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  1. "Karen" is such a cheap shot insult -- and misogynist, to boot -- but its precision cannot be dismissed. "Asshole" is too broad and "self-entitled, empathy-less narcissist" doesn't exactly roll off the tongue.

  2. Karen Jex: Fostering Inclusivity with the PostgreSQL Europe Diversity Committee

    postgr.es/p/9A8

  3. Karoline Leavitt slams Karen Bass, Gavin Newsom for not working with Trump

    President Donald Trump’s former White House press secretary has a tip for California’s Democratic leaders: Work with the…
    #NewsBeep #News #Topstories #BillMaher #California #DonaldTrump #GavinNewsom #Headlines #KarenBass #KarolineLeavitt #Politics #TopStories #USNews
    newsbeep.com/783834/

  4. HSBC launches RedCoin stablecoin on PayMe in Hong Kong

    KAREN JOY BACUDO Finance Editor HSBC has launched its first stablecoin, HSBC RedCoin, on PayMe in Hong Kong.…
    #EuropeSays #Britain #Europe #EU #HSBC #Anti-moneylaundering(AML) #banking #crypto #digitalcurrency #financialcrime #fintech #HongKong #Peer-to-peerpayments #Regulation #stablecoin #tokenisation #Tourism #Trade
    europesays.com/britain/151671/

  5. @beandev Nein, Karen Miosga. Rechtsextremen rollt man nie den Roten Teppich aus. Man bereitet ihnen auch keine öffentliche Bühne.

    #Karen Miosga #Rechtsextremismus #Talkshows

  6. … coming onto the field or approaching the benches, but, regardless of that, it's just plain rude and embarrassing. Do not fucking complain to your kid's volunteer coaches in the middle of a game. However nice you think you're being, that is Karen behavior. Be a reasonable grown-up and talk to us afterwards if you must. Just putting that out there as a PSA. #YouthSoccer #Karen #PSA

  7. #DjangoCon US 2026 talks are now on DjangoTV

    46 videos from Chicago, including Karen Tracey's #Django 6 keynote, HTMX without betraying your views, search-as-you-type over 54 million names, and how Django gets released.
    djangotv.com/videos/djangocon-

  8. El País RSS Feed Bot 🤖

    The race for Los Angeles mayor: Two Democrats battle over housing, affordability and the Olympics

    Incumbent Karen Bass and Nithya Raman, a city council member, are competing to lead a city struggling with homelessness and the high cost of living

    english.elpais.com/usa/2026-10

  9. Today is the birthday of F. Murray Abraham (1939), Maggie Blye (1942), Kevin Kline (1947), and Karen Austin (1950) toilet-guru.com/movie-stars.ht

  10. RE: mas.to/@fsinn/1175049475717181

    “Trump’s hostility to the press is also increasing:

    –He is now attacking reporters–shouting at them, getting in their faces, threatening them–at every press briefing and Q&A session.

    –Trump to Kaitlin Collins of CNN: “You don’t know what you’re talking about. ; You’re a dummy. You’re a low IQ person. You’re a dummy and you work for CNN.”

    –Trump to Karen Travers of ABC: “Are you a stupid person? Who do you work for? You’re a stupid person. And by the way, your network is the worst of all.” (Note: In both instances, the reporters had asked about Trump’s removing sanctions on Russia, a question he obviously doesn’t want to discuss.)

    –Trump threw Andrew Feinberg (who asked him a question he didn’t like the other day) out of the White House pool on Thursday… Trump told him: “I don’t know who the hell you are, but you better be careful.”

    –The White House is demanding that Politico retract three stories about Susie Wiles “or face the consequences.””

  11. Halloween Horror Movie Review: The Return of the Living Dead (1985)


    Title: The Return of the Living Dead
    Release Date: August 16, 1985
    Director: Dan O’Bannon
    Production Company: Hemdale Film Corporation | Fox Films, Ltd. | Cinema ’84
    Main Cast:

