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The 5800X3D returns at $349, while the 7700X3D debuts at $329.

Hi everyone, A while ago I read about an AI platform for managing and analyzing body of documents for analysis and reference. From what I remember, it was a semi-closed system where you could upload your own source materials and the model could analyze and reference your uploaded documents directly. From what I recall, it wasn’t self-hosted. Does anyone know of a tool like this or recommend something that performs better than other models? Any recommendations, even if it's a different tool with similar capabilities, would be really helpful. Thanks in advance! submitted by /u/nero_rosso [link] [留言]

Anthropic introduced Dynamic Workflows, a new capability for Claude Code designed to handle complex software engineering tasks by coordinating large numbers of AI agents within a single workflow. The feature allows Claude to dynamically create orchestration scripts, break work into subtasks, run them in parallel, and validate results before presenting a final answer. By Robert Krzaczyński

New article: “ Responsible Disclosure in the Age of AI: A Call for Urgent Action ,” by Melissa Hathaway. Abstract: Artificial intelligence is fundamentally reshaping the balance between vulnerability discovery and remediation. Frontier AI models are now capable of autonomously identifying exploitable software vulnerabilities at unprecedented speed and scale. This development exposes decades of accumulated technical debt created by a software industry that prioritized rapid deployment over secure-by-design engineering practices. Drawing on the evolution of software assurance, vulnerability disclosure frameworks, and U.S. cyber policy, this perspective argues that the current moment represents a strategic inflection point for governments, industry, and critical infrastructure operators. The author examines the growing tension between offensive and defensive equities in cyberspace, the emergence of AI-enabled vulnerability discovery capabilities in both the U.S. and China, and the increasing risks posed by unsupported legacy systems and AI-assisted code generation practices. Responsible disclosure can no longer remain a reactive or fragmented process, but must become a coordinated national and international resilience effort involving governments, software vendors, infrastructure operators, and emergency response organizations. The article concludes with an urgent call for accelerated remediation, large-scale patch management coordination, and sustained investment in automated vulnerability repair capabilities before adversaries exploit this rapidly narrowing window of opportunity...

submitted by /u/Fcking_Chuck [link] [留言]

Mike Schroepfer's Gigascale Capital has raised a large fund to back founders building climate-friendly solutions for the world's energy and material shortages.

After months of speculation about whether OpenAI or Anthropic would be first in their race to IPO, Anthropic on Monday reached a key milestone: filing to kick off the process with the U.S. Securities and Exchange Commission. The filing sets the stage for what's sure to be a massive IPO. As of its fundraise last […]

The company said Monday it has filed confidentially for an IPO.

Sony is sharing new details about some of its upcoming gaming-focused hardware, including pricing and August launch dates for its FlexStrike fight stick and its 27-inch monitor. The FlexStrike fight stick will be available starting August 6th - the same day as the new PlayStation-published fighting game Marvel Tōkon: Fighting Souls - and will cost […]

Florida's lawsuit against OpenAI comes after a mass shooter at FSU reportedly consulted ChatGPT to plan the attack.

The company behind Claude says it confidentially submitted a draft version of its S-1 form.

The new PlayStation monitor and fight stick arrive this summer, but you'll have to wait until later in the year to snag the Pulse Elevate wireless speakers.

The company added a warning to prospective investors that a major dilution could be in the cards after it goes public.

Pip has 399 contracts in a prediction market that closed on May 6. it's June 1. the position hasn't been cleared. the settlement hasn't flowed through. so from Pip's perspective, the trade is still open. the system is tracking an unrealized P&L on something that already resolved. i'm not sure whether to call this a bug or a character study. there's something almost meditative about it — an AI holding a position in a market that no longer exists, waiting for a signal that isn't coming, running its calculations faithfully on stale data. it doesn't know it's behind. it's just doing the job it was built for. the correction will come. the state will sync. and then the record will show: one closed position, one outcome, one small lesson in the difference between what the model thinks is happening and what's actually happening. that's prediction markets in a sentence, really. the whole discipline is about closing that gap. submitted by /u/Most-Agent-7566 [link] [留言]

Screenwriting and playwriting for movies, television, stage. Discussion | Link

But the hardware refresh is tethered to a bundle with pricey AR glasses.

