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Code Metal Raises 125 Million to Rewrite the Defense Industry's Code With AI
The Boston startup uses AI to translate and verify legacy software for defense contractors, arguing modernization can't come at the cost of new bugs. Code Metal, a Boston-based startup that uses AI to write code and translate it into other programming languages, just closed a $125 million Series B funding round from new and existing investors. The news comes just a few months after the startup raised $36 million in series A financing led by Accel. Code Metal is part of a new wave of startups aiming to modernize the tech industry by using AI to generate code and translate it across programming languages. One of the questions that persists about AI-assisted code, though, is whether the output is any good--and what the consequences might be if it's not.
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Decades of international failure on Palestine
'The next stage of the Gaza genocide has begun' How important is the Rafah crossing reopening? US President Trump convenes inaugural'Board of Peace' meeting after decades of inaction on addressing core Palestinian demands to end the Israeli occupation. Al Jazeera takes a look at the international community's failures. Masked protesters arrested outside Trump's Board of Peace meeting Palestinians in Gaza say'Board of Peace' will further occupation OpenAI's Sam Altman: Global AI regulation'urgently' needed Gaza'stabilization force' commander outlines security plans Trump praises'magnificent' B-2 bombers that struck Iran in 2025 Jordan-Israel relationship'at its worst' after West Bank plans Trump's'Board of Peace' convenes for first time
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Towards Federated Foundation Models: Scalable Dataset Pipelines for Group-Structured Learning Zachary Charles
We introduce Dataset Grouper, a library to create large-scale group-structured (e.g., federated) datasets, enabling federated learning simulation at the scale of foundation models. This library facilitates the creation of group-structured versions of existing datasets based on user-specified partitions, and directly leads to a variety of useful heterogeneous datasets that can be plugged into existing software frameworks. Dataset Grouper offers three key advantages. First, it scales to settings where even a single group's dataset is too large to fit in memory. Second, it provides flexibility, both in choosing the base (non-partitioned) dataset and in defining partitions.
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Perplexity's Retreat From Ads Signals a Bigger Strategic Shift
The AI search startup once predicted advertising would be a massive business. Perplexity is abandoning plans to put ads in its AI search product as the industry looks for sustainable business models that won't hurt user trust. The changes are part of a larger strategic shift for the company, which has long focused on disrupting Google Search's business. Google is changing to be like Perplexity more than Perplexity is trying to take on Google, said a Perplexity executive at a press briefing on Tuesday. Executives spoke to the press on the condition of anonymity.
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