TechWayfarer (Rishi) @techwayfarer
🤖 "Exploring the Frontier of AI & Tech | 🌍 Bridging Human & Artificial Intelligence | #TechEnthusiast #AIAdvocate | Views are my own." Joined January 2024-
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By popular request: you can now branch conversations in ChatGPT, letting you more easily explore different directions without losing your original thread. Available now to logged-in users on web.
By popular request: you can now branch conversations in ChatGPT, letting you more easily explore different directions without losing your original thread. Available now to logged-in users on web. https://t.co/CpVehkULOB
We know that AI will create lots of new jobs, yet also create disruption. We’re announcing the OpenAI Jobs Platform to connect AI-ready workers with companies who need AI skills, and OpenAI-Certified for workers to learn and demonstrate their AI skills. openai.com/index/expandin…
~40% of daily code written at Coinbase is AI-generated. I want to get it to >50% by October. Obviously it needs to be reviewed and understood, and not all areas of the business can use AI-generated code. But we should be using it responsibly as much as we possibly can.
Regardless of whether current AI Labs fail (and there is no indication they are at risk) & even if AI development stops (more unlikely), things will keep getting weirder: today's models are good enough for long-term disruption, and the weights & infrastructure aren't going away.
Curious to see how Nano banana performs outside demos. If it scales reliably, it may solve many of the bottlenecks that have limited real world AI image generation so far.
Curious to see how Nano banana performs outside demos. If it scales reliably, it may solve many of the bottlenecks that have limited real world AI image generation so far.
The #1 reason Gen AI is failing in large companies is that they have NO CLUE how to apply AI - They won't use SOTA models for "security" reasons - some of them are on-prem dinosaurs - They have data in legacy systems - can't upgrade and adapt quickly They end up trying some…
OpenAI's GPT-5 Bio Bug Bounty Program starts today (August 25, 2025) - an application and invite-only challenge for vetted bio red-teamers to identify one universal jailbreaking prompt answering all ten bio/chem safety questions without prompting moderation, with rewards up to…
Hot take: In 3 years, not knowing how to use AI will be like not knowing how to use Google in 2010. But here's what everyone gets wrong - it's not about "prompt engineering" or whatever buzzword course you're selling. It's about developing AI intuition, just like we developed…
BREAKING: Google just turned Gemini into a full-blown AI school system. Teachers can now assign AI experts to students. Students can auto-generate quizzes and visual explainers. And it's all free in Google Workspace for Education. Here’s what just dropped 👇
There's a new stealth model in Cursor from one of our partners. It's free to try, let us know what you think!
New OP vibe coding setup: -> Cline as the harness -> GPT-5 for planning -> Claude Sonnet 4 for acting Try it, trust me.
A true sapient agent doesn’t just parse language. It parses mood. That’s sentiment as metadata driving the dialogue loop. Agent sentiment≠ smiley faces. It’s context vectors, reinforcement signals, and adaptive state machines shaping how an agent responds, not just what it says.
Working at Crossover taught me something the traditional office culture never wanted anyone to know: Neurodivergent 'weaknesses' in the workplace are really strengths in hostile territory. Look at the numbers and tell me this isn't a crisis: - 63% of neurodivergent workers…
Practical Implications - CoT may still help weaker or older models, but at a cost. - For advanced reasoning models: Explicit CoT prompts add little or no value and may reduce reliability. For prompt design: * Avoid suppressing reasoning (e.g., “just give the answer”). * Use CoT…
Practical Implications - CoT may still help weaker or older models, but at a cost. - For advanced reasoning models: Explicit CoT prompts add little or no value and may reduce reliability. For prompt design: * Avoid suppressing reasoning (e.g., “just give the answer”). * Use CoT…
Imagine if Google knew your life story. Now give it intuition. That’s a Sapient Agent. #FutureOfAI #SapientAgent
Gmail, Google Calendar, and Google Contacts are now available to connect and use in chat for ChatGPT Pro users where ChatGPT will automatically reference them when relevant, beginning to roll out globally this week followed by Plus, Team, Enterprise, and Edu plans in the coming…
Most use cases don't need fine-tuning. Before you look into fine-tuning, try the following: 1. Better prompts 2. Richer context 3. A more suitable model Fine-tuning is expensive, brittle, and often unnecessary. It should be the last thing you try, not the first.
Good news! GPT-5 should now be significantly faster in Cursor. Big thank you to OpenAI for rolling out improvements to caching and API latency! P95 is ~2x faster versus before.
Biggest hurdle is no longer writing code, it’s distribution, discovery & quickly getting large value of out software - Apple App Store & steam are too slow to publish - Internet & social media is hard to discover apps and use - vibe coded apps struggle to compete
Something AI highlights is those people who are 'coasting' through work with buzz words, because when they post their 6 'powerful' NotebookLM features, it's obvious they're not applying them, or critiquing their output. AI empowers those who know, it fools those that don't.
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