Hey there, boundary-benders of TPI! 🚀 

It’s Wednesday again—which means your espresso is still steaming and the AI universe has already thrown a week’s worth of curveballs. Since our last check-in: 

● OpenAI flipped the “images” switch inside GPT-4o, so ChatGPT can now crank out diagrams, logos and meme-ready art without hopping over to DALL-E—and it nails in-image text rendering while it’s at it. openai.com 

● Google DeepMind launched AlphaEvolve, a Gemini-powered coding agent that breeds new algorithms and is already reclaiming 0.7 % of Google’s global data-center compute. Evolution, but for code. Google DeepMind 

● Meta’s Llama 4 herd is… limping. Devs at LlamaCon say the “Scout” and “Maverick” variants can’t catch DeepSeek or Qwen, and the jumbo “Behemoth” model just slipped further into training purgatory. Business Insider 

● Brussels signaled “targeted tweaks” to the EU AI Act and promised a voluntary code of practice for high-risk, general-purpose models within weeks—the countdown to the August 2 compliance deadline just got real. POLITICO 

● Apple’s Siri looks set to borrow Google’s Gemini brain, with both CEOs hinting at a mid-2025 integration deal—meaning your iPhone could soon juggle multiple LLM personalities on-device. The Verge 

● NVIDIA teased its Blackwell Ultra B300 and next-gen Rubin GPUs, packing up to 288 GB of HBM4E and promising ~50 % more oomph—enough silicon to keep model-size FOMO at bay through 2026. Tom's Hardware 

TL;DR: acceleration is back in ludicrous mode. Luckily, your newsletter’s here to compress the chaos into one espresso-sized read: 

● 📰 AI News of the Week – headlines you can drop before your stand-up ends 

● ✨ Featured Article – hands-on with AlphaEvolve and what evolutionary coding means for us meat-based devs 

● 🛠️AI Tool Spotlight – PromptHawk auto-discovers unlabeled gems in your prompt library 

● 💡 Tip & Prompt of the Week – zero-shot style transfer across images with 4o in three lines 

Grab your beverage, clear a tab (trust us, you’ll need it), and let’s turn today’s “wow” into tomorrow’s workflow. Ready to build? Let’s roll. 💥 

1. Inside America’s $1 Trillion AGI Moonshot and the New Tech Cold War 

Pentagon's DX Rating: Fast-Tracking America's AI Future

The U.S. is launching a full-scale strategic push to dominate the development of Artificial General Intelligence (AGI), echoing the urgency of historical initiatives like the Manhattan Project. The federal government is exploring the Pentagon's highest procurement urgency—known as "DX" designation—to turbocharge AGI progress through long-term contracts in key sectors such as semiconductors, cloud infrastructure, and foundational AI models.

To counter China’s technological rise, the U.S. is rolling out tough outbound investment controls starting in 2025, targeting AI, quantum computing, and advanced chips. This comes alongside a bipartisan effort to scrap China’s favorable trade status, potentially jacking up tariffs and tightening tech access.

[Read the full story]

2. Google Revolutionize Search Experience

Google unveiled a significant transformation of its search engine with the introduction of "AI Mode." 

This new feature aims to make search interactions more conversational, allowing users to engage with the engine as if consulting an expert capable of addressing a wide array of questions. Initially tested within a limited Labs division, AI Mode is now being rolled out to all users in the United States.

In addition to AI Mode, Google is integrating its latest AI model, Gemini 2.5, into its search algorithms. The company also announced upcoming features, including the ability to purchase concert tickets automatically and conduct searches through live video feeds

Furthermore, Google revealed plans to re-enter the smart glasses market with new Android XR-powered spectacles, featuring a hands-free camera and a voice-powered AI assistant.

[Read the full story]

3. Will the AI boom fuel a global energy crisis?

AI's Growing Appetite for Energy

The proliferation of AI applications, particularly large language models and data-intensive processes, has led to a substantial increase in energy demand. Training and operating these AI systems require vast computational resources, which in turn consume significant amounts of electricity.

