🦀 Speaker Spotlight: Alex Zenla, CTO @ Edera On Sept 10 at #rustconf#, Alex digs into TARmageddon: a parsing vulnerability in tokio-tar that rippled across popular forks & the wild scavenger hunt that followed. Find on schedule: Register: #rustconf26# #rustlang#

Did you know that 2026 marks the 10th annual #rustconf#?! Join us for this milestone event where we’ll explore what’s next for #rustlang# and explore how far it has come since 2016.

🚨 Today's the last day for early bird pricing on #RustConf# 2026. If you've been thinking about it, this is the nudge. Register before 11:59pm Eastern to attend the flagship annual #rustlang# conference at the lowest rate:

Speaker Spotlight: Melih Elibol, Research Scientist @NVIDIA On Sept 9, Melih will show how Rust's ownership model eliminates GPU data races in a new open-source DSL for high-performance GPU kernels. No unsafe needed. Find on schedule: Register: #rustconf# #rustlang#

Speaker Spotlight: Devon Tietjen, Co-Founder & CTO @ EdenDB On Sept 10, Devon walks through building a zero-copy streaming database wire protocol parser in Rust: ring buffers, arena-allocated borrow tracking, and no intermediate copies. 🔗 Register: #rustconf# #rustlang#

Mentally, we're already in beautiful Montréal for #rustconf2026# 🇨🇦 When #rustconf# kicks off in September, we like to post some local recommendations on our virtual conference platform. Help us build a list of Montréal must-dos! We'll start... 🥯 Bagels from @StViateurBagel 🏊‍♀️ A refreshing dip at @botabotamtl pre-conf ☕️ Unbeatable coffee at @cafeolimpico 🏞️ Strolling at @lemontRoyal Join us from September 8-11 in Canada's cultural capital, where we'll dive into all things #rustlang#

We're delighted to welcome @LawrenceHarvey_ as our exclusive 2026 Recruiting Sponsor! Lawrence Harvey delivers long-term hiring impact across AI & Data, Robotics, Engineering, Cybersecurity, and more. They currently have the largest #rustlang# specialist recruitment team based in North America and are proud partners of the world’s largest Rust meetup in Rust NYC, as well as Rust LA amongst other groups. Please join us in welcoming them as supporters of #rustconf# 2026! 🦀

seedance prompt: Realistic Video Narration (15-Second Full Version - Pure First-Person POV): Presented in the style of unprocessed, handheld, unstable iPhone video footage. All camera settings are automatic, with no post-processing color grading or special effects. The footage captures the realistic breathing of the operator and slight, irregular hand shake. Autofocus frequently exhibits intense searching, brief out-of-focus periods, and delayed recovery. Auto white balance naturally shifts between warm and cool tones as it blends with the library lights and natural light from distant windows. The overall image is flat and slightly washed out, retaining realistic lens flare, edge purple-green iridescence, and slight overexposure or underexposure. Faint fingerprint artifacts occasionally appear at the bottom of the frame. Only natural ambient sound effects are used (the sound of turning pages, very light footsteps in the distance, the low hum of an air conditioner, suppressed breathing, and the subtle rustling of stockings against a cheongsam). All sounds are extremely suppressed, with slight microphone distortion at louder frequencies. The entire video employs a pure first-person POV perspective (student's subjective viewpoint), with camera movements completely following natural head rotations and gaze movements. The composition is occasionally imperfect, showing realistic breathing tremors and slight shaking during moments of tension. From 0-4 seconds, the camera, in a first-person perspective, rests on a desk in a secluded corner of the library, with noticeable breathing tremors. You can clearly see your legs in black trousers. A female teacher approaches from behind and sits directly opposite you, wearing a white, glossy cheongsam-style dress (high slit design, keyhole cutout at the chest, pink floral lace shoulder embellishments), paired with white suspender stockings and white garter belts. She suddenly leans forward, one hand reaching out to cover your mouth, the other pressing on the inside of your black trousers, whispering, "Don't make a sound... be good, sit still." Her voice is extremely low, yet carries a powerful seduction. The autofocus searches for the high slit of the white cheongsam and the white suspender stockings. Between 4 and 9 seconds, the teacher leans forward more proactively, the high slit of her glossy white cheongsam sliding upwards, revealing a large expanse of her fair thigh and white stockings. She whispers in your ear, "Watch closely... this is what you want to see." The camera instinctively lowers its focus, locking onto a close-up of your black trousers and the teacher's white stockings—the glossy cheongsam fabric taut, the stockings subtly reflective. Your breathing noticeably becomes heavier. Between 9 and 15 seconds, footsteps approach in the distance, and the teacher presses you down more aggressively, whispering a warning, "Someone's coming... but you can't move or make a sound." The high slit of the white cheongsam and the stockings are pressed tightly together, the image shakes violently, the tension reaching its peak. The footsteps grow closer, and the image freezes in an extremely oppressive atmosphere. The footage presents a realistic, unprocessed handheld video quality, a natural, imperfect feel reminiscent of a documentary, without any post-production color grading or special effects. All camera actions are consistent with the physical characteristics of iPhone automatic shooting.