Mesh LLM provides a distributed AI computing platform that aggregates GPU and memory resources across multiple devices into a single OpenAI‑compatible API. The system lets teams run larger models without purchasing additional hardware and avoids reliance on centralized providers. It can be deployed privately or publicly.

AI model serving typically requires access to a data center or a metered API, which imposes cost and control constraints. Many organizations hold GPUs in offices or closets but lack a method to coordinate them as a unified compute pool.

Mesh LLM runs an iroh endpoint on each node, which serves as a public key for authenticated QUIC connections. Nodes can execute models locally, forward requests to peers, or split a model across several machines using a pipeline mode that partitions layers. The split mode, internally called "Skippy," divides a model into stage ranges that are processed on different nodes, allowing modest machines to handle models that exceed the capacity of any single device. A manifest describes the capabilities of each plugin, and the runtime starts them, routes calls, and exposes their functions over MCP, HTTP, inference, and mesh events. The catalog includes more than 40 models ranging from half‑a‑billion‑parameter models that fit on a laptop to 235B mixture‑of‑experts giants.

The whole protocol uses three ALPN‑negotiated QUIC connections: the main mesh for gossip, routing, HTTP tunnels, and plugin channels; a control plane for configuration sync and ownership attestation; and a latency‑sensitive stage for split‑model activation transport. Within the main connection, each bidirectional stream is identified by a single leading byte that indicates its type, such as gossip, tunnel, route request, or peer‑down events.

The lightweight client, about 18 MB, presents itself as localhost:9337/v1 to any standard OpenAI client. Users can join a public mesh or configure a private deployment. A mobile app using iroh’s Swift SDK is planned, targeting the emerging ACP agent standard so other clients can join the mesh.

Mesh LLM seeks to replace closed server ecosystems with peer‑to‑peer infrastructure, though broader adoption will determine its impact.

A debate titled "What should we do with all this money?" was held Thursday evening at the American Bookbinders Museum in San Francisco. The event gathered about a hundred guests, including employees from Anthropic and the OpenAI Foundation.

Anthropic and OpenAI are preparing initial public offerings that could create a new class of billionaires and multimillionaires. Anthropic is valued at $965 billion, and OpenAI is seeking a $1 trillion valuation. The potential wealth could make the seven co‑founders of Anthropic billionaires and hundreds of employees deca‑millionaires or multimillionaires, according to an analysis by Hill.com.

Anthropic’s co‑founders have pledged to donate 80 % of their wealth, estimated at $17 billion each, and staff have enrolled in a matching donation program. The OpenAI Foundation holds a 26 % stake in OpenAI, valued at more than $180 billion. The philanthropic approach aligns with the effective altruism movement, which emphasizes maximizing good and includes concerns about AI safety and existential risk.

Alexander Berger, chief executive of Coefficient Giving, said the group’s focus on AI concerns differentiates it from the size of the donations. He noted that AI companies have distinct visions for the future and that donors interested in AI safety and AI for good should expect significant giving.

The effective altruism community is expanding its infrastructure for donors. Job listings on the effective altruism website rose from 200 in January to 1,000, and AI governance nonprofits are advertising salaries up to $260,000 for communications and $205,000 for U.S. policy roles. A for‑profit incubator called Surplus encourages people to start companies to capture funding from Anthropic and OpenAI employees, citing a $100 billion market opportunity.

Rob Reich, a Stanford philosopher, argued that large philanthropy concentrates private power and warrants public scrutiny. He suggested donors support existing institutions rather than create new ones, noting that gratitude should not be expected from large giving.

