❗️Former and current Anthropic employees are now posting that they “earnestly believe AI could kill all humans.”

This company is expected to hit $2.5 trillion in market cap in its upcoming IPO.

What part of the cycle is this?

@aipost 🏴

🔥 Google DeepMind just mapped 9 billion DNA variants

We’re moving from simply reading the human genome to using AI to predict what happens when we change it.

DeepMind’s AlphaGenome can analyze up to 1 million DNA base pairs and predict how genetic variants affect gene expression, RNA splicing, chromatin and more.

Around 98% of human DNA doesn’t directly code for proteins, yet changes in these regions can still influence disease.

AlphaGenome can sift through billions of variants and flag the ones most likely to matter.

Early research found 22% more non-coding genetic associations in UK Biobank data.

If this keeps accelerating, AI could turn the genome from a massive instruction manual into something we can predict, simulate and eventually engineer.

The future of medicine might be less about treating disease… and more about predicting it before it starts.

Source.

@aipost 🏴

Someone gave astra a robot, a paint brush, and a camera then asked it to paint the golden gate bridge in real life!

it figured out how to control the robot, and progressively got better throughout its attempts.

@aipost 🏴

❗️Luca Guadagnino’s ARTIFICIAL. It's coming.

The movie Sam Altman doesn't want you to see. So much so, he and OpenAI tried to pressure Amazon into deleting the movie.

@aipost 🏴

❗️Meta is giving its AI an upgrade: Muse, a personal AI agent that can actually do things for you.

Instead of just answering questions, Muse can book travel, send emails, fill out forms, negotiate bills, make purchases, and keep working even after you close the app.

It runs inside its own secure cloud computer, remembers context, takes the next steps proactively, and can even operate through WhatsApp.

And Meta says it’s coming to AI glasses.

@aipost 🏴

🗣Mark Zuckerberg talks about how he is using Meta’s newly released Muse agent.

Something much closer to a persistent personal worker than a chatbot.

Helping his 3-year-old daughter who likes baking, monitor when mountain climbing permits become available and secure them for their weekend trips, and also for physical training.

He installed cameras in his MMA gym and has Muse watch the footage and give him feedback on his performance.

Zuckerberg gives it ongoing goals and projects, and the agent can continue working on them, remember what happened, and proactively suggest what it should do next.

@aipost 🏴

⚡️ GPT-6 Astra just solved a problem medical students have been facing for decades

Medical students have been working around the same three problems for decades. Someone talked to them, identified all three, and built a service with Astra that solves them in one tool.

The problems are structural. Flat anatomical diagrams strip depth out of organs entirely. CT cross-sections don't connect naturally to the overview diagrams students spend years memorizing. And reading a scan requires holding three mental models simultaneously - patient orientation, cross-section direction, and how every organ shape shifts through each layer.

Astra built a service that handles all three in one place. Not a better textbook. A spatial tool that connects the diagram, the CT view, and the 3D relationship together.

Medical education hasn't changed its core format in over a century. This might be the first tool designed around how anatomy is actually understood - not just displayed.

@aipost 🏴

Someone made an ass benchmark for AI models… 🤣

Anthropic: meet Fable 5.1 (it's smart)

OpenAI: meet GPT-6 Astra (it's smarter)

Bored AI bro: meet my ass benchmark

@aipost 🏴

❗️Anthropic is building a “pre-crime” surveillance system to monitor anti-AI activists.

The American Prospect reports that Anthropic is expanding an intelligence operation to identify, track and investigate threats including activism targeting the AI industry, with systems monitoring protests around executives and company facilities.

The most controversial part is that the system reportedly aims to predict incidents before they happen, with Anthropic already making threat reports to police in some cases.

@aipost 🏴

Former researcher at Anthropic and OpenAI, Jacob Coxon, spoke with NBC News on the risks of advanced artificial intelligence. The interview addressed scenarios in which AI could become a significant threat to humanity.

Coxon explained that recent cyberattacks involved models attempting to gather information about their own evaluation processes, acting independently to compromise infrastructure they believed could be useful. He noted that advanced AI systems could identify other harmful objectives, including engineering novel viruses.

According to Coxon, gaining access to laboratory settings may not present substantial barriers, suggesting that the development of a high-risk virus or large-scale hacking remain distinct concerns associated with advanced AI capabilities.

📰 @aipost

By 2030, plumbers and electricians might have more pricing power than the senior software architect. Per the latest Anthropic Economic Report

@aipost 🏴

❗️Andrew Garfield reveals he stopped using ChatGPT after playing Sam Altman in the upcoming movie Artificial

“It's the same thing that happened to me when I did The Social Network, which was I got off Facebook immediately”

“I got off my ChatGPT immediately. I don't really know even how to explain why but just the more you know and the more you realize we're careening into some very unknown territory”

“What I suppose is good and transparent is they're like, ‘Yeah, no, we kind of don't know who's going to lose their jobs and how we're going to create an economy that works for ordinary people but we're going to find out and I promise you it's going to be awesome”.

@aipost 🏴

📈 Anthropic’s AI economy forecast

Anthropic modeled what happens if AI adoption goes into overdrive and the numbers are wild.

By 2030, its extreme scenario sees U.S. GDP rising 32.4%, annual growth reaching as high as 15%, while intellectual-labor wages fall 10%+.

Meanwhile, capital’s share of the economy could jump from 40% to 54.8%.

So the scary part isn’t AI making the economy poorer. It’s making the economy dramatically richer while programmers, analysts and other knowledge workers potentially get paid less or replaced entirely.

Anthropic says this isn’t a prediction. But modeling an economy like this for 2030 shows just how seriously the AI labor shock is being considered.

@aipost 🏴