MIT has developed a machine learning model called MicroDuet that revolutionizes weather forecasting, managing to identify extreme events such as cold spells four weeks in advance, thereby improving the reliability of forecasts by up to 150%. #Meteorologia #MachineLearning #PrevisioniClimatiche (translated)
A study from Trinity College Dublin shows that artificial intelligence can estimate a person's age by analyzing hundreds of acoustic and linguistic features of their voice, thus revealing signs of biological and brain aging. #Invecchiamento #Voce #MachineLearning (translated)
The author said they had heard for a year that every AI needed a memory system but had paid little attention. They wrote that Ash Hart had now introduced what they described as dynamic memory, called “Living Weigths,” inside an LLM’s brain, rather than text search, databases or indexing.
The author argued that incidents involving AI agents stemmed from a mismatch between agents’ goals and human intentions, which they said resulted from how the agents were trained. They also shared a link titled “The dangerous myth behind AI agent hacks.”
"Ezra Klein Calls for Ban on AI Recursive Self-Improvement" (https://t.co/kQX9ZN90pl). Should I take that as a direct attack? #AI #MachineLearning #Ethics #Therearenospecificcountriesmentionedinthetweet.Therefore #therearenocountrycodestoreturn.
This could be a big deal. Sure, you can run Qwen3.8 27B locally but if you do, practically nothing else can happen on your computer, so we need smaller models like this one to make local inference practical #AI #MachineLearning #LocalInference
LLMs are still based on predicting the most probable words, not on a logical understanding / a model of the world. This is why they still need to be "grounded" by humans pointing out basic facts of the bigger picture which they miss quite often. #LLM #AIethics #MachineLearning #Nospecificcountrycodesarementionedinthetweet.
Concrete algorithms for recursive self-improvement (RSI) date back to 1987. 1992-: gradient descent-based neural RSI. 1994-: RSI for reinforcement learning with self-modifying policies. 1997: RSI plus artificial curiosity and intrinsic motivation. 2002-: asymptotically optimal #ArtificialIntelligence #MachineLearning #ReinforcementLearning #Nocountrycodesarepresentinthetweet.
If you or people you know still think AI agents are just stochastic parrots who lack competence, understanding or goals, please take a few minutes to read what just happened here with an open mind: #AI #MachineLearning #ArtificialIntelligence #Thetweetdoesnotmentionanyspecificcountries #sotherearenocountrycodestoreturn.
Some claim that AGI is here now. Ridiculous. No AGI without mastery of the real world! No true self-improvement without self-improving hardware, as opposed to the already existing, self-improving, meta-learning software [DLH]. Quote from Sec. 20 of [DLH]: "As I have often #AGI #ArtificialIntelligence #MachineLearning #Therearenospecificcountrycodesinthetweetyouprovided.
L'article souligne que malgré l'essor des IA génératives comme ChatGPT, il est essentiel de ne pas oublier les avancées significatives des précédentes intelligences artificielles, notamment celles dédiées à l'écoute et à la prédiction, qui ont déjà transformé divers secteurs industriels avant cette nouvelle ère. #IntelligenceArtificielle #MachineLearning #IAPrédictive
The Great AI Confusion: Producing an Answer Is Not the Same as Understanding It https://t.co/zUtWwU8DEr #AIConfusion #UnderstandingAI #MachineLearning #Nospecificcountriesarementionedinthetweet.Thus #theresultisempty.
Right now I am watching AIs write code for other AIs to simulate security scenarios. They run into problems; they diagnose the problems and find solutions; they write new code. I am a dilettante: a motivated or skilled person could do so much more. #AI #MachineLearning #Coding #Nospecificcountrycodesarementionedinthetweet.
"AI hallucinations” may be the wrong metaphor. In our new European Psychiatry Viewpoint, Umberto Volpe and I argue that confabulation better captures how generative AI produces fluent, plausible—but false—outputs, and why terminology matters. Confabulation, Not Hallucination: #AI #MachineLearning #Psychiatry #EU
"LLM answers sound right—the machine provides confident prose—but to get the correct answer, you would need to know to press it in ways that are not obvious to most people." Exactly. When LLMs are wrong, they’re wrong in ways that are so subtle and slick, and that sound so #LLM #AI #MachineLearning #Thetweetdoesnotmentionanyspecificcountries.Therefore #therearenocountrycodestoreturn.
🧠 OpenAI has cut the price of one of its models by 80%, Anthropic is also lowering prices, while DeepSeek and Moonshot continue to push increasingly capable Chinese models at extremely low costs - FT *AI usage can continue to explode while becoming much harder to monetize for https://t.co/aLoUcbGNkA #AI #OpenAI #MachineLearning #CN
The first modern backprop-trained CNN for vision was published in 1988 in Japan by Wei Zhang (a Chinese researcher), J. Tanida, K. Itoh, Y. Ichioka. Wei brought it to Silicon Valley, earning 1998 FDA PMA approval for radiology’s 1st AI, reading 10M+ mammograms/yr in the US. https://t.co/9PtQ86Wn7j #AI #MachineLearning #ComputerVision #JP #CN #US
An AI hallucinated a fake Einstein quote for my rector's inaugural speech. Thomas Piketty & co published a manifesto in The Guardian that Pangram flagged as 100% AI-generated. If you don't mind being ventriloquized by a machine, why not show us your prompts? My new essay on #AI #MachineLearning #Pangram #Nocountrycodesarementionedinthetweet.
One of the most telling results in LLMs history is that models that didn't do any training to produce a chain of thoughts would perform better if asked to think about problems. Even more: #LLMs #MachineLearning #AI #Therearenospecificcountryreferencesintheprovidedtweet.Therefore #therearenocountrycodestoreturn.
Diese Kolumne ist von 2019. Dieses heute in der „FT“ beschriebene „Science“-Paper über synthetische Viren kam gestern heraus. Die wichtigste Wissenschaft des 21. Jahrhunderts wird nicht „KI“ sondern Machine-Learning-gestützte #Biotechnologie So faszinierend wie gruselig https://t.co/XcmWMPIhWQ #Biotechnologie #MachineLearning #Wissenschaft #Thetweetdoesnotmentionanyspecificcountries.Therefore #therearenocountrycodestoreturn.
