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- Claude Fable 5.2 Launched for Advanced AI Tasks
Claude Fable 5.2 Launched for Advanced AI Tasks
1,000 AI Agents Solve a 350-Year-Old Theorem in 30 Hours. What's Next?
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Introducing Claude Fable 5.2 & Mythos 5.2 for Advanced AI Tasks
1,000+ Proven ChatGPT Prompts That Help You Work 10X Faster
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DeepMind AI Finds Two Exploitable Flaws in Legacy RSA-1024 — Modern Crypto Unaffected : Google DeepMind researchers, working alongside human cryptanalysts, identified two weaknesses in legacy 1024-bit RSA implementations: one that speeds up forging older digital signatures, and one that lowers the cost of bulk key-factoring by exploiting unpadded signing. The lab attack required roughly 4 billion signing requests over seven days. RSA-2048 — the current standard — is not at risk. The practical concern is that RSA-1024 remains in use for DNSSEC top-level domain keys, roughly a third of sampled DKIM email domains, and some TLS and OAuth deployments.
Agility Robotics Begins Trading as AGLT — First US Humanoid Robotics Public Company : Agility Robotics went public on Nasdaq under the ticker AGLT on Wednesday, making it the first US-listed pure-play humanoid robotics company with commercial deployments. The SPAC merger with Churchill Capital Corp XI was approved by over 84% of shareholders, raising $465 million at a $2.5 billion pre-money valuation — with $201 million led by Foxconn. Agility's Digit 4 robots are deployed at nine facilities including GXO, Agco, and Toyota. The Digit 5, billed as a "cooperatively safe humanoid.
NVIDIA Releases Cosmos 3 and VFlash — 12× Faster Robot Trajectory Decoding : NVIDIA released Cosmos 3, a multimodal world model combining 3D spatial understanding, language, and visual perception for robots and autonomous vehicles, alongside four open-weight variants with 16B trainable parameters each. Boston Dynamics and Waymo are among the early-access partners. Separately, VFlash — NVIDIA's new geometric prediction system — generates robot trajectories in parallel rather than sequentially, 61% lower 3D prediction error, and roughly 80% lower latency on Jetson Thor and DGX Spark hardware.
AI NEWS HIGHLIGHT
PSI Claims AI Proved the Aaronson-Ambainis Conjecture — Physical Superintelligence says a non-public Anthropic model proved this major quantum complexity conjecture, with the proof verified in Lean.
SpaceX Plans Orbital AI Computing Launch in 2027 — StarMind SI orbital computing systems, built on NVIDIA's Vera Rubin NVL72, are slated for 2027 launch. Musk says Starlink V4 satellites will offer 10× the capacity of prior generations.
AWS SageMaker Now Supports NVIDIA Multi-Instance GPU — SageMaker Inference endpoints can now partition one GPU to serve multiple isolated models simultaneously, adding ~17 seconds to provisioning but meaningfully reducing inference costs at scale.
Peru Publishes National AI Strategy 2026–2030 — The country joins a growing list of Latin American nations formalizing AI governance frameworks, as UNESCO rolls out its Data Governance Toolkit for the region in Spanish.
Thinking Machines' Inkling 2 Small Apache 2.0 Release Coming Next Week — The 594B-parameter MoE model is currently on Tinker with closed weights; open-weight Apache 2.0 release is expected within days after external safety review completion.
Arizona Rep. Formally Proposes Superintelligence Moratorium — The first federal-level AI development pause proposal following the midterms, introduced by Rep. Yassamin Ansari, frames ASI development as requiring a legislative pause before further advancement.
1,000 AI Agents Solve a 350-Year-Old Theorem in 30 Hours. What's Next?
Anthropic's Fermat's Last Theorem demo isn't just a party trick — it's a signal about what orchestrated multi-agent AI looks like at scale. The same architecture that formalized a centuries-old mathematical proof can be pointed at your hardest problems: code review backlogs, security vulnerability sweeps, research synthesis, compliance checks. These prompts help you think through what a 100-agent workflow would actually look like inside your organization — before your competitors have already built it.
Ask your AI
1. Design a multi-agent workflow for my team's highest-volume repetitive task — where one orchestrator agent breaks the problem into parallel sub-tasks, 10–50 worker agents execute them simultaneously, and a reviewer agent checks outputs for consistency. Map the specific roles, the handoff protocol, and where human review should be inserted versus automated.
2. Given that Claude Fable 5.2 now matches the previous generation's top performance at roughly half the cost per task, recalculate the ROI on the AI use cases we've been deferring as "too expensive." For each use case I describe, estimate the new cost per unit of output and whether it now crosses into economically viable territory.
3. Write a security checklist for teams using Claude Code or any AI coding assistant that handles cloud credentials or API keys: what to audit in existing repos, how to configure .gitignore and secret scanning to catch exposed keys, and what a 30-minute remediation sprint looks like if you find live credentials in public commits.TOP TRENDING AI TOOLS
Frontier Models
Claude Fable 5.2 — New: $8/$40 per million tokens (20% cheaper than 5.1), Fast mode at $16/$80 for 2.5× speed; best available for ambitious agentic and research workloads on AWS, Google Cloud, Azure.
Meta Muse Ember — $0.10/$0.50 per million tokens, 1M context, text/image/audio/video; 37.8% on AutomationBench-AA, nearly double Haiku 5.5. The new cost floor for capable multimodal inference.
Meituan LongCat-2.5 — MIT license, 1.6T params / 48B active, 88.4 Terminal Bench v2.1, $0.30/$1.20 hosted. The strongest open-weight coding model available today.
NVIDIA GR00T 2 — 2B-parameter robotics foundation model; 71% average task success from one demo, 40/50 tasks zero-shot. Weights ship December 2026.
Security & Infra
Google TPU 8tx + 8i Max — Confidential computing for AI inference (8tx with AMD EPYC SEV) and doubled long-context throughput (8i Max). Now in Cloud Hypercomputer.
CrowdStrike Falcon Guardian — AI agent kill switch in production; also acquiring Fiddler AI for agent behavior monitoring. The closest thing to a security perimeter for autonomous AI processes.
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