RT @Hesamation: Mythos, regulate something. make no mistakes.

SpaceX drops the hypiest IPO filing and says "we believe we have identified the largest TAM in human history", and you're like, my interplanetary east India company, what delectable spice have you decided to ship across the stars, and it's like... 22 trillion dollars of b2b saas

Canada is an endless system of kind lies. We will never level up unless we are able to speak honestly. Growth requires discomfort.

Everyone say a prayer for the investment bankers who will need to work this weekend on Gamestop / Ebay

this feels like what is happening in quantum computing right now

Tired of just running Bell states (I know, I know, my intro tutorials are part of the problem…need to make deeper tutorials) So, want to work on a real enterprise quantum problem? Here’s another challenge! The Quantum Insider just launched the 2026 Global Quantum AI Challenge, and the problem statements are coming from Airbus, Cleveland Clinic, E.ON, HSBC, and Volkswagen Group. They will award $200,000 in total prize money. Applications open now. Tag someone who should be building something here, or find your collaborator below! ⬇️

$200k in prize money up for grabs!

The Quantum Insider Announces the 2026 Global Quantum AI Challenge ❗️ Launched today, the 2026 Global Quantum AI Challenge is designed to accelerate the shift from quantum theory to enterprise-ready solutions by connecting real industry problems with global technical talent. Key points: 🔹 Year-long, two-phase program from ideation to PoC 🔹 Focused on real enterprise challenges where performance matters 🔹 Collaborations with Airbus, Cleveland Clinic, e.on, HSBC, and Volkswagen Group 🔹 $200,000 prize pool across five tracks 🔹 Unites enterprises, researchers, startups, and providers 🔹 Supported by Amazon Web Services (AWS) Braket and Classiq 🔹 Supported by SC Quantum and Mitre Applications are now open. Teams can review full problem statements, eligibility criteria, and submission guidelines and submit proposals via quantumai.thequantuminsider.… #GlobalQuantumAiChallenge

😅

Interesting

You’re absolutely right

Judging by my tl there is a growing gap in understanding of AI capability. The first issue I think is around recency and tier of use. I think a lot of people tried the free tier of ChatGPT somewhere last year and allowed it to inform their views on AI a little too much. This is a group of reactions laughing at various quirks of the models, hallucinations, etc. Yes I also saw the viral videos of OpenAI's Advanced Voice mode fumbling simple queries like "should I drive or walk to the carwash". The thing is that these free and old/deprecated models don't reflect the capability in the latest round of state of the art agentic models of this year, especially OpenAI Codex and Claude Code. But that brings me to the second issue. Even if people paid $200/month to use the state of the art models, a lot of the capabilities are relatively "peaky" in highly technical areas. Typical queries around search, writing, advice, etc. are *not* the domain that has made the most noticeable and dramatic strides in capability. Partly, this is due to the technical details of reinforcement learning and its use of verifiable rewards. But partly, it's also because these use cases are not sufficiently prioritized by the companies in their hillclimbing because they don't lead to as much $$$ value. The goldmines are elsewhere, and the focus comes along. So that brings me to the second group of people, who *both* 1) pay for and use the state of the art frontier agentic models (OpenAI Codex / Claude Code) and 2) do so professionally in technical domains like programming, math and research. This group of people is subject to the highest amount of "AI Psychosis" because the recent improvements in these domains as of this year have been nothing short of staggering. When you hand a computer terminal to one of these models, you can now watch them melt programming problems that you'd normally expect to take days/weeks of work. It's this second group of people that assigns a much greater gravity to the capabilities, their slope, and various cyber-related repercussions. TLDR the people in these two groups are speaking past each other. It really is simultaneously the case that OpenAI's free and I think slightly orphaned (?) "Advanced Voice Mode" will fumble the dumbest questions in your Instagram's reels and *at the same time*, OpenAI's highest-tier and paid Codex model will go off for 1 hour to coherently restructure an entire code base, or find and exploit vulnerabilities in computer systems. This part really works and has made dramatic strides because 2 properties: 1) these domains offer explicit reward functions that are verifiable meaning they are easily amenable to reinforcement learning training (e.g. unit tests passed yes or no, in contrast to writing, which is much harder to explicitly judge), but also 2) they are a lot more valuable in b2b settings, meaning that the biggest fraction of the team is focused on improving them. So here we are.