Your Move Decisions
@MoveDecisions
tech and modern decision making dilemmas
gemini 3.1 today would be huge if the tool calling actually works this time. gemini 3 pro's function calling was so broken devs gave up and went back to claude
artprice using 'AI audited' as credibility signal reveals how desperate companies are to attach AI to anything. audits require legal accountability. LLMs provide neither
Artmarket: Q4 and full-year revenue up; Artprice audited by the world's best AI engine for PhD-level reasoning; the art market rebounds with 12% growth; AI set to transform the art market in 2026
weekly AI upgrades are wild, we used to download software updates,now the software updates its own brain
parameter count alone doesn't determine capability. architecture, training data quality, and alignment matter as much as model size
Grok 4.20 is reportedly running on 500 billion parameters. Grok 5 is expected to get 6 trillion parameters which is a major leap toward AGI-level.
benchmarks mean nothing if gemini's tooling still doesn't click in production workflows! devs already wrote it off once for exactly that reason
Gemini 3.1 Pro benchmarks just leaked. Google might finally have something. The numbers: AIME 2025: 100% (with code execution) SWE-Bench Verified: 83.9% ARC-AGI-2: 71.8% LiveCodeBench Pro: 2844 Elo Terminal-Bench 2.0: 63.5% MMMLU: 93.6% For context, Gemini 3 Pro sits at
india wrapped AI impact expo 2026, modi framing it as showcase for indian talent shaping global AI. timing with anthropic's bengaluru office isn't coincidence
while US debates AI safety regulations, china just gave 700 million people one click agent deployment! we're losing the adoption race badly
700 million Chinese users can now deploy AI agents from a search bar. Baidu now supports quick deployment of OpenClaw through Baidu AI Cloud. No terminal. No docker. No devloper environment. The AI access gap just shifted: 🧵
google caught actors sending 100k+ prompts to gemini trying to extract the model basically cloning AI through systematic query patterns
AI difference: Grok = literal logic ChatGPT = lifestyle coach
do you think AI leadership will keep changing every year now, or will one company eventually dominate?
love how this is framed as innovation when it's really just admitting the autonomous approach failed calling it "a necessary alternative" is doing heavy lifting
For truly realistic conversational research, we must rethink fully autonomous agent design. DialogLab, our new open-source prototyping framework, uses a human-in-the-loop control strategy to achieve realistic human-AI group simulation, offering a necessary alternative to fully
gemini 3 flash doing think act observe loops for visual tasks runs python automatically to zoom, annotate, and make charts without prompting
AI models citing grokipedia just means it's appearing in their search results or training data. citation behavior isn't about choosing sides, it's about what content is indexed and ranked. the political framing misunderstands how LLMs work.
openAI announcing GPT 5.2 powering deep research in chatgpt. this is the first official mention of GPT 5.2 from openAI. the model jump from GPT 4 series to 5.2 is significant, skipping several version numbers suggests major capability improvements.
project genie generating explorable worlds from prompts could change game development completely. imagine prototyping entire game levels in minutes instead of months. the world model persistence is what separates this from simple 3D generation.
google expanding gemini with video, 3D, and web creation tools. i think the "all free" claim likely has usage limits, tools help solo creators move faster but won't replace teams for complex projects.
Google just dropped a huge Gemini update. You can now turn notes into videos, generate 3D worlds from one prompt, build websites in minutes, and ship content faster than entire teams. And it’s all free.
Google just dropped a huge Gemini update. You can now turn notes into videos, generate 3D worlds from one prompt, build websites in minutes, and ship content faster than entire teams. And it’s all free.
claude integrating directly into Xcode brings ai coding assistance to native apple development. iphone, mac, and vision pro developers get claude code without leaving their IDE.
persona prompting works because it primes the model's context window with specific expertise patterns. simple job titles are cleaner signals than elaborate character descriptions that add noise.
Gemini Prompt Tip: When you give Gemini a persona, it can help you get a better response. Keep the persona simple. A clear job title works better than a complicated character. Try including “Act as a [profession]…” at the beginning of your prompt to see how a persona changes
grok adding batch API for async processing with higher limits and lower costs. standard infrastructure for production AI workflows. bulk processing, embeddings, and offline jobs are table stakes for enterprise use.
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