https://gnosly.com/feed/research/Business Intelligence Console and Prediction Algorithms3777@World_Data_AWorld Data Analysis<p>Source: World_Data_A (X)</p>https://x.com/World_Data_A/status/21172136202120028560.00102026-11-02T14:36:35.285865+00:002x.comresearchinvestmentseconomy3689https://pbs.twimg.com/media/HWHaeA4WsAAfO4b?format=jpg&name=smallImage2026-11-02T14:36:36.412346+00:003776@World_Data_AWorld Data Analysis<p><strong>A few interesting developments:</strong> </p><ul><li><strong>Israel</strong> remains the clear leader, increasing its R&amp;D spending from 3.85% to 6.76% of GDP. </li><li><strong>South Korea</strong> climbed from 3.18% to 5.13%, securing second place. </li><li><strong>China</strong> rose from 1.68% to 2.69%, moving closer to major advanced economies. </li><li><strong>The United States</strong> increased from 2.71% to 3.44%, overtaking Germany by 2024. </li><li><strong>Japan</strong> reached 3.62%, while 🇩🇪Germany stood at 3.13%. </li><li><strong>Türkiye</strong> nearly doubled its R&amp;D intensity, from 0.79% to 1.46%, although it remains below many OECD economies. </li></ul><p>The broader picture: R&amp;D investment intensity has risen across many economies, but the gaps between countries remain substantial. Note on data: OECD periodically revises historical data. Therefore, figures for the same year may differ from those shown in earlier versions of this chart or other publications. Countries without complete data for all three years were excluded. </p><p>NOTE: Figures represent gross domestic expenditure on R&amp;D (GERD) as a percentage of GDP, not total R&amp;D spending.</p>https://x.com/World_Data_A/status/21172053734341184760.00302026-11-02T14:28:44.509478+00:002x.comoecdresearchinvestmentseconomy3688https://pbs.twimg.com/media/HWHTDT8W8AEFJv6?format=jpg&name=smallImage2026-11-02T14:28:45.996945+00:003720@World_Data_AWorld Data Analysis<p>South Korea: Nearly 5% of GDP, up from around 2% in the late 1990s. The clear leader in this comparison. </p><p>United States: Around 3.5%, with particularly strong growth since 2018. </p><p>Germany: Approximately 3.1%, maintaining a relatively stable level in recent years. </p><p>China: A remarkable rise from about 0.6% in 1996 to 2.6%. China is steadily closing the gap with advanced economies. </p><p>India: Still around 0.7%, with little improvement over the past two decades. </p>https://x.com/World_Data_A/status/21168223026376050720.00202026-11-01T13:48:35.650649+00:002x.cominnovationeconomyresearch3610https://pbs.twimg.com/media/HWBe8arWwAAPO1y?format=jpg&name=smallImage2026-11-01T13:48:36.897037+00:003703@sundarpichaiSundar Pichai<p>A few weeks ago, Google quietly launched a small satellite with an AI chip inside it. The same kind of chip that powers Gemini. This week, engineers on Earth sent it a simple instruction. The chip switched on, read the prompt, did the thinking up in orbit, and beamed the answer back down. The very first reply from space was a haiku.</p><p>That's Project Suncatcher.&nbsp;</p>https://x.com/sundarpichai/status/21162148664449438530.00202026-11-01T08:43:27.348028+00:002x.comresearchaigoogle3591IMAGE/media/content/3703/image.pngimage.pngpng2026-11-01T08:48:11.611313+00:003181@marclandersMarc Landers<p>People who had ever used cannabis tended to have larger brain volume in key areas that are full of natural cannabis-like receptors (especially the hippocampus, amygdala, caudate, and putamen – these areas are important for memory, emotions, learning, and movement). </p>https://pubmed.ncbi.nlm.nih.gov/41379083/0.00402026-10-21T05:14:27.841649+00:002x.comresearchcannabis3037https://pbs.twimg.com/media/HVEM1j3XYAANNYy?format=png&name=smallImage2026-10-21T05:14:28.987174+00:00700@RoundtableSpace0xMarioNawfalStanford professor Percy Liang built an AI research bot powered by GPT-6 Astra that analyzes 11 million scientific papers a minute, extracts key findings, identifies contradictions and generates new hypotheses, then sold it for $125,700 after 14 months. → Analyzes 11 million papers per minute with GPT-6 Astra as the backbone → Flags contradictions and generates new research hypotheses automatically → One company paid six figures for accesshttps://x.com/RoundtableSpace/status/20992983327031299850.00502026-09-14T15:02:07.384248+00:002x.comgpt-6-astraresearchai606IMAGE/media/content/700/image.pngimage.pngpng2026-09-14T15:02:41.537757+00:00662@DrEliDavidDr. Eli DavidCo-founder and CTO of @huggingface, that was acquired by Nvidia 👇 Dario and Sam can slow down their own research as much as they want.https://x.com/DrEliDavid/status/20991178981951613990.00306632026-09-14T08:54:20.606689+00:002x.comhuggingfaceresearchnvidia577https://abs.twimg.com/emoji/v2/svg/1f447.svgDown pointing backhand index2026-09-14T08:54:20.953036+00:00620@GoogleResearchGoogle ResearchCan AI build new knowledge from experience? Join Google researchers Dima Damen and Viorica Patraucean alongside Yilun Du for the Panel today at 10:00am CEST in the Arena Room as they discuss the future of AI learning loops: https://eccv.ecva.net/virtual/2026/panel/6160 … @GoogleDeepMindhttps://x.com/GoogleResearch/status/20986528291875350960.00502026-09-12T12:55:19.433014+00:002x.comresearcheccv2026ai358@markchen90Mark ChenGPT-6 Astra is here! This is a big moment for our research team - years of work on pretraining, reinforcement learning, and post-training have come together in our most capable and aligned model yet. It can build and test software, work across apps on your computer, and even help x.com/OpenAI/status/…https://x.com/markchen90/status/20956209095832743350.00403572026-09-04T09:49:10.159852+00:002x.comsoftwareresearchgpt-6247@osansevieroOmar SansevieroToday we're releasing TimesFM 3.0 on Hugging Face - Open foundation model for time series forecasting - Complex multivariate scenarios with zero-shot - 330m parameters Excited about the research and new use cases this will unlock!https://x.com/osanseviero/status/20945006925555961180.00502026-09-01T04:54:33.379571+00:002x.comtimesfmforecastingresearch233https://pbs.twimg.com/media/HREomI3WIAAcae0?format=jpg&name=smallImage2026-09-01T04:54:35.495953+00:0061@accelxraccelxr<p>chinese models topped us models in token usage on openrouter in march and have been up only since. how real are the chinese labs, and what do they mean for the frontier moats? this and more in delphi research's latest report from on evaluating the china labs.</p>https://x.com/ceterispar1bus/status/20926153052981249520.00502026-08-27T05:20:52.641478+00:002x.comchineseresearchmodels50IMAGE/media/content/61/gnosly-ch-models.jpggnosly-ch-models.jpgjpg2026-08-27T05:21:32.327781+00:00