Artificial Intelligence - StarfiniteX

Artificial Intelligence - StarfiniteX

6/18/2025, 4:04:25 PM

Meta AI now available on WhatsApp in Kenya

Artificial Intelligence - StarfiniteX

6/15/2025, 8:25:54 AM

*Stanford dropped the best 1-hour lecture on building AI agents* Here's a 28-point summary: 1/ Chain-of-thought prompting works because it slows down the model’s reasoning. Slower = smarter. 2/ Prompting is the new programming. You don’t need to write code. You need to write better instructions. 3/ A good prompt can make a weak model feel smart. A bad prompt can make GPT-4 feel dumb. 4/ Teaching AI is like teaching a junior teammate. Be clear, show examples, and ask to explain before answering. 5/ To get better AI answers, break your task into smaller steps. Feed it one step at a time. 6/ "Explain your reasoning first, then answer," works better than just "answering this." 7/ Your prompt is your product. Most users don’t need more model power, they need clearer instructions. 8/ Don't just say "summarize this." Say, "Summarize this in 5 bullets for a busy CEO." 9/ The more examples you show in your prompt, the more consistent the AI becomes. Think: few-shot prompting. 10/ Retrieval-Augmented Generation (RAG) is how you stop AI from making things up. Give it facts to pull from. 11/ RAG lets you feed your own data into the AI, like a private brain you can query. 12/ RAG works by turning your docs into searchable blocks that the AI can pull from when needed. Simple but powerful. 13/ Prompt engineering isn't a trick. It's a system. Like UX, but for thoughts. 14/ Use logging and tracing to debug prompts. If the answer is wrong, trace the thinking. 15/ You don’t always need to fine-tune a model. Just tune the prompt. 16/ Even 10 examples of great input/output can steer the model better than 1000 lines of code. 17/ Agentic AI = giving LLMs the ability to reason, act, reflect, and repeat. 18/ Reflection patterns help AI critique its own output and improve it in the next round. Yes, like self-review. 19/To get AI to fix a bug, ask it to write the fix. Then ask it to review its own fix before shipping. 20/ Agents are just smart loops: plan → act → observe → reflect → repeat. 21/ Multi-agent systems break big tasks into smaller ones, like a team, but all bots. 22/ Different agents can play different roles. One plans, one writes, one checks. Each with a unique prompt. 23/ Most hallucinations happen because the model is guessing. Prompt it with context so it doesn’t have to. 24/ Guardrails matter. Use smaller models to check if the big one is going off the rails. 25/ AI that can call APIs or run code is way more useful than just chatting. 26/ LLMs can now browse, fetch data, and even file pull requests. It’s not just chat anymore, it’s action. 27/ The best AI workflows combine prompting + memory + tools + feedback loops. 28/ Final insight: Stop chasing new models. Start mastering the one you already have with better prompts. Share this with the next dev who asks what “ *agentic AI* ” even means. https://youtu.be/kJLiOGle3Lw?si=M7uBcUX1EJydb5bxP

Artificial Intelligence - StarfiniteX

6/14/2025, 1:36:46 PM

Anthropic just dropped the beautiful explanation of how they built a multi-agent research system using multiple Claude AI agents. *A MUST read for anyone building multi-agent system.* A lead agent plans research steps, spawns specialized subagents to search in parallel, and then gathers and cites results. It covers architecture, prompt design, tool selection, evaluation methods, and production challenges to make AI research reliable and efficient. Single-agent research assistants stall when queries branch into many directions. Anthropic links one lead Claude with parallel subagents to chase each thread at once, then fuses their findings. ⚙️ *The Core Concepts* Research questions rarely follow a straight path, so a fixed pipeline leaves gaps. One lead agent plans the investigation, spawns subagents that roam in parallel, and later condenses their notes into a coherent answer. 🧠 *Why Multi-Agent Architecture Helps* Each subagent brings its own context window, so the system can pour in many more tokens than a single model would hold. Anthropic measured that token volume alone explained 80% of success on BrowseComp, and adding subagents pushed performance 90.2% past a lone Claude Opus 4 on internal tasks. Running agents in parallel also cuts wall-clock time because searches, tool calls, and reasoning steps happen side by side rather than one after another. https://www.anthropic.com/engineering/built-multi-agent-research-system

Artificial Intelligence - StarfiniteX

5/31/2025, 5:45:36 AM

*Google's new AI video tool floods the internet with a real-looking clip* 🔥 Google's newest AI video generator, Veo 3, generates clips that most users online can't seem to distinguish from those made by human filmmakers and actors. *Why it matters* Veo 3 videos shared online are amazing viewers with their realism — and also terrifying them with a sense that real and fake have become hopelessly blurred. *The big picture:* Unlike OpenAI's video generator Sora, released more widely last December, Google DeepMind's Veo 3 can include dialogue, soundtracks and sound effects. - The model excels at following complex prompts and translating detailed descriptions into realistic videos. - The AI engine abides by real-world physics, offers accurate lip-syncing, rarely breaks continuity and generates people with lifelike human features, including five fingers per hand. - According to examples shared by Google and from users online, the telltale signs of synthetic content are mostly absent. *Case in point:* In one viral example posted on X, filmmaker and molecular biologist Hashem Al-Ghaili shows a series of short films of AI-generated actors railing against their AI creators and prompts. *Special effects technology,* video-editing apps and camera tech advances have been changing Hollywood for many decades, but artificially generated films pose a novel challenge to human creators. - In a promo video for Flow, Google's new video tool that includes Veo 3, filmmakers say the AI engine gives them a new sense of freedom with a hint of eerie autonomy. - "It feels like it's almost building upon itself," filmmaker Dave Clark says. *How it works:* Veo 3 was announced at Google I/O on Tuesday and is available in Gemini. Checkout: https://blog.google/products/gemini/veo-3-expansion-mobile/

Artificial Intelligence - StarfiniteX

5/28/2025, 1:28:52 PM

Staring into a small metal orb and hearing it confirm your humanity is a scene from many a dystopian science fiction story. It's also an idea that OpenAI CEO Sam Altman thinks should be implemented in real life 😂 Read more ➡️ https://www.techradar.com/computing/artificial-intelligence/sam-altmans-newest-venture-has-built-a-robot-to-decide-if-youre-human?utm_source=WhatsApp&utm_medium=Social&utm_campaign=WhatsApp

Artificial Intelligence - StarfiniteX

5/24/2025, 2:04:53 PM

xAI confirms issue with "Sign in with X" on Grok https://status.x.ai/single-sign-on/INC594ef635

Artificial Intelligence - StarfiniteX

5/31/2025, 10:19:51 AM

Introduction to AI Fluency with Anthropic https://www.anthropic.com/ai-fluency/introduction-to-ai-fluency

Artificial Intelligence - StarfiniteX

5/23/2025, 9:48:45 AM

https://www.anthropic.com/news/claude-4 Claude Sonnet 4 Released

Artificial Intelligence - StarfiniteX

5/17/2025, 1:02:07 PM

😂