Eden. (@ChrisAIxIQ) header
Eden. (@ChrisAIxIQ) profile picture

Investor, founder-operator. Shaped AI & tech companies that have made & raised $100,000,000s. Also @arsenal fan, @ast_arsenal member.

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Joined May 2009
Photo by Eden. (@ChrisAIxIQ)Photo by Eden. (@ChrisAIxIQ)Photo by Eden. (@ChrisAIxIQ)Photo by Eden. (@ChrisAIxIQ)Photo by Eden. (@ChrisAIxIQ)Photo by Eden. (@ChrisAIxIQ)Photo by Eden. (@ChrisAIxIQ)Photo by Eden. (@ChrisAIxIQ)Photo by Eden. (@ChrisAIxIQ)Photo by Eden. (@ChrisAIxIQ)
It blows my mind that, although compound interest appears in GCSE maths, most UK kids still leave school without any real sense of how it grows wealth in the real world. I’ve set up Junior ISAs for my kids. When they reach the right age we’ll grab lunch once a month, review a few stocks or ETFs, debate the merits and - crucially - they make the final call. By 18 they’ll understand the compounding game first-hand. Why isn’t this kind of practical compounding literacy mandatory in every school? Small gains in early asset allocation dwarf many other life-skills in lifetime-wage terms. @RachelReevesMP has floated measures to shift more savings from Cash ISAs to Stocks & Shares ISAs, and @MartinSLewis has a solid “starter investments ISA” idea. Surely giving kids a working knowledge of this simple concept would be the real catalyst. If U.K. financial or investor professionals / influencers like @MartinSLewis @StevenBartlett @HarryStebbings were up for recording a handful of shorts that could be shown in business / personal finance classes that would surely move the needle… 🤔
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Prime Intellect just dropped their new agent harness, and this thing looks crazy. It's called Prime Agent, and it's basically Hermes on steroids. → Rewrites its own prompts, memory, and skills mid-task via /refine (not just after a task finishes like Hermes) → Subagents persist after finishing and can message each other directly → Model-agnostic: works with Opus 5, GPT-5.6 Sol, or open-weight models like GLM/Kimi → Scored 95.5% on ARC-AGI-3 with Opus 5, above the human expert baseline → Uses fewer tokens than native harnesses Terminal install command to get started: curl -fsSL app.primeintellect.ai/prime-… | sh
Introducing Prime Agent: A self-improving RLM harness for coding and long-running autonomous tasks. Designed to be both token-efficient and expressive through programmatic tool calling, context as a variable, multi-agent messaging, and a self-modifiable harness state.
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Eden. retweeted
It was a big mistake attacking Sid, cancer. You created a very dangerous enemy.
Introducing Omanta (YC S26) the personalized research lab for each patient. Omanta integrates a patient's full medical record, personal genomics, and the latest scientific evidence to understand the molecular drivers of their disease. It maps existing and emerging therapies against their biology. And when the right treatment doesn't exist yet, it launches a personalized campaign to build it. Even the hardest cases rarely have a team dedicated to solving them. Physicians make high-stakes calls with limited time, while data and therapies emerge every week. Science moves fast, but reaching the patient can take years. That's the gap Omanta was built to close. Founders Alfredo Gonzalez, PhD and Ranad Humeidi, PhD spent years on some of the most difficult cancer cases. Alfredo led the personalized therapeutic campaign behind Sid Sijbrandij's complete remission. Together they've worked with leading institutions on personalized vaccines, CAR-T, drug repurposing, expanded access, and continuous molecular monitoring. They've seen what becomes possible when the full force of modern science is organized around one person. They met eight years ago doing early CRISPR cancer research at the Broad Institute of MIT and Harvard. Alfredo Gonzalez (CEO) has a PhD in bioinformatics from UCLA and led research projects across the Broad Institute, UCLA, and Harvard. Ranad Humeidi (CSO) has a PhD in chemical biology from Harvard, and has built and run rare-cancer programs for individual patients when standard options ran out. omanta.com A research lab, for one. Linked-in: bit.ly/omanta-linkedin YC Launch: bit.ly/omanta-yc
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BREAKING: UK AI Chip start-up Olix raises $312M at $3.3B valuation.
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Statement on behalf of UEFA and its 55 National Associations

