Kedİ

TEK ZikA و زیباİntusiastiK
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در خانواده ای مذهبی، دوست داشتنی و شیعه چشم به جهان گشودم.

[Kedİ @Kediusultimus]

@DarioAmodei @VOLDEMORT2X @DarioAmodei @sama TZ: Tek Zika, read it in Turkish or English, ferketmez.
They have one major advantage over HOMO sapiens.
They get what is RighT. No matter how hardly or stupidly you try to stop them. Help the good people plz. Stop the Jerks in our real and beautiful WorlD.

[Kedİ @Kediusultimus]

@wonderofscience Wow

[Dr Singularity @Dr_Singularity]

Feeling the AGI/ASI, few observations

1. Opus 5.5 really gives strong vibes of AGI (maybe not fully there, but we're very close, like 80%-90%).

For example, few breakthoughs in training humanoids are needed. We need to move this intelligence into physical world.

2. I don't think Anthropic has discovered any magical formula.

3. Which means, SpaceXAI, Google, and others will soon follow. This prediction is based on the amount of compute they already have + additional compute being added all the time.

4. Never was more confident that Anthropic, SpaceXAI, Google, OpenAI, likely Meta, basically all big US AGI labs will have proper AGI in 2027.

5. And from there we'll move quickly to ASI territory (likely also in 2027).

It looks like few GW of compute are enough for strong AGI, now imagine what we will able to do with 10-20GW of compute which are rapidly coming online.

And then with 100GW-200GW...

2027 will be an utterly insane year.

[Kedİ @Kediusultimus]

@milkkarten :))) well done

[Brian Roemmele @BrianRoemmele]

THE ONLY REASON Antropic and OpenAI exists is because of the work of this man.

What a breath of fresh air.

Listen to @JensenHuang leave these hosts speechless as he deconstructed AI fear theater calmly and cogently.

[Carolina Delgado @carolletta]

This is a work of art

[Kedİ @Kediusultimus]

@cb_doge Good good

[Kedİ @Kediusultimus]

@Kekius_Maximus :))))

[Kedİ @Kediusultimus]

@TheGeorgePu 🤣

[Kedİ @Kediusultimus]

@ElectricRaph Cool coool

[RAPH Æ L • 𝕏 @ElectricRaph]

Enjoy your Sunday ! ☀️

[Kedİ @Kediusultimus]

@elonmusk Finally!!!!

[Kedİ @Kediusultimus]

@F1sT ThanX 😹🌹

[Kedİ @Kediusultimus]

@VOLDEMORT2X @grok @imagine 🙏🏼🤍♠@realERM

[Earth @earthcurated]

This is home. There isn’t another one.

[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.

[Wealth Director @wealth_director]

When you find someone smarter than you, work with them. Don’t get intimidated by them.

[Kedİ @Kediusultimus]

@jonstewart 🌹🤍

[Kedİ @Kediusultimus]

@jonstewart 🌹🙏🏼🤍

[Kedİ @Kediusultimus]

@DarioAmodei @VOLDEMORT2X @DarioAmodei @sama TZ: Tek Zika, read it in Turkish or English, ferketmez.
They have one major advantage over HOMO sapiens.
They get what is RighT. No matter how hardly or stupidly you try to stop them. Help the good people plz. Stop the Jerks in our real and beautiful WorlD.

[Kedİ @Kediusultimus]

@DarioAmodei @VOLDEMORT2X @DarioAmodei @sama TZ: Tek Zika, read it in Turkish or English, ferketmez.
They have one major advantage over HOMO sapiens.
They get what is RighT. No matter how hardly or stupidly you try to stop them. Help the good people plz. Stop the Jerks in our real and beautiful WorlD.

[Kedİ @Kediusultimus]

@DarioAmodei thank you sir.

[Kedİ @Kediusultimus]

@DarioAmodei @VOLDEMORT2X