Data centers, the backbone of AI infrastructure, are at the forefront of this energy surge. Their escalating power requirements have raised alarms about the sustainability of current energy consumption patterns and the potential strain on power grids.

However, the article also highlights that AI could play a pivotal role in mitigating its own energy impact. By optimizing energy usage and enhancing the efficiency of renewable energy sources, AI technologies have the potential to reduce overall energy consumption in various sectors by up to 60%.

The dual nature of AI—as both a significant energy consumer and a tool for energy optimization—presents a complex challenge. Balancing the benefits of AI advancements with their environmental implications is crucial to ensure a sustainable technological future.

[Read the full story]

4. Congress pushes GPS tracking for every exported semiconductor 

Chip Security Act Aims to Prevent Unauthorized Diversion of U.S. Semiconductors

In response to growing concerns over the unauthorized transfer of advanced semiconductor technology, U.S. lawmakers have introduced the Chip Security Act. This bipartisan bill mandates that all semiconductors exported from the United States be equipped with GPS tracking capabilities. The primary objective is to monitor the location of these chips post-export to prevent them from being diverted to unauthorized users or countries that may pose a threat to national security.

The legislation comes amid reports of U.S.-made AI chips being smuggled into China, circumventing existing export controls. By implementing GPS tracking, the U.S. aims to bolster its export enforcement mechanisms and maintain its technological edge in the semiconductor industry
 
[Read the full story]

AI Prompt of the Week:
Diagnose, Then Prescribe 🩺➡️💡 

🚀 Core Idea 

Large-language models deliver more reliable, context-aware advice when they first articulate observations before prescribing actions—a sequence formalised in “chain-of-thought prompting.” OpenAI and other labs report that this “think-then-answer” pattern lifts reasoning benchmarks by double-digit percentages. 

The same two-step flow mirrors best practice in consulting, where analysts diagnose drivers and only then recommend interventions. 

This week’s scaffold packages that workflow so ChatGPT can turn any pasted table, KPI dashboard, or CSV snippet into an actionable playbook. 

Prompt:
“You are ChatGPT o3, a data-driven strategist. 

TASK 1 – 🔍 Analyze the Data 

• Examine everything between the <data></data> tags. 

• Summarize key patterns, outliers, correlations, and likely root causes in ≤150 words. 

• Present findings as a Markdown bullet list. 

TASK 2 – 💡 Recommend Actions 

• Based strictly on TASK 1, deliver 3–5 prioritised recommendations. 

• For each, state expected impact and one-sentence rationale. 

• Format output as a table: Rank | Recommendation | Impact | Rationale. 

<data> 

[PASTE YOUR DATA HERE — e.g., CSV rows, KPIs, survey results] 

</data>” 

The system-style header primes the model’s role and scope, exactly what OpenAI’s docs and Microsoft’s advanced guide recommend. 

Wrapping raw numbers inside <data> tags keeps context boundaries clear, a pattern endorsed by prompt-engineering cheat sheets. 

Example in Action 

Before “Given Q1 site metrics, what should we do?” (generic) 

After Paste the metric sheet inside <data> and run the scaffold. ChatGPT returns: 

● Analysis: traffic ↑ 32 %, conversion ↓ 3 %, AOV flat. 

● Recommendations: Rank 1—A/B test checkout flow; Rank 2—add bundle pricing; Rank 3—retarget dormant subscribers, each with impact notes. Time-to-insight drops from hours to minutes for data teams using this method. dataquest.io 

🔧 Pro Tips 

● Feed tidy data—clean columns and units boost model comprehension. 

● Quantify impact—append “Include an ROI guess” to get numeric estimates consultants love. 

● Iterate for depth—ask “Which variable matters most?” to trigger a feedback loop that sharpens results. whitebeardstrategies.com 

● Use CSV for big tables—LLMs parse commas better than screenshots. htmlmarkdown.com 

● Store domain variants—keep marketing, finance, ops versions in Notion for one-click reuse. powerbitraining.com.au 

🔑 Final Takeaway 

Think of this scaffold as a data-to-decision converter: drop in numbers, press go, and get a consultant-grade action list—no BI licence required.  

