vj_baski

AI is making CEOs delusional

Realizing @Amul_Coop 75% Dark Chocolate out of stock... Make Amul Great Again🍫 #Amul #DarkChocolate

New language is yet to be born, better than English #must

OpenClaw 2026.3.13 🦞 👁️ live Chrome session attach — real logins, one toggle, zero extensions 📱 android redesigned & down to 7MB, iOS gets welcome pager 🐳 docker timezone override 🪟 windows gateway tweaks the lobster sees all now github.com/openclaw/openc…

The hottest new programming language is English

I hope someone makes this work!

AI assistants like Claude can seem shockingly human—expressing joy or distress, and using anthropomorphic language to describe themselves. Why? In a new post we describe a theory that explains why AIs act like humans: the persona selection model. anthropic.com/research/perso…

i lived through bc. **Before claude

Here's my conversation with Peter Steinberger (@steipete), creator of OpenClaw, an open-source AI agent that has taken the Internet by storm, with now over 180,000 stars on GitHub. This was a truly mind-blowing, inspiring, and fun conversation! It's here on X in full and is up everywhere else (see comment). Timestamps: 0:00 - Episode highlight 1:30 - Introduction 5:36 - OpenClaw origin story 8:55 - Mind-blowing moment 18:22 - Why OpenClaw went viral 22:19 - Self-modifying AI agent 27:04 - Name-change drama 44:15 - Moltbook saga 52:34 - OpenClaw security concerns 1:01:14 - How to code with AI agents 1:32:09 - Programming setup 1:38:52 - GPT Codex 5.3 vs Claude Opus 4.6 1:47:59 - Best AI agent for programming 2:09:59 - Life story and career advice 2:13:56 - Money and happiness 2:17:49 - Acquisition offers from OpenAI and Meta 2:34:58 - How OpenClaw works 2:46:17 - AI slop 2:52:20 - AI agents will replace 80% of apps 3:00:57 - Will AI replace programmers? 3:12:57 - Future of OpenClaw community

last one for today, 💬 imsg cli got some upgrades! new: Typing indicators, reactions and events, for all the iMessage claw gang BlueBubbles is a great alternative plugin (openclaw plugins list) Verdict's still out what will be the longer-term default. github.com/steipete/imsg/…

All of Golden teeth out v"''v #timber

Google just quietly dropped an AI that runs on your Mobile and doesn't need the internet. - 270 million parameters. - 100% private. - No servers. - No cloud. - No data leaving your device. It's called FunctionGemma. Released December 18, 2025. And it does something wild: It turns your voice commands into REAL actions on your phone. No internet required. No data leaving your device. No waiting for servers. Just you and your phone. That's it. Let me break down why this matters: Current AI assistants work like this: You speak → Words go to the cloud → Server processes → Answer returns The problem? → Slow (internet round-trip) → Privacy nightmare (your data travels everywhere) → Useless offline (no signal = no help) FunctionGemma flips this completely. Everything happens ON your device. Response time? 0.3 seconds. Battery drain? 0.75% for 25 conversations. File size? 288 MB. That's smaller than most mobile games. Here's how it actually works: Step 1: You say "Add John to contacts, number 555-1234" Step 2: FunctionGemma understands your intent Step 3: Translates it to code your phone understands Step 4: Your phone executes it instantly Step 5: Done. Contact saved. No cloud involved. The numbers that blew my mind: • 270M parameters (6,600x smaller than GPT-4) • 126 tokens per second • 85% accuracy after fine-tuning • 550 MB RAM usage • Works 100% offline But here's the real genius: Google calls it the "Traffic Controller" approach. Simple tasks? → Handled locally (instant + private) Complex tasks? → Routed to cloud AI (when needed) Best of both worlds. What can it actually do? → "Set alarm for 7 AM" ✓ → "Turn off living room lights" ✓ → "Create meeting with Sarah tomorrow" ✓ → "Navigate to nearest gas station" ✓ → "Log that I drank 2 glasses of water" ✓ All processed locally. All private. All instant. The honest limitations: → Can't chain multiple steps together (yet) → Struggles with indirect requests → 85% accuracy means 15% errors → Needs fine-tuning for best results But that 58% → 85% accuracy jump after training? That's the unlock. Why should you care? This isn't about one model. It's about a fundamental shift: OLD thinking: Bigger AI = Better AI NEW thinking: Right-sized AI for the right job A tiny 270M model trained for YOUR app can outperform a general 7B model. While using 25x less memory. While running completely offline. While keeping all data private. The future of AI isn't just in data centers. It's in your pocket. And it just got a lot more real. Want to try it? → Download: ollama pull functiongemma → Docs: ai.google.dev/gemma/docs/fun… → Model: huggingface.co/google/functio… PS:) Like, Repost and Bookmark! If this was useful - Follow for more AI breakdowns

