LinkedIn’s Gen AI Tools Are The ChatGPT Of Career Wins

Here is what’s new in the AI world.

How Gen-Powered Tools Will Dominate Your Job Hunt

LinkedIn is rolling out a suite of generative AI-driven features designed to simplify job searches, offering personalized recommendations, real-time insights, and conversational prompts to help users land their ideal roles.

The updates build on the platform’s existing AI tools, reflecting a broader shift toward AI integration in recruitment and career development.

Key Features for Job Seekers

LinkedIn’s move follows its 2023 AI updates, including resume feedback tools and AI-summarized job pages. The broader job market is seeing a dual AI revolution: candidates use tools like ChatGPT to craft applications, while employers deploy AI to sift through resumes, though both sides grapple with AI-generated spam.

Access and Education

While some features are exclusive to Premium subscribers (starting at ~$20/month), LinkedIn is democratizing access to learning:

• Free AI Courses: The 10 most popular AI courses are free through May 2025.

• Job-Seeking Resources: Select career development courses available to all users until June 30.

Why It Matters

LinkedIn’s AI tools aim to bridge the gap between job seekers’ aspirations and employer needs, prioritizing context over keywords. As AI reshapes hiring, platforms like LinkedIn are becoming essential for navigating an increasingly competitive—and automated—job market.

Tencent’s DeepSeek Fuels China’s Open-Source AI Revolution

DeepSeek, a leading Chinese AI startup, has credited Tencent Holdings with resolving a critical technical challenge in its DeepEP project, a code library optimizing communication between chips, through an open-source solution that significantly boosted performance.

This collaboration underscores China’s growing reliance on open-source innovation to accelerate AI advancements, even amid intense domestic competition.

Tencent’s Open-Source Contribution

Tencent’s network platform department provided a solution that enhanced DeepEP’s speed and reliability, drawing from its expertise in data center optimization and GPU communication.

These technologies, originally developed for Tencent’s Hunyuan AI models, were shared openly, enabling DeepSeek to integrate them into its low-cost, high-performance AI systems.

China’s Open-Source Ecosystem

The partnership reflects a broader trend among Chinese tech firms to prioritize collaborative open-source strategies. Alibaba’s Qwen model series, for instance, dominates the global open-source landscape, powering over 100,000 derivative models and surpassing Meta’s Llama in adoption.

Such initiatives aim to narrow the gap with global leaders like OpenAI, which plans to release a less advanced open-source model to avoid aiding competitors.

Strategic Contrasts and Global Standing

While OpenAI cautiously limits its open-source offerings, Chinese firms leverage shared innovation to drive progress. DeepSeek’s R1 and Alibaba’s Qwen 3 now rank as the world’s top open-source AI models per LiveBench benchmarks, highlighting China’s rapid ascent.

The collaboration comes amid scrutiny, including South Korean allegations of unauthorized data transfers by DeepSeek to ByteDance servers—a reminder of the geopolitical tensions shaping tech development.

By fostering open-source collaboration, Chinese companies like DeepSeek and Tencent are collectively advancing AI capabilities, demonstrating how shared innovation can fuel progress in a competitive global arena.

From Zero to Hero: Qwen3’s Meteoric Rise Crushes DeepSeek’s AI Dominance!

Alibaba Group’s newly launched Qwen3 AI model series has claimed the top spot in global open-source AI rankings, overtaking DeepSeek’s R1, according to recent benchmark data from LiveBench.

The evaluation platform, which tests large language models (LLMs) critical to generative AI technologies like ChatGPT, highlighted Qwen3’s superior performance in coding, mathematics, data analysis, and language processing.

Technical Edge and Market Impact

The Qwen3 family, released by Alibaba’s cloud division, comprises eight models ranging from 600 million to 235 billion parameters, variables that shape AI outputs during training. This achievement underscores China’s accelerating AI advancements and Alibaba’s expanding influence in open-source innovation, where code is publicly accessible for collaboration and improvement.

Competitive Landscape

While Qwen3 now leads open-source rankings, it trails behind proprietary models like OpenAI’s o3, Google’s Gemini Pro 2.5, and Anthropic’s Claude 3.7 in overall performance. Notably, Qwen3 offers significant cost advantages, priced at 4 yuan.