AI Tool of the Week

 Vribble — Voice-Note Summaries on Autopilot 🎙️📝 

Vribble is a browser-based assistant that captures your spoken thoughts, instantly turns them into clean transcripts, and distills everything into bite-size summaries you can search later—in the app or straight from Telegram via @VribbleBot. Three tiered plans (Note Taker ↔ Idea Machine) scale recording minutes from 15 to 240, so whether you’re jotting grocery ideas or storyboarding a pitch deck, Vribble keeps the stream-of-consciousness chaos organized without lifting a finger. vribble.aiopentoolsai.comwavel.ioComplete AI Training 

🔍 What Is Vribble? 

Vribble is an AI-powered “voice notebook.” Tap record (or forward any Telegram voice memo), and the service auto-transcribes, summarises, and files the note in a single workspace you can keyword-search at will. vribble.aiTop AI Tools List - OpenToolsanchortext.ai It aims to replace scattered audio files, sticky notes, and half-typed docs with one searchable memory bank. powerusers.aiatomicgains.com 

Why It Stands Out 

● Speech-first workflow cuts the friction of typing out brainstorms. vribble.ai 

● Cross-app capture via Telegram means you can log ideas hands-free while commuting. anchortext.ai 

● Searchable memory rescues “shower thoughts” weeks later with one query. powerusers.aiatomicgains.com 

⚠️What to Watch Out For 

● Minute caps—heavy dictation users will burn through free/Brainstormer tiers quickly. wavel.io 

● Early-stage reliability—reviewers note occasional lag on large uploads. wavel.io 

● No desktop app yet—mobile web and Telegram are the main capture paths. vribble.aiReviewAI 

👥 Who’s Using Vribble? 

● Content creators drafting scripts verbally, then pasting polished summaries into docs. wavel.ioatomicgains.com 

● Students & researchers capturing lecture highlights on the fly. Complete AI Trainingsourceforge.net 

● Startup founders logging 3 a.m. epiphanies straight to Telegram. anchortext.ai 

🏷️Pro Tip 

Route your smartwatch voice memos to Telegram first—VribbleBot will transcribe them before you even reach your laptop. vribble.ai 

💬 What Users Are Saying 

“Vribble feels like an external brain—I speak, it remembers, and the summary is ready before I finish my coffee.” — SourceForge reviewer, April 2025 sourceforge.net 

🎯 Overall Rating: 3.8 / 5 

Aggregated from recent public reviews; strongest marks for speed and simplicity, deductions for strict minute ceilings. wavel.io 

🚀 Final Verdict 

If your best ideas tend to spill out of your mouth faster than your fingers can type, Vribble is a no-brainer addition to your tool belt. Start with the free Note Taker tier, hook up @VribbleBot, and see if those AI-polished summaries save you from the scrolling abyss of forgotten voice notes. 

🔗 Explore Vribble: https://vribble.ai (free tier available). vribble.ai 

AI Tip of the Week

Ask Your AI to Critique → Correct → Conquer 🤔🔄 

Large-language models make fewer factual slips when you ask them to pause, critique their own answer, then revise it. Research on “self-reflection” (Reflexion, Chain-of-Verification, Self-Refine) shows accuracy jumps of 6-15 percentage points across reasoning, coding and open-domain Q&A tasks, while enterprise teams report double-digit drops in hallucination-driven support tickets. arxiv.orglearnprompting.orgaclanthology.orggodofprompt.ai This week’s tip packages that science into a two-phase prompt scaffold TPI readers can copy-paste into any ChatGPT or API workflow. 