China's GPU maker Moore Threads has released a new generation of GPU architecture "Hua Gang". The new architecture has a new generation of instruction set, with a 50% increase in computing density, a 10-fold improvement in energy efficiency, and integrates full-precision end-to-end acceleration technology and a new generation of asynchronous programming model, supporting intelligent computing clusters with a scale of more than 100,000 cards. #CHINA #AI #GPU

A Journey to 2026: navigating the ai revolution🧵

Releasing a new "Agentic Reviewer" for research papers. I started coding this as a weekend project, and @jyx_su made it much better. I was inspired by a student who had a paper rejected 6 times over 3 years. Their feedback loop -- waiting ~6 months for feedback each time -- was painfully slow. We wanted to see if an agentic workflow can help researchers iterate faster. When we trained the system on ICLR 2025 reviews and measured Spearman correlation (higher is better) on the test set: - Correlation between two human reviewers: 0.41 - Correlation between AI and a human reviewer: 0.42 This suggests agentic reviewing is approaching human-level performance. The agent grounds its feedback by searching arXiv, so it works best in fields like AI where research is freely published there. It’s an experimental tool, but I hope it helps you with your research. Check it out here: paperreview.ai

A number of people are talking about implications of AI to schools. I spoke about some of my thoughts to a school board earlier, some highlights: 1. You will never be able to detect the use of AI in homework. Full stop. All "detectors" of AI imo don't really work, can be defeated in various ways, and are in principle doomed to fail. You have to assume that any work done outside classroom has used AI. 2. Therefore, the majority of grading has to shift to in-class work (instead of at-home assignments), in settings where teachers can physically monitor students. The students remain motivated to learn how to solve problems without AI because they know they will be evaluated without it in class later. 3. We want students to be able to use AI, it is here to stay and it is extremely powerful, but we also don't want students to be naked in the world without it. Using the calculator as an example of a historically disruptive technology, school teaches you how to do all the basic math & arithmetic so that you can in principle do it by hand, even if calculators are pervasive and greatly speed up work in practical settings. In addition, you understand what it's doing for you, so should it give you a wrong answer (e.g. you mistyped "prompt"), you should be able to notice it, gut check it, verify it in some other way, etc. The verification ability is especially important in the case of AI, which is presently a lot more fallible in a great variety of ways compared to calculators. 4. A lot of the evaluation settings remain at teacher's discretion and involve a creative design space of no tools, cheatsheets, open book, provided AI responses, direct internet/AI access, etc. TLDR the goal is that the students are proficient in the use of AI, but can also exist without it, and imo the only way to get there is to flip classes around and move the majority of testing to in class settings.

B200/H100 or Siyuan. Either way, wear a jacket ❄️📉

Doot-doot, doo-doo-doo 67... that's the sound of WINNING 🥁

Secure enterprise browsers were never a real category, and now AI browsers will be the last nail in the coffin.

Retirement plan isn't a 401k no more, it's a 4-Bot Fleet. 🤖