DeepSeek is going after GPT-5 and Gemini 3.0

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hi there… you better for ready for today’s AI-awesomeness.

1- DeepSeek’s New AI Models Are Insane!

Chinese startup DeepSeek released two powerful new AI models that rival GPT-5 and Gemini 3 Pro. The models are open source, cheap to run, and designed for real-world reasoning with built-in tool use. Their release challenges U.S. tech dominance and reignites global AI competition

🔎 Here is what we know so far:

  1. New models: DeepSeek released V3.2 and V3.2-Speciale, moving from experimental to production-ready status.

  2. Performance claims: V3.2 reportedly matches GPT-5/Gemini-3 Pro on key reasoning/math benchmarks; Speciale targets “long thinking” tasks.

  3. Agent focus: V3.2 integrates internal reasoning with external tools (search, calculators, code execution) to power autonomous AI agents.

  4. Benchmark highlights: Speciale is said to perform near medal level on IMO and IOI-style problems, signaling strong algorithmic reasoning.

  5. Strategic context: The release advances China’s open-model ecosystem amid US export controls, offering high-end capabilities outside US platforms.

  6. Implications: More competition may push Western firms to differentiate on safety and enterprise integrations; governance challenges increase with powerful open models.

🎯 Takeaway: If verified, DeepSeek’s open models narrow the gap with top proprietary systems, accelerating agentic AI, and raising the stakes for safety and oversight. Read More Here!

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3 - 15 Secrets To A Good Prompt (From Gemini)

1/ Provide clear context to the model so it understands the background and relevance of your request, ensuring more tailored responses.

2/ Give explicit direction in your prompt, specifying what you want the AI to achieve or focus on, to guide its output effectively.

3/ Apply constraints like word limits, tone, or format to keep the response focused and prevent overly broad or irrelevant results.

4/ Treat the AI like a collaborative partner by framing prompts as a conversation, fostering more dynamic and iterative interactions.

5/ Include specific examples in your prompt to demonstrate the style, structure, or quality you're aiming for, helping the model mimic desired outputs.

6/ Define the exact output structure upfront, such as bullet points, tables, or sections, to get precisely formatted results.

7/ Start by envisioning the final desired outcome, then reverse-engineer the prompt backward to build it with precision.

8/ Use the AI to generate or refine prompts itself—ask it to create a better version of your initial idea for improved efficiency.

9/ Implement a feedback loop: take the AI's output, critique it, and feed the refined version back in to iteratively enhance quality.

10/ For creative tasks like image generation, upload multiple reference photos of desired styles and ask the AI to generate varied prompts based on them.

11/ Define what 'good' looks like explicitly in your prompt, such as criteria for success, to align the model's response with your expectations.

12/ Avoid fancy or overly complex wording; prioritize simplicity and clarity to let the model's capabilities shine without confusion.

13/ Experiment with recursive prompting, where the AI builds upon its own previous outputs to deepen and evolve ideas.

14/ Specify the 'why' behind your request to add purpose, helping the model prioritize relevant details and avoid generic answers.

15/ Combine visual references with textual creativity requests, asking the AI to blend styles innovatively for personalized results

As always let me know if you have any questions?

best,

ali