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Toss out a brick to lure a jade gem. — The 36 Stratagems, Throw Out a Brick to Get a...

Are we living through a small car renaissance? There's the Slate Truck, Amble's dune buggy, and the Fiat Topolino, as well as a whole galaxy of kei cars and trucks from Japan that have their own built-in fan base. While microcar sales in the US are still as tiny as the vehicles themselves, there are […]

David Risher insists that Lyft has lowered its prices and that customers who only check his competitor’s app are “leaving money on the table.”

The recall comes as the top automotive safety regulator in the U.S. has warned AV companies about their vehicles interfering with first responders.

Modbus RTU over RS-485 is the serial workhorse of industrial field wiring — the variant you'll meet when connecting an ESP32 directly to an energy meter, PLC, VFD, or temperature transmitter over a wired bus. This tutorial walks through wiring the hardware, installing a library, and flashing working RTU master code. What You'll Build A Modbus RTU master on ESP32 that polls holding registers from an RS-485 slave device over a wired bus. An understanding of register types, addressing, and the reliability practices that separate a demo from a production deployment. Prerequisites Arduino IDE (or PlatformIO) with the ESP32 board package installed. An ESP32 dev board, or an industrial ESP32 controller with a built-in RS-485 transceiver such as the NORVI X — this saves you from wiring a separate MAX485 module. A Modbus RTU slave device (energy meter, sensor, or PLC). Basic familiarity with the Arduino C++ syntax and serial monitor debugging. A 60-Second Modbus Primer Modbus is a master–slave protocol dating back to 1979. One master polls up to 247 slave devices, each with a unique address (1–247). Data lives in four register types, and knowing which one you need is half the battle: Register Type Access Width Typical Use Coils (0x) Read/Write 1-bit Relay outputs, digital controls Discrete Inputs (1x) Read only 1-bit Digital sensor inputs, switch states Input Registers (3x) Read only 16-bit Analog sensor values, process data Holding Registers (4x) Read/Write 16-bit Setpoints, configuration parameters Modbus RTU over RS-485 Step 1 — Wire the Hardware The ESP32's UART pins output 3.3V TTL logic, but RS-485 uses a differential voltage signal — so you need a TTL-to-RS-485 transceiver (typically a MAX485 or MAX3485 chip) between the ESP32 and the bus. UART TX → transceiver DI (driver input) UART RX ← transceiver RO (receiver output) A spare GPIO → transceiver DE and RE tied together (direction control) Transceiver A/B terminals → the RS-485 A+/B− pair on your slave device Skip th

Trump Media, the company behind Truth Social, is selling Wall Street faster access to the "most market-moving" posts on the US President's social media platform. On Thursday, Trump Media announced plans to launch "Truth API," a licensed real time data feed for businesses that provides "the fastest access to Truth Social's most influential accounts." It […]

A $400 million chip-backed loan points to the next wave of AI infrastructure deals.

TL;DR Welcome back to Dev Opportunity Radar. This is a weekly series where I share opportunities,...

The CEO of Foundation Future Industries, which counts the president’s son as its chief strategy adviser, tells WIRED it’s exploring some “kinetic things.”

OpenAI's July 14 guidance for managing AI investments recommends five moves: improve visibility into usage and spend, evaluate efficiency by outcome ROI, govern advanced workflows before scaling, fund workflows that compound, and match capacity to proven demand. Primary source: OpenAI, “How to manage AI investments in the agentic era” . The hard part is the denominator. “This agent used $800” says little. “This workflow cost $14 per accepted reconciliation, including review and rework” can support a decision. Here is a one-page ledger I would require for an agent pilot. Define one accepted outcome Do not start with tokens, seats, or tasks launched. Define the business state that counts after review. workflow : vendor-invoice-reconciliation accepted_outcome : " invoice matched, exceptions reviewed, result posted" owner : finance-ops pilot_window_days : 21 minimum_sample : 100 invoices quality_gate : false_postings : 0 exception_recall : " >= 0.98" reviewer_minutes_p50 : " <= 3" A generated draft is not an outcome if a person must rebuild it. An agent run is not successful if its result never enters the system of record. Capture the complete cost AI cost + orchestration and observability + human review + rework + incident handling + allocated implementation cost = total workflow cost Use a table with declared variables: Variable Meaning Example only C_model model and tool-call spend $600 C_platform workflow infrastructure $200 H_review reviewer hours 35 R_hour loaded reviewer rate $45 C_build pilot build cost allocated to window $2,000 N_accept accepted outcomes 850 total = C_model + C_platform + H_review * R_hour + C_build cost_per_accepted_outcome = total / N_accept With the illustrative numbers, total cost is $4,375 , or about $5.15 per accepted outcome. These are not benchmark claims; replace every value with measured data. Compare against the real baseline The baseline must use the same unit and quality gate: Metric Manual baseline Agent pilot attempted invoices

The label that gets the sequence backwards "AI-first" has become a branding exercise....

Most data engines can answer a query. I wanted one that could also explain, offline and byte for byte, why that answer belongs to a specific durable state. That question led me to build Hyphae , an open-source data engine in Rust with a deliberately small operational footprint: one native binary; one data directory; no required database, cache, cloud service, embedding provider, or LLM; deterministic KV and structured queries; portable result proofs that can be verified offline. If you read my earlier post about provenance over prediction , this is the next and deliberately narrower step. That work began as a cognitive substrate and clarified the provenance thesis. I have since rebuilt Hyphae as a standalone data engine. The research lineage remains, but the current product does not need an AI stack to be useful. Hyphae 0.1.0 is now available on GitHub , through crates.io, and as signed multiplatform archives in the first public release . The problem was not another query syntax The usual path for an application data feature grows surprisingly quickly. A local library becomes a database service. Search adds another service. Caching adds another. Semantic retrieval adds a model provider. Soon, a feature that should be optional controls whether the application can start at all. There is a second problem hiding underneath that operational stack: a successful response is usually just an assertion from the system that produced it. If I receive a filtered, sorted, limited result, how do I check that: the underlying durable state was not corrupted; the query was executed with the declared semantics; matching rows were not silently omitted; the returned result is tied to the state I actually intended to trust? Checksums help with corruption. Signatures can identify a producer. Neither one, by itself, proves that an arbitrary query result is complete and was reexecuted correctly. Hyphae is my attempt to make those concerns part of the engine instead of application glue. What

Hey DEV, I'm Tobore. Let's actually connect. I've been on here for a while now, mostly writing and...

On today’s Uncanny Valley, we unpack OpenAI’s ongoing drama, both legal and reputational, and whether these developments could further hurt the company—particularly in its fight against Anthropic.

Foot traffic to leafy green chains is falling, data shows. Still, a few brave souls who spoke to WIRED were determined to get their fix. “I honestly didn’t even think about” the risk of explosive diarrhea, one says.

Netflix says roughly 300 titles on its platform used generative AI, most of which occurred in post-production. The streaming service revealed the news in its second-quarter earnings report released on Thursday, saying it's "increasingly leveraging these tools to deliver higher quality output more quickly and at a lower cost." It also provided some examples of […]

Elon Musk's xAI files first lawsuit against Grok user accused of making child sex images.

Hyundai aims to deploy 25,000 Atlas robots starting with US factories in 2028.

👋👋👋👋 Looking back on your week -- what was something you're proud of? All wins count -- big or small...

CD sales are apparently going up, reportedly thanks to fans realizing they're an affordable way to support their favorite artists. According to a new report from research firm Luminate, 16.3 million CDs were sold in the first half of 2026 in the US, a 16 percent increase year-over-year. The growth in CD sales was driven […]