Sean Ward (@DNAEngineer) profile picture

CEO & Co-founder @iGent_AI. Previously Founder @synthace, Relatable, Scale DX

London
Joined March 2011
Photo by Sean Ward (@DNAEngineer)Photo by Sean Ward (@DNAEngineer)Photo by Sean Ward (@DNAEngineer)Photo by Sean Ward (@DNAEngineer)Photo by Sean Ward (@DNAEngineer)Photo by Sean Ward (@DNAEngineer)Photo by Sean Ward (@DNAEngineer)Photo by Sean Ward (@DNAEngineer)Photo by Sean Ward (@DNAEngineer)Photo by Sean Ward (@DNAEngineer)
Post-quantum encryption and RSA. The hardness numbers next to both are the cheapest attacks anyone has written down. They are not the cheapest attacks those methods themselves allow. We computed the second number for both. We did not break either.
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Certified means an exact certificate and a second checker. Everything else is labelled. If a certified claim cannot be rebuilt from the repo, that is a bug.
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Maestro (our research agent for problems measured in man decades and centuries) and I wrote them in five days, on Claude Fable 5.1. @claudeai did not co-author it. Not yet externally reviewed.
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Sean Ward retweeted
Introducing Claude Opus 4.5: the best model in the world for coding, agents, and computer use. Opus 4.5 is a step forward in what AI systems can do, and a preview of larger changes to how work gets done.
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The world is rapidly bifurcating between those who have experienced the superhuman capabilities of even current generation models, used properly, and those stuck in the capabilities of the past.
We're excited to share that our agent, Maestro, drafted solutions to all 12 problems from ICPC 2025 World Finals in ~2 hours - using current models, no human involvement, no internet access. We deeply respect the human teams' extraordinary dedication. Note: no official validation
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It has become clear there is a massive performance and productivity delta growing between engineers who understand and embrace AI, with appropriate tooling and critical analysis, and those who have have remained in the co-pilot era. Never before has it been so possible for those who know what they are doing, to build so much.
Tired of toy AI demos that fizzle in production? iGentAI built Ferrous: A Rust Redis-compatible server outperforming Valkey. 35KLOC, 100% test passing, beats benchmarks. Zero human code. Built in 70 hours of part-time direction. Toys vs. tools—here's the proof.
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Sean Ward retweeted
Our VibeCodeBench evaluations affirm what @Anthropic just announced: Claude Sonnet 4 excels at autonomous multi-feature development. We've seen codebase navigation errors drop from 20% to near zero and strategic refactoring that saves ~500k tokens on multi stage, complex tasks. Proud to power Maestro with this breakthrough.
Introducing the next generation: Claude Opus 4 and Claude Sonnet 4. Claude Opus 4 is our most powerful model yet, and the world’s best coding model. Claude Sonnet 4 is a significant upgrade from its predecessor, delivering superior coding and reasoning.
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It's always great hosting @AITinkerers London meetups right after a new model drops... Huge thanks to @rebecca_harbeck from @AnthropicAI, as well as the @iGent_AI team @MSzummer and @samshapley for giving impromptu talks with tons of learnings from early access Claude Sonnet 3.7. We also got to see @HarryCoppock from the @AISecurityInst live demoing 3.7 hacking into a docker container 🫢 And as always, we had some fantastic product, behind-the-scenes and benchmark beating agent talks from Emma Burrows, @moeadham and Sergei Petrov. Huge thanks to team @localglobevc and @ferdisigona for making it happen!
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At @iGent_AI, we’ve found @AnthropicAI new Sonnet 3.7 to be quite the powerhouse. Everything from debugging multi language distributed systems, to comprehending and updating legacy codebases, to rapid prototypes or POCS of new technologies. Agentic SWE is now here.
"Agency > Intelligence" @karpathy nailed it, and after 18 months building Maestro, we agree. The real AI leap isn’t just smarts—it’s agency: the ability to act independently, turning assistants into partners.
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Hottest week for London AI so far 🔥 Dev Day yesterday and AI Tinkerers tonight! london.aitinkerers.org/p/ai-… @monzo @tortus_AI @_lucas_godfrey @QuotientAI @samshapley @lukeharries @stephenbtl
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In AI, the days are long but the years are short. Although some days are dog years…
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Interested in having access to multimodal GPT-4 to ask questions using vision as well as text? While @OpenAI has yet to make it available, it appears that you can access it today via @bing Chat. Requests that involve pdf papers can answer questions about figures and pictures
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How does this multimodal capability appear to work? An interesting differential is the reported token length of the retrieved pdf document. In contrast, the underlying text represents around 12k tokens.
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There is also clearly a deep semantic analysis taking place on the image content, such as understanding iconography and the contextual meaning of it for a given document
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