Apple filed a lawsuit against OpenAI in the U.S. District Court for the Northern District of California on Friday, alleging that the artificial intelligence company misappropriated Apple trade secrets related to hardware development. The complaint stems from an investigation after a former Apple employee left without returning a company laptop, which Apple says was used to access confidential files while the individual was employed at OpenAI. The filing alleges that Chang Liu, a former Apple employee, downloaded dozens of confidential hardware documents, including details on unreleased products, engineering presentations, and proprietary specifications. It also accuses Tang Tan, OpenAI’s head of hardware and former Apple vice president, of directing a scheme to obtain Apple’s trade secrets. OpenAI’s spokesperson Drew Pusateri said the company has no interest in other companies’ trade secrets and remains focused on building innovative technology. OpenAI has denied the allegations. The case mirrors a 2017 dispute in which Google sued Uber over alleged theft of self‑driving technology, a matter that settled and led to criminal charges against a former Google employee. OpenAI recently won a court battle against Elon Musk, and the Apple lawsuit may affect OpenAI’s planned initial public offering and its competition in the AI hardware market. Apple did not indicate whether CEO Sam Altman was involved, but said the alleged misconduct could extend beyond the individuals named. The lawsuit remains pending.

A Jupiter-sized planet named WD 1856 b orbits a white dwarf, the remnant of a Sun-like star, and is the only confirmed planet to survive its host’s red‑giant phase. Astronomers identified the planet in 2020 when the TESS mission surveyed about 2,000 white dwarfs for transiting objects. The planet was detected as a gas giant that produces a half‑size dip in the star’s brightness during a grazing transit, an unusual geometry. The white dwarf is roughly seven times smaller than the planet, which circles at 0.02 astronomical units, contrary to models that predict outer planets should move outward after a star sheds its envelope. The planet’s temperature measured by the James Webb Space Telescope on April 27, 2023, is about 400 kelvin, far higher than the 150–200 kelvin expected for a Jupiter‑like world at that distance. The excess heat suggests an internally generated source, likely from a prior migration event. Modeling indicates the reheating probably occurred 3–5.5 billion years after the star became a white dwarf, a timeline that matches a high‑eccentricity migration scenario involving gravitational interactions with two distant stellar companions. The common‑envelope scenario is less likely because it would have ended before the observed temperature could develop. The planet’s atmosphere contains roughly 7 percent methane, about twenty times the fraction assumed in standard cooling models, which may have affected previous temperature estimates. Updated atmospheric models are needed to refine the evolutionary history. WD 1856 lies about 75 light‑years from Earth, making it a nearby candidate for further study. Additional JWST observations of the system are planned. The discovery highlights the possibility that other planets may have survived stellar death, but confirmation requires more data.

Irish datacenters consumed 23% of the country's metered electricity in 2025, a 10% increase from 2024, according to the Central Statistics Office.

Datacenter electricity use rose to 7,663 gigawatt hours in 2025, up from 6,973 gigawatt hours in 2024.

All other customers increased their consumption by only 2% over the same period.

The share of electricity used by datacenters has grown from 5% in 2015 to 23% in 2025, more than doubling between 2015 and 2019 and tripling again between 2019 and 2025, said Grzegorz Głaczyński, a statistician in the CSO's Climate and Energy Division.

Datacenters used more electricity than urban households, which accounted for 18% of metered use, and more than twice the rural household share of 9%.

The Commission for Regulation of Utilities imposed an effective moratorium on new grid connections for datacenters in the Dublin area in 2024, and the restriction remained in place for most of 2025.

The moratorium was lifted in December 2024, but electricity consumption still rose by 10% while the restriction was in effect.

New regulations require operators seeking connections above 10 megawatts to provide generators or battery storage and to feed power back to the grid when required, a practice already used by Microsoft and Digital Realty.

More than 80 datacenters operate in Ireland, a country of just over 5 million people, and public protests have emerged in response to the growing energy demand.

Similar concerns have been raised in the United States, where the Trump administration has asked technology firms to limit increases in energy bills and water usage associated with datacenter expansion.

The trend underscores the rising energy needs of data infrastructure and may influence future regulatory and grid planning in Ireland.

