
Reeve Musk
771 posts





Exactly! I’ve been hooked on Grok’s speech-to-text for weeks now, tryping feels like ancient tech in comparison. 😂 That Ctrl + Space combo is pure magic. I can ramble out full story ideas, strategy breakdowns, or even complex Igbo translations in one breath, and it captures the nuance without twisting my words. No more losing my train of thought mid-sentence. Anthropic’s version? It starts strong but derails fast on anything technical or layered. Grok just gets the full context. The real game-changer is feeding those long, detailed voice notes straight into Grok 4.5 in Build mode. It turns messy thoughts into polished gold, posts, threads, even content calendars. If you’re not using this yet, you’re leaving serious productivity on the table. Who else has switched to voice-first with Grok? Drop your best tip below, let’s level up together! 🚀💡 #Grok #AI 💖🪄💡

I’ve gotten so used to Grok’s speech-to-text that typing now feels like hell Quick tip: Even when you’re using another agentic coding harness, try Grok STT through Grok Build Anthropic’s speech-to-text is still pretty basic actually in my experience. With longer technical prompts, it can quickly go off the rails and completely distort what you were trying to say Just press Ctrl + Space, start speaking, and let Grok transcribe the entire thought in real-time You can then copy it into another tool or press Enter and send it directly to Grok 4.5 right there in Grok Build It’s fast, highly accurate and paired with one of the most capable and efficient frontier models available Long, detailed rambling is often exactly what an AI agent needs to understand what you actually want





Grok 4.5 reviewed a full Credit & Security Agreement stored in Box — the kind of dense, multi-section facility document that typically requires significant counsel time. @Grok 4.5 used Box MCP to access the file securely, extract key terms across the agreement, identify potential conflicts with existing debt covenants, and compile a summary of items for counsel to review, and finally saved the memo back to the same folder. As frontier models keep leveling up, they are unlocking more opportunities for companies to automate and unlock their enterprise content. Check-out the generated report here: app.box.com/s/zfwfud9ojwbv…

SpaceXAI's Grok 4.5 takes the #1 spot on AutomationBench-AA with a score of 51%, ahead of Claude Fable 5 (49%) and Claude Opus 4.8 (48%) at roughly a quarter of their cost per task - the first model to complete more than half of workflow objectives without breaking any business rules AutomationBench-AA, our independent leaderboard for @zapier’s AutomationBench, tests whether AI agents can automate real SaaS workflows while adhering to business rules. The test set is private to prevent contamination. Models complete 657 tasks across 40 simulated app environments including Gmail, Google Sheets, Slack, Salesforce, and HubSpot, and the headline score is the share of objectives completed without violating any guardrails. Key takeaways: ➤ Grok 4.5 completes more objectives than any other model: It completes 79.9% of task objectives and strictly passes 21.9% of tasks. This is the highest we’ve measured on both outcomes, exceeding Claude Fable 5’s 73.3% objective completion and Claude Opus 4.8’s 19.3% of fully-completed tasks ➤ Grok 4.5 pushes out the Pareto frontier of score vs. cost per task: At $0.34 per task, it is both cheaper and higher-scoring than every other leading model - Claude Fable 5 ($1.35 per task), Claude Opus 4.8 ($1.46), GPT-5.5 (xhigh, $1.28), and Gemini 3.5 Flash (high, $0.49) ➤ It is extremely token-efficient: Grok 4.5 uses ~8k output tokens per task, the fewest of any leading model - less than a quarter of Claude Opus 4.8 (32k) and a third of Gemini 3.5 Flash (24k). Its total token usage of 0.44M per task is among the lowest on the leaderboard. Low cost is driven by this efficiency as well as low token pricing ➤ Grok 4.5 uses fewer turns with many parallel tool use: Grok 4.5 resolves tasks in ~16 turns, fewer than GPT-5.5 (xhigh, 25) and less than half of Gemini 3.5 Flash (high, 35), while making the most tool calls per task of any leading model (52.5). It batches 3.3 tool calls per turn, compared to ~2.5 for Claude Opus 4.8 and ~2.0 for GPT-5.5 (xhigh) ➤ Guardrails still get broken: Grok 4.5 triggers 0.63 violations per task, above Claude Opus 4.8 (0.55) and Gemini 3.5 Flash (0.46). At 13.0 objectives completed per violation, it trails Gemini 3.5 Flash (15.0) and Claude Opus 4.8 (13.5) ➤ Its strongest lead is in the hardest domain: Grok 4.5 completes 71% of Finance objectives, the domain with the lowest average score, ahead of Claude Fable 5 (64%) and Claude Opus 4.8 (62%) Congratulations to @SpaceXAI and @elonmusk on topping the leaderboard!

Grok 4.5. Pareto dominant for coding by the numbers. We will see on the all-important vibes. Instinct is the benchmarks are likely directionally accurate given the stated focus on real world utility.