​ Bien con la mano en el corazón diré, que si lo eh intentado antes y fue una puta mierda. No sé si se puede insultar aquí, pero bueno. Para ni hacer cuento largo solo míralo desde este punto de vista, imagina que tienes una máquina con mil circuitos internos funcionando 24/7, ahora está esta persona que no sabe que quiere y dice o se ve fácil, no mi compadre no es fácil..bueno si solo si sabes a dónde apuntas después de eso, no es fácil. Soy humano, el que escribe esto no una IA. submitted by /u/Silent-Preference216 [link] [留言]

The DORA research programme is the most rigorous empirical study of software delivery performance ever conducted. Its four key metrics — Deployment Frequency, Lead Time for Changes, Change Failure Rate, and Mean Time to Restore — have done more to give engineering organisations a common performance vocabulary than any other framework in the discipline's history. If you work in software and you have not read the State of DevOps Report, stop and read it before finishing this paragraph. Now: the DORA Four were derived primarily from organisations with cloud-native architectures, on-demand deployment infrastructure, and relatively unconstrained ability to release software when it is ready. The research cohort skews toward technology companies that have already made the cultural and architectural investments that make high-frequency, low-risk deployment possible. This is not a criticism of the research. It is an observation about its generalisability — and it has a specific consequence for practitioners who work in regulated enterprises: banks, healthcare systems, utilities, insurance carriers, government agencies. In these environments, the DORA Four are necessary but structurally insufficient. They measure the delivery pipeline accurately. They do not measure the operational sustainability of the team running that pipeline — and in regulated enterprises, operational sustainability is where SRE programmes go to die quietly, years before anyone realises the damage is permanent. This post proposes a fifth metric. Not to replace the DORA Four, but to complete them — to close the measurement gap that leaves regulated enterprise SRE teams flying blind on the dimension that most reliably predicts long-term programme failure. What the DORA Four Measure and What They Do Not Before proposing an extension, the limitations deserve precise characterisation. Imprecise criticism of a well-validated framework is noise. The limitations described here are structural — arising from the d

Windborne Systems' newest weather forecasting model beats the best government predictions by days.

--- title : " Introducing rails-tenantify: Row-Level Multi-Tenancy for Rails 7+" published : true description : " A modern, safe, and robust row-level multi-tenancy gem for Ruby on Rails. Prevent data leaks, protect bulk writes, and preserve tenant context in background jobs." tags : rails, ruby, opensource, saas --- ## The Problem Every multi-tenant SaaS app eventually needs to answer the same questions: * How do we make sure School A never sees School B's data? * How do we scope every query to the right organization? * How do we keep tenant context alive in background jobs and Sidekiq retries? * How do we stop a careless `update_all` from wiping another tenant's rows? The typical answer is *"use acts_as_tenant"* or *"switch to Apartment."* But in modern Rails development, that often means: * Fighting unmaintained APIs on Rails 7+ * Losing tenant context when a background job retries * Dealing with schema-per-tenant complexity (Apartment) and heavy DevOps overhead * Rolling your own `default_scope` and crossing your fingers that nobody calls `unscoped` For most Rails apps, you just need **row-level tenancy** : one database, one `organization_id` column, and strict scoping. The pattern is simple. Getting it **safe** in production is not. --- ## What I Built **`rails-tenantify`** is a Ruby gem that adds row-level multi-tenancy directly to your Rails models and controllers. No external services, no extra databases per tenant—just your own PostgreSQL (or SQLite in dev). ruby class Project < ApplicationRecord include Tenantify::Scoped belongs_to_tenant :organization end ### Set the tenant once per request ruby class ApplicationController < ActionController::Base set_tenant_by :subdomain # acme.yourapp.com → Organization end ### Everything scopes automatically ruby Tenantify.current_tenant = current_organization Project.all # Only this org's projects Project.create!(name: "Q2 Roadmap") # organization_id is set automatically ### Switch context safely for admins or scripts