
Host of The Rundown podcast (@Public). I make videos about money and stuff
Houston, TX
Joined August 2017
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I really like @Muse but starting to run into daily issues now:
- its grabbing old / incorrect weather data
- not running my scheduled task consistently
- making constant mistakes
Muse has massive potential but I think it needs a smarter model and ironing out the bugs
"the Nasdaq will drop 12% the next day if that happens"
.@kevinroose says the Trump admin will have no choice but to step in and slow down AI:
"I do think that we're going to have some kind of unprecedented government intervention... there will be this kind of a soft nationalization of one of the AI companies, or maybe 2 or 3 of them."
"These people who exist in this fantasy where the models are never going to improve and they're never going to pose any risks, & it's all upside, I think that fantasy is going to die in the next 12 months."
ChatGPT Voice the most underrated feature in AI
We heard you loud and clear. ChatGPT Voice can now:
- Use plugins like your email, calendar, and Slack.
- Be powered by GPT-6 Astra, Sol, and Luna.
- Be used in ChatGPT Work on web and mobile, so you can create docs, decks, sites, and spreadsheets or tackle complex tasks in the browser, just by talking.
Rolling out globally today in the latest version of the app.
Big fan of @Jack_Raines !
Was reading his book (performatively, of course) while eating a free breakfast buffet at a hotel in Manhattan and was approached multiple times. Highly recommended
iykyk
A LinkedIn shitpost got @Jack_Raines a book deal with Penguin Random House.
Turns out posting can pay off.
Zaid Admani retweeted
Rate hikes have arrived in the U.S. and more are coming!
@AdmaniExplains does such a good job with this skit! 😁
“We didn't call for everyone else to do this before we would. We just did it as part of our day-to-day work”
Last month I wrote about how we can build a positive and safe future for everyone: meta.com/thefutureisforevery…
Every lab has the responsibility and incentive to move at the pace required to train its models safely, and the ability to take its own actions to ensure that happens.
The reality is:
- People won't want to use agents that are misaligned with them and that don't do what they ask, so labs have a strong natural incentive to make their models more aligned.
There is a lot of debate about slowing progress on capabilities until alignment catches up. My view is that trust and alignment are quickly becoming the most important capabilities that will differentiate agents and models. Any lab that doesn't focus on alignment will fall behind.
- Labs face significant liability if their models cause harm, so they have a strong incentive to prevent this as well.
Meta delayed shipping Muse for several months to focus on safety and security. We didn't call for everyone else to do this before we would. We just did it as part of our day-to-day work because it was clearly the right thing for people and for us. I'm proud of the security foundations we've built.
- Engaging independent evaluators and advisors is industry best practice. MSL already does this today in several areas because it helps produce better work. Other labs can just do this too. In general, it would be helpful for there to be a larger and more diverse ecosystem of evaluators.
- Committing the significant majority of compute towards serving people rather than racing towards recursive self-improvement is one of the best ways to ensure we develop this technology safely. Meta has made this commitment and other labs can do this as well.
I believe the key to building a positive future for everyone is maintaining the right balance of power. This is within our power to do.
Apple needs to set up a Vision Pro camera at the baseline
I would buy a Vision Pro just to watch tennis
buying the LA Angels right before a salary cap goes in effect is pretty genius
Zaid Admani retweeted
Enjoyed diving into $CRWV with @admaniexplains on @rundowndaily_. We covered a lot of ground but the key takeaways:
-enterprises building real AI applications need more than GPUs
-they need a full AI cloud platform: CPUs, memory, storage, high-performance networking, an incredibly robust management suite that enables GPU uptime
-all built to run training and inference on the same infrastructure
That’s what I believe we do better than anyone else, and it’s what true enterprise AI adoption requires. This and more in my chat with Zaid.
youtu.be/eoGzrS9cj6E?si=ln90…