Major Chinese tech firms, including Huawei, Cambricon, Moore Threads, and Hygon, have integrated Qwen3, optimizing it for domestic GPUs to meet local demand. International players like Nvidia and Intel, alongside AI platforms Hyperbolic and Fireworks.ai, also support the model.

Additionally, Qwen3 is deployed across China’s data centers and the national Supercomputing Network, linking 20 centers in 14 provinces.

DeepSeek previously dominated with its cost-efficient V3 and R1 models, but Alibaba’s Qwen series, already powering Hugging Face’s top 10 open-source LLMs earlier this year, reflects China’s strategic push to leverage open-source collaboration for global AI competitiveness.

This shift highlights the balance between shared innovation and the race to close the gap with leading closed-source systems.

From $100 to Free: How ChatGPT’s Sora Just Democratized AI Art Forever

OpenAI has democratized access to its Sora AI image generator, integrating it into ChatGPT for free use. Users can now create photorealistic images through text prompts without a subscription. The tool mirrors platforms like Midjourney: input a description, and Sora generates visuals in seconds.

Paid Tier for Advanced Features

• Free Tier: Image generation only.

• Plus/Pro Subscriptions (20–20–25/month): Unlocks video creation (1080p, up to 20 seconds) and priority access during peak times.

Platform Features

Usage Details

• Downloaded images are saved as PNGs without watermarks but embed Sora metadata.

• Videos remain exclusive to creators; others can’t download them.

The move aligns with OpenAI’s push to expand ChatGPT’s utility while monetizing resource-heavy tasks. The interface echoes Meta’s AI app, emphasizing social sharing to foster a creator community.

By balancing free access with premium upgrades, OpenAI aims to attract casual users and professionals alike, positioning Sora as a versatile tool in the competitive AI media landscape.

Sam Altman’s Dire Warning to Congress: China’s AI Dominance is a National Emergency

OpenAI CEO Sam Altman joined executives from Microsoft, AMD, and AI cloud firm CoreWeave in a congressional hearing, emphasizing the transformative potential of artificial intelligence while urging bipartisan support for policies to bolster U.S. leadership in the global AI race.

Key Testimonies and Vision

Altman likened AI’s societal impact to the internet’s rise, suggesting it could surpass it. He stressed the critical need for infrastructure investment to harness AI’s potential alongside renewable energy advancements, framing these as interconnected “revolutions” vital for global progress. Executives unanimously called for regulatory streamlining to accelerate AI innovation and funding.

Global Competition and Bipartisan Concerns

Lawmakers expressed bipartisan urgency about maintaining U.S. AI supremacy, particularly against China’s 2030 AI dominance goals and the EU’s regulatory framework. Sen. Ted Cruz highlighted a crossroads between embracing innovation and adopting restrictive policies.

Discussions spanned chip development, energy demands for AI infrastructure, and bipartisan worries over cybersecurity, misinformation, and job displacement.

Partisan Tensions and Strategic Warnings

While the hearing largely avoided acrimony, clashes emerged over energy policies. Republicans questioned Biden’s sustainability agenda’s impact on AI infrastructure, while Democrats criticized past cuts to federal R&D funding.

Executives cautioned against stringent export controls, warning they might drive nations toward Chinese tech. AMD’s Lisa Su noted the risk of ceding global influence if U.S. tech isn’t adopted widely.

National Security and Soft Power

Altman underscored the strategic value of U.S. tech dominance, drawing parallels to the global appeal of iPhones and Google. He advocated for widespread international adoption of U.S.-developed AI infrastructure to reinforce geopolitical influence, emphasizing that technological leadership translates to soft power.

Conclusion

The hearing underscored a shared recognition of AI’s transformative potential and the necessity of collaborative, forward-thinking policies to ensure the U.S. shapes its trajectory. As Sen. Brian Schatz noted, the race isn’t merely commercial but ideological, a contest to embed democratic values into the fabric of global AI development.

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-Shen & Towards AGI team