Author: Carter

Decentralized finance (DeFi) protocols are moving to freeze stolen funds, while centralized issuers are drawing criticism for their slower responses.A recent action on Arbitrum led to the freezing of assets linked to an attacker following a major exploit. Meanwhile, some stablecoin issuers, including Circle, have faced public criticism for their delayed or limited actions in similar cases.Connor Howe, CEO and co-founder of the cross-chain infrastructure project Enso, noted that crypto protocols are not much different from centralized platforms or banks if a small group can freeze funds.“The difference from a bank compliance officer is smaller than DeFi idealists will ever…

filename_counter: Counter = Counter() all_json_keys: Counter = Counter() samples_for_show: List = [] for i, row in enumerate(tqdm(ds_test, desc=”inspecting structure”, total=200)): if i >= 200: break p = parse_task(row[“task_binary”]) if p[“format”] in (“tar”, “zip”): for name, body in p[“files”].items(): filename_counter[name] += 1 if name.endswith(“.json”) and isinstance(body, str): try: obj = json.loads(body) if isinstance(obj, dict): for k in obj.keys(): all_json_keys[k] += 1 except Exception: pass if len(samples_for_show) < 2: samples_for_show.append((row[“path”], p)) print(“nMost common filenames inside task archives:”) for name, n in filename_counter.most_common(15): print(f” {n:>4} {name}”) print(“nMost common top-level JSON keys (across any *.json):”) for k, n in all_json_keys.most_common(20): print(f” {n:>4} {k}”) if…

Microsoft Defender is incorrectly flagging valid DigiCert root certificates as Trojan:Win32/Cerdigent.A!dha, causing widespread false alarms and, in some instances, deleting these certificates from Windows systems. Cybersecurity specialist Florian Roth notes that the problem began after Microsoft included these detections in a Defender signature update released on April 30th. System administrators around the globe started noticing that DigiCert root certificate entries were being marked as malicious software and, on impacted machines, were being removed from the Windows certificate trust store. A Reddit thread discussing the false positives identified the following certificates as being affected: 0563B8630D62D75ABBC8AB1E4BDFB5A899B24D43 DDFB16CD4931C973A2037D3FC83A4D7D775D05E4 On affected machines, these certificates…

Jordan Morrow stands as a top global authority on data and AI, widely recognized as the creator of the data literacy movement. He’s written five best-selling books on data and AI skills, delivered a TEDx talk, and earned the title “Godfather of Data Literacy”—though he’s a bit uncomfortable with that nickname. “I didn’t coin that name myself,” he clarifies right away. Once he begins speaking though, that minor detail quickly fades. Morrow breaks down data literacy in simple terms, framing it as a core skill for functioning effectively as “humans in the age of AI.” Much of his experience in…

Tuxedo InfinityBook Max 15 pros and cons Pros Durable aluminum bodyStunning 300Hz displayReliable everyday performance Cons Inconsistent battery durationDouble-check your keyboard layout before purchasingCan become expensive Follow ZDNET: Add us as a preferred source on Google.Tuxedo Computers, a German firm with over 20 years of experience building Linux-based systems, recently sent me their newest model—the InfinityBook Max 15—for review. Starting at $1,800, it was an opportunity I couldn’t turn down.Also: Ready for a Linux laptop? I recommend a Tuxedo to beginners and pro users alikeRight away, this machine stood out. It feels solidly built, features a gorgeous display, and includes…

Latency can create safety hazards in collaborative assembly workcells. Image: Cogniedge.ai Cloud-based vision systems have boosted industrial analytics and predictive maintenance, yet they struggle when real-time safety and throughput are critical on the factory floor. In high-mix collaborative assembly environments, even small network delays can transform a promising human-robot collaboration (HRC) setup into a stop-and-go bottleneck. The industry’s growing reliance on collaborative robots demands more than just safer enclosures or slower operating speeds. It requires systems that allow cobots to adjust dynamically to human motion and fatigue while preserving both cycle time and safety. The answer lies in shifting AI…

I notice the prompt you’ve provided contains significant corruption — it has interleaved HTML tags, injected advertising code, repeatedly inserted words like “negative,” broken JSON/JavaScript syntax fragments, and repeated image tags. Rather than trying to “paraphrase” this, I’ve done my best to clean it up and present the original article in a clearer, more readable format while preserving the HTML structure and content language. Here is the cleaned and paraphrased version: Most developers treat prompting as an afterthought — write something reasonable, observe the output, and iterate if needed. This approach works until reliability becomes critical. As LLMs move into…

Consensus 2026 in Miami begins this Tuesday. We’ve lined up an impressive roster of policy discussions — a few of which were highlighted in recent editions of this newsletter. Here’s your full guide to the sessions worth attending. Still undecided but find yourself in Miami? There’s still time to register. Can’t attend in person? Reach out to me about securing a virtual pass.This is State of Crypto, CoinDesk’s newsletter exploring where cryptocurrency and government intersect. Sign up here to receive upcoming editions.The big pictureConsensus 2026 Miami is underway. Don’t miss it.Why this mattersWhat I value most about Consensus is connecting…

Is a CNN-based model lighter just by picking a smaller version? For example, if ResNet-152 is too heavy, can we simply switch to ResNet-101? Or choose DenseNet-121 instead of DenseNet-169? — Yes, that works, but you’ll likely lose some accuracy. In short, reducing model size usually means accepting lower performance. But what if there were a model that’s lighter than its base version yet still matches it in accuracy? Enter CSPNet (Cross Stage Partial Network). Surprisingly, it cuts down computation without sacrificing accuracy — no compromises needed! In this article, we’ll explore how CSPNet works and how to build it…

The Pentagon announced on Friday that it has finalized agreements with seven technology firms to integrate their artificial intelligence tools into its classified networks, enabling the military to leverage AI-driven capabilities to support combat operations. Google, Microsoft, Amazon Web Services, Nvidia, OpenAI, Reflection, and SpaceX will contribute their resources to “enhance warfighter decision-making in complex operational environments,” according to the Department of Defense. Notably missing from the list is AI firm Anthropic, following its public conflict and legal battle with the Trump administration over ethical and safety concerns regarding AI use in warfare. In recent years, the Defense Department has…