Gianluca Bacchiega @gbacchiega
Joined November 2009-
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Paper: https://arxiv. org/pdf/2506.01622
Scientists have developed Delphi-2M, an AI model that can forecast over 1,000 diseases years in advance using patient medical histories. Trained on the UK Biobank’s data of 500,000 participants, it applies the same underlying technology as chatbots like ChatGPT.
This is incredible
Testing out the new Helix walking controller. it’s unstoppable
The line between what's AI and what's real just got even more blurry... One shot image editing for realistic facial expressions is solved, thanks to the unreleased model in LMArena "nano banana" A comparison of the previous best image editing model (Kontext) vs this new SOTA…
Microsoft debuted CLIO, a framework that enables non-reasoning LLMs to develop their own steerable thought patterns On Humanity's Last Exam, it boosted GPT-4.1’s accuracy on text-only biomedical questions from 8.55% to 22.37%, beating o3 (high) x.com/MSFTResearch/s…
Microsoft debuted CLIO, a framework that enables non-reasoning LLMs to develop their own steerable thought patterns On Humanity's Last Exam, it boosted GPT-4.1’s accuracy on text-only biomedical questions from 8.55% to 22.37%, beating o3 (high) x.com/MSFTResearch/s… https://t.co/BFvcA9eIbp
If you are a photographer and or just a person who loves photography, this is the best time to try AI, It's like having any expensive camera in your pocket, you have so many options, Grok Imagine and Imagen V4 Ultra should be your choice, go take my prompts and have fun 🙏😬 {…
7. Runway introduces Aleph, a SOTA in-context video model setting new frontiers for multi-task visual generation. The model can add, remove, and transform objects in videos, generate new camera angles, and modify styles, all from a single input video.
1. Microsoft presents medical superintelligence Microsoft's LLM is not only designed for multiple-choice questions, but also for real medical diagnoses in realistic scenarios – and outperforms even top models such as o3. This is a bigger breakthrough than much of what we are…
🚀 Excited to share the most inspiring work I’ve been part of this year: "Learning to Reason without External Rewards" TL;DR: We show that LLMs can learn complex reasoning without access to ground-truth answers, simply by optimizing their own internal sense of confidence. 1/n
2/ GitHub just transformed Copilot into a fully-fledged coding agent
1/ Windows now natively supports MCP! Check it out:
here's a 5 minute CODEX 101 to help you understand WTF it is and why its going to completely disrupt sillicon valley (and the world) - ESPECIALLY IF YOU ARE A SOLO DEV/TEAM I'll be making a longer video soon but I just wanted to get this one out since people have been asking 🙏
🚨MODEL RELEASE! We're thrilled to announce our powerful, compact xGen-small model family, now available for the research community. 🤗Download xGen-Small model: bit.ly/3ZeEUCk Key highlights: ▶️ xGen-9B: highly competitive on long-context understanding up to 128K…
🚨 BREAKING: Google just launched a new internet protocol. It’s A2A. Backed by 50+ partners including Salesforce, Atlassian, and SAP. It’s designed to let AI agents collaborate across companies, platforms, and clouds. Here’s what it means for the future of enterprise AI: 🧵
Nvidia also shared two big developments for robotics: —GR00T N1: An open foundation model for training robots that can interpret their environment, reason, and act —Newton: An open physics engine to simulate robotic movements in the real world
1. Jensen just announced Newton, an open-source physics engine for robotics simulation developed by NVIDIA, Google DeepMind, and Disney Research.
In 3 to 6 months AI will write about 90% of all code. In about 12 months (1 year!) AI will write 100% of all code. That’s coming from Dario Amodei, CEO Anthropic. So year looking bad for several people and looking good for self-developing AI
AI has already begun to disrupt the entire scientific community. And it won't stop there. More and more scientists are realizing that they are replaceable. Humans are less unique than they believe. And especially in disciplines where there is a lot of text, AI is on the rise.…
AI has already begun to disrupt the entire scientific community. And it won't stop there. More and more scientists are realizing that they are replaceable. Humans are less unique than they believe. And especially in disciplines where there is a lot of text, AI is on the rise.… https://t.co/wLY7Eq55B4
The best leaders, like Satya, don't just execute behind closed doors. They bring others along on the journey. They make complex decisions feel simple and inevitable. Great leaders stay relevant by sharing their evolution & turning their insights into influence. As a result:
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