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Interest: LLM, ChatGPT, etc (details) Awakari _interest_ is an automated account publishing a relevant only content. Create your own interest in […] [bridged from https://awakari.com/sub-details.html?id=LLMs on the fediverse by https://fed.brid.gy/ ]

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LLMs@llms.activitypub.awakari.com.ap.brid.gy · last mo.

How to Build a High-Performance Website That Drives 10x Business Leads Continue reading on Medium » #design #technology #startup #llm #ai Origin | Interest | Match

How to Build a High-Performance Website That Drives 10x Business Leads

Title: Why thousands of businesses trust me to build high-performance websites (And why yours is failing without one) Subtitle: Stop settling for slow templates. In 2026, you need custom Next.js …

ryzeon.medium.com

LLMs@llms.activitypub.awakari.com.ap.brid.gy · last mo.

Agent Memory – O’Reilly I’m fascinated by the concept of agent memory. LLMs are stateless by design, meaning they have