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A new AI test is outwitting OpenAI, Google models, among others

Mashable Tech

Intelligence requires the ability to generalize from limited experience and apply knowledge in new, unexpected situations. By comparison, its 4 percent score on the second edition shows how difficult the test is, but also how there's a lot more work to be done with reaching human level intelligence. OpenAI's o3-low model scored 75.7

Test 120
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5 Web Reports Every Nonprofit Should Know

NetWits

Probably no better an indication of my love for the knowledge waiting to be unmasked within this tool, is the (fun?) Use this comparison to survey peaks and valleys of traffic. With this knowledge we can adjust keyword usage on pages found and those we desire to be ranked higher.

Web 251
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How machine learning can be used to identify microplastics

Fast Company Tech

The width of a human hair, for comparison, ranges from 20 to 200 micrometers. It does not require the user of the machine learning algorithm to have any detailed knowledge of the algorithm or its training data. Microplastics are small plastic particles that range in size from 1 micrometer to 5 millimeters.

Learning 113
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Slack CEO: Microsoft is ?unhealthily preoccupied with killing us?

The Verge

Ultimately, Butterfield thinks Microsoft is trying to force the Teams comparison because “Microsoft benefits from the narrative that Teams is very competitive with Slack. Microsoft’s Slack comparison from July 2019. Even though the reality is it’s principally a voice and video calling service.”.

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How to Decide Which Fundraising Software Your Nonprofit Should Use

Nonprofit Tech for Good

CFRE certification – Obtain certification for fundraising professionals who demonstrate the knowledge, skills and commitment to the highest standards of ethical and professional practice in serving the philanthropic sector.

Software 330
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Retrieval-augmented visual-language pre-training

Google Research AI blog

Posted by Ziniu Hu, Student Researcher, and Alireza Fathi, Research Scientist, Google Research, Perception Team Large-scale models, such as T5 , GPT-3 , PaLM , Flamingo and PaLI , have demonstrated the ability to store substantial amounts of knowledge when scaled to tens of billions of parameters and trained on large text and image datasets.

Language 113
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Universal Speech Model (USM): State-of-the-art speech AI for 100+ languages

Google Research AI blog

In the second (optional) step, we used multi-objective supervised pre-training to incorporate knowledge from additional text data. With the knowledge acquired during pre-training, USM models achieve good quality with only a small amount of supervised data from the downstream tasks. The overall training pipeline is illustrated below.

Language 140