Turns out fear-based AI marketing works. Sometimes the regulator believes you.

The scary part about Anthorpic's Fable nerf is not that it refuses to answer biology or cryptography. It's that it foreshadows what's coming. A world where a couple companies decide what you can and cannot do. They're building a new ruling class and you're not in it...

Can't wait for gpt 5.6 to be released this week and crush fable while maintaining same cost as 5.5

1/ Just like how we dived into the Perp Dex landscape, we decided to dive into Options: in particular @KyanExchange it offers 1. No fees 2. Full portfolio margin 3. Combo trades up to 7 legs with perps 4. Custody of assets and more If you are looking to get into options, feel free to check out the @epochbiz report below to learn more about the unique features on kyan.blue/

Just in case you aren't already burning your Claude tokens fast enough

Krystal farming is live. Every trade counts.

Anthropic added to Claude a new "ultracode" effort level to help you speedrunning your way back to Codex by one shotting your usage limit in one prompt 😄

My take is that options are inherently a sophisticated product. They are undisputedly the best instrument for hedging, capital management, yield, and speculation, as proven by TradFi volumes. Until about a year and a half ago, there were no onchain options toolkits sufficient enough for sophisticated traders. Portfolio margin is an essential piece of the puzzle alongside things like execution and settlement on par with CEXs. That just didn’t exist before. And while they can be a directional instrument, purely directional crypto-native retail traders lack the incentive to switch from perps to options. Now that we have the tools that players with actual size need, it’s up to spreads and orderbook depth. We have the latency and risk engines to match CEXs. It’s also about tenure and building institutional trust over time, but we’re closer to a giant leap in adoption than ever before. If you’re interested in more stats to contextualize my comment, I wrote a piece on this topic that’s pinned on my profile.

Time to buy some puts on @KyanExchange Try it out if you like options (small size for now)

I've been treating AI work from the beginning as the work of an intern, and that has worked out pretty well. Sometimes if the feature is complex I first do a pass of light scaffolding where i start to structure the code how I want it, and leave placeholders. LLMs thrives around structure, as they are designed to recognize patterns. From my experience, if you design a whole new feature and the AI can't really find proper structure around it in your codebase, result quality will be much lower. I then make Codex do most of the implementation work, and do a very light review myself, to make sure the code is not unnecessarily bloated. If codex doesn't structure the code the way I imagined and I can think of a more efficient way to do it, I'll guide it. Then in a new session I ask codex to review the changes compared to the base branch, most of the time he will find issues, in which case I make him fix what's worth fixing, always making sure the fix doesn't lead to unnecessary bloat through a very light review I then trigger a new review in a new session, and keep repeating this until there are no more issue worth fixing. When codex is done fixing issues, I then usually make Claude do a pass of review. Claude is usually much more nitpicky and often a lot of his findings are not really worth fixing. So I feed the output to Codex, and ask it to review what is valid and worth fixing. In some case, it will highlight a valid problem than Claude found and Codex missed. Once all those steps are completed and both Codex and Claude don't find any meaningful issue anymore, I'll do a manual very in-depth review myself, in the same manner I would review the PR of an intern. Then another person from the team will also do another pass of manual review on my PR before it is merged. Ultimately, I think it also depends on what type of software you are working. I could probably live with few less pass of reviews that I am currently doing if I wasnt working on a financial app like @KyanExchange where there is no room for mistake.

It never ends

Kyan's liquidation orders are queryable: WebSocket orders channel or REST open-orders. Filter liquidation=true. When an account hits liquidation the system first tries to delta hedge it. If that fails, the orders post as limits with a delta-scaled taker incentive (~20% max).

Vol was meant to be sold. Marty Andrew from Block Scholes on this week's Options Talk: BTC ran 30% through war with vol collapsing every week, ETH/BTC vol parity is here, and MicroStrategy might be the silent vol seller nobody can see. Summary of the last Options Talk: x.com/KyanExchange/status/20…

After 30 years on Windows, I just got my very first MacBook. Any must-know tips, apps, or MacOS tricks for someone making the switch?

Standard retail options fee: ~3 bps. Kyan: 0.25 bps to the insurance fund and that's it - zero fees besides that. For anyone selling weekly puts as a strategy, the fee delta is your edge here. Run the math on your last 100 short-dated trades. x.com/KyanExchange/status/20…

No month-long investigation No gaslighting users into thinking the regression was imaginary Codex got worse, people complained, OpenAI found the issues, fixed them, and said so At this point, using anything else is basically a paid suffering kink