I don't see anything wrong with addressing him with prefix or title, being sexually involved with someone shouldn't be an avenue for disrespect especially when they're advanced than you in age, profession or qualifications. We should learn to respect boundaries. Like me, I don't like when people call me 'Sir' , no matter the age. I prefer being addressed with 'Mr.' (If you MUST add a prefix) Let's tell ourselves that truth, if not for sex and sexuality, we might never come in contact with some caliber of men in our DMs. ❣️&💡

Aprèn, primer, el que significa el prefix "co-".

بنش مارك على السريع لـ GLM 5.2 الوحش 😎 أداء ممتاز حطيته باختبار coding محرك ACL كامل بـ TypeScript — longest-prefix match validation صارم IPv6. راح أدور على ريبو عليها PR صعب و أحجبه عنه و أطبق عليه إختبارات أصعب.

Theres no spelling bee, youre just repeatedly making the prefix trans as if it were for woman/women rather than gender. The only reason people do this after being told is bigot virtue signalling.

The prefix "ma-" is usually used in a way where it represents something filled with. mausok -> ma usok = filled with smoke / smokey maamoy -> = filled with smell / smelly malibog -> filled with lust / lustful (when passive) , perverted (acts that are related to morality)

Masters plus smal academic prefix or suffix titles attached to my name.

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anti is a prefix, it doesn't change the whole meaning of the word

Jerome certainly translated the same word with two different words. Inexplicably. But the Greek word is the key. The "ousion" particle is simple. It's the verb, "to be." But the prefix is hard to understand. An intensifier, as with "epicenter?" I don't know.

If that were true, then why have a prefix at all, Daniel? Women don't need one.

I asked that same question to my Hermes agent. Best answer and makes sense. The limit can be changed manually but not worth it. It has a good logic behind. See below: --- Yes, it’s by design — and yes, it’s intentionally small. I checked the source. The defaults are hard-coded/configured here: - memory.memory_char_limit: default 2200 - memory.user_char_limit: default 1375 In tools/memory_tool.py, the flat memory is described as: “Bounded curated memory with file persistence”And the key design point is this: MEMORY.md and USER.md are injected into the system prompt at session start. They are not a database. They are not an archive. They are a tiny “always-on briefing card.” The reason for the small limit is mostly threefold: 1. Prompt footprint - MEMORY.md at 2200 chars is roughly ~550 tokens. - USER.md at 1375 chars is roughly ~344 tokens. - Together that’s about ~900 tokens before headers. - If those were 10,000 chars each, every session would start with several thousand extra tokens of permanent ballast. 2. Signal discipline - The flat files are supposed to contain only facts so important they should be in my head every single time. - If a fact is situational, project-specific, searchable, or only occasionally relevant, it belongs in: - session_search - holographic memory - fact_store - skills - project docs 3. Prompt-cache stability - Hermes freezes a memory snapshot at load time to preserve prefix caching. - The more always-injected material you add, the more expensive and brittle that cached prefix becomes. - The code explicitly says the system-prompt snapshot is frozen for the whole session. So the choice is not “2200 chars is enough memory.” It’s more like: “2200 chars is enough for the captain’s standing orders, not the ship’s log.”That distinction matters. The flat memory is the standing orders sheet: identity, host distinctions, critical preferences, gotchas that prevent dumb mistakes. The richer stores are the logbooks and chart room. Can the limit be changed? Yes. Your config already exposes it: memory: memory_char_limit: 2200 user_char_limit: 1375 We could raise it. I wouldn’t casually. Maybe 3000–4000 for MEMORY.md if we keep running into compression pain, but going much larger turns it into a junk drawer stapled to every prompt. That’s how agents get “continuity” by dragging an anchor.

Something I’m exploring for reducing LLM API costs: prompt caching on repeated extraction passes. I had Opus run 3 independent passes over the same thing in chunks and burned $40-50 in about an hour. The obvious inefficiency was that each pass resends the same large chunk of source text. Per GPT5.5 summarizing this "With Anthropic prompt caching, the stable chunk/context can be marked cacheable. The first pass writes the cache; follow-up passes over the exact same chunk can read that cached prefix at a much lower input-token rate, as long as they run within the cache TTL and the prefix is byte-identical. each chunk is ~7.5k tokens, above the cacheable minimum for the model, so reordering the scheduler from pass-wave order to chunk-local order could help current: chunk 1 pass 1 ... many chunks ... chunk 1 pass 2 ... chunk 1 pass 3 better: chunk 1 pass 1 -> chunk 1 pass 2 -> chunk 1 pass 3 The ceiling is not “90% off the whole job,” because outputs, claim checks, synthesis, and uncached suffixes still bill normally. But for repeated large input chunks, it could cuta meaningful slice of input cost. In one run I estimate maybe ~$10 saved on a ~$36 extraction job." Will see if I can get this working correctly and not get waxed the same. I believe you cannot do this with the claude sub but there may be some automatic caching. Things to explore.

