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Firefox Merges Support for Vulkan Video Decoding
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๐บ๐ธ ๋ฏธ๊ตญ ยท IT/๊ธฐ์ ยท "ODI" ยท ์ด 65๊ฑด
ํํฐ ๋ณด๊ธฐํ์ฌ ์ง์
50.0
0 = ๋ถ์ ์ฐ์ธ
50 = ์ค๋ฆฝ
100 = ๊ธ์ ์ฐ์ธ
์ต๊ทผ 7์ผ ๊ธฐ์ค 10,153๊ฑด์ ๋ถ์ํ ๊ฒฐ๊ณผ, ๋ด์ค ์ฌ๋ฆฌ์ง์๋ 50.0(๊ท ํ)์ ๋๋ค. ๊ธ์ 1๊ฑด(0.0%)ยท์ค๋ฆฝ 10,151๊ฑด(100.0%)ยท๋ถ์ 1๊ฑด(0.0%)์ด๋ฉฐ, ์ค๋ฆฝ ๋น์ค์ด ๋๋ ทํ๊ฒ ๋์ต๋๋ค. ์ฑํฅ ์ง์๋ ์ข ํฉ 19.2(์ค๋ ๊ท ํ)์ ๋๋ค.
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Unjected and PureBlood.Dating are hosting in-person meetupsโand have transformed the dating landscape into a political battleground over bodily autonomy.
Supabase, an example of an open source project becoming a fast-growing company, has greatly benefited from AI tools like Claude, Codex, and other vibe-coding platforms.
Samuel Colvin, CEO of Pydantic, sees the top AI frontier labs creating databases of coding intent.
An open letter signed by the heads of OpenAI, Anthropic, Google DeepMind, and Microsoft AI warns that advances in AI are eroding barriers to biological weapons development
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We are in commencement season, when graduates look back on their accomplishments and look ahead to their future ambitions. But shifts in the economy and the anxiety around it are changing how this generation sees their prospects. Ali Rogin speaks with New York Times reporter Jodi Kantor about her book, "How to Start: Discovering Your Life's Work." It's part of our series, "Rethinking College."
Database startup Supabase announced a $500 million funding round that values the company at $10.5 billion, including the fresh capital.
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Patience is a virtue that researchers have linked to many parts of well-being. But itโs also something that needs a bit of practice and training โ and can be undermined by instant, easy gratification.
Walmart placed a token limit on its internal vibe coding tool, Code Puppy, reflecting the retailer's cost-conscious approach to AI.
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The modified Ioniq 5 will be loaded with sensors to capture data for Uber's new AV Labs division.
Gemma 4 12B uses a new encoding scheme and token prediction to punch above its weight.
New graduatesโ careers are unfolding in an era when AI is not optional. The most successful engineers treat artificial intelligence as leverage, not competition. Here are seven tips to help keep young professionals in demand no matter how quickly the fieldโs tools evolve. 1. Master the fundamentals first. AI tools can help you code, but you still need strong fundamentals in: Data structures and algorithms for problem-solving. Operating systems, databases, and networking for system-level understanding. Core programming languages such as C++, Java, and Python. AI can autocomplete syntax, but if you donโt understand how things work under the hood, youโre likely to struggle to debug or optimize. 2. Learn how to work with AI, not against it. The best engineers will not try to out-code AI. Instead, they will learn to: Write clear prompts to generate better code snippets. Review and debug AI-generated code for accuracy, performance, and security. Use AI for productivity boosts while still exercising judgment. Think of AI as a teammate. The real skill is knowing when to trust it and when not to. 3. Build projects that showcase end-to-end thinking. Employers increasingly look for engineers who can design and build systems, not just solve problems. Create projects that show you can: Define requirements clearly. Use AI tools responsibly within the workflow. Deliver a product that scales and is maintainable. 4. Sharpen your system design skills early. Even junior engineers are now asked questions about basic system design with AI. Expect to explain to prospective employers: How you would responsibly integrate AI into a system. How to design fallbacks when AI fails. How to ensure scalability and reliability. 5. Develop strong communication skills. Todayโs engineers donโt just code in isolation. You will be expected to: Explain design choices to teammates and stakeholders. Document decisions clearly. Collaborate effectively in cross-functional teams. This is one area where AI cannot replace you. Clear communication is a career accelerant. 6. Stay curious and keep learning. The tech industry moves fast, and AI is accelerating that pace. Cultivate habits such as: Following industry news, blogs, and open-source projects. Experimenting with new AI tools, frameworks, and libraries. Engaging in communities such as GitHub, IEEE Collabratec, LinkedIn, and Medium. Employers value engineers who keep themselves sharp and relevant. 7. Think beyond coding. AI will increasingly handle routine coding tasks. The differentiators for you will be: Problem-framing: Can you take a vague idea and turn it into a solution? Architectural judgment: Can you design systems that scale and last? Ethical awareness: Can you spot risks in AI use and address them responsibly? For more career advice, subscribe to the IEEE Spectrum Career Alert Newsletter. The biweekly newsletter features the latest information on jobs, education, management, and the engineering workplace.
The MAI model family spans reasoning, coding, image, voice, and transcription โ and lets Microsoft avoid paying third parties like OpenAI
In the space of a few weeks, OpenAI, Anthropic, and Google released new AI models. Now, coders are rethinking their jobs โ and what comes next.