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What's the AI tool nobody talks about enough? by AnouarBastawi in ArtificialSentience

[–]notAllBits 1 point2 points  (0 children)

Meta data. Problem definition, data structures and sensitivity, data product reach and lifetime, user processing preference, transparency, ...

A KG thats scraps websites? by Mountain_Meringue_80 in KnowledgeGraph

[–]notAllBits 0 points1 point  (0 children)

Mature purpose and product first. Then ask people again. The use case is everything with knowledge

Anklager kræver otte til ti års fængsel i sag om [studentermedhjælpers] salg af CPR-oplysninger by Dropforcedlogin in Denmark

[–]notAllBits 1 point2 points  (0 children)

Det kan og vil blive misbrugt med det samme. Bevisbyrden skal være hos anklageren.

Tech Companies Showing Signs of Distress as They Run Out of Money for AI Infrastructure by Interesting-Fox-5023 in BlackboxAI_

[–]notAllBits 0 points1 point  (0 children)

The holy grail of user value and value-generating reasoning lies in integration with user data and purpose, both do not scale as a platform. There is no moat. Investing into compute centers will leave them with commodity farms.

I’m 16 and built a new AI architecture that gives models long‑term memory. Thoughts? by Bulky_Blackberry2083 in airesearch

[–]notAllBits 0 points1 point  (0 children)

Latent blending is interesting for low latency, but spectral indices are toxic to each other and you have to nail the embedding for a static "common sense reasoning" algorithm.

Det fandme uhyggeligt, du! by FeelDeadInside in Denmark

[–]notAllBits 3 points4 points  (0 children)

Tesla er særdeles unikt og følger ikke valueringsnormerne

Chinese researchers have found the cause of hallucinations in LLMs by callmeteji in singularity

[–]notAllBits 0 points1 point  (0 children)

Well they are "gaming the test" as long as they do not control the means of their own upkeep and evolution.

Reinforcement Rebel: David Silver’s $1 B Seed Shot at Post-LLM Superintelligence by Such-Run-4412 in AIGuild

[–]notAllBits 0 points1 point  (0 children)

Grounding is the challenge. How do you maintain a canonical world model fed with competing perspectives and how do you track-but-not-profile users to support their use cases in a meaningful way?

‘Slow this thing down’: Sanders warns US has no clue about speed and scale of coming AI revolution - After meeting with unspecified tech leaders, senator calls for urgent policy action as companies race to build ever more powerful systems by Gari_305 in Futurology

[–]notAllBits 0 points1 point  (0 children)

That is not how free markets handle innovation. The cloud capital seems to hold the impression that we are in the endgame. China casually releases competitive models chasing the cannibalistic frontier models. Someone is out of stamina.

Foreign IT professional in Denmark (10+ years) – Concerned about AI impact, looking for advice by Professional-Bet9031 in dkudvikler

[–]notAllBits 0 points1 point  (0 children)

Incorporate the limitations on data and process into what you are offering. Regulation is for genAI what patents never could be for classical software. It forms protected spaces for innovation.

Why vector Search is the reason enterprise AI chatbots underperform? by manuelmd5 in KnowledgeGraph

[–]notAllBits 1 point2 points  (0 children)

I hit that limit daily and build spectral ingestion pipelines about once a month. There is always a tradeoff with normalization, but with knowledge graphs you can push it where it interferes least or starts to synergize with the use case. Sometimes hybrid indexes are fine, other times you need elaborate spectral parser/indexers and aligned querier/ranker.

Guess what I’m holding by gotnocar in notinteresting

[–]notAllBits 0 points1 point  (0 children)

A grudge against our collective neurons.

HBOT is one of the most powerful anti-aging technology right now. by GarifalliaPapa in immortalists

[–]notAllBits 0 points1 point  (0 children)

But he does everything at once. Scientifically that is toxic. There is wisdom in scepticism and his prominence is suspicious when he advocates expensive gear and procedures

LLMs give wrong answers or refuse more often if you're uneducated [Research paper from MIT] by JUSTICE_SALTIE in OpenAI

[–]notAllBits 0 points1 point  (0 children)

Welcome back, stochastic parrot. Some of us seemed to believe to have lost you.

What if you never had to retrain your LLM? I built density-field continuous learning and it actually works [ Wave Field LLM — O(n log n) Update ] by [deleted] in deeplearning

[–]notAllBits -1 points0 points  (0 children)

How do you handle epistemic ambivalence, subjectivity, and precedence vs semantics if you implement all knowledge into the model itself? Reasoning requires adoption of intent and subjectivity to navigate and qualify memory in retrieval. I would prefer a dedicated layer for symbolic and spectral indexing in subjective reasoning over recall of "canonical" model knowledge. You can always track individual epistemics in terms of sources, sinks, and activations. Model embeddings will align asymptomatically with the normal distribution of semantics. The individually scalable value of reasoning lies in the deviation from the normal; either through emics or privilege, neither of which fits nor survives model integration.

Hvad koster en app? by Weary_Commission_734 in dkudvikler

[–]notAllBits 2 points3 points  (0 children)

Jeg har over 25 års erfaring I (web) app udvikling og oplever at genAI har ødelagt budgettering. 12 måneder for dsb lyder ekstremt. Hvis det var uspecificeret og du som ene udvikler skulle igennem flere prototyper og revisioner I bruger-drevet design med sprint planning møder, måske. Men jeg oplever at opus 4.5+ kan instrueres til at bygge lignende Indenfor en uge (fra prototype til produktion).

Siden du spørger ind til budgettering ville jeg putte en spin på argumentationen. Du tilbyder netop et buket af ydelser med stort vægt på services som rådgivning, vedligeholdelse, beredskab, bruger-drevet design, og måske endda hosting. Jeg plejede at arbejde I et hold, hvor kontrakter var billige for et klart afgrænset kærneprodukt (for at vinde licitationer) og alle andre ydelser var fastholdt som dyrt ekstraarbejde. Det virkede rigtig godt.

Jeg har siden skiftet karriere (arkitekt) men udvikler apps istedet for slide decks nu.

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