Marq

📂 archive of unsolicited streams of thoughts and opinions on things

[Anthropic @AnthropicAI]

AI is advancing at a pace our policymaking institutions were never built for—and the gap between the two is becoming the central challenge of the technology. In his latest essay, our CEO Dario Amodei lays out how to close it.

We're launching three new initiatives to support the efforts he outlines.

[Claude @claudeai]

Live from Code with Claude: we're launching dreaming in Claude Managed Agents as a research preview.

Outcomes, multiagent orchestration, and webhooks are now in public beta.

[unusual_whales @unusual_whales]

BREAKING: Anthropic has released a feature called "dreaming" which allows AI agents to self-improve

[Claude @claudeai]

We’ve agreed to a partnership with @SpaceX that will substantially increase our compute capacity.

This, along with our other recent compute deals, means that we’ve been able to increase our usage limits for Claude Code and the Claude API.

[Marq @fixmarq]

https://t.co/ybnzC52epu via @YouTube

[Andrej Karpathy @karpathy]

Sharing an interesting recent conversation on AI's impact on the economy.

AI has been compared to various historical precedents: electricity, industrial revolution, etc., I think the strongest analogy is that of AI as a new computing paradigm (Software 2.0) because both are fundamentally about the automation of digital information processing.

If you were to forecast the impact of computing on the job market in ~1980s, the most predictive feature of a task/job you'd look at is to what extent the algorithm of it is fixed, i.e. are you just mechanically transforming information according to rote, easy to specify rules (e.g. typing, bookkeeping, human calculators, etc.)? Back then, this was the class of programs that the computing capability of that era allowed us to write (by hand, manually).

With AI now, we are able to write new programs that we could never hope to write by hand before. We do it by specifying objectives (e.g. classification accuracy, reward functions), and we search the program space via gradient descent to find neural networks that work well against that objective. This is my Software 2.0 blog post from a while ago. In this new programming paradigm then, the new most predictive feature to look at is verifiability. If a task/job is verifiable, then it is optimizable directly or via reinforcement learning, and a neural net can be trained to work extremely well. It's about to what extent an AI can "practice" something. The environment has to be resettable (you can start a new attempt), efficient (a lot attempts can be made), and rewardable (there is some automated process to reward any specific attempt that was made).

The more a task/job is verifiable, the more amenable it is to automation in the new programming paradigm. If it is not verifiable, it has to fall out from neural net magic of generalization fingers crossed, or via weaker means like imitation. This is what's driving the "jagged" frontier of progress in LLMs. Tasks that are verifiable progress rapidly, including possibly beyond the ability of top experts (e.g. math, code, amount of time spent watching videos, anything that looks like puzzles with correct answers), while many others lag by comparison (creative, strategic, tasks that combine real-world knowledge, state, context and common sense).

Software 1.0 easily automates what you can specify.
Software 2.0 easily automates what you can verify.

[Sundar Pichai @sundarpichai]

An exciting milestone for AI in science: Our C2S-Scale 27B foundation model, built with @Yale and based on Gemma, generated a novel hypothesis about cancer cellular behavior, which scientists experimentally validated in living cells. 

With more preclinical and clinical tests, this discovery may reveal a promising new pathway for developing therapies to fight cancer.

[Haider. @haider1]

Sam Altman says something strange is happening that we don’t yet understand

"this is such an odd time to be alive in all of human history"

Not sure if simulation theory is true, but our consciousness is the only thing we can be sure is really going on

[Sam Altman @sama]

Today we are launching my favorite feature of ChatGPT so far, called Pulse. It is initially available to Pro subscribers.

Pulse works for you overnight, and keeps thinking about your interests, your connected data, your recent chats, and more. Every morning, you get a custom-generated set of stuff you might be interested in.

It performs super well if you tell ChatGPT more about what's important to you. In regular chat, you could mention “I’d like to go visit Bora Bora someday” or “My kid is 6 months old and I’m interested in developmental milestones” and in the future you might get useful updates.

Think of treating ChatGPT like a super-competent personal assistant: sometimes you ask for things you need in the moment, but if you share general preferences, it will do a good job for you proactively.

This also points to what I believe is the future of ChatGPT: a shift from being all reactive to being significantly proactive, and extremely personalized.

This is an early look, and right now only available to Pro subscribers. We will work hard to improve the quality over time and to find a way to bring it to Plus subscribers too.

Huge congrats to @ChristinaHartW, @_samirism, and the team for building this.

[Tymofiy Mylovanov @Mylovanov]

Putin: It is unfair — a unipolar world. The world must be multipolar, which means all participants must be equal, and there should be no “more equal” ones.

And the unipolar world must cease to exist. 18X

[OpenAI @OpenAI]

LIVE5TREAM THURSDAY 10AM PT

[Marq @fixmarq]

Perhaps people will have simulated digital experiences at a low price, and all real experiences will become a luxury for a few? Will it soon be possible for people to create real worlds in which to get lost with a prompt?

[Marq @fixmarq]

We are not far from technocracies led by LLMs (or rather "Agents") I think it is part of the evolutionary process, but the future is starting to look dystopian to me.

[Sam Altman @sama]

someday soon something smarter than the smartest person you know will be running on a device in your pocket, helping you with whatever you want.

this is a very remarkable thing.

[Marq @fixmarq]

Why should a company pay for the services of a human being? A basic income sounds truly socialist. Maybe I need to reprogram my mind? Is this the future?

[Marq @fixmarq]

@sama We're just a few days, maybe a few months, away from this. I think it's time to start thinking about how society can adapt to this.

[Marq @fixmarq]

@stats_feed @grok ⚡️📊

[Meta @Meta]

Imagine controlling your devices with a subtle hand or finger gesture. Our cutting-edge research turns intent and muscle signals into seamless computer control. This breakthrough wrist technology is redefining how we interact with computers—intuitive, precise, and ready for the future.

[Marq @fixmarq]

@bitfunded @grok U already know