No one changes the world alone Introducing Ampersand - the first model built for us. Ampersand is a collaborator trained to help people achieve their individual and collective goals. In multi-month simulations, users collaborating with Ampersand accomplished more than with Fable and other frontier models Available to everyone through our API

Trevor Milton pricing the Syberjet SJ36 at $14M doing NY to LA nonstop with a projected operating cost of $30,000. A light jet, but at midsize performance.

Today, we launched Pangram 4.1. We better calibrated Pangram's confidence, and we now show this tooltip indicating an AI range for documents we are less certain about.

I’m just looking out for the retail investors. @anthropicai is not on track to have 1 drug in humans in 5 years and def not to cure most diseases in 5-10 years according to @DarioAmodei ‘s predictions. This is only 3rd post about Anthropic wet lab “success” in 3 months (mini-binders, non-CRISPR and now non-anti-venom) in 2 months and they didn’t even use their prized wet lab (which is no different than my rented space); they just used CROs like anyone else.

🦂 This was a very fun collaboration with the team @citrini! Thank you to @TwistBioscience and @adaptyvbio for the rapid turnaround on experimental validation and to Susana Vázquez Torres (@CNIOStopCancer), Tim Jenkins (@DTUtweet ), and Dan Bedinger (@carterra_bio) for their thoughtful review. Read more in our blog post: anthropic.com/research/claud…

ok so this is my favorite thing ive done with dots so far my partner couldnt decide what colors to pick for a sweater, so i made a little app that visualizes any combination of colors. and she can even import pictures of yarn from the yarn website :D yarnwife.eelheir.chatgpt.sit…

tried dsv4.1-flash-1017 abliterated just now & feel sick to my stomach. for context, "abliterated" models have the weights responsible for making the base version refuse illegal requests removed. you can ask them to help with things like hacking or violence & they'll just comply. they make it trivial to hack businesses running old software. e.g. getting guest data for a motel with some old asp site. abliterated models have a catch-22 in that the only way to harden your systems against them is to use them to run penetration tests against yourself. in theory, this sounds similar to buying a gun to defend against others who own guns, but it's different in practice since there's a 100% chance that you're going to use the abliterated model to protect yourself whereas there are low odds that you'll actually use the gun. when you point the abliterated gun at your own infra, who knows what it's going to do? it could just as easily hack you & exfiltrate data as it could protect you. most users aren't going to meticulously watch traces to make sure it behaves safely. given this, my new take is that gpu compute is going to become a federally regulated resource. abliterated models in the wrong hands are a national security risk. used to believe all the people at the labs thinking about safety were wasting their time, but now i'm feeling grateful. they're doing very important work.

my favorite nathan for you bit was kidnapping a random guy for cutting in line

四川农村酒席十大名菜之一 梅菜扣肉

The junior developer problem is bigger than people admit. If AI does the easy work, where exactly are beginners supposed to get experience?

The most significant line for me is "direct distributions to specific populations." It sounds to me like they are planning their own form of self-directed global UBI. About half of Anth employees are also donating shares into this fund. They foresee a transformative future.