    • Clu Gulager as Burt Wilson
    • James Karen as Frank Johnson
    • Don Calfa as Ernie Kaltenbrunner
    • Thom Mathews as Freddy Hanscom
    • Beverly Randolph as Tina
    • Miguel A. Núñez Jr. as Spider
    • John Philbin as Chuck
    • Jewel Shepard as Casey
    • Brian Peck as Scuz
    • Linnea Quigley as Trash
    • Mark Venturini as Suicide
    • Jonathan Terry as Colonel Horace Glover
    • Cathleen Cordell as Ethel Glover, Colonel’s Wife
    • Drew Deighan as Jerry, The Paramedic
    • James Dalesandro as Tom, The Paramedic
    • Robert Libman as Tac Squad Captain
    • Derrick Brice as Gunnery Sergeant Jefferson
    • Allan Trautman as Tarman Zombie
    • Terrence Houlihan as Yellow Cadaver Zombie
    • Jerome Coleman as Legless Corpse Zombie
    • Cherry Davis as The Voice of The Female Torso Zombie
    • John Durbin as The Zombie Who Calls for More Paramedics
    • David Bond as The Zombie Who Calls for More Cops

    Synopsis (via Letterboxd):

    When two bumbling employees at a medical supply warehouse accidentally release a deadly gas into the air, the vapors cause the dead to rise again as zombies.

    My Thoughts:

    Night of the Living Dead co-writer John Russo split off from George Romero to create his own zombie franchise beginning with this 1980s time capsule of a movie.  The movie is set around a medical supply warehouse in Louisville where drums of the toxic gas that causes zombieism were accidentally sent by the military. Remember the Reagan Era 80s when nonetheless the cultural zeitgeist was deeply mistrustful of the military rather than “support the troops?” Naturally, the gas is released affecting not just the warehouse but the nearby cemetery where a group of punks have gathered to party.

    The blue collar workers (all of whom seem to be played by familiar character actors that I cannot place where I’ve seen them before) get most of the best lines.  There’s the wiseacre Frank training the new hire Freddy, their hapless boss who makes all the wrong decisions when he takes charge, and the deadpan mortician Eddie.  The punks are funny in that 80s movie punks are always the same over-the-top stereotypes.  The girl who strips naked for the entire film is gratuitous though.

    And then there are the zombies who just want “BRAIIIIIINSSS!!!” because they stave off the pain of decay (possibly a metaphor for substance abuse?).  It’s hard to believe that is the first depiction of zombies craving brains. The idea of zombies who not only talk, but can hold conversations is a bit off-putting, but then again the “Send more cops!” gag is hilarious.

    This isn’t a masterpiece, but it’s corny fun with a lot of great one-liners, and probably would be exponentially more enjoyable at a crowded theater screening.

    Rating: ***

    #Comedy #HalloweenHorror #Horror #MovieReviews #Movies #ScienceFiction #Zombies
  12. Every engineer running autonomous agent loops knows the in-context reflection drill. The agent runs a bash script, fails on an obscure permission flag or an unquoted path, sees the error in stderr, reflects on what went wrong, and fixes it on the second try.

    The task finishes green. You log the run, close the thread, and move on.

    Tomorrow morning, the same agent hits the exact same edge case in a fresh session and makes the exact same mistake all over again.

    In-context reflection is a temporary patch. It burns context tokens, bloats the prompt across long tool sessions, and evaporates the millisecond the execution context clears. The traditional alternative, full-model fine-tuning, is a non-starter for everyday errors. Nobody is spinning up a multi-GPU training run every afternoon to update base weights, and doing so risks catastrophic forgetting across existing tool workflows.

    A research team from Princeton University and Meta FAIR just published a practical middle ground. In their paper, Don't Forget What You Just Learned: Self-Directed Repair Turns Agent Mistakes Into Lasting Lessons (arXiv:2610.31846), Yuval Kansal, Karen Ullrich, Polina Kirichenko, Ilia Kulikov, Niraj K. Jha, Mohammad Pezeshki, and Mark Ibrahim lay out an architecture called Self-Direction.

    Instead of writing a reflection note into a scratchpad file or relying on a fragile system prompt append, the agent distills its execution mistakes directly into tiny low-rank adapter weights.

    The failure of the reflection scratchpad


    Modern agent setups usually address cross-session memory with one of two patterns:

    1. Appending error reflections to an agent scratchpad or MEMORY.md file.
    2. Embedding failure traces into a vector database for retrieval-augmented prompt injection on future turns.

    Both patterns struggle in production. Text notes appended to context eat away at attention budgets. As the reflection scratchpad grows, agents suffer from prompt dilution and instruction drift. More critically, an agent reading a natural-language description of an old error frequently misapplies the lesson to unrelated tool calls.

    The Princeton and Meta team tracked this failure mode across open-ended research workflows (GAIA), multi-step tool execution (Claw-Eval), and command-line environments (Terminal-Bench 2.1). When agents relied on standard in-context retries, their correction reliability plummeted when facing recurring variations of the same underlying task. The agent repeatedly fell into the same traps because the underlying policy distribution never moved.

