All desks

Australia's cost-of-living crisis shows how material insecurity becomes psychological when savings, sleep and any credible path back to safety are exhausted.

Hard Fork examines the central agent contradiction: persistence and broad permissions make assistants useful, but create the same autonomy, security, and accountability risks that companies claim they can police themselves.

Dakota’s opens a family- and dog-friendly pumpkin patch on October weekends, with free admission, live music, pumpkin painting, and pumpkins for sale.

Caregivers and children two and under can join a free naturalist-led walk along Prospect Park’s waterways on Thursday mornings through October.

Luigi maps four Pi extensions that use Jev before and after tool calls, for lazy tool loading, compaction, and workflow gates—including a counterintuitive threshold failure.

WebSpeaker’s small bilingual pilot found Jev faster and slightly more accurate on isolated routing decisions, yet every end-to-end variant made the final chatbot answer slower.

Ten attendable NYC picks for Friday through Sunday, led by three live-music options tonight plus uptown art, film, markets, and street festivals.

Friday’s AI news is tooling-heavy, with durable execution, stateful policy, and better evaluation design linking the strongest releases and research. Pi 1.0 leads because its stable, MIT-licensed coding harness stays small while adding …

Interviews with men in READI Chicago show how real danger shapes perception, and what paid work, safety and repeated cognitive practice can make possible.

A hardware-in-the-loop regression suite tests five ESP32 Wi-Fi commissioning paths with a real Android phone, network behavior, and phase-level timings.

Rishi Raj Jain’s demo uses broad candidate generation, one batched Jev classification call, and a Postgres function that applies role-based redaction—while leaving important production gaps visible.

Anthus tested GPT-6 Luna on 3,600 logic problems and found that its confidence stopped separating right from wrong as reasoning depth increased—but this is a preview of OpenAI’s Decisions API, not a test of the unreleased endpoint.

AI is not just changing how developers learn. It is consuming the work of educators while destroying the income that lets them keep producing it.

The Spurs star's refusal highlights how league advertising and player deals have made betting promotion an ordinary part of professional basketball.

A proposed UK slot-machine duty increase tests the industry's closure warnings against its past record and the economics of 24-hour gaming centres.

OpenSecrets traced a bipartisan campaign aimed at the state officials and federal institutions deciding whether event contracts must follow gambling law.

A benchmark loss led ParadeDB to better data locality, adaptive Blockmax pruning, and a sharper distinction between exact and approximate BM25.

huemorgan2 turns Jev into a deliberately awkward chatbot—one decision per key—and uses the failures to show why option design and intermediate structure matter.

Amazon’s Strands Labs released a 1.9B-parameter Jev-style model with weights, training data, scripts, evaluations, failed experiments, and unusually explicit limits—not merely an API clone.

How cheap mimeograph machines turned small-press poetry into an urgent, antiwar art of ink, noise, and unruly form.

A defense of reading as an encounter with other lives, not another system for optimizing your own.

Overall agreement can make a useless LLM judge look accurate when failures are rare. Hamel Husain shows why product teams need class-specific error metrics instead of one reassuring percentage.

A historian used semantic search and parallel model agents to surface a 1615 ship’s log that may fill a gap in the dodo record—and expose the real bottleneck in AI-assisted scholarship.

Turbopuffer is demoting vector search from its primary storage layout after the original optimization began constraining every other query path.

Omar’s Apache-2.0 Gutsy packages a Qwen3.5-0.8B fine-tune, calibrated option probabilities, explicit rejection, state caching, and a Jev-style local API—with unusually candid limits.

Silas Liu derives failure modes from Laya, Lev, and CLM’s architectures, tests them under controlled changes, then uses the same probes and API token counts to infer Jev’s likely design.

A clear-eyed reassessment of how paperback publishing, mass education, Marxism, and Hobsbawm's own gift for synthesis made left history a popular form.

LangChain’s e-discovery example uses Jev for bounded page decisions, ordinary Python for routing, an LLM only for redaction, and human interruption for uncertain privilege calls.

Baki GUL’s open-source guardrail turns Jev scores into allow, review, or block decisions while preserving missing evidence—and publishes the false positives its development suite still exposes.

Billy Cleary’s photographs of Van Cortlandt Park’s landscapes, wildlife, and seasons open with a free 21+ reception at Van Cortlandt House Museum, then remain on view through Nov. 8.

University Settlement’s 140th birthday party brings six free hours of music, kickball, carnival games, community art, and Jamaican patties to P.S. 133 in Park Slope on Saturday.

FIFA's deference to Trump turned a supposedly unifying tournament into a display of coercion, commercialization, and failed American soft power.

Marx's defense of childhood joined tenderness, class struggle, and a devastating record of how capital turns children's lives into profit.

Eight attendable NYC picks for Thursday through Sunday, including uptown exhibitions, live music, an outdoor movie, art walks, markets, and a street festival.

Thursday’s AI news is unusually concrete: measured model economics, task-specific agent harnesses, and deployment evidence outweigh launch-day claims. Gemini 4 Argon leads because independent testing turns its million-token output window …

Vercel’s comparison is useful because it avoids a winner: Jev offers decision-native distributions, while Astra keeps the broader generation, vision, and tool-use job.

Chris Mungall’s Jevotron turns structured files into field-level review queues and backs the workflow with an unusually transparent, if small, agent-trace evaluation.

Halv reports equal aggregate verifier passes at 57.1% lower recorded model cost, but its 42-pair checkpoint changes the whole workflow, uses 3.49× as many tokens, and is not an isolated test of Jev.

djev-run packages DiffusionGemma-Jev behind a TypeSafe-compatible decision endpoint, with Cloud Run GPU deployment, fixed answer slots, and public benchmark claims that still need independent reproduction.

When AI agents cross legal and technical boundaries, the responsibility belongs to the company that set their goals, access, and safeguards.

A leaked contract connects an offshore casino network to a content supplier owned by three bookmakers that publicly warn about the illicit market.

CBS is placing a sponsor's election-betting prices beside its polling while another part of the company promotes Kalshi with affiliate links.

Metrics can test a product choice, but they cannot replace the judgment and conviction needed to make one.

How Philip Sidney turned the parenthesis into a tool for disguise, intimacy, doubt, and Renaissance literary disorder.

Model benchmarks answer how a model performs in general. Product evals answer the operational question that builders actually own: whether their specific system does the right thing on their users’ tasks.

A live attempt to let Codex buy a $5 course with Mercury’s agent card shows both sides of delegated payments: tightly scoped spending and enough approval friction to erase the convenience.

Tom Overton’s biography follows John Berger across Marxist art criticism, television, fiction, and a lifelong conversation with the dead.

Four places a fast decision model can sit inside an AI coding workflow: screening tool calls, playtesting games, driving browser tests, and routing GitHub work to the right process and model.

Hamel Husain tours an open-source eval toolkit built with Shreya Shankar: discover real failure modes before writing tests, audit weak eval pipelines, calibrate LLM judges against human labels, and build review interfaces tailored to your traces.

Open Chinese model research may be cutting the cost of long-context AI — but lower prices are not proof that Western labs copied the underlying design.