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Cake day: August 15th, 2023

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  • May 19, 2026 3:00 PM _Meta Employees Are Scrambling to Use Up Benefits Ahead of Ahead of Meta’s latest round of mass layoffs tomorrow, some employees are deserting offices, abandoning their work, and loading up on perks they might soon lose, several people at the company tell WIRED.

    Two employees describe a widespread rush to use up an annual $2,000 flexible benefit, which can cover a variety of expenses including health and wellness activities. A separate triennial credit of $200 toward the purchase of audio gear has led to a scramble to purchase Apple AirPods and other headphones. Another source says Meta offices have been largely empty this week, as people prioritize polishing their résumés and gather offsite to commiserate with friends for what may be their final time as colleagues. Employees are variously “paralyzed,” “coasting,” and “panicked,” sources say.

    Meta plans to lay off about 10 percent of its nearly 80,000 employees on Wednesday, with notices going out to affected workers’ personal and corporate email addresses at 4 am Singapore, London, or San Francisco time depending on their location, according to a company-wide memo sent on Monday. The cuts are coming at a time when the social media giant behind Instagram, WhatsApp, and Facebook is enjoying record-high profits.

    But CEO Mark Zuckerberg insists that the company must free up cash to invest in AI data centers, and that Meta can perform just as well with fewer employees because of AI technologies that augment human labor.

    Are you a current or former Meta employee who wants to talk about what’s happening? We’d like to hear from you. Using a nonwork phone or computer, contact the reporter securely on Signal at peard33.24 and ChaoticGoode.12. Meta didn’t immediately respond to a request for comment for this story. The company has undergone three previous large rounds of layoffs since 2022, including as part of Meta’s one-time “year of efficiency” drive in 2023. But even though the latest round is smaller than a couple of those, it is drawing widespread scrutiny because it comes at a time of societal anxiety about AI’s impact on jobs.

    Inside Meta, the imminent cuts are among several concerns that have sunk morale to unprecedented depths, according to 16 current and former employees who recently spoke to WIRED. Employees also have been frustrated by being “drafted” onto a new AI team without any choice and the rollout of surveillance software that tracks US workers’ laptop use to train AI models.

    Meta also plans to internally restructure as it conducts sweeping layoffs, transferring 7,000 remaining staff to “AI initiatives” and converting more managers into individual contributors. That would bring the total number of those affected—either laid off or placed in a new role—to 20 percent of the current workforce, Reuters reported on Monday. WIRED independently confirmed this reporting. Some parts of the company have been told they won’t be affected at all.

    But in recent days, employees who are bracing for changes have shared checklists internally about benefits to take advantage of, and are saving documents such as performance reviews and pay stubs, according to one worker. Some teams are meeting up at bars and restaurants near Meta offices in New York and Menlo Park on Tuesday and Wednesday to eat and drink away their sorrows, several employees said. Management has encouraged employees not to come into offices on Wednesday.

    Update, May 19, 11:40 PM EDT: WIRED corrected the time zones when layoff notices will be emailed. _



  • Most of this is just marketing crap from Anthropic.

    Finding vulnerabilities in code and generating complex, multistep exploits with publicly available models is possible now. This biggest hurdles now is setting correct context and actually knowing what to look for. Any “guardrails” for this behavior are easily bypassed by framing the detection and exploit generation as a valid dev style question in the most difficult of situations.

    They likely just trained a model without guardrails in this case.

    What they are doing here is over-hyping a problem and framing it like they are the only ones with a solution. LLM security issues are more in-focus now that companies have dumped a ton of resources into building AI systems they don’t really understand.




  • I am making a slightly different point and have a bias to this perspective: https://www.legis.iowa.gov/docs/publications/SD/19230.pdf

    I am saying that an SSN can be part of a larger validation scheme, not the only key to the castle. Specifically for government sites, SSNs can be linked to IRS data to verify places of last residence. A person generally needs to verify multiple items that are referenced by the SSN before basic authentication can be established and set by the user. (This is part of the full Authentication, Authorization and Access Control triad.)

    An SSN is just a broad level identifier. If you look at many laws around the release of SSNs, the redaction is usually in place to prevent the linking of different documents and other data points.

    If I released my SSN in this chat, I could be fully doxxed in a matter of seconds. It’s mainly because there are many legal systems in place that use an SSN as a primary key, of sorts. (It’s a bit more than that, as SSNs can be duplicated in some circumstances.)

    So to say, at a high level, an SSN is considered private is absolutely correct. However, it’s so easily referenced and obtainable it really isn’t fully private either.

    If I was to generate a full list of every possible SSN in the US (which I have done, multiple times), that list is effectively useless to anyone who obtains a copy of it. So, by itself, an SSN is effectively public.




  • We expect to see Wi-Fi devices able to detect the distance to other devices that are nearby, not only the distance, but what is the direction to those devices, with the ability to become a sensor to detect distance, to detect the presence of people, to detect gestures," Cordeiro claimed.

    “Essentially what we are doing is that we’re going to be able to make devices be context aware, aware of their surroundings, and that’s going to enable and open up the ability for new applications to be developed,” he added.

    Yay. Granular tracking. Exactly what we were asking for with a WIFI protocol.






  • When I use it, I use it to create single functions that have known inputs and outputs.

    If absolutely needed, I use it to refactor old shitty scripts that need to look better and be used by someone else.

    I always do a line-by-line analysis of what the AI is suggesting.

    Any time I have leveraged AI to build out a full script with all desired functions all at once, I end up deleting most of the generated code. Context and “reasoning” can actually ruin the result I am trying to achieve. (Some models just love to add command line switch handling for no reason. That can fundamental change how an app is structured and not always desired.)


  • Apps are somewhat buggy right now. My shokz will partially disconnect after the first song and exercise audibles are non-existent. (The audio mutes, but the watch still responds to play/pause button presses. This could be just an issue with the shokz app being confused for the time being.)

    No difference in GPS connect time from the pixel watch 3, which has been historically buggy at times.

    But yeah, random glitches all over the place. It’s tolerable enough and would expect app updates to fix most of them.