Anthropic had the most powerful cyber-security model in the history of this world and their internal code based still leaked? We should assume everyone can be compromised, and build systems that keep the cost of attacking higher than the reward, limit blast radius when attacks succeed, create fast repair loops after weaknesses are found and reduce systemic risk. Open-source will play a major role in all of that!
RESEARCH
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Real-World Multi-Step Workflows Beyond Isolated Agent Benchmarks
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The agentic benchmarks are interesting but I want to see how it performs on real multi-step workflows not just isolated tasks
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Major News Sites Undercover Claude Mythos Release Coverage
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Think about it. None of the major newspapers have given Claude Mythos a prominent mention/Top Placement on their websites. We live in an AI ivory tower; 99% of people don't know what was published yesterday. They don't know what's coming. That's why our work is so important. Shakeel (@ShakeelHashim) The Anthropic Mythos release does not appear near the top of the homepage on any major news site today. The NYT is closest, but it's still pretty far down. The Guardian thinks a Vogue cover with Anna Wintour and Meryl Streep is more important. The Washington Post is prioritizing yet another "we tried to get into Berghain" story. The media is not adequately covering the insane moment we are in. — https://nitter.net/ShakeelHashim/status/2041829164894871584#m
→ View original post on X — @kimmonismus, 2026-04-08 14:04 UTC
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GLM-5.1 Real-World Usability Compared to GLM-5
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There is no reason to believe that they made GLM-5.1 worse than GLM-5 in real-world usability?
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GLM-5.1 Active Parameters Comparison with DeepSeek V3.2
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GLM-5.1 has 40B active parameters per token versus 37B in DeepSeek V3.2, so that can't be it.
Regarding quantization, sure, but quantization general technique that could also be applied similarly to DeepSeek V3.2. -
Questioning embedding size and code optimization explanations
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Interesting. Is there an explanation for this? I mean the embedding size is smaller but that's probably hardly it? So more like a code optimization?
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GLM-5.1: New Flagship Open-Weight Model with Superior Benchmarks
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Strong release! GLM-5.1 is a DeepSeek-V3.2-like architecture (including MLA and DeepSeek Sparse Attention) but with more layers. And the benchmarks look better throughout! Looks like THE flagship open-weight model now.
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AI in Drug Discovery and Clinical Trials: Rev Philadelphia
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One day. One room. Speakers from @GSK
, @bmsnews and beyond sharing how they're scaling AI in drug discovery, clinical trials, and regulated deployments. Rev Philadelphia is built for life sciences leaders. See the speakers and secure your seat: https://
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Dario Amodei statements misrepresented lacking proper context
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Habitualmente las declaraciones de Dario Amodei del año pasado se comparten apropiadamente cortadas para restarle contexto y que parezca que dice que el programador humano no será necesario en 6 meses.
— Carlos Santana (@DotCSV) 8 avril 2026
Cuando escuchas un poco más allá lo que dice, te das cuenta de que realmente… https://t.co/wdx6z3HXbFHabitualmente las declaraciones de Dario Amodei del año pasado se comparten apropiadamente cortadas para restarle contexto y que parezca que dice que el programador humano no será necesario en 6 meses. Cuando escuchas un poco más allá lo que dice, te das cuenta de que realmente
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From Agent-1 to Superintelligence: AI 2027 Scenario Analysis
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From Agent-1 to Superintelligence: Decoding the AI 2027 Scenario and Its Profound Implications Check out my article: linkedin.com/pulse/from-agen… Via @ingliguori #AI2027 #FutureTech
→ View original post on X — @ingliguori, 2026-04-08 12:17 UTC