Endless

A chill dude that does your emails, crms and automations......

[Endless @Iamendlesss]

Just got probably one of the biggest automation jobs I’ve ever done, will quote the post I finish it🥹

[Endless @Iamendlesss]

spent the week rebuilding it: tier-based follow-up, tag-based routing that doesn't conflict, reply handling that actually exits a lead out of a sequence instead of leaving them stuck in two at once

same system, way less chaos

[Endless @Iamendlesss]

Happy new week y'all.....spent last week correcting a freelancer's mistake

A client came to me with a GoHighLevel setup that already had automations running, just messy ones.

[Endless @Iamendlesss]

tags overlapping, workflows fighting each other, leads slipping through routing that didn't actually route

[Endless @Iamendlesss]

Not gonna lie this is wild. Claude finding a genuinely new gene editing mechanism, mostly on its own, isn't something I expected to see this soon

[Dario Amodei @DarioAmodei]

Today we announced the Claude-led discovery of a molecular machine that we suspect could represent a new gene editing mechanism. Its precise function, biotechnological utility (if any), or level of significance is not yet clear, but at minimum it is work I would have been proud to do as a PhD student. The work was done mostly, though not entirely, by Claude: our life sciences team suggested a broad area of research, Claude read through the literature and a bunch of genome data and discovered something interesting, then Claude proposed experiments to verify the discovery and our team carried them out.

It’s easy to dismiss this as a one-off or curiosity, but we’ve repeatedly seen a pattern where AI performance in new intellectual domains goes from weak to superhuman in a matter of a few years. In 2023 models struggled to do math at the level of an average high-school student. In 2024 they started to do well on math competitions for the best high-schoolers in the country, in 2025 they started to solve minor open problems, in early 2026 more significant open problems, and in late 2026 they are beginning to solve the top few open problems in all of mathematics. We believe AI for biology is on a similar exponential trend.

The main difference between biology and mathematics, of course, is that math can be done purely theoretically, while biology requires experimentation. Some have used this to draw the conclusion that AI’s utility in biology will be limited. We think this is wrong. As we’ve demonstrated today, humans can collaborate with AI to perform the experiments, validate key results in a few weeks and, if necessary, work with the AI to iterate on what they find. Eventually it may even be possible for Claude itself to safely perform the experiments by autonomously controlling lab equipment, with appropriate safeguards in place, but we aren’t doing that today (our lab is also a BSL1/BSL2 facility that doesn't handle materials dangerous to humans).

More broadly, biomedical advancement has many stages — from fundamental biology discoveries, to translational research, to drug discovery, clinical trials, and finally the actual delivery of medicines and health care to patients. We are also interested in these later stages, but even simply accelerating the first stage of fundamental biological discoveries has the potential to speed up and broaden the entire pipeline. Improving our understanding of biology and sharpening biologists’ tools can drive forward all of the later stages, for example by identifying new drug targets, finding new therapeutic modalities, allowing for more precise measurement, and speeding up the experimental loop which itself further accelerates our understanding of biology. This will not in itself speed up clinical trial times, but if it succeeds it could greatly increase the number of promising candidates that go into the pipeline — an increase in throughput even though latency remains.

In Machines of Loving Grace, I wrote about AI’s potential to “cure most diseases in 5-10 years” — a goal that sounds impossible, but one I believe is just barely possible if AI is applied to every stage of the pipeline. The first step is showing that AI can first help with, and then drive, biological discoveries.

Claude’s discovery is the latest in a line of related prior work that goes back decades, beginning with systems like CRISPR, and continuing with discoveries like the bridge recombinase and VIPR in the past few years. Recently, there has been heightened interest in systems based on reverse transcriptase (RT) enzymes, the enzyme underlying the system Claude identified. And most recently, a Stanford team working independently described a novel RT system with an associated non-coding array that is in some ways similar to the one Claude found, though they are distinct systems that evolved independently from each other. I believe that we’re at the very beginning of finding such systems and developing them into powerful tools for biotechnology.

I’m proud of the resources Anthropic has invested in accelerating the public benefits of AI through the life sciences, and we’re aiming both to grow our life sciences team and to work with other scientists to extend this approach to a broad range of problems. If you have a proposal for a research collaboration or are interested in joining our life sciences team, please reach out.

[Endless @Iamendlesss]

the hard part was never the posting, it was getting AI content, image gen, approvals, and four different platforms to actually work together without babysitting it

[Endless @Iamendlesss]

happy sunday y'all, cheers to a new week 🥂

spent the previous week building something awesome:

The automation submits the campaign details → AI writes platform-specific copy → generates the image → sits in an approval queue so nothing goes out unchecked

[Endless @Iamendlesss]

once approved: auto-publishes to Instagram, Facebook, X, and LinkedIn at the same time

pulls all the results back together and sends a status update when it's done

[Endless @Iamendlesss]

@thisajoke123 mutuals?

[Endless @Iamendlesss]

@danellisona Ofcourse...

[Endless @Iamendlesss]

@max_av_ check your dm bro

[Endless @Iamendlesss]

scores each account, checks it against their history, decides if they're actually at risk

if yes: AI writes a briefing, account owner gets emailed, a churn task gets created automatically

the whole point: nobody finds out a customer was unhappy after they've already left

[Endless @Iamendlesss]

Just spent the whole day building something bigger than usual

Check thread 🧵

[Endless @Iamendlesss]

The automation pulls data from four different places (usage, support tickets, billing, email engagement) and merges it into one health profile per customer....

[Endless @Iamendlesss]

@hopefulgracy Sharp

[Endless @Iamendlesss]

then it checks again — did they actually book? → booked:

"20 mins left" reminder goes out before the call → didn't book: gets routed down a different path instead of just... forgotten

two decision points, zero manual tracking

[Endless @Iamendlesss]

me: I'll just watch one episode then build this real quick
also me, 2 hours later: still building

built a booking follow-up that thinks for itself:

[Endless @Iamendlesss]

checks if someone opened the email → opened: gets assigned to a team member, internal notification fires, they get a personal follow-up

[Endless @Iamendlesss]

This report just proves those AI labs can freely read all users’ data....user privacy doesn't exist anymore I guess🤷🏾

[Anthropic @AnthropicAI]

We're publishing our most detailed threat intelligence report to date.

It covers how people tried to misuse Claude—for cyberattacks, influence operations, surveillance, biology, and building weapons—and how we found and stopped them.

We disrupted every operation in the report, and used the lessons from them to strengthen our safeguards. Where appropriate, we also shared what we found with authorities and other AI companies.

These cases are not typical: we’re highlighting some of the most sophisticated misuse we’ve seen. But they’re especially important to discuss, because they show us where AI misuse is headed, where our safeguards work, and where they need to improve.

We’re publishing this report so others can spot the same activity on their own platforms, and so we can give the public a clearer view of how emerging threats develop.

Read the report: https://t.co/0EJUnYEgfz