A lot of these bot-less tools don't indicate who said what in their captured transcript. Many people face problems with misattribution when they ask their meeting note-taker a question about what they might have said in a particular meeting a few months ago.
In 2024 alone, authorities imposed 304 internet shutdowns across 54 countries - the highest number ever recorded. This reflects a growing trend of governments treating connectivity as a weapon.
DINUM will coordinate a cross-ministerial plan to reduce dependence on suppliers outside Europe. Each ministry will be required to develop its own plan by this fall, covering the following areas: workstations, collaboration tools, antivirus software, artificial intelligence, databases, virtualization, and network equipment.
No matter how inevitable the AI-takes-all scenario may sound, as long as there is a person in the world who still wants to own their means of computation, we will be here to build the hardware that enables it.
Meta is working on two proprietary frontier models: Avocado, a large language model, and Mango, a multimedia file generator. The open-source variants are expected to be made available at a later date.
Microsoft did not send me any emails or prior warnings. I have received no explanation for the termination and their message indicates that no appeal is possible. I have tried to contact Microsoft through various channels but I have only received automated replies and bots. I was unable to reach a human.
Gentoo's official migration from Microsoft-owned GitHub to Codeberg is underway, as the Linux distribution fulfills a pledge to ditch the code shack due to "continuous attempts to force Copilot usage for our repositories." The decision was made public last month, when Gentoo confirmed it intended to migrate repository mirrors and pull request contributions to the new home. On February 16, the organization revealed it now had a presence on Codeberg, where contributions could be submitted.
While AI tools are lowering the barrier to development, the gap between speed and manageability is growing. In just over a year and a half, AI code assistants have grown from an experiment to an integral part of modern development environments. They are driving strong productivity growth, but organizations are not keeping up with the associated security and governance issues.
AI coding tools have caused as many problems as they have solved, according to industry experts. The easy-to-use and accessible nature of AI coding tools has enabled a flood of bad code that threatens to overwhelm projects. Building new features is easier than ever, but maintaining them is just as hard and threatens to further fragment software ecosystems. The result is a more complicated story than simple software abundance.