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Open models are the competitive edge. If the U.S. doesn’t lead in open, it won’t lead at all.
NVIDIA, Palantir, Replit, Microsoft, Crowdstrike, Dell and others send a strong message to congress to keep open access to open weights models. "Our AI leadership will be judged not by one frontier AI model, but whether the United States builds a strong, open ecosystem that diffuses into every sector." "Open weights also strengthen competition and competition is what keeps the gains of AI broadly shared rather than concentrated in a few hands." "Openness may be one of the most important paths to AI safety and security."
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For my first post, I’m sharing a letter @NVIDIA signed on why open models matter. AI will transform every industry, power every company, and be built by every country. Open models strengthen safety and cybersecurity, accelerate innovation and diffusion, and enable sovereignty. The world needs both frontier closed models and frontier open models. images.nvidia.com/pdf/Open-W…
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The UK is producing unicorns in robotics, chips, frontier AI, and defence. Unthinkable 5 years ago. LETS GO
Today, we're announcing that we’ve raised $152 million in our Series A at a $1.35 billion post-money valuation, becoming Europe's first pure-play humanoid robotics unicorn just two years after founding. This funding brings the total raised to date to $270 million. The round was led by @PrimeMoversLab, with participation from @SchaefflerGroup, @BoschGlobal, Fubon Financial Holding Venture Capital, and Aglaé Ventures. The capital will support development and launch of the next-generation humanoid robot platform, the roll-out of Beta version in Q4 2026, start of mass manufacturing of wheel-based robots and the continued development of KinetIQ, our AI brain. Humanoid's valuation reflects rapid execution and the technology's shift from research to commercial deployment, demonstrating that Europe can build and scale globally competitive Physical AI companies. Read more here: thehumanoid.ai/humanoid-rais…
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Hey @AndyBurnhamGM please if you're looking at CGT consider not making the UK the worst place to exit a business as an entrepreneur. Entrepreneurs relief is basically non existent now and CGT changes will massively change the startup investment ecosystem in the UK. Don't give good founders another reason to move to SF please. Happy to discuss anytime if you'd like. – at Over Norton, England
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Oh my.
Unreal Engine 5.8 ships today with experimental MCP server support: Your sources, your pipeline and your workflow—simply configure the MCP plugin and connect to any agent. Get familiar with the MCP server and the PCG Primitive Plugin today and see what teams can build together: epic.gm/ue-5-8-blog
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So who’s the next Elon Musk?
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The funniest thing about this AI era is watching people rock up to meetings and be surprised by what’s in their own presentation.
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World’s first trillionaire created tomorrow ⏳ …still think @elonmusk might be a Culture Special Circumstances agent.
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I’m conflicted on this tbh. Capture strategies usually enrich the incumbent.. This one got the incumbent blacklisted and cost it billions. At what point do we just go with Occam’s Razor: they actually believe it?
About 8 months ago, I warned that “Anthropic is running a sophisticated regulatory capture strategy based on fear-mongering.” This take was controversial at the time; now look how many people are saying it.
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Who are the top AI startups in NYC right now?
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AI startup CFO, CEO, CMO, and CTO
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Eden. retweeted
Asked a question so dangerous they sent my ass to haiku
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I need to see a side-by-side of Agentic Looping vs “legacy” (😏) Agentic coding with HITL. Compare: Time taken Tokens used End product My intuition says looping would be less time, more tokens, inferior end product - but I want to be disproven on this.
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Eden. retweeted
Replying to @cmbftbl
Gyökeres led the line to the Title & was key to our UCL run to the final. Poor 1st half of the season, strong 2nd half. Despite the difficult start, first player since Alexis Sanchez to score 20+ goals in debut season. Leads the press, insane work rate, stretches defenders, forces central double-ups with CBs. And clearly improved his link up play and connection to the team in the past few months. It’s a 7/10 or 7.5/10 debut season. For me Kai & Gyok should duel it out, both invaluable for different types of opponent, both can add something starting / finishing. Kai probably gets the nod to start in 60% of games but given we play 60-65 games per season I’d say we’re lucky to have them both. And if we bring in someone like Rogers, a player like Gyok is a huge beneficiary. Obvs that’s all my opinion & I like Gyok clearly (I know everyone doesn’t share this opinion!) so I’m interested - why are you so concerned with Gyok?
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I need to see a side-by-side of Agentic Looping vs “legacy” (😏) Agentic coding with HITL. Compare: Time taken Tokens used End product My intuition says looping would be less time, more tokens, inferior end product - but I want to be disproven on this.
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Ødegaard with a lovely finish there for Norway 🇳🇴 Arsenal players have started well in their WC warm up games ❤️
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