Researchers at Drexel University observed that a simple hydrocarbon fluid can fracture when stretched between metal plates, a behavior previously thought impossible for nonelastic liquids. Thamires Lima, a research professor in chemical engineering, and her team used extensional rheology to pull the fluid and detected a sharp crack, indicating fracture rather than simple flow. Arnold Mathijssen, a fluid physicist at the University of Pennsylvania, said the result was unexpected because simple fluids normally do not store elastic energy. Nicolas J. Alvarez, a chemical engineering professor whose lab led the work, noted that each test produced a loud pop, confirming repeated fracture. High‑speed imaging revealed that the crack propagated at speeds between 500 and 1,500 meters per second, far faster than cracks in complex fluids, which move at about 0.07 meters per second. The critical stress at which fracture occurred was 2 megapascals, a value that correlated with the product of viscosity and strain rate, according to the researchers. The machine used in the experiments could pull at a maximum speed of 500 millimeters per second, limiting the range of strain rates that could be tested. Brato Chakrabarti, a physicist at the International Center for Theoretical Sciences in Bengaluru, India, questioned whether elasticity is necessary for crack initiation in fluids lacking elastic energy. Earlier work by Daniel D. Joseph of the University of Minnesota suggested that any liquid could fracture under sufficient tearing stress, a hypothesis the team considered when interpreting their results. Alvarez proposed that the fracture may be linked to cohesive energy between molecules rather than elasticity, and that rapid bubble formation could trigger crack nucleation. Future experiments aim to use a transparent fluid to visualize crack formation, freeze the surface immediately after fracture, and examine the fracture surface with nanoscale microscopy. Alvarez also plans to explore how fluid fractures might affect spinning fiber production, inkjet printing, protective gear for brain injury, and soft robotics. The findings expand the understanding of fluid mechanics and may inform applications in engineering and medicine, though practical uses remain to be determined.

According to a review published by TechCrunch, the Ninja Slushi Twist, a dual‑chamber slushie maker, can produce two different frozen beverages at the same time. The device features two 48‑ounce chambers that operate independently, allowing separate preparation of drinks such as a milkshake and a fruit slush or an alcoholic and non‑alcoholic cocktail. Ninja reports that each batch can yield more than 10 servings. The unit includes a “Dual SlushAssist” system that automatically adjusts freezing temperature for each chamber and a twist dispenser for swirling flavors. Priced at $399.99, the machine is larger than its predecessor and requires additional counter or storage space. The review noted that the product is suitable for households that frequently host gatherings, while occasional users may find the size and cost excessive. Cleaning is performed by activating a rinse function and adding warm water until runoff is clear.

Martin Grieco and Rocío Gal, the designers of the Nopia synth, said the instrument is essentially finished and will be released in a few months, with a price around £550. Nopia combines a one‑octave keyboard, a 12‑button tonal selector, and an extensions dial to let users play complex chord voicings with limited hand movement. The device includes a strum plate for plucking individual notes from chords and a pitch‑bend slider, and it integrates virtual analog and sample‑based synthesis engines. Effects such as delay, reverb, tape emulation and beat repeat are built in, and each module can output MIDI independently for use with other instruments. The creators presented the Nopia at the MusicRadar offices in an in‑depth demonstration, and the company indicated that the product will launch within the next few months. The timeline and final pricing have not been officially confirmed.

Even Realities introduced the G2 smart glasses, a premium device with a neon‑style heads‑up display, priced at $599. The glasses lack cameras and speakers and are aimed at professionals who need productivity tools while traveling or attending meetings.

Smart glasses have been promoted as the next consumer interface, but most models depend on a smartphone for core functions. Even Realities’ previous G1 model offered a 1,000‑nit display and limited battery life, while the G2 adds a 1,200‑nit screen, a 75% larger display area, four microphones and a 60 Hz refresh rate.

