I was scrolling through X today when one of my X friends shared screenshots of two employees who recently moved from Anthropic to OpenAI.
We had an era when people were leaving OpenAI for Anthropic in large numbers, Sam Altman was becoming the second most-hated Mark Zuckerberg, and Anthropic was attracting talent from OpenAI.
An automatic video recap can start with a game, interview, documentary, vlog, or film. The detail that carries the story changes with the source. In a sports recap it might be a defensive move that opens a pass; in an interview it might be the qualification that makes a quote accurate.
Take an hour of footage and a three-minute target for a first-time viewer. My first requirement would be to list the moments that change what happens next, then point the editor to the visual or spoken evidence for each. In the fictional film example in the diagram, a shot of the mark on a key explains why the detective chooses that door.
I would ask the automatic editor for a first version with editable shots, narration and captions. Then I d ask a reviewer why the next action happened. If their answer depends on seeing the original, restore the missing evidence or adjust its timing.
For makers who ship video tools, which input would you ask editors to supply first: must-keep story beats, source timestamps, or a short note explaining the audience? What would you leave for review after the first edit?
Tons of great products that we know and use everyday are the result of pivots. You know, sometimes the original idea just isn't working and you have to find a new niche and quick, other times you stumble on a use case that changes the whole game.
Have you ever pivoted? What's the story behind it? How successful was the pivot? I'd love to hear your stories, and potentially feature them in our newsletters!
https://futureoflife.org/open-le... Top artificial intelligence researchers, the co-founder of Apple, and Elon Musk are among signatories of an open letter calling for companies to stop training powerful AIs. They argue that advanced AI could represent a profound change in the history of life on Earth, and companies should not be racing to unleash it. The letter calls for a six-month pause, providing time to decide whether developing things that might outnumber, outsmart, obsolete and replace us is a good idea. Meanwhile, a Goldman Sachs report suggested that generative AIs like GPT-4, the most advanced platform so far debuted, could automate away the equivalent of 300 million jobs, especially in legal and administrative work.
We ve worked in two other eco-systems (India & France), and each has clear strengths and trade-offs in terms of talent density, cost of building, access to capital, speed of decision-making, and openness to risk all vary a lot.
Curious to hear from founders and operators who ve built outside the US:
Which ecosystem punches the most above its weight today?
Where do you see the best balance between talent, capital, and customer access?
Are there cities/countries that are especially strong for specific stages (0 1 vs scaling) or specific verticals (AI, fintech, climate, SaaS, deep tech)?
Some tech leaders have called for a pause on the development of advanced AI systems like GPT-4.5 and GPT-5.
What do you think? Sources:
- https://twitter.com/GaryMarcus/s...
- https://www.bloomberg.com/news/a...
There are tons of stories about founders launching SaaS products without an existing audience. No Twitter following, no newsletter, no community, nothing. Yet some still manage to get early traction and even hit real MRR.
If you have started from zero, I would love to hear:
How you got your first users
What channels brought the earliest traction
Whether cold outreach works or not
If content played a role or if you focused mainly on building
What you would do differently if you had to start again