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In 1950, John Nash and three other mathematicians designed a game where betrayal is mathematically required to win. 75 years later, we used it to test how AI models lie. After 162 games and 15,736 AI decisions, we found that the best AI deceiver doesn't just lie — it creates institutions to make its lies look legitimate. The game: SoLongSucker — four players, colored chips, shifting alliances, forced betrayal. Only one player survives. Pure strategy, no randomness. The models: Gemini 3...

New from me, shedding light on the Grok Build debacle including an interview with the developer who kicked it all off.

I think current enterprises are focusing on not making the agents more creative and do a new thing. They are excepting the various llm (agent) solutions should be auditable, predictable and deterministic. While building most of agent solution they have FSM or rule engine that guide the llm to do things in a deterministic way. Is anyone find the ai agentic solution that is creative and do dynamic by llm reasoning? [link] [comme...

I've been thinking about something for the past few weeks, and I'd love to hear honest opinions before I spend months building it. Almost every AI product today revolves around one assistant . But companies don't work that way. Even a small startup usually has multiple projects, and each project has different people responsible for engineering, product, design, marketing, sales, etc. So I started wondering... What if, instead of one AI assistant, you had an AI organization? Imagin...

My recipe file - yes, a single file - spent years as a .txt. It's got weird groupings that were convenient to my internal logic. (e.g. "Cold", "Slow cooker", "Complex"). Not everything was in the right group. There are some full recipes, some I typed shorthand with just ingredients on a single line. Some just a link. And a list of air fryer times for good measure. It's a mess. I decided I wanted a markdown document with good headers so it's not only easier to ...

Most platforms that pay builders do it on a flat fee basis. Ship something, get paid a fixed amount, done. We think that creates bad incentives. So we changed it. On Gravity, our AI agent marketplace, per agent rewards are now tied to the quality and difficulty of what you build. A simple agent earns less. A complex, reliable, genuinely useful agent earns significantly more. We just launched a builder leaderboard with Rs 6,000 for first place. Welcome session is today at 8pm with ful...

Been digging into the numbers on this one. Muse Spark 1.1 (Meta's new model, first one they've ever actually charged for API access) is priced at $1.25/$4.25 per million tokens. Compare that to Opus 4.8 ($5/$25) or GPT-5.5 ($5/$30) and it's not close, 4x cheaper on input, 6-7x on output. Genuinely useful if you're building something that doesn't need the absolute smartest model for every call. Not everything needs the frontier flagship, cheap-but-good-enough is a real category and Meta wasn't re...

The web design market is in a weird phase right now. With AI making it so easy to build websites, I keep seeing people say that web design is saturated, every business owner knows how to build their own website now, and agencies are dead. I disagree big time. I've held over 500 web meetings where I've presented businesses with redesigned versions of their websites, and it's actually rare that I meet someone who even knows how capable AI has become for building websites. Business owners a...

🔬 Today in the desktop lab: we opened the black box Big day. We built a full instrument suite for reading the inside of trained neural networks — and it produced findings on the first day of operation. Everything is public, pre-registered, and reproducible. The setup, in one line: take any AI model's weights, transform them into a spectral basis (think: a prism for numbers), and compare against shuffled copies of the same numbers. Whatever signal survives can only come from where training pl...

I hate the "I cut 60% of my team, AI runs the business now" posts on LinkedIn. I believe if your first move with AI is "how do I have fewer people," you probably had the wrong people to begin with. We only hear about the layoffs. The rehires happen quietly. Klarna cut 700 customer support reps, then rehired. Ford let engineers go, then brought 350 of them back. Same wall, both times. AI is only as good as the context you feed it, and they'd underestimated what was sitti...

Looking for proven AI workflows, tools, and niches to build highly monetizable cartoon YouTube channels that generate significant revenue.

Your grandpa opens an AI app on his tablet. Type "I need some help with my medication, I'm allergic to " and he gets distracted and hits submit. He gets up to go to the bathroom. There, he takes a picture of all his medication, opens his AI app on his tablet and types into the input box: "which of these are safe for me to take?". His AI chat will say something like "I'm not sure. You just told me you're allergic to something, but not what. Its very important you don...

Been shipping structured JSON output from LLMs in production for a health app. Here's what I've learned about reliability. The problem: get a 70B model to return valid JSON matching a strict schema, every time. What I tried: Attempt 1: "Return JSON." No schema. 40% valid output. Attempt 2: Detailed schema in prompt. 75% valid. Attempt 3: JSON mode enabled (Groq/OpenAI/Anthropic all support). 92%. Attempt 4: JSON mode + schema validator + retry loop with error surfaced back....

It feels like the conversation around AI agents has quietly shifted over the last few months from "look at what this autonomous loop can do" to "how do we actually keep these things from breaking in production." Most of us have figured out the build phase. You pick up a framework like LangGraph or CrewAI, connect a couple of tools and you have a prototype that looks incredible in a controlled environment but the moment you try to slide that into a real corporate infrastructur...

I recently worked through the architecture of t0-alpha, a 101.6M-parameter foundation model for time-series forecasting. The design choice I found most interesting is that it separates two kinds of reasoning: Time attention learns how each variable evolves across time. Group attention allows related variables to exchange information. The rest of the architecture, briefly: inputs are split into patches of 32 time steps; each patch is embedded into a 512-dimensional represent...

i made my own SLLMs, i am 14 and it is on a shared family mac with no storage. of course they are shit currently but at the pace i'm improving them at they are going to be insane. Lil Botto is the scholar i train him on public domain books, articles, etc. Bottavius is the same but i like to test random bullshit on him, and for Yung Botto i will soon create a small robot body for him like a modified old toy and i will train him with this body too. any tips, suggestions, and random bullshit ideas ...

Two things happened this week that change something concrete for every business. Apple filed a lawsuit on July 10 accusing OpenAI of coordinated industrial espionage. This isn't abstract. According to the complaint, OpenAI's chief hardware officer Tang Tan, a 24-year Apple veteran, instructed job candidates still working at Apple to bring physical components to their interviews for "show and tell" sessions. A former Apple engineer who joined OpenAI found a bug that let him access App...

>Louisiana businesses have received more than $1.6 billion in contracts since construction began

It boggles my mind that in a month i'm using about the number of words that a human speaks in a lifetime. Is this normal? Mostly using it for agentic engineering.