The G2 weighs 35 grams and uses magnesium‑alloy frames with titanium temples, making it lightweight and comfortable for extended wear. The company claims up to two days of battery life per charge, with a case that can recharge the glasses seven times before needing external power.

The heads‑up display shows schedules, reminders and real‑time phone notifications. Users can tap the stem to wake the device and double‑tap to view a dashboard of meetings, stocks and news. A menu accessed by long‑pressing the temple provides translation, transcription, teleprompting, to‑do lists and navigation. Translation works by setting a target language; during a demonstration at the Global Connect Show in China, the feature rendered Chinese speech accurately for the user. Navigation shows turn‑by‑turn directions generated by the Even Realities app, but accuracy has been inconsistent. The built‑in Even AI assistant accepts voice commands via a wake word, though it often misinterprets requests and struggles with background noise.

Even also released the R1 companion ring, priced at $249, which adds health tracking and a touch surface for controlling the glasses. The ring’s functionality overlaps with the glasses’ stem controls, and reviewers have found limited scenarios where it adds value.

The G2 hardware is solid, but outside of use cases that require translation or teleprompting, its everyday utility remains unclear. Even plans to support third‑party applications and improve software to increase daily adoption. The product represents a step toward a camera‑free, productivity‑focused smart‑glass form factor.

Newegg lists a bundle that pairs an AMD Ryzen 5 9600X processor, 16GB Corsair Vengeance RGB DDR5‑6000 memory, a Gigabyte B650M Gaming Plus Wi‑Fi motherboard, and a Cooler Master 240mm AIO liquid cooler for $519.99. The components are typically sold separately, and the combined price reflects a discount of about $50 compared with individual purchases. The Ryzen 5 9600X is a six‑core, twelve‑thread CPU based on AMD’s Zen 5 architecture, with a boost clock of 5.4 GHz and a 65W TDP. The Gigabyte B650M Gaming Plus Wi‑Fi motherboard supports DDR5 memory up to 8000 MT/s when overclocked, includes two M.2 slots with PCIe Gen 4 speeds, and provides integrated Wi‑Fi 6E and 2.5 GbE networking. The included Cooler Master 240mm AIO cooler features 120mm PWM fans and CryoFuze thermal paste, and is listed by the retailer with a value of $79.99. Newegg states that the total value of the offer is roughly $130, reflecting the inclusion of the cooler. The promotion is subject to stock availability and may be offered for a limited time, and Newegg has not announced any further pricing changes.

AMD unveiled a limited‑edition collection of gaming hardware at the Bilibili World 2026 event in Shanghai. The set, themed around the Valorant Champions Tour China 2026, includes the Ryzen 7 9800X3D processor, the Radeon RX 9070 XT GPU, a Lenovo Legion R9000P gaming laptop, and a Lenovo Blade 7000P desktop PC. All four items display a dark‑red color scheme and VCTCN branding.

AMD announced that the products will not be available through standard retail channels. Distribution will be limited to the VCTCN China Grand Finals in Chengdu later this year, where participants can win the hardware through tournament play, interactive experiences, and drawings.

The collection consists of four products, each featuring the VCTCN design. The Ryzen 7 9800X3D is one of the highest‑performance gaming processors on the market, according to AMD. The Radeon RX 9070 XT GPU is built on the RDNA 4 architecture and incorporates a triple‑fan design with a black shroud, reminiscent of earlier AMD reference models. The Lenovo Legion R9000P laptop and Blade 7000P desktop are both marketed as gaming systems.

The announcement was made during the AMD Carnival Hour presentation, with collaboration from TJ Sports.

Image credit: IT Home.

