
Knut Jägersberg
@JagersbergKnut
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Content Strategy & AI #@knutjaegersberg.bsky.social #@[email protected] https://t.co/xnBUK02hWS
Gronau, Germany
Joined June 2018
🚨 Remember Andrew Tulloch, who was rumored to have rejected a $1.5B offer from Meta two months ago? According to WSJ latest news, he’s now joining Meta. Imagine how much they must have paid him this time?
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interesting. I'd rather guess the idea is to absorb the competencies into Schwarz group than try to catch up with Mistral, I'd prefer the latter. anyways, so far it's pretty much a failure. Now OpenAI does offerings to German public sector too. https://t.co/Txejg5DtMx
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came back from the doctor my shrimp posture caused me to develop median arcuate ligament syndrome (MALS), which leads to terrible abdominal pain straighten up, pls
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Commission launches two strategies to speed up AI uptake in European industry and science https://t.co/wQbpYzSOwx My honest opinion is that there is no real plan an detailed strategy at the moment. It looks like they do not have an idea what to improve and whar are the weakest
ec.europa.eu
Today, the European Commission set out two strategies to ensure Europe stays ahead, driving adoption in key industries and putting Europe at the forefront of AI-driven science. The Apply AI Strategy...
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A neat and elegant idea from @seohong_park & Deepinder Mann: represent a state by distances to other states (i.e., how easy it is to reach other states). This provides a representation for goal-conditioned RL that ends up working very well!
Introducing *dual representations*! tl;dr: We represent a state by the "set of similarities" to all other states. This dual perspective has lots of nice properties and practical benefits in RL. Blog post: https://t.co/lw1PortD9E Paper: https://t.co/zYKFjyOy7C ↓
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Your plumber has a new favorite tool: ChatGPT @bimedotcom @Khulood_Almani @theomitsa @sulefati7 @NathaliaLeHen @IanLJones98 @rvp @bamitav @TheAIObserverX
https://t.co/KHPEtXadll
edition.cnn.com
The roughly 20 plumbers of Oak Creek Plumbing & Remodeling in the Milwaukee, Wisconsin area don’t just bring toolkits with wrenches, pliers and Teflon tape to customers’ homes these days. They also...
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🇩🇪 German drone manufacturer Quantum Systems presented its Jäger Interceptor-UAV to the public. The drone has a maximum operational altitude of 5km, a speed of up to 405km/h, a range of 25km and a 0,8kg warhead. The drone also features a solid feul rocket booster that is meant
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Hey friends💙💛 I wrote and published my new book about Donbas. It’s the most personal thing I’ve ever done. A story of childhood in a gray, forgotten city. Of coal dust, broken glass, silence and strength. Of how the war begar Long before the full-scale invasion. And how I
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Are LLMs Bitter Lesson Pilled? - Sutton Interview @bimedotcom @Khulood_Almani @theomitsa @sulefati7 @NathaliaLeHen @IanLJones98 @rvp @bamitav @TheAIObserverX
https://t.co/tVP2XWar9n
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Nice application of video model as world model for robotics: generate human action video from start frame and translate to robot trajectory. Should work for full-body with humanoids and LEGO skills for human-like hand end-effectors. ;-)
🤖What if a robot could perform a new task just from a natural language command, with zero demonstrations? Our new work, NovaFlow, makes it possible! We use pre-trained video generative model to create a video of the task, then translate it into a plan for real-world robot
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Innovative Neurosymbolic Architecture Change in RWKV-8 ROSA - RNN LLM @bimedotcom @Khulood_Almani @theomitsa @sulefati7 @NathaliaLeHen @IanLJones98 @rvp @bamitav @TheAIObserverX
RWKV-8 ROSA 🌹 mechanism: neurosymbolic infinite-range lossless information propagator beyond attention, enabling LLMs to invent their own inner monologue languages. First step towards scalable post-neural methods, for a new era in AI 🌌
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@JagersbergKnut @chidambara09
@RLDI_Lamy @KevinClarity @nikos_kafritsas
@Analytics_699 @_deus__machina @bimedotcom
@HLStockenstrom @mikeflache @NathaliaLeHen
@enilev @EstelaMandela @Shi4Tech @KevinClarity @sulefati7 @Khulood_Almani SMART IDEA FOR LLM Memory!
https://t.co/etaHtVYTcc Artificial Hippocampus Networks for Efficient Long-Context Modeling
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@JagersbergKnut @chidambara09
@RLDI_Lamy @KevinClarity @nikos_kafritsas
@Analytics_699 @_deus__machina @bimedotcom
@HLStockenstrom @mikeflache @NathaliaLeHen
@enilev @EstelaMandela @Shi4Tech @KevinClarity @sulefati7 @Khulood_Almani
The Agentic AI Breakthrough: This ‘Modular Brain’ LLM Finally Learns to Plan by @_ninza7
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@JagersbergKnut @chidambara09
@RLDI_Lamy @KevinClarity @nikos_kafritsas
@Analytics_699 @_deus__machina @bimedotcom
@HLStockenstrom @mikeflache @NathaliaLeHen
@enilev @EstelaMandela @Shi4Tech @KevinClarity @sulefati7 @Khulood_Almani
🚨As LLMs get smarter, they’re forgetting how to say I don’t know. 👉New data show medical disclaimers have nearly disappeared—not because the models are safer, but because confidence outperformed caution in the training loop. https://t.co/lXeNFOH2DJ
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💥 A breathtaking robotics moment 🤖 A woman walked again thanks to a robotic exoskeleton from the French company 🇫🇷 Wandercraft ⮕ a breakthrough restoring movement for millions Born from humans ➤ Made for humans🫶✨ 💥 لحظة مدهشة في عالم الروبوتات 🤖 امرأة تمكن من السير على
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This is freaking cool: AI research has reached an inflection point. RISA-1 by @RadicalNumerics introduces an engineered framework for recursive self-improvement - combining agents, human oversight, and full observability to accelerate AI development. A structured approach to AI
Introducing RND1, the most powerful base diffusion language model (DLM) to date. RND1 (Radical Numerics Diffusion) is an experimental DLM with 30B params (3B active) with a sparse MoE architecture. We are making it open source, releasing weights, training details, and code to
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We're sharing the insights and the technical report behind Mem-Agent, our 4B model for persistent memory in LLMs. How we built it, the benchmarks, and why it works:
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in a while, having public repositories of human knowledge like annas archive will be a human right, copyright regarded as primitive way to organize incentives around creation.
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Introducing linear scaling of reasoning: 𝐓𝐡𝐞 𝐌𝐚𝐫𝐤𝐨𝐯𝐢𝐚𝐧 𝐓𝐡𝐢𝐧𝐤𝐞𝐫 Reformulate RL so thinking scales 𝐎(𝐧) 𝐜𝐨𝐦𝐩𝐮𝐭𝐞, not O(n^2), with O(1) 𝐦𝐞𝐦𝐨𝐫𝐲, architecture-agnostic. Train R1-1.5B into a markovian thinker with 96K thought budget, ~2X accuracy 🧵
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