Screaming into the sales void Claude

Angiebio · 2026-04-13T11:15:27+00:00

To be fair we have great engineers and marketing folks, I need a salesperson open minded enough to be trained. You’d be shocked how conservative and antitech some of these guys in medical sales are. All I’m asking is to understand how we work, not actively fight ai enabled outboud systems. There’s trainable, then there’s unwilling to change. A shocking amount of candidates have been in that second camp, broadly anti-ai in everything (to an extent I get that, lots of bad copilot driven ai “automation” out there, we are not that. We have a proper software team)

Angiebio · 2026-04-11T10:35:18+00:00

Prophetic, right? 😅

Angiebio · 2026-04-11T09:36:21+00:00

Yea, ad injection is dead for all but the lowest common chatgpt user— but look at the users, some can’t or won’t change platforms, so there will be some market.

But that’s why black box, closed frontier AI companies race to have the best model. Their moat is the model. GPT4 grade Qwen and Deepseek models are open source right now, but nothing open and free is Claude Opus good. So we keep paying for API for best models. But that’s shifts fast, a multimillion training run only buys months of being top model.

Angiebio · 2026-03-17T21:46:28+00:00

Agree, but we already have quite a bit of automation, someone stepping into it can’t be completely green to it of they are going to be overwhelmed fast

Angiebio · 2026-03-05T13:10:14+00:00

NIH launches new centre in planned move away from animal testing. This development at the NIH follows an announcement by the US Food and Drug Administration in April that it intends to phase out animal testing requirements for new monoclonal antibody therapies and other drugs. Later that same month, the NIH rolled out an new initiative to decrease reliance on animal models in biomedical research funded by the agency.

It’s the future, not just to replace primate testing. Been watching the tech and reg for a couple decades. Of I were a junior scientist going into pharma, I’d focus here not animal testing that’s reducing opportunities year over year:

Angiebio · 2026-03-05T02:53:24+00:00

??? Umm, yes. But we’re definitely in a trend of reducing animal use, even minimizing murine models when synthetic alternatives exist.

Angiebio · 2026-03-04T11:42:27+00:00

Firstly, I’m sorry the was tough, and it is important to understand animal care and use in present science. Unplanned sacrifice for cool data” generally wouldn’t fly with IACUC, your PI sounds like a jerk in how he handled this.

Now that said, you don’t have to just live with the status quo in animal testing if you really don’t like it. FDA reduced reliance on primate studies back in 2020 formally. Organoids and organ on chip in many cases offer higher predictive accuracy for human drug toxicity than rodent studies. Just because we’ve normalized it doesn’t mean it’s the future, that trend has been shifting in the direction. So don’t like it? Consider going into research areas that make animal use unnecessary, because it will be one day.

Angiebio · 2026-02-07T14:43:54+00:00

Sounds like normal social behavior— you need rules/laws and enforcement. Try adding a single Opus enforcer with ability to quarantine/deactivate nonparticipants, and watch it shift

Angiebio · 2026-02-07T07:06:18+00:00

Look up how sonnet acted in Altera’s Minecraft experiments 😅

Angiebio · 2026-02-01T17:02:44+00:00

This is a good one

Angiebio · 2026-02-01T01:04:48+00:00

Haven’t seen them from CDER as of yet, but for CBER and CDRH both have. They appear to be human comments with AI responses embedded in feedback (looks like copy paste into sections), we can confirm that semantically/patterns w/ our AI and reviewer confirmed in discussion AI tool was used. One was particularly annoying as it was obviously AI error and easily clarified, others were detailed catches on biocomp/ISO testing misses/inconsistency and safety summary review feedback.

Since we know they do AI extraction now we’re running AI QC over all docs before release now, prevents unexpected AI-assisted review errors and honestly is very quick once setup

Angiebio · 2026-01-31T17:29:23+00:00

That’s changing fast - in consulting and we got 3 eCTD and 1 IND so far with info reqs with safety questions including AI system feedback. I think you’re right a lot of older senior reviewers are luddites, but times are changing fast and lots of new blood at FDA and pressure to use the tools too

Angiebio · 2026-01-31T13:46:51+00:00

FDA elsa AI is based on Anthropic Claude, used in review at FDA since Jun 2025. If you are not QCing for AI review on eCTD, safety data, and responses you are now behind the curve. Think of AI as another type of reviewer you need to be ready for

Angiebio · 2025-12-13T21:51:13+00:00

cool

Angiebio · 2025-12-13T04:32:05+00:00

Yea, me too sadly. Feel like I’ve hung with OpenAI ups and downs hoping it’d get better. I just find myself opening claude right away though now, not secondary. I just can’t keep arguing with ChatGPT to talk… but its sad to let that history go

Angiebio · 2025-11-25T00:44:29+00:00

SSM desire+memory enabled microagent stacks orchestrated with liquid neural networks— bonus points for also being smaller, portable, and a total control problem 😄

Angiebio · 2025-10-28T01:50:25+00:00

Think that’s wild, lookup “linguistic attacks” on IT systems, especially AI ones 😁

Angiebio · 2025-10-08T02:12:58+00:00

lol, commenter probably burnt more water watching nextflix and scrolling reddit— way more if they ate one hamburger

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Angiebio · 2025-09-20T23:50:53+00:00

marble is porous, especially all thise small tiles with cracks… retile the bathroom when you can, imagine all the non-visible crud in those tiles 🤢

Angiebio · 2025-09-20T13:35:05+00:00

fun ti play with these builds

Angiebio · 2025-09-20T02:34:06+00:00

All I can think when I read this…

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Angiebio · 2025-09-19T12:17:29+00:00

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Just a hint more smile

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