Recent sales of AGI as a prefix domains. I have the following: AGISoar.com AGIClue.com

y’know, there’s a prefix fer this. been around fer a good few thousand years, really comes in ‘andy at a time like this, might be jus’ wot yer lookin’ fer. ‘s ‘bi-’, means two, twice, double. like ‘ow a bicycle ‘as two wheels, or bipeds walk on two legs.

Three players with the Van prefix in the lineup. Football heritage is alive

position is the real catch, append after the stable prefix or the on-demand block just becomes the new volatile thing and re-bills everything under it. the loop is nastier, tool results re-fire every turn and only surface when you diff logs

Literally. Ba in Batswana is a prefix for Batho ( people / humans ) so taking that Ba out Batswana is the same as dehumanizing us

Me: Illnesses terminology and their links to computers/electronics terminology Ai: Many terms in computing and electronics borrow directly from medical and biological concepts related to illness, infection, and the body. This reflects how engineers and programmers use familiar human experiences (like disease and malfunction) as metaphors for abstract technical problems. The reverse also happens occasionally, with tech analogies explaining medical ideas. en.wikipedia. org Here are the main connections: Core Malware and Infection Terms • Virus: A self-replicating program that attaches to files or programs and spreads, often causing damage. Directly analogous to a biological virus, which hijacks cells to replicate. The term was popularized in the 1980s (e.g., Fred Cohen’s work), building on earlier concepts like John von Neumann’s self-reproducing automata. en.wikipedia. org • Worm: A self-replicating malware that spreads across networks independently (without attaching to files). Like parasitic worms or intestinal parasites that propagate autonomously. digicert. com • Trojan (or Trojan Horse): Malware disguised as legitimate software that tricks users into installing it, then performs harmful actions (e.g., backdoors). Named after the Greek myth, but fits the “illness” theme of deceptive invasion. en.wikipedia. org • Infection: A system or file “infected” by malware. Antivirus software “scans” for and “treats” infections. proofpoint. com • Quarantine: Isolating suspected infected files to prevent spread, mirroring medical quarantine for contagious diseases. facebook. com Bugs and System Failures • Bug: A flaw or error in code causing unexpected behavior. Origin traces back to a literal moth (a “bug”) found in the Harvard Mark II computer in 1947, but the term for mechanical faults predates computers (e.g., Thomas Edison). It evokes disease symptoms or pests infesting a system. bgr. com • Crash: A sudden system failure or shutdown. Parallels a medical “crash” (e.g., cardiac arrest or sudden collapse). reddit. com • Deadlock: In multitasking systems, processes waiting indefinitely for each other. Like a medical impasse or circulatory blockage. Protective and Diagnostic Terms • Firewall: Hardware/software that blocks unauthorized network access. Analogous to the body’s immune barriers or firewalls in buildings preventing fire (disease) spread. fortinet. com • Antivirus / Vaccine (in software): Tools that detect/prevent malware. Some early concepts drew from vaccination ideas (immunization against threats). • Diagnosis / Debugging: Identifying and fixing issues, like a doctor diagnosing illness. “Debugging” removes bugs. reallifemag. com Other Analogies • Spyware / Malware: “Mal-” prefix from “malignant” (as in malignant tumors/diseases). • Kernel / Core: Sometimes discussed in terms of system “health.” • Bootstrap: Loading the OS, loosely like bootstrapping recovery in medicine. Bidirectional use: Medicine borrows tech metaphors too. Seizures described as “short circuits” or brain “crashes/reboots.” Brains compared to computers (neural networks, processing). Dementia sometimes explained as a slow computer virus corrupting files/memory. reddit. com facebook. com These metaphors make complex tech accessible but can oversimplify (e.g., not all “viruses” behave exactly like biological ones—computer ones often need user action, unlike many pathogens). The crossover highlights how both fields deal with “invaders,” replication, defense, and system integrity. reallifemag. com This linguistic overlap dates back decades and continues in cybersecurity and health informatics.

Irish people all say "like" too much ut they use it as a fullstop instead of a prefix

Max effort’ mode chain-of-thought prefix like ‘Think step-by-step for 5 minutes before coding.’ GLM-5.2 shines on long-horizon tasks, it iterates fixes across 20 tool calls without losing the plot. Saved me 4 hours debugging a multi-service auth flow last night.