NVIDIA-backed Reflection is preparing to release a new open-weight AI model expected to compete with top Chinese 🇨🇳 models.
Note: Reflection has signed major compute deals recently with Nebius and SpaceX.
@AdvisorJobs Not sure which perspective you are coming at this from. But 💯 disagree on all business related items. The value of the Fiduciary & Independence features of the RIA model cannot be matched - for the client. If it’s better for the client it’s better for the Advisor !
Jackal is headed to GEO!
@DIU_x has selected @The_TrueAnomaly for GHOST-R, a defense mission designed to improve reconnaissance capabilities in GEO
GEO is home to strategic comms & intelligence assets, and is becoming an increasingly contested space
https://t.co/pOEblBCNue
It would be really cool if I could schedule a service appointment for my cyber truck for my model Y simply by talking to Grok in the car but today I tried that and I couldn’t do that @elonmusk@Tesla
Last month I wrote about how we can build a positive and safe future for everyone: https://t.co/eoLGVY8yad
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.