Andrew Sellergren

153 posts

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Andrew Sellergren

Andrew Sellergren

@asellerg

Triathlete | Coach | Software Engineer @Google

Katılım Temmuz 2009
157 Takip Edilen203 Takipçiler
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Andrew Sellergren
Andrew Sellergren@asellerg·
@mattshumer_ "Anyone still making that argument either hasn't used the current models, has an incentive to downplay what's happening..." Unlike you and Dario who definitely don't have the incentive play up the hype? The last time you went viral it was also overhyping x.com/tedx_ai/status…
Ted Werbel@tedx_ai

For anyone wondering what happened, here's a quick recap of the Reflection 70b drama: > Matt Schumer, CEO of HyperWriteAI & OthersideAI, published a model onto HuggingFace and claimed that it had reached higher scores in various benchmarks which would have made his smaller, open source model more capable that some of the biggest models on the market > Tons of AI researchers, influencers, academics and executives start promoting this all over the web. Integration with OpenRouter goes live. Matt gains ~14k new followers on X and promotes his brands + a synthetic data generation tool that he's invested in. > Attempts to replicate benchmarks failed miserably - performing worse than many existing models. Matt suggests that this is a glitch, then says he's retraining the model and then goes silent as real AI engineers on X begin dismantling his claims by analyzing the tokenizer (reference the image and links below) So what did Matt do?! > He probably wrapped an Anthropic model into an API endpoint and filtered out strings such as 'claude' which would reveal the original source model. > This was all likely a marketing stunt to increase his follower count and promote businesses he owns or has invested in... > If this is true, he actually thought he'd get away with it and that no one would test his claims! Perhaps greed and delusions of grandeur have gotten the best of him.. Only time will tell if he can redeem himself and his reputation. Regardless of the outcome, one thing is clear - WE NEED BETTER BENCHMARKS FOR MODELS AND AGENTS! x.com/intervitens/st…

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PGT@PokerGOTour·
Final table set for PGT Mixed Games Event #6: $15,800 Dealer's Choice! Yuri Dzivielevski has the chip lead and is looking to secure back-to-back titles. Seat 1: Chad Eveslage - 705,000 Seat 2: @BrynKenney - 1,830,000 Seat 3: @angryjmonnett - 285,000 Seat 4: @YuriNerdguy - 2,690,000 Seat 5: Qinghai Pan - 1,710,000 Seat 6: Johannes Becker - 585,000 Seat 7: @Dweisman13 - 780,000 🏆 $273,600 🔒 $34,200 They'll return Tuesday to the @PokerGO Studio to finish it out.
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Google AI
Google AI@GoogleAI·
This week, we released a pair of Gemma updates that developers can use to innovate across the healthcare and translation spaces: — MedGemma 1.5 4B: Our updated open medical AI model improves performance in 3D imaging and reasoning over medical records. We also kicked off the MedGemma Impact Challenge on @Kaggle to inspire development of AI applications that can help patients — TranslateGemma: This collection of multimodal open translation models is built on Gemma 3 and enables developers to build translation tools across 55 language pairs. The models are efficiently compact (available in 4B, 12B, and 27B parameter sizes), achieving high-fidelity translation quality with lower latency You can access both Gemma models on @huggingface, MedGemma on Vertex AI, and TranslateGemma on Kaggle. To learn more about Gemma and our latest breakthroughs from @GoogleDeepMind, visit deepmind.google!
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Kaggle
Kaggle@kaggle·
📣 Hackathon Launch Alert! MedGemma Impact Challenge hosted by @GoogleResearch 🎯Build human-centered AI applications by using MedGemma and other open models 💰 $100,000 Prize Pool ⏰ Final Submission: Feb 24, 2026 kaggle.com/competitions/m…
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Dr. Javier Flores
Dr. Javier Flores@farmacotips·
“Esta IA acabará con los imagenologos” Interpreta TAC, RM e histopatología, cruza hallazgos con el contexto clínico y reportes de laboratorio, y razona en términos de enfermedad, no de pixeles. Si, es el fin, pero del imagenologo saturado. MedGemma es el futuro de la medicina.
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𝔸𝕦𝕝𝕒𝕤 𝕀𝕟𝕥𝕖𝕝𝕚𝕘𝕖𝕟𝕥𝕖𝕤
Google lanza MedGemma 1.5 (4B), un LLM open para interpretar imágenes médicas CT, MRI e histopatología, además de RX, dermatologí, fondo de ojo…) con burnos resultados. Y lo acompaña además con MedASR, un modelo abierto de speech-to-text clínico (dictado médico).+
𝔸𝕦𝕝𝕒𝕤 𝕀𝕟𝕥𝕖𝕝𝕚𝕘𝕖𝕟𝕥𝕖𝕤 tweet media𝔸𝕦𝕝𝕒𝕤 𝕀𝕟𝕥𝕖𝕝𝕚𝕘𝕖𝕟𝕥𝕖𝕤 tweet media𝔸𝕦𝕝𝕒𝕤 𝕀𝕟𝕥𝕖𝕝𝕚𝕘𝕖𝕟𝕥𝕖𝕤 tweet media𝔸𝕦𝕝𝕒𝕤 𝕀𝕟𝕥𝕖𝕝𝕚𝕘𝕖𝕟𝕥𝕖𝕤 tweet media
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Omar Sanseviero
Omar Sanseviero@osanseviero·
Introducing the MedGemma Impact Challenge Use MedGemma and other open models to build human-centered applications in the medical space. Over $100k in prizes. Time to build. kaggle.com/competitions/m…
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Jeff Dean
Jeff Dean@JeffDean·
An updated version of our MedGemma model is out with major accuracy improvements in medical-related tasks. We also released MedASR, which specialized for low error rates for medical speech recognition. We're excited to see what the health community does with these models! 🩺
Omar Sanseviero@osanseviero

