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Trump Harms AI Progress by Warring With Universities
Donald Trump has done a lot to antagonize universities in his first 100 days. He cut off federal research funding to institutions like Princeton, Columbia, and Harvard, Citing their alleged tolerance of antisemitism on campus. He also threatened the authority of college accredited body But these actions directly undermine the administration’s stated goals of strengthening the US military and helping american tech companies maintain their narrow lead over China in Ai Research
Since World War II, The US Government has maintained a deep and productive relationship with universities. Under the Leadership of Vannevar Bush, Director of the office of Scientific Research and Development, The Government Channeled Significant Research Funding Into University Labs. In Return, it receive breakthroughs like radar and nuclear technology. Over the decades, University Researchers have Continued to Contribute Critical Innovations used in defense and intelligence, Including GPS and the Foundational Technologies of the Internet.
Today, the Government Increasingly Relies on the Commercial Sector – Including Major Contractors Like Boeing and General Dynamics, and Newer Firms like Palantir anduril – Foril – Foril – Foril – Foril – Foril – Foril – Foril – Foril – Foril – Foril – Foril – Foril – Foril – Foril – Foril – Foril – Foril – Foril – Foril – Foril -Foril – Foril – Foril -Foril – Foril -Foril – Foril -Foril – Foril -Foril – Foril -Foril – Foril -Foril -Foril – Foril -Foril -Foril -Foril -Foril -Foril – Foril -Foril -Foril -Foril -Foril -Foril -Foril -Foril -Foril -Foril -Foril -Foril -Foril -Foril -Foril -Foril -Foril -Foril -For Yet Universities Remain Essential. Much of the most advanced ai research still originates from Academic Computer Science Departments, Many of which are powered by interactive students Students Studying at Institutions like Mitha, Stanford, and Berkeleti. These students often go on to found companies based on research initiated in academia. Whether they choose to build their businesses in the us or return to their home counties depends, in part, on whether they feel welcome.
When International Students See Research Funding Threated or Videos of Phd Students Being Arrested by ice, Staying in the Us Today A Less A Less Appealing Option. In a recent conflict with harvard, the department of homeland security even Demanded Information on the University’s Foreign Students and Threatened to Revoke its Eligibility to HOST theme. In response, over 200 university and college presidents have condemned the administration’s actions and are exploring ways to resist further federal overren.
Rather than discouraging International Researchers and Students, The Us Should Be SENDING A Clear Signal: That It Remains A Safe, Supportive, and Dynamic Environment for Ai Talent to Study, Innovate, and Launch, and Launch Next Generation of Transformative Companies.
The best ai agents may be powered by teams of ai models working together
During the first phase of the Ai boom, labs achieved big intelligence gains by pretraining their models on ever-larger data sets and using more computing power. While Ai Companies are still improved on the art and science of pretraining, the intelligence Gains are by becoming increasing increasing. A big part of the research communication has shifted its focus to find the best ways to train models to “Think on their feet,” after a user enters a question or problem. This research has already lad to a new generation of “Thinking” models such as Openai’s O3 Models, Google’s Gemini 2.0, and Anthropic’s Claude 3.7 sonnet. Researchers Teach Such Models to Think by Giving them a Multistep Problem and Offering them a Reward (Usually just a bit of code That this means “good”) for finding their way to a satisfactory answer.
It’s certainly possible to build an infection system that makes numerous calls to a single large frontier ai model, collecting all the questions and answers in a “context Window” as worker ”. But new research from berkeley’s ai research lab shows this monolithic “One model to rule them all” A “Compound AI System” of Multiple Models, Knowledge Bases, And Other Tools Working TogeTher Can Yield More Relevant and Accure Outputs at Far Lower Costs. Importantly, such a “pipeline” of ai resources can be a powerful backend for ai agents capable of calling on tools and working autonomously, call Which builds software that enables it to provide gpu computer at low cost for ai developers.
Davis has been an effort to create an open-source framework that lets ai practitioners building just the right pipeline, with just the right resources, for the application they have in mind. The Framework, Called Ember, was Created With Help from Researchers at Databricks, Google, IBM, NVIDIA, Microsoft, Anyscale, Stanford, UC Berkeley, and Mit Davis Says It’s Possible to Build a compound system that can make calls to a number of today’s state-up-to ai models (via apis) such as ons from Google, OpenAI, Anthropic, Annthropic, Anthropic, Anthropic, Anthropic, Anthropic, Anthropic, Large Frontier Models often Stand Above Other Large Models in Certain Skill Areas (Anthropic’s Claude is especially Good at Writing and Analyzing Text), so it is a Possible to Build a Possible to Build Ana Calls on models according to their unique strengths.
This is a very different way of looking at ai computing, compared to the narrative of just a couple years ago that said one model would be better Now, numerous models compete for the state-of-the-train at various tasks, whose other smaller models specialize in completeing tasks at lower cost, and the overall cost of getting an ad an acre from Model has gone way down over the past couple of years.
Congress actually passes a tech bill
Congress has failed to pass any broad-based regulation to protect user and data privacy on social networks. It has, however, managed to pass laws to prohibit specific and particularly Dangerous Social Media Content Such as Child Sex Trafficking, and No Nonconsensual INTIMATE IMAGES (Or ncii)
NCII Refeers to the Practice of Posting Sexual Images or Videos of Real People Online without their Consent (often as an act of revenue or an attempt to extort), Including Explich IGENERED USINGES Using tools. The bill, called the take it down act, which unanimously passed the senate in February and the house on Monday, makes it a federal crime to post ncii and requires that online platforms reMe 48 hours of a Complaint. Affected “Public-Facing” Online Platforms will have a year after the law passes to set up a system for receiving and acting on Complaints. The president is expected to sign the bill into law.
Even thought the bill’s intent earned widespread support, its legal reach disturbed some free expression advocates. The electronic frontier foundation works that Bill’s language is overbroad and that it could be used as a tool for censorship. These works were compounded by the fact that the new law will be enforced by the federal trade commission, which is now LED by Trump Loyalists.
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