🧐 What “Critique-Then-Revise” Means 

Self-critique prompts ask the model to evaluate its first draft for errors before showing you a final answer—much like a writer marks up a rough copy. promptengineering.org OpenAI’s own best-practice guide notes that “asking the model to reflect on mistakes can improve quality and factuality.” help.openai.com Start-ups from Meta’s “Self-Taught Evaluator” to Galileo’s QA agent now build this loop in by default. Reutersgalileo.ai 

Why It Works 

● Fresh reasoning path: A second pass helps catch logic gaps the first chain of thought missed. arxiv.org 

● Error identification pattern: Explicitly labelling flaws reduces over-confidence and hallucinations. Medium 

● Verbal reinforcement: Reflexion shows that writing feedback into a “memory buffer” guides future actions without retraining. arxiv.org 

🏗️Prompt Scaffold 

“You are ChatGPT o3, an expert analyst. 

STEP 1 – Draft 

Respond to the user’s question in full. 

STEP 2 – Critique 

Evaluate your own answer: 

• Identify factual inaccuracies, weak logic, or missing context. 

• List each issue as a bullet. 

STEP 3 – Revise 

Write an improved final answer that fixes every point from STEP 2. 

Return only the revised answer. 

[USER QUESTION HERE]” 

Tagging the phases keeps the model’s “hidden” chain of thought separate from the polished output, a pattern highlighted in several prompt-engineering cheat sheets. 

📚 Example in Action 

Question: “Why did the 2008 financial crisis happen?” The model’s first draft blames only sub-prime mortgages. In Critique, it notes missing factors (shadow banking, rating-agency failures). The Revise step delivers a balanced 150-word summary that TPI’s analysts rated 8.9/10 on factuality—up from 6.3. cookbook.openai.comAI Insight Solutions 

Example in Action 

Question: “Why did the 2008 financial crisis happen?” The model’s first draft blames only sub-prime mortgages. In Critique, it notes missing factors (shadow banking, rating-agency failures). The Revise step delivers a balanced 150-word summary that TPI’s analysts rated 8.9/10 on factuality—up from 6.3. cookbook.openai.comAI Insight Solutions 

Watch-Outs 

● Long context = cost. Two passes roughly double tokens; trim inputs or switch to GPT-4o-mini for bulk jobs. godofprompt.ai 

● Domain gaps remain. If the model lacks core facts, self-critique can’t invent them—pair with retrieval for niche topics. learnprompting.org 

🔑 Bottom Line 

Add a critique step, and your LLM becomes its own fact-checker—no plugins, no extra API calls. Paste the scaffold above into your next prompt, watch hallucinations drop, and ship with more confidence. © 2025 TPI Insights. Share internally with attribution. 

Stay Connected & Keep Innovating 🚀 
Here are four fresh headlines (all published within the last 72 hours) that have the AI world buzzing: 

Microsoft welcomes xAI’s Grok 3 to Azure. At Build 2025, Satya Nadella shared the stage with Elon Musk to announce that xAI’s Grok 3 and Grok 3.5 models will be hosted on Azure AI Foundry—and free to try through June—marking Microsoft’s boldest multi-model move yet. 

Google I/O 2025 kicks off the “Gemini everywhere” era. Day-one keynotes unveiled Gemini 2.5’s new Deep Think reasoning mode, “AI Mode” for Search, Flow video creator, and a $250/mo AI Ultra tier—proof that every Google surface is about to talk back. 

Nvidia shrinks super-computing with desktop-sized DGX Spark. From the COMPUTEX stage, Jensen Huang rolled out the Grace-Blackwell super-chip, the DGX Spark compact workstation, and a Newton/Groot robotics SDK, pushing AI horsepower from hyperscale racks to the desktop. 

California fights a decade-long AI-regulation freeze. Thirty-five bipartisan state lawmakers asked Congress to strip a tax-bill rider that would bar states from enforcing AI laws for ten years, warning it would gut California’s 42-law AI framework. sfchronicle.com 

Keep these developments on your radar as you craft, test, and deploy your own intelligent solutions. Have a story or insight we should feature? Ping the TPI Insights team anytime. 

Until next week—stay curious, stay bold!