    Standard Agent Flow:
    Error -> In-context reflection -> One-off fix -> Session ends -> Lesson lost

    Self-Direction Flow:
    Error -> Trajectory reflection -> Low-rank adapter update -> Persistent library -> Routed on demand

    Distilling mistakes into 0.02% parameter budgets


    The core mechanism of Self-Direction sits between ephemeral prompt engineering and heavy offline training.

    When an agent fails an execution trajectory, it runs an internal critique to isolate the decision step that caused the downstream failure. Once the corrective trajectory is verified, the system does not just print the correction. It freezes the base model weights entirely and trains a micro-LoRA adapter on the self-directed repair pair.

    The parameters updated during this step represent roughly 0.02% of the base model's parameter count.

    Because base weights remain frozen:

    1. Existing base model capabilities and general conversational skills stay intact without degradation.
    2. Training completes locally in seconds on consumer hardware without cluster coordination.
    3. The resulting adapter file is lightweight enough to store, version, and swap on the fly.

    The agent saves these targeted adapter checkpoints into a persistent local library. When a new prompt arrives, an automated routing layer inspects the problem context and attaches the relevant adapter before the execution loop begins.

    Benchmark gains across open-ended tasks


    The researchers tested Self-Direction on open-weight models from the Qwen family across three distinct agent benchmarks:

    • GAIA: Multi-modal, complex multi-hop research requiring web navigation and reasoning.
    • Claw-Eval: Structured tool-use workflows testing API interactions and parameter extraction.
    • Terminal-Bench 2.1: Unconstrained Linux command-line tasks, bash scripts, and system administration.

    Across these environments, adding Self-Direction improved overall task completion rates by 8.9 to 17.0 percentage points compared to standard in-context reflection baselines.

    More importantly, the recurrence rate of known errors dropped sharply. The authors found that Self-Direction nearly doubled the reliability of corrective actions on subsequent encounters. Instead of guessing whether the agent would notice a text hint in its system prompt, the updated adapter shifted the token sampling probabilities directly away from the faulty API syntax.

    The team also evaluated out-of-distribution transfer. A small set of adapters trained on specific terminal failures generalized across dozens of unseen tasks involving related file-system permissions and process management. The agent learned the structural pattern of the fix rather than memorizing the exact shell string.

    What this means for local agent runners


    For developers building and hosting agent infrastructure, this work highlights an architectural transition.

    Over the past two years, the industry leaned heavily on prompt stuffing to simulate agent learning. We treated context windows as infinite scratchpads, piling up few-shot examples, dynamic rules, and post-mortem notes until the prompt became brittle.

    Self-Direction shows that treating execution errors as online distillation targets produces cleaner long-term behavior. When an agent trips on an environment quirk, the solution is not to explain the error back to the model in prose every time it wakes up. The solution is to let the agent compile the lesson into weights, index the adapter, and move forward.#ai #agents #python #opensource #software #coding #development #engineering #inclusive #community
    Why In-Context Corrections Do Not Stick in Agent Loops

  13. I just hit a 67-week posting streak with Buffer! 🎉

  14. Northern Ireland Open: Kyren Wilson beats Jak Jones to secure title at Waterfront Hall

    Kyren Wilson won the Northern Ireland Open for the second time in three years with a clinical 9-2…
    #Golf #ThePlayersChampionship
    europesays.com/golf/82971/

  15. Special Teams Coach Danny Crossman says Kaden Wetjen is continuing to improve: “I think Kaden’s starting to see some things a little bit better. We just gotta continue with him and continue improving on the blocking. And I think there’s gonna be plays there to be made.” #Steelers #NFL

  16. "I haven't had a tandem like Kyren Williams and Blake Corum where they both can do everything..

    We can call our entire offense with both of those guys in the game" ~ Matthew Stafford #PMSLive

  17. NASCAR Truck Title Fight Comes Down to Honeycutt and Riggs

    Top-10 finishes by Kaden Honeycutt and Layne Riggs in the Love’s RV Stop 225 at Talladega Superspeedway allowed…
    #NewsBeep #News #NASCAR #CA #Canada #content-type:News #contentId:41aa96f2-0e17-4b73-9177-bca9405b1ec0 #displayType:standardarticle #isSyndicated:false #locale:US #Riggs #shortTitle:NASCARTruckFightComesDowntoHoneycutt #sponsored:false #Sports #subsection:NASCAR
    newsbeep.com/ca/944059/

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