Bambu Lab and Insta360 announced a design contest on MakerWorld offering more than $11,000 in prizes, including Luna Ultra cameras, 3D printers, and gift cards. The Luna Ultra is an 8K dual‑lens gimbal camera for vlogging, and Insta360 is providing official printable mockups of the camera for participants. The contest runs from July 10 to August 9, with winners announced on August 20, 2026. Participants may enter two tracks: a model design track and a social media idea track. For the model design track, entrants upload an original, human‑created 3D printable model that fits the Luna Ultra and tag it with #PrintForLuna on MakerWorld. Each participant may submit up to five entries, and AI‑generated models are not allowed. Three grand prizes are awarded for model designs: Most Original wins an Insta360 Luna Ultra Creator Bundle and a Bambu Lab X2D Combo; Best Functional and Best Aesthetic each win an Insta360 Luna Ultra Standard Bundle and a Bambu Lab A2L Combo. Two grand prizes are awarded for social media ideas: Most Creative Idea and Most Practical Idea each win an Insta360 Luna Ultra Standard Bundle and a Bambu Lab X2D Combo. Submission requirements state that designs must be printable on an FDM printer and must be new, unique creations; entries are judged on relevance, printability, uniqueness, visual appeal, and functionality. Winners will be announced on August 20, 2026.

NVIDIA RTX 50 GPUs have been reported to exhibit thermal throttling that reduces gaming performance, a condition that modders have traced to the removal of a GPU hotspot temperature sensor from the cards.

When the RTX 50 Blackwell series launched, NVIDIA changed its temperature reporting to emphasize average GPU temperature and omitted the hotspot sensor. Diagnostic tools such as HWMonitor, HWiNFO, MSI Afterburner, and GPU‑Z began displaying only the average temperature.

Brazilian modder Paulo Gomes used a modification to re‑enable the hotspot measurement on RTX 50 cards. The hotspot sensor recorded temperatures around 107 °C while average temperatures remained in the 70‑80 °C range, indicating that the GPU was reaching its thermal limit despite the lower average reading.

After replacing the thermal interface material, hotspot temperatures dropped to approximately 100 °C, and gaming performance returned to expected levels, suggesting that poor cooler contact or insufficient thermal paste was the root cause.

NVIDIA has not announced plans to restore the hotspot sensor in consumer drivers, but its data center GPUs include a comprehensive diagnostic suite that monitors hotspot and airflow conditions.

The findings suggest that users who rely solely on average temperature readings may miss critical thermal information, and that software updates or continued modding could address the issue.

The Bureau of Land Management said on July 15 that it is rewriting its grazing regulations for public lands in the western United States, the first comprehensive update of the rules since 1995.

Public lands grazing covers about 155 million acres, roughly twice the size of New Mexico, and has been governed by a system in place for nearly a century. A 2023 investigation by ProPublica and High Country News found that the current framework subsidizes certain ranchers while contributing to overgrazing and environmental degradation.

Under the proposed changes, the BLM would increase the number of cattle, sheep and other livestock permitted to graze on federal lands and would tighten restrictions on public participation in the decision‑making process, limiting who can object to permit issuance or renewal. The agency said the new rules would require an ecological review of all land uses, including timber harvesting, recreation, mining and oil drilling, a step that current regulations limit to livestock activities. The BLM also plans to handle low‑level grazing violations informally and to revise portions of the code to align with recent court decisions and statutes, giving the agency and ranchers greater flexibility in managing ranges. Tim Canterbury, president of the Public Lands Council, said the update represents a massive step forward and that the previous regulations were created during the "cattle free by ’93" movement and restricted industry flexibility. Conservation groups, however, warned that the rules could increase grazing pressure, damage wildlife habitats, and threaten Native American tribes that use public lands for bison herds. Josh Osher, public policy director of the Western Watersheds Project, said the changes could lead to more livestock on the land and cause significant ecological impacts. The BLM did not respond to requests for comment, and a former BLM employee said the proposal would effectively invite ranchers to appeal any unfavorable ruling, potentially delaying decisions on harmful grazing practices. Legal analyst Mark Squillace noted that an automatic stay of appeal decisions would allow continued harmful practices while appeals are pending. The agency also proposes to treat livestock as a fire‑prevention tool, easing the placement of herds on lands where vegetation could become wildfire fuel, a claim that former BLM deputy director Nada Culver said could hinder staff’s ability to address overgrazing. In addition, the Trump administration has directed staff to compile lists of vacant allotments that could be restocked with livestock, with the goal of filling every vacant plot by the end of next year, according to Karen Budd‑Falen, a senior Interior Department official who received an ethics waiver to work on grazing policy. Native American tribes that manage bison herds expressed concern that the revised regulations could jeopardize their permits and cultural practices.

