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Silent speech with ultrasound
Who's Keeping Fossil Fuels Alive? Taxpayers
Composing TLA+ Specifications with State Machines
Experiences with Outlier
How is it going for you all working on projects for this platform? I’ve read that sometimes they ban you without even giving you a heads up, is that true? Also, I’d like to ask about the tests they give you for software projects before accepting you; are they actually very difficult? Do I need to have AI level problem solving skills or something similar to get accepted? How is the hourly pay working out? Is it truly hourly, and are deposits made weekly? Thanks for reading, everyone; I’m curious about remote work and want to get started. submitted by /u/ClarkKennedy929 [link] [留言]
Squint Hard Enough: Attacking Perceptual Hashing with Adversarial Machine Learning
submitted by /u/lood9phee2Ri [link] [留言]
Chorus: A fast WAL for object storage
EU AI Act becomes applicable Aug 2: an engineering checklist
Own Your Weights
Final extension: Startup Battlefield Australia applications now close July 20
If you're building something ambitious, this is a fast track to the people who can move your startup forward.
Michigan sees explosive outbreak of diarrheal parasite with over 700 cases
Cases have risen quickly as officials are working to identify a common source.
Redis Patterns for Coding Agents
GAO: DOE Is Prematurely Excluding Less Expensive Options for Nuclear Cleanup
Meta rolls out Muse, a new AI image generator
The new image-generating model has numerous use cases, including advertising, decorating and creator-based opportunities.
On-Device Field Extraction by Verify
Secure on-device extraction even if you're offline Discussion | Link
Microsoft 365 Copilot adoption is under 4.5%, only 1% use it weekly
JPMorgan, BofA and Others Explore Buying Card Network to Raise Debit-Card Fees
Meta Now Lets Anyone Use Your Instagram Photos in AI Images—Unless You Opt Out
As part of Meta’s Muse Image model rollout, Instagram users with public accounts need to opt out to block AI generations of their content.
Of course viewers are giving up on Netflix shows
Even though Netflix is the world's most popular paid streaming service, the company has been struggling to keep viewers watching its series after their first seasons. Beef - the streamer's anthology about people locked in feuds - lost 70 percent of its viewership when it returned earlier this year. There seems to be some confusion […]
Dev Log: 2026-07-07
TL;DR Collapsed a billing model from à-la-carte features to plans-only, in four safe phases. Unified authorization across web, API, and MCP so all three obey one permission layer. Fixed a legacy Oracle password-sync writing to the wrong column. Four repos moved today. Here's the thread that ties most of them together: one source of truth beats two. Billing: plans-only Spent most of the day migrating a SaaS off per-feature à-la-carte subscriptions and onto plans-only entitlements. The interesting part isn't the model — it's doing it without a billing outage: seed plans, switch reads to plans, backfill every org, then delete the old machinery. Expand/contract, four deployable phases. Full write-up in the focused post. One permission layer for three surfaces An ops tool exposed the same actions three ways — web UI, API, and an MCP server for agent access. The bug: each surface checked authorization slightly differently, so an MCP tool could allow something the web UI blocked. The fix was to make the MCP tools gate on the same permission layer as everything else, so: web ─┐ API ─┼─► one permission check ─► allow / deny MCP ─┘ TL;DR: web ≡ API ≡ MCP — three doors, one lock. Also added a dedicated support-engineer role scoped for debugging without handing over the keys to everything, plus identity/diagnostics/SLA read tools so an agent can answer "why didn't this notification send?" without shell access. Before After Each surface authorizes its own way Single permission check, shared MCP tool could out-permission the UI MCP bound to the same guard No debug-scoped role support_engineer role, read-only diagnostics Legacy Oracle password sync Smaller but sharp: a password reset was writing to the wrong Oracle column and also touching a date_modified field it had no business updating. Routed the student reset to the correct password column and dropped the stray write. Lesson with legacy schemas — the column that looks right and the column the app actually reads from are not a