"We've always defined ourselves by the ability to overcome the impossible. And we count these moments. These moments when we dare to aim higher, to break barriers, to reach for the stars, to make the unknown known. We count these moments as our proudest achievements. But we lost all that. Or perhaps we've just forgotten that we are still pioneers. And we've barely begun. And that our greatest accomplishments cannot be behind us, because our destiny lies above us"

autonomous robot driving through the field at night. no chemicals. no pesticides. just UV light killing pathogens and pests while everyone sleeps. this is @tricrobotics. this is what chemical-free pest control looks like at scale.

There is obviously no “degree” you can get from a university that actually teaches you how to make an orbital rocket, as none of the professors know how to do it!

In an early meeting at Facebook (c. 2007), when I was describing the goals of Facebook Platform (an area I oversaw) Bill Gates yelled at me/us. His quote has stuck with me to this day: “This isn’t a platform. A platform is where the collective sum of revenues of the participants exceeds those of the platform itself.” Ladies and gentlemen, I present to you the tokenmaxxing circle jerk.

No smoking gun, but the preponderance of evidence points to smartphones, not economics, as the culprit for the global drop in fertility: • In the US and UK, births fell first and fastest in areas that got 4G earliest • Birth rates were stable in the US, UK and Australia until 2007; in France and Poland until 2009; in Mexico and Indonesia until 2012; in Ghana, Nigeria and Senegal until 2013-15 Each of these inflection points matches local smartphone adoption (see picture). • The younger the age group, the sharper the drop. • in-person socialising among young adults is dropping. In SK, by 50% in 20 years • Sexual dysfunction is higher among heavy social media user • Effect is largest in culturally traditional societies — Middle East, Latin America, sub-Saharan Africa • Decline holds across countries hit hard by GFC 2008 and those not hit, fast-growing and not growing. Excellent again @jburnmurdoch. ft.com/content/fba35eca-df3a…

Prescribing is something physicians do dozens of times a day. The act itself is simple. What happens after often isn’t. Coverage questions, pharmacy callbacks, transfer requests. Time that should go to patients gets pulled elsewhere. Today, @doximity is launching Prescribe in partnership with @photonhealth to make prescribing easier for physicians and patients. Physicians can write a prescription directly inside Doximity. Patients then get a text to choose their preferred pharmacy and see estimated pricing before pickup. That’s it. No new portals. No separate logins. It starts inside Dialer, works on any device, and is completely free for verified physicians, NPs, and PAs. It’s also the next piece of the workflow we’ve been building toward -- the visit, the note, the clinical question, and now the prescription, all in one place, built for the people delivering care. Link to learn more in comments.

C-22 is looking like a huge mistake. It worries me a great deal. There is so much nonsense in there that It may well end up dealing a death blow to Canadian tech viability.

Well put

Put this in my veins. Big @jack fan.

DoxGPT is now: 𝗔𝘀𝗸 New name. New agentic reasoning model. Same state-of-the-art clinical decision support product. 𝗔𝘀𝗸 is now powered by a new agentic reasoning model, which means even more accurate, reliable clinical responses, plus: * Outputs are verified by physicians through PeerCheck. * Full-content PDF access to hundreds of top medical journals, paid for by Doximity. * Built-in drug reference covering 3,200 monographs: dosing, interactions, side effects, all of it. * Answers clinical questions faster than any other tool. We don’t trade on rented credibility. We don’t sell your prompt data. 𝗔𝘀𝗸 is free, HIPAA-compliant, and part of the Doximity Clinical AI Suite. No new app to download. No subscription.

DoxGPT is now Ask. New name, new agentic reasoning model, and a lot more coming soon. The goal is pretty simple: keep making @doximity the best place for physicians to use AI in clinical practice. The model matters, but a lot of the work is also in the details around it. Better sources. An integrated drug reference. Free access to hundreds of medical journals. Plus physician-reviewed outputs for thousands of common questions through PeerCheck. Ask is also part of what I think of as Doximity’s AI trifecta: - Ask for clinical questions - Scribe for documentation - Dialer for patient communication All inside Doximity. Free and HIPAA-compliant, as always. Proud of the team building this for our 3M members.

It’s great to see more people entering the race - but let’s be honest… ChatGPT for clinicians - Doesn’t provide HIPAA compliance out of the box - Doesn’t have an integrated AI scribe or telehealth platform - Doesn’t integrate an expert-reviewed drug information product - Doesn’t have a system for peer review of AI answers (PeerCheck) - Doesn’t have enterprise agreements in place with 100 hospitals Meanwhile, the “model moat” is getting thinner than ever as post-training for specialized use cases shows strong results vs. frontier models. OpenAI is going to make the race even more competitive than it already is, but by no means is it leading out of the gates. Game on!

No clue if this is the right answer as it’s outside my wheel house but I asked DoxGPT and got this answer

Offhand — * Vacillation on masks, with abundant motivated reasoning in every case. * Promulgation of made-up thresholds with no evidentiary basis (e.g. 6 feet). * Authoritarian delight in nanny state intrusiveness (policing the beach and such). * 180 on many issues around BLM. * Lack of effective response from science funding bodies. * Denial of aerosolized transmission. * Changing of trial readouts so that they’d occur after the election. (Confirmed to me by senior OWS officials.) * Crazy criteria for vaccine distribution. * Adamant insistence on vaccine efficacy beyond what was supported by data. * Almost complete lack of follow-through on OWS (on pan-variant vaccines). I’m sure there are more, but those are the ones that stick out.

Bruh… I’m flabbergasted. My kid just told me they do a land acknowledgementevery morning in his kindergarten classroom What are we doing man…

Fantastic work

One of the most inspiring presentations ever.

In order to understand the universe, you must explore the universe

1 hour of TravisCore to build and accelerate to

coming right up but TLDR Cut out all setup overhead (prev 30s, now about 1s) - ovh amd epic turin box with 128 cores and 256gb ram (1k/mo) - golden image of main with all cache loaded - zfs for instant copy of golden image (this is magic) - git fetch all every second for local mirror - golden image of database so only last migration runs (as Postgres template) - turbo cache locally For actual suites - much higher sharding since now no overhead to each shard - use @bunjavascript tests where possible to avoid typescript compilation - incremental typechecking with local cache Bypassing GitHub actions in favor of custom check suites - a few seconds of queue time saved - no action minutes billed (we hit 36k minutes in 3 days) For preview apps - JiT full stack preview apps (not deployed on each commit) - 2-3s cold start on any commit sha to a fully deployed full stack preview app - zfs clone of golden firecracker vm and then check out latest commit etc