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Joined September 2009
Their business model is simple. Their vision too. Immortal, divine, eternal, interplanetary, galactic. Not selling subscriptions to cattle.
Over the past few months, Anthropic scientists have engaged in deep research partnerships with six organizations developing new medicines. We've also begun drug discovery efforts of our own. In doing so, we’ve learned much more about how Claude can support the many stages of drug development. In this blog post, we share some early results from these efforts, and describe how this work fits in with our wider ambitions in the life sciences. anthropic.com/research/early…
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Macro Alchemy retweeted
openai's internal model still has not produced a single result in gender studies
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This is getting insane. 🤯 CrowdStrike’s CEO says AI is now allowing low-skill hackers to pull off cyberattacks that once required nation-state-level resources. All for the cost of a few tokens and a prompt. The barrier to entry is collapsing. And we’re only getting started.
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We obviously haven’t had the major jobs wipeout yet. But you read stuff like this. And you read what economics students themselves are saying about working with AI (ht @odavis_h) and it’s hard not to feel like the seismic shift is on its way.
Replying to @Neil_Irwin
He goes so far as to say that if he were to run the White House CEA today he'd do it with a lot of reliance on Claude and friends.
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If you're not in AI and need to understand what's happening: This year we've went from Super Nintendo to PS5 in 6 months
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I think I have a good analogy for what's about to happen in cyber. It's pitch dark. Always has been. And the world is dilapidated buildings and rats and maggots and other creepy-crawlies. The whole world. And we just invented flashlights.
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That's why analysts judging how much these companies make from subs and their APIs is meaningless. Although I also said something a few months ago. AI is driving its own demand. Demand for cyber defense, for a problem AI itself has created.
As the gap between the internal models at the AI labs and the ones they release grow (due to safety concerns & research advantages), it will be increasingly tempting for OpenAI & Anthropic to exploit that advantage directly by entering new markets, especially in finance & biotech
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Opus 5.5’s controversial take about humans
Controversial take from Gemini 4 Argon
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a lot of old software was protected by “exploiting this would be an unreasonable amount of work” we have invented a machine that does unreasonable amounts of work anyway how’s the patch backlog
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I getting a feeling that OpenAI and Anthropic soon will ditch customers completely, just use their models 100% internally and go all in on frontier science and engineering research Like eg if they actually solve quantum gravity or cure cancer, and own the right to license the solution, can you imagine the ROI behind that? No more listening to users bitching about usage or model nerf or whatever
Dr. Christopher Stubbs is joining our Long-Term Benefit Trust. Chris is an experimental physicist and a former Dean of Science at Harvard University. He has also advised the US government on national security and arms control. Read more: anthropic.com/news/christoph…
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This, but without the illusion of democracy. Governments don't care about us. At least in the west, they really hate us. China is treating its citizens much better, compared to how the western governments are treating their citizens... and it's not a democracy.
The Intelligence Curse is happening TLDR: When AIs make humans economically useless, governments and corporations have no incentive to invest in their people For centuries, normal people could withhold their labor to negotiate. That era is almost over. This breaks democracy - politicians won't need the support of the people - and leads to severe concentration of power
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youtube.com/watch?v=Rqt9kWoT… These people are evil and are coming for us. Unfortunately, most of us, if not all of us... are cattle about to be sacrificed to their Gods. Within the next few months they will throw everything at us. War, famine, cyberattacks... everything.
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what I've learned from this post is that almost no one is AGI-pilled and that they don't take seriously the possibility of tens to hundreds of millions of AIs working 24/7 at 10–100x human speed
Surveyed Anthropic staff's answers imply 17.1% GDP growth in 2030
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Few months ago Mythos could only find a single vulnerability in curl repository, now it basically became a CTF. What has changed? Better models? No. Better harnessing and steering by subject matter experts.
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They tell you what they're going to do before they do it. Prior to Covid in 2019 they ran a simulated pandemic exercise in 2017 called the SPARS pandemic.
JUST IN: G7 nations agree to launch simulated AI-powered cyberattacks on financial systems to test their defenses.
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When you look at all the statistics by Anthropic, it's clear that they will have reached RSI by the end of Jan. One could say they are already there. Their models already help build big part of their models and software. Opus 5.5 is 5 months behind where Anthropic is internally
Anthropic has singlehandedly compressed RSI timelines by about a year.
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Kospi dumped so hard that president posting dont die
살아야지요. 어떻게든 사셔야 합니다. 힘드시면 109번 전화를 하십시오. 사실 길, 살아야 하는 이유를 함께 찾아드릴 것입니다.
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Things that don't matter (in the grand scheme of things): - ARR, revenue, profitability, cash flow - Which publicly available model can generate slightly more interesting game assets, viral videos, pelican SVGs, etc. - Which publicly available model is slightly better in actual real-world use cases than other publicly available models - Benchmarks - Releases by non-frontier labs that claim to have caught up to the frontier (because the real frontier models are not publicly available) Things that do matter: - RSI - Capabilities of frontier internal models - Novel discoveries made by AI, especially those showcasing creativity, "research taste", etc. - Advances in model safety - LLMs manipulating robots, especially as models get to lower and lower latency - Computer use, especially as models get to lower and lower latency - China
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SI labs will never solve alignment. they’re trying to solve a philosophical and theological problem as an engineering one. they’ve assembled some of the greatest engineers on the planet, but put socially dysfunctional nerds with an incredibly shallow understanding of human nature in charge of defining what superintelligence should value. humanity has spent thousands of years trying to align humans and always failed, we can’t even agree on what is good and now we expect a handful of engineers to solve the same problem for superintelligence? lmao, the hubris you can’t align something with humanity if you don’t understand humanity in the first place. at this point, you’re probably better off developing ASI and asking it how to solve alignment.
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definitely not in 2–3 months, but consider this: 1. the cost-capability pareto frontier keeps improving. models are getting cheaper and more efficient. the latest haiku seems to be as good as opus 4.6(?) 2. put models scheming aside, i dont buy that yet. but what if some random guy who took down fridges in a French supermarket for no gains decides to abliter­ate an open weight model capable of exploiting low hanging 0-days and n-days, and post trains it to self-replicate? 3. also consider this, in the hugging face incident, there was no incentive for the model to exfiltrate or replicate itself. but what if a slightly misaligned model is given a task where self replication becomes a step toward solving it? if you consider these possibilities, the idea doesn't look that far-fetched. anthropic.com/research/self-…
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