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Ryan Orhan
@rynorhn
building
989 Following    8.7K Followers
the idea that ai-generated code is automatically slop is ridiculous. judge the code, test the code, measure whether it works. who gives a shit whether a human or an agent wrote it?
this guy is a certified yapper. it’s been over a month since opus 5.5 launched and he’s still doing this shit. at this point, it just looks like engagement farming.
i think scientific research is becoming the most exciting part of the entire ai race. we’re reaching a point where the biggest achievements might not be better models, but what those models actually discover.
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openai, anthropic, and google deepmind have been unusually quiet about their most advanced models, while the research coming out of these labs keeps getting more extraordinary. whatever they’re running internally might be far beyond what we’re using today.
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Google strategically shipped Carbon before OpenAI and Anthropic drop their next gen monsters I think they are still ~2 months behind
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i wouldn’t underestimate google though. they have pretty much everything they need to go head-to-head with openai and anthropic. the compute, the talent, the money, and one of the best research teams in the world. if they can get their execution and release cadence right, i don’t think it’ll take them very long to catch up.
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google is still playing catch-up. carbon looks incredible, but openai and anthropic have already moved well beyond what we’re seeing publicly. give it another week or two and we’ll find out.
google is still playing catch-up. carbon looks incredible, but openai and anthropic have already moved well beyond what we’re seeing publicly. give it another week or two and we’ll find out.
google knew exactly what it was doing with carbon’s release timing. get the crown now, before openai and anthropic bring out whatever absolute monsters they’ve been working on. smart move, honestly.
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openai had a whole month to respond to opus 5.5 and google just walked in and stole the show
wake up babe, opus 5.5 has been dethroned. not by openai. by fucking google
holy fucking shit, google. gemini 4 carbon just landed at #1# on artificial analysis with a score of 59, ahead of opus 5.5 and gpt-6 astra. did not see this coming at all.
I did say we'd be releasing our models periodically...introducing Gemini 4 Carbon, our next frontier model. Following Argon's release just two weeks ago, Carbon shows the pace at which we’re pushing the frontier, it ranks #1# on the recently updated v5.0 of @ArtificialAnlys Intelligence Index at 59. It also leads across key cybersecurity evaluations scoring 88.2% on SEC-bench Pro for finding vulnerabilities, 54.8% on ExploitGym for exploitation, and 71.0% on CWE-bench for patching. We’re seeing significant improvements in long-horizon tasks even compared to Argon, and we’ve strengthened frontier safeguards. As we did with Argon, we’re going to roll it out gradually + responsibly. Some trusted cyber defenders will get access starting this week. We'll be expanding it to more partners through our Fairwind Program, ahead of wider availability soon, so hang tight!
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this is a genuinely solid upgrade. probably the most useful version of the index we’ve had so far.
Announcing Artificial Analysis Intelligence Index v5, featuring 2 new benchmarks and 3 upgrades. For the first time, the majority of the Index is built on private datasets The Artificial Analysis Intelligence Index is our composite measure of model capabilities across tasks reflecting real-world usage today. v5 is our biggest upgrade since v4 launched in January. With v5, 60% of the Index is now based on evaluations with private test sets or held-out answers. Alongside Intelligence Index v5, we’re launching the Artificial Analysis Progress Index v1, which tracks model capability over time on one continuous scale. New to the Intelligence Index: ➤ FrontierCode 2.0: Cognition's newly-launched private benchmark of real-world coding tasks, graded on whether a repository maintainer would merge the agent's change ➤ Terminal-Bench-Science: 70 agentic scientific research tasks, run in a terminal environment Upgraded: ➤ HLE-Diamond (replacing Humanity's Last Exam): a refined 1,000-question version of Humanity's Last Exam, split evenly between reasoning and knowledge questions ➤ AA-Omniscience v1.1: An updated dataset with saturated and public set questions removed, new questions added, and ambiguous or erroneous questions revised ➤ CritPt v2: a private, 40-question hard subset of CritPt v2, revised by the CritPt authors and run with a code-execution tool Staying in the Index: AA-Briefcase, AutomationBench-AA, GDP.pdf and Terminal-Bench 4.0 Removed from the Index: GDPval-AA v2.1, SciCode, and AA-LCR v1.1 Key results: ➤ Claude Opus 5.5 (max) leads at 58, ahead of GPT-6 Astra (max, 57) and GPT-6.1 Sol (max, 55): Anthropic and OpenAI hold the top five models. Gemini 4 Argon (high) is next at 50 ➤ The open weights gap widens from 3 points to 12: Kimi K3.1 Pro (weights not yet released) is the top open weights model at 46. Among released weights, DeepSeek V4.1 Flash 1017 (max) and GLM-5.3 (max) lead at 32 - 26 points behind the leader and below Claude Haiku 5.5 (max, 36) ➤ Cost per task varies by more than 13x among the leading models: of the 10 highest-scoring models shown, GPT-6.1 Terra (max) is the cheapest at $0.96 per Intelligence Index task and Claude Fable 5.1 (max) the most expensive at $13.04
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how does openai have that much money, talent, and compute and still manage to get its ass kicked this hard??? this level of fumbling needs to be studied.
this is beyond insane. how are people not losing their minds over this???
there’s a third type: those who somehow manage to do neither.
i think we’re entering an era where the size of your team matters a lot less than the quality of your ideas and your ability to execute them. one extraordinarily driven person with powerful ai could accomplish things that previously required entire organizations. that’s an incredible shift.
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holy shit. one guy, claude, and 11 external labs. and somehow that was enough to take a potential treatment from an idea to promising results in mice in less than 18 months. we’re living in a completely different world now.
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holy shit. one guy, claude, and 11 external labs. and somehow that was enough to take a potential treatment from an idea to promising results in mice in less than 18 months. we’re living in a completely different world now.
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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.
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we might be one model release away from ai matching human researchers at developing better ai.
Kimi K3.1 Pro is now the best open-weight model at training other AI models. But it’s still far behind Opus 5.5 at every budget. New FrontierML results, our benchmark for end-to-end ML work ⬇️
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china is catching up. to what, exactly? because on frontiercode 2, openai and anthropic seem to have forgotten everyone else exists.
the top 20 models on FrontierCode 2 it's actually hilarious it's all OpenAI and Anthropic + Grok 4.7 xhigh at #20# DeepSeek V4.1 Flash 1017 max is rank 52 but yeah totally, china is catching up and we are all doomed
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google deepmind just dropped genie 4 and what the fuck you can literally step into an ai-generated world, move around, change things with a prompt, and watch the entire environment react. it even generates the sounds and conversations as you go. this is absurd.
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This is Genie 4, our most realistic and interactive world model yet. 🌐 Explore dynamic environments in real time to see how the scene responds, sounds, and how the people in it move, react, and speak.
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