Onsteps

reg arb on rwas that’s the only frontier available. bybit already started so is binance with metals but it’s gonna be a slow burn for them because well they’re cucked by regs since theyve been around much longer than hype.. they do anything shady and they get a call from the cftc x doj. hip3 is fun because anyone can download a wallet load up 10k and yolo in no kyc .. that setup clearly won’t last forever and a punter is stupid to underwrite hype like it will. 🤷

Read the full report: messari.co/40TiZRX

Paradex rolled back its chain after a post-maintenance pricing glitch triggered mass liquidations that were not tied to real market moves. The incident highlights how automation can amplify software failures in leveraged crypto trading crispybull.com/paradex-chain-…

June 1980: OPEC, Gold, & Unravelling Western Alliance "Gold is the ultimate financial 'insurance policy'..." #Gold fell -70% from peak to 1999 trough.

Researchers built a hybrid quantum AI to pick stocks but found it actually loses to older classical models. This research, presented at NVIDIA's GTC 2026, introduces a hybrid quantum-classical financial agent for stock market prediction. It uses quantum reinforcement learning on 18 years of Taiwan stock data and trains on accessible GPUs. - The agent combines quantum reinforcement learning with classical neural networks, running on NVIDIA RTX 3090 GPUs. This approach makes advanced quantum techniques available without specialized equipment. - Training completes in 20 hours using GPU-accelerated quantum simulation via NVIDIA's CUDA. This is faster than traditional methods, which can take days or weeks. - The agent is evaluated on 18 years of Taiwan stock market data for sector rotation. It uses quantum circuits for pattern recognition alongside classical algorithms like PPO. Demonstrates scalable hybrid models, potentially advancing areas like portfolio optimization and real-time trading. ---- Paper Link – arxiv. org/abs/2506.20930 Paper Title: "Quantum Reinforcement Learning Trading Agent for Sector Rotation in the Taiwan Stock Market"

Prediction markets revenue* (last 30) 1. @Kalshi $110m 2. @Polymarket $4.2m 3. @cryptocom $4.1m 4. @opinionlabsxyz $1.3m 5. @trylimitless $1.1m 6. @IBKR $597k

50% of all relationship advice on Reddit is “leave.” 15 years of data, 52 million comments, and the trend line only goes one direction. A researcher filtered r/relationship_advice down to 1,166,592 quality comments and tracked what people actually recommend. In 2010, “End Relationship” sat around 30%. By 2025, it’s approaching 50%. “Communicate” dropped from 22% to 14%. “Compromise” collapsed from 7% to 3%. “Give Space” fell from 25% to 13%. Every category that requires patience lost ground every single year. The one category growing faster than “leave” is “Seek Therapy,” which went from 1% to 6%. The subreddit is slowly learning to say “this is above my pay grade.” Train a model on this dataset and it would absolutely tell people to break up. The training data is 50% “leave” and climbing. The model wouldn’t be broken. It would be accurately reflecting what 52 million commenters actually believe about your relationship. A 50% prior that you should leave, a 14% prior that you should talk about it, and a 6% prior that you need a professional. That’s not LLM psychosis. That’s the median human opinion on your relationship, backed by the largest advice dataset ever assembled.

I hope this is real but skeptical too. You can get a generalized immune response from mrna vaccines which could be the case. For example, I think we will find in the future that people who took covid mrna are going to have better health outcomes than those who didnt. Adjuvants can also have unexpected positive effects. Anyway this is a cool story but the jump to “we can now use chatgpt to cure cancer” is off the rails

@EganPeltan Paul used AlphaFold for structural modelling of mutated proteins, then used molecular docking simulation to find small molecule inhibitors. We then validated the neoantigens before producing the mRNA-LNPs and administering the vaccine.

@iskander Alphafold cannot do mutational analysis from genomic reading - lot of hype - he is pitching to investors already in his google form..

1928-1938: Phelps Dodge

a hacker uses claude to find a bug -> reports it. the triager uses claude to validate it -> confirmed. the developer uses claude to verify, agrees -> patch shipped. and all of them did thier job except it wasn't a vulnerability, there was no job, all of them consulted one oracle to validate the information and had shared psychosis together because their source of information is one in different layers. now apply this everywhere, programming, governemnts, medicine, etc. different people asking the same oracle independently, and all grounding their reality to an LLM. there is a good chance whole new startups are in this shared delusion spinning out of these llms, even their customers using llm to make their buying decision. we once built religions out of information scarcity. now it seems we have information abundance but lacking comprehension, and we’re building new kind of religions?

💥 BREAKING: The Dubai Real Estate Index crashed 32% since the Iran war started.

funny how i see the same 30 people from pre-2021 still showing up every day meanwhile everyone else showed up for the rugs and grift and now they're gone everything changes in crypto except the people who actually matter

@flavioAd i noticed exactly the same thing recently. some of my dev friends don’t know what claude code is! i was so suprised the rest of them usually use it in a very basic way. no skills, no agents, no rules. just ‘do this please’ and fixing the outcome by hand later we’re in a bubble

@flavioAd i got this internship and nobody knew about gemini-cli, claude, codex, opencode lol, and the interviewer told me that we fully support development with ai tools.

@flavioAd Most people still prompt AI models without leveraging prompt techniques. Just zero shot prompts hoping to get a win on the slot machine.

If you feel behind with AI, read this. I was talking to a dev from a big company here in Italy and he told me their company had “invested in AI” by giving everyone a Gemini plan, but he had never used Claude and didn’t know what Codex was. It made me realize how easy it is, when you’re surrounded by founders, obsessed devs, early adopters, and people trying every new model the day it drops, to mistake that level of attention for normal, when it’s actually rare. And after a while, you start feeling like everyone else is late, when in reality most people are still judging these tools based on a version they saw 2 years ago and never revisited, not because they’re dumb or lazy, but because for many this is just a job, not an obsession We’re not the average user on here, not even close

digg re-launched a few months ago no one noticed they have now re-shutdown, have "significantly downsized the digg team", and are blaming "sophisticated ai agents" for it