Introducing MedGemma 1.5, an open-access model for multimodal medical use cases It expands the tasks and data formats it can understand (high-dimensional medical imaging, EHRs, anatomical localization with bounding boxes, etc) research.google/blog/next-gene…

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Rohan Paul
Rohan Paul@rohanpaul_ai·
@sundarpichai Google is on a serious roll right now.
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Sundar Pichai
Sundar Pichai@sundarpichai·
MedGemma 1.5 is a major upgrade to our open models for healthcare developers. The new 4B model enables developers to build applications that natively interpret full 3D scans (CTs, MRIs) with high efficiency - a first, we believe, for an open medical generalist model. MedGemma 1.5 also pairs well with MedASR, our speech-to-text model fine-tuned for highly accurate medical dictation. Developers can now use these multimodal capabilities to build medical apps that reach patients in more places.
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Google AI Developers
Google AI Developers@googleaidevs·
Announcing MedGemma 1.5 🩺 This updated open model from @GoogleResearch is small enough to run offline, improves performance on medical imaging use cases, and enhances core capabilities for text, medical records and 2D images. research.google/blog/next-gene…
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Budden
Budden@davidmbudden·
@PedrusMaximus33 I like these guys, so let's work through their references instead (if this doesn't make my point, that's a you-problem)
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Budden
Budden@davidmbudden·
I really don't know why this needs saying, but can we all stop pretending a buggy line of math proof is inherently more catastrophic than a buggy line of code? Sure. Some are. I would wager (metaphorically!!!!) the median published math paper has > 0 bugs. Without invalidating.
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Andrew Sellergren
Andrew Sellergren@asellerg·
1.6 dE/dt ≤ (2 − A)ΩE. "When A > 1, palinstrophy growth dominates stretching for large Ω, forcing energy depletion near any potential singularity." How is energy depleted if dE/dt is > 0 (when A = 1.234). At best, you've established a bound on energy growth, but not demonstrated that it is depleted.
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Budden
Budden@davidmbudden·
Sonnet 4.5 > Opus 4.5 for working with nontrivial files and codebases. I said it. Sometimes you need an engineer and not a philosopher.
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Nikita Bier
Nikita Bier@nikitabier·
@miragemunny People with >10 drafts: 0.00072% of DAU This would be the worst engineering-to-impact ratio in the known universe. Better thing I’d like to solve: why aren’t you just posting those drafts when inspiration strikes?
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𝖒𝖎𝖗𝖆𝖌𝖊
𝖒𝖎𝖗𝖆𝖌𝖊@miragemunny·
hear me out @nikitabier— add a “search” feature within the ‘drafts’ tab, so i can search for key-words in my drafts instead of scrolling through hundreds of them to find the draft i am looking for thank you for your attention to this matter
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Andrew Sellergren
Andrew Sellergren@asellerg·
He claims to have uploaded the paper to arXiv by the deadline last night but it won't get through their review system for a few days because of the holidays. He also promised to upload the e2e Lean by last night at midnight but said he was running into lint errors (which looked more like the proof actually being rejected by Lean) so pushed it to 2 AM. Then nothing. So radio silence since then.
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Ethan Mollick
Ethan Mollick@emollick·
MedGemma is a really interesting model - very small, multimodal, open, and does quite well in out-of-distribution medical tasks compared to much larger models. Would love to see more work thinking about how to improve & deploy this sort of LLM to support medical professionals
Ethan Mollick tweet mediaEthan Mollick tweet mediaEthan Mollick tweet mediaEthan Mollick tweet media
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