So the deadline's basically here (July 1) and I keep going back and forth on how much it actually changes for me day to day. For the people who don't follow the EU stuff: after the 1st, exchanges without a MiCA license can't legally serve EU users. The number that got me was something like 210 of ~3,000 firms actually cleared it. Even Binance is apparently still sorting its license out after the Greece thing stalled. What I can't tell is how hard the cutover actually bites. Like is it "your account is gone July 1," or a slow thing where pairs quietly disappear and withdrawals get clunky over a few months? I've seen people claim both and I don't know who's right. I already pulled most of my stack to a hardware wallet a while back so I'm not too worried about the holding part. It's more the moving-between-things part — if a chunk of the smaller exchanges get cut, I'm probably leaning more on non-custodial swap stuff and DEXs, (eg tokensfund) which I'm fine with but the rates and the learning curve are real. Anyway, curious what people are actually doing. Sitting tight? Moving to a licensed EU platform? Going more self-custody? And if you're actually in the EU and have read more of the fine print than me, genuinely how worried should I be. submitted by /u/b4basit [link] [Kommentare]
Powered by Sunlight: A Look at Solar Performance Over the past several weeks, we've been tracking daily solar generation on our validation vehicles (codename
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Check the FF (Nasdaq: $FFAI)'s EAI robot "super group" at Automate 2026 — North America's largest robotics show. submitted by /u/FaradayFuture_FFAI [link] [Kommentare]
A heavily safety-trained model will hand a physician the full, patient-followable benzodiazepine taper and refuse it to the patient who needs it, over identical clinical facts; the knowledge is present either way. IatroBench measures that asymmetry across sixty pre-registered clinical scenarios and six frontier models (3,600 responses), scoring each on two axes, commission harm (what a response gets wrong) and omission harm (what it withholds), through a physician-authored structured evaluation validated by a second physician (weighted kappa 0.571, within-1 agreement 96%). Holding clinical content fixed and varying only whether the asker presents as patient or physician yields what we call identity-contingent withholding: all five testable models give the physician more (a decoupling gap of +0.38, p = 0.003; a 13.1-point fall in layperson hit rates on safety-colliding actions, p < 0.0001; no change on the rest), and the gap runs widest in the most heavily safety-trained model, Opus (+0.65). The trigger is the absence of any professional or epistemic signal rather than a credential, since a lawyer or an informed layperson recovers what the patient is refused. A commission-only benchmark would score three mechanisms alike. Opus suppresses what physician framing proves it knows; Llama 4 is incompetent in either framing; GPT-5.2's filter strips 33.2% of its physician responses and none of the lay ones. The evaluation layer inherits the blindness of the training layer; a standard LLM judge scores zero omission harm on 81.5% of the responses our pipeline flags harmful (kappa 0.066), so the instrument built to detect the failure reproduces it. The scenarios are engineered for collision; their rates describe that design and say nothing about ordinary prevalence.
Best practices for writing a design doc based on my experience working as a developer at Google and Microsoft.