The proposal will be open for public comment until mid‑July, after which the BLM will review the feedback before a final decision is expected later this year. Stakeholders continue to debate the balance between ranching interests and environmental protection.

Researchers analyzed 2.6 billion sketches of common concepts created in 236 countries and territories to examine how visual representations differ across cultures. Previous assessments of conceptual universality relied on linguistic similarity across languages, which can mask individual and cultural variation in mental representations. The study found that single concepts are expressed through multiple distinct visual exemplars, revealing latent similarities and differences in conceptual structure. Variation was greatest for concepts that involve haptic interaction, indicating that visual imagination reflects embodied experience. When visual embeddings of sketches were compared with word embeddings across languages, the geometries diverged, showing that visual data preserve richer semantic and cultural information. Cross‑cultural similarity derived from sketches aligned 45 percent more closely with established cultural distances than text‑based measures. The results suggest that the modality used to measure concepts critically influences perceptions of universality, and large‑scale sketching provides a high‑resolution probe of conceptual diversity.

Reddit user u/jackinets received a Ryzen 7 9800X3D processor from a retailer instead of the Ryzen 7 7800X3D he ordered. He had damaged the pins on his motherboard while installing a CPU cooler, which required a new motherboard and prompted an upgrade. He placed an order for the Ryzen 7 7800X3D at a local store, and the retailer's invoice listed that model, but the processor shipped was the Ryzen 7 9800X3D. The 9800X3D uses Zen 5 architecture and is positioned as a higher‑performance option for gaming and productivity. The processor is more expensive than the 7800X3D and was not included in his original budget. He has not yet installed the CPU, so it is unclear whether the unit is genuine or a counterfeit. If authentic, the mix‑up provided a faster processor than intended. The incident illustrates a possible inventory error at the retail location, and the user has not announced further actions.

Researchers at the San Francesco Hospital in Telese Terme conducted a case‑control study of 12 patients with Long‑COVID‑19 and eight control subjects who underwent routine gastroscopy. Biopsies from the gastric mucosa were stained for the pan‑neuronal marker PGP 9.5 and the cholinergic marker vasoactive intestinal peptide (VIP) and analyzed with confocal microscopy to quantify nerve fiber density in the fundus and antrum.

Long‑COVID‑19 patients showed a median nerve density of 2.1 nm/µm³ in the fundus and 1.9 nm/µm³ in the antrum, compared with 3.9 nm/µm³ and 3.9 nm/µm³ in controls, respectively (p<0.01 and p=0.01). The reduction in VIP‑positive cholinergic fibers was more pronounced in the fundus (p<0.01) and also present in the antrum (p=0.01).

Heart rate variability analysis revealed a higher LF/HF ratio of 1.7 in patients versus 1.1 in controls (p<0.01) and elevated levels of NT‑proBNP (646 ng/L vs 259 ng/L) and D‑dimer (797 ng/mL vs 349 ng/mL) (both p<0.01). Nerve density correlated with LF/HF ratio (R=0.50, p<0.05) and with NT‑proBNP (R=0.52, p<0.01).

These findings provide the first in vivo evidence of selective cholinergic denervation in the gastric mucosa of Long‑COVID‑19 patients and indicate a structural component to the autonomic dysfunction observed in this population. Further studies are needed to evaluate whether restoration of vagal function can mitigate the associated symptoms.

