 Where to find the writing-style setting

07:08 Your finished writing

09:11 Voice notes and transcripts

11:24 Build a voice guide

13:03 My own voice guide examples

17:10 The AI Tells checklist

19:45 Let AI learn from your final edits

23:01 The six methods together

24:27 Keep it all in your AI brain

26:20 Free resources and next steps

Resources:

AI Tells skill: https://github.com/kdgbalmer/ai-tells

OpenAI's writing-style announcement: https://x.com/ChatGPT/status/2097018264048251309

Wikipedia's Signs of AI Writing: https://en.wikipedia.org/wiki/Wikipedia:Signs_of_AI_writing

Newsletter: https://aiwithkyle.com/

Listen to AI with Kyle:

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Connect with Kyle:

Website: https://aiwithkyle.com

TikTok: https://www.tiktok.com/@iamkylebalmer

Instagram: https://www.instagram.com/iamkylebalmer

LinkedIn: https://www.linkedin.com/in/kylebalmer/

Want to build with AI but have no idea where to start? https://aiwithkyle.com/join-freedom-os

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Subscribe and turn on notifications to catch the next live stream:

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Jacob Coxon resigned from Anthropic and accused the leading AI labs of gambling with our lives. Then came the interviews, the donor connections people started digging into, and accusations that the whole thing was a "psyop".

I go through Coxon's original warning and the responses from Beff Jezos, Parker Thayer, Elon Musk and Bernie Sanders. We also look at recursive self-improvement, what Anthropic's own researchers have said, and who would get to define and enforce a superintelligence ban.

Recorded 11 September 2026.

*CHAPTERS*

00:00 The resignation and the accusations

01:59 What Coxon actually said

05:50 Who is Jacob Coxon?

07:43 Why people think it was organised

14:22 The interviews

17:46 The pushback

24:04 What recursive self-improvement means

25:51 What Anthropic's researchers are saying

27:52 Where the proposed solutions overlap

29:57 Who benefits from slowing down?

34:33 The commercial angle

36:57 More than one thing can be true

*SOURCES AND RESOURCES*

Jacob Coxon's original post:

https://x.com/hilbertspaess/status/2097476196791709843

Parker Thayer:

https://x.com/ParkerThayer/status/2097759699626328575

Beff Jezos:

https://x.com/beffjezos/status/2097818903321993315

Elon Musk on the post's reach:

https://x.com/elonmusk/status/2097908044344746406

Bernie Sanders:

https://x.com/SenSanders/status/2098078825909219721

Evan Hubinger:

https://x.com/EvanHub/status/2097497037956891126

https://x.com/EvanHub/status/2097528891846074828

Anthropic on alignment and security:

https://www.anthropic.com/news/improving-alignment-security-efforts

Sanders and Casar's proposed legislation:

https://www.sanders.senate.gov/press-releases/news-sanders-casar-introduce-legislation-to-ban-artificial-superintelligence-and-temporarily-pause-advanced-ai-development/

Anthropic's policy proposals:

https://www.anthropic.com/news/2028-ai-leadership

*LISTEN TO AI WITH KYLE*

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