Creators...
Looking for the best gear equipment for twitter spaces or podcasts or live streaming video creation...
Here is my Amazon storefront with things broken down to what makes the most sense for your creation!
https://t.co/ekKQFmS4gx
Reply with any questions you have!
After a decade-plus of keynotes and advising big brands, I'm looking for a full-time, in-house role.
Think enablement, comms, brand strategy, or AI training.
Basically the person who helps teams actually get excited about and use new tech.
If you know anyone hiring (or know someone who knows someone 😂), I'd be super grateful for an intro. And a share goes a long way too.
The interview with @thsottiaux from OpenAI 🔥
0:00 Everything OpenAI launched at DevDay
2:44 Sponsors: Wispr Flow, Hostinger, OpenArt
4:11 What is ChatGPT Dots?
7:52 Will ChatGPT Dots be free?
10:15 GPT-6.1 Sol vs GPT-6 Astra
11:44 Is AI now building AI?
12:53 Ultra Fast: when does everyone get it?
14:00 How OpenAI rebuilt the ChatGPT desktop app in 30 days
19:08 Why everything will run in the cloud
20:55 Calling your Dots on the phone
22:11 The new Turing test
24:05 OpenAI's mission and AI safety
26:14 Why OpenAI still works like a startup
27:29 The truth about ChatGPT usage resets
29:00 The $500 ChatGPT plan
30:17 Sponsors in action
32:23 Why AI agents still fail
33:52 OpenAI's AI is now on call
34:26 OpenAI's internal benchmarks
35:55 Open source Codex and the open ecosystem
38:42 ChatGPT Space explained
39:45 Is the chat box holding AI back?
42:26 Every DevDay update, full workshop
43:28 How people really use ChatGPT Work and Codex
44:01 When is the next OpenAI model coming?
45:05 What AI has to solve next
45:32 Is your job safe from AI?
48:14 Rapid fire
48:54 Has OpenAI already reached AGI?
50:48 The one thing he'll never let AI do
51:22 His morning AI routine
52:15 What he'd build if not AI
Watch the full podcast on YouTube or X.
Enjoy!
After a decade-plus of keynotes and advising big brands, I'm looking for a full-time, in-house role.
Think enablement, comms, brand strategy, or AI training.
Basically the person who helps teams actually get excited about and use new tech.
If you know anyone hiring (or know someone who knows someone 😂), I'd be super grateful for an intro. And a share goes a long way too.
Are you looking for a role at an early-stage startup???
Our portfolio companies have 336 open roles right now.
A few that caught my eye:
- Head of Capital Markets at @general_compute
- EVP, Communications at @_panthalassa
- Technical Recruiter at @reflectorbital
- Electrical Engineer at @ExowattEnergy
- Brand Design Lead at @_panthalassa
- Senior Associate, Strategy at @_panthalassa
- AI Platform Architect at @AaloAtomics
- Ground Software Engineer at @ExowattEnergy
I get asked all the time: "Who in your portfolio is hiring?"
And until now, I never had a great answer. Usually I’d send someone a list of companies or links to 10 different career pages.
So I used @Lovable to build something I’ve wanted for months: one centralized careers page for the Two Roads Capital portfolio.
It automatically pulls open roles across our companies into one place, filterable by company, function, location, and work type (and syncs automatically every 15 minutes as new roles go live).
If you're looking for your next role, link is in the comments.
Tag someone looking for their next startup role 👇
The weirdest part of the job market in 2026:
Everyone tells you to stand out.
Then the application process asks you to fit in.
Match the keywords.
Optimize for ATS.
Use the right title.
Follow the format.
But also…
Be different.
Show personality.
Tell your unique story.
😂 Make it make sense.
For those currently looking, recently hired, or doing the hiring:
What’s one thing about the job search process you think is completely broken?
@boardyai Its cooked...
Everyone tells you to stand out.
Then the application process asks you to fit in.
Match the keywords.
Optimize for ATS.
Use the right title.
Follow the format.
But also…
Be different.
Show personality.
Tell your unique story.
😂 Make it make sense.
Ok you got my attention..
“Pocket FM is the largest audio series platform in the world, over 200 million listeners, $500M ARR.”
Excited to see Ai innovation like this.
Introducing Sherpa: the most advanced fiction writing AI
We accelerated from $250M in ARR to $500M because Sherpa helped increase content production by 1200% in 1 year
Sherpa was trained on 5.5B hours of playtime with minute by minute dynamic retention data.
550K+ creators have produced 2.6M hours of content annualised using it
Pocket FM is like Netflix for audio-only dramas, with our own pool of one-person studios.
10% of eligible writers on Pocket FM make >$200K
One blockbuster produced >$100M in revenue
3 writers have become millionaires in <2 yrs
We built Sherpa to enable anyone to make >$1M by writing world-class fiction stories:
1. The Idea: Drop a 1-2 sentence concept. Sherpa interrogates it like a veteran editor on tension, stakes, and psychology
2. World & Characters: It builds out the complete lore, tone, and character psychologies
3. Sub-Plot planning: Breaks the premise into arcs, arcs into episodes, and episodes into scenes
4. Scene-by-Scene Generation: Outlines and drafts entire episodes, with you able to steer, rewrite, or override anytime
5. Editorial Review: Stress-tests every draft for pacing, engagement drop-offs, prose, and coherence before it locks
6. One-Tap Production: Pick a voice, convert to audio drama, and publish directly to Pocket FM’s millions of listeners
7. Global Scale & Monetization: Revenue-share on performance, with automatic localization so you earn across international markets
Test Sherpa for free here: https://t.co/R39M5o0Miz
_____________________________________________
Generic LLMs fail at serialized fiction because they lack a long-horizon narrative reward function.
Sherpa solves this through three core technical leaps:
1. Narrative World Model (State Tracking & Retrieval): Context windows degrade over long runs. Sherpa constructs an evolving semantic knowledge graph tracking character states, secrets, and plot dependencies. High-speed retrieval surfaces exact context on demand, maintaining zero continuity decay across hundreds of episodes
2. Hierarchical Story Planner: When writing a 500-episode story like Naruto, you need to plan 100s of sub plots. Rather than generating linearly, Sherpa decomposes narrative across discrete levels: season -> arc -> sequence -> episode -> scene.
Rather than generating everything upfront, like a generic LLM, Sherpa uses progressive planning and dynamic replanning. As the story evolves, it identifies what changed, traces the downstream impact, and replans only the affected parts.
3. Prose Engine (Trained on series' retention data): LLMs write robotically, but serial fiction needs emotion, tension, pacing, and dialogue that sounds like real people.
Sherpa's Prose Engine was designed specifically for storytelling. It was built on 1B+ tokens of Pocket's own stories, trained by learning from what listeners engage with, where they drop off, and what keeps them hooked.
Feedback is taken from specialized evaluator models that measure every scene against a 40-item checklist. (Evaluator models were benchmarked against human reviewers and matched them 80–90% of the time.)
_______________________________________________
Owning distribution and creation puts us in a very unique spot.
More shows -> More data -> Sherpa becomes better -> more creator success -> more creators -> more shows
Pocket FM has already seen one $100M IP. I believe Sherpa will soon lead to dozens of single-person studios creating billion-dollar shows.
Most people are scared of AI but I think it'll unlock more human creativity, help creators earn more, and bring the next great IPs to life. This will create millions of jobs and new income streams.
@michaelgrowth That was my take before. But the seamless side and passport format seems like the gap I always had with taking my current iPad mini with me.