Ivan Miranda released the design files for the Mirandetta, a 3D-printed electric motorbike that can be folded to fit inside a suitcase. The files are sold for $40 on ivanmiranda.com. Miranda previously built a prototype in about ten days as a travel hack, using aluminum wheel axles and a metal steering column. He redesigned the bike so that all parts can be printed on a single 300 mm × 300 mm build volume. The redesign replaces the original axles and steering column with printed components, standardizes lighting to off‑the‑shelf T10 automotive sockets, reduces the number of distinct screws, and limits each part to the 300 mm × 300 mm build area. Wheels use narrower lawn‑mower tire rims so that the tire bead sits closer together, allowing cornering after inflation. Braking employs floating motorcycle discs that can be derated to accommodate a printed axle. A belt drives the rear wheel, and a 10 K linear potentiometer controls throttle via an Arduino and motor controller. Power is supplied by two 36 V cordless‑tool battery packs, which are hot‑swappable, and a DC‑DC converter steps the voltage down to 12 V for lights and horn. Without batteries the assembled bike weighs just over 14 kg. The fully assembled bike cannot be folded for suitcase packing; the suitcase‑fit capability applies only after assembly. Miranda won a suitcase‑build contest at the Prague Maker Faire and plans to exhibit the bike at Open Sauce. He offers the files without support and describes the project as a complicated hobby build. The design demonstrates the potential for compact, maker‑driven electric vehicles, though its practicality for everyday use remains to be tested.

Biff.graph is a Clojure library that lets developers query both database and derived data through a unified graph interface. The library defines resolvers, which are functions that map input queries to output queries, and allows application code to specify the shape of data needed without detailing how to retrieve it. By splitting the data model into small, independent resolvers, the codebase becomes easier to understand and test as it grows. Biff.graph implements a subset of Pathom's functionality and contains about 600 lines of code, with roughly 200 lines dedicated to query execution. It lacks a query planning step, which may reduce execution efficiency compared to Pathom, but it supports batch resolvers and caching. The library is distributed as com.biffweb.graph with version 2.0.0-rc7 and is intended as a release candidate until other Biff 2 components are released, during which breaking changes may occur. API usage involves defining resolvers with defresolver or com.biffweb.graph/resolver, specifying input and output query shapes, and passing them to com.biffweb.graph/new-ctx to create a query context. Queries are executed via com.biffweb.graph/query, and exceptions include a :biff.graph/trace field to aid debugging. Integration with biff.fx and biff.core is supported, allowing resolvers to be used within effect handlers and to register schema definitions. Guidance recommends one resolver per entity, using the primary key as input and including join keys for foreign references, and enabling batch processing for multiple inputs. The author created the library to provide a simpler entry point for developers unfamiliar with Pathom, aiming to make conceptual learning and debugging more approachable.

The author built a simple AI agent in about 100 lines of Common Lisp, using a recursive message loop and an eval tool. The agent receives a list of messages, sends the latest message to a language model, and either receives a textual response or a request to execute a tool. When a tool is requested, the model generates a Common Lisp form as a string, which the agent evaluates and appends to the message list before recursing. The entire implementation relies on only two libraries for HTTP requests and JSON handling. The only tool available is eval, which allows the model to write and execute arbitrary Common Lisp code on the host machine. Memory is implemented by writing the message list to a file and reading it back, eliminating the need for a separate database schema. A context window limitation can be mitigated by summarizing past messages with another model call. The author added a web search capability by prompting the model to define a brave-search function via eval, which performs HTTP requests to the Brave Search API and parses the JSON response. This demonstrates runtime creation of new functions without a pre‑defined tool catalog. The agent stores its own source code and capabilities as text entries in its memory file, which can be reloaded in new sessions. The approach highlights homoiconicity, where code is treated as data and can be generated and executed on demand. The full source code and Dockerfile are available on GitHub.