This Week’s Tech Drop:
OpenAI Dev Day updates shook the entire industry.
Custom GPTs, memory, and native workflows = no-code on steroids.
Anthropic’s Claude 3.5 Sonnet quietly became a beast for reasoning.
Perplexity Pro now offers citation-rich summaries — better for research.
Translation: it’s the week where AI assistants stopped being assistants —
they’re practically junior employees now.
Details:-
### OpenAI Dev Day Updates
OpenAI's Dev Day 2025 showcased revolutionary updates: the introduction of AgentKit and powerful Apps SDKs means users and developers can build, run, and monetize custom agents and apps within ChatGPT itself[1][2][3]. These tools enable visual workflow-building and native integrations with services like Canva and Zillow, pushing the boundaries of no-code automation. Enhanced model access, including GPT-5 Pro for complex reasoning and the newly launched Sora 2 for video, demonstrates OpenAI’s move to make ChatGPT not just an assistant, but an extensible AI operating environment[1][2][3].
### Anthropic Claude 3.5 Sonnet Upgrades
Anthropic’s Claude 3.5 Sonnet was quietly released but has set new industry benchmarks in AI reasoning, speed, and cost efficiency[4][6][5]. It excels in graduate-level reasoning tasks, advanced coding proficiency, and visual reasoning. Tests confirm it can independently write, edit, and execute code, and handle complex workflows, affirming its status as one of the most capable AI models available for practical reasoning and technical execution[4][6][5].
### Perplexity Pro’s Research Capabilities
Perplexity Pro now offers citation-rich, accurate summaries tailored for academic research and deep analysis[7]. Its citation engine supports multiple styles (APA, IEEE, MLA, etc.) and can ingest various document types, including PDFs and scanned papers. Perplexity’s summaries condense documents with precise referencing and formatted bibliographies, which is highly valued by researchers and students[7].
### Implications: AI Assistants Evolve
Collectively, these features mean that modern AI assistants can automate research, execute workflows, build apps, and rapidly reason across domains—essentially operating like junior employees in a digital organization[1][2][3][4][6][7]. This marks a notable shift from AI as passive assistants to active digital collaborators.
In summary, the week’s advances confirm that AI assistants now possess the capacities—memory, automation, integrated workflow tools, and advanced reasoning—to function as productive, autonomous digital workers[1][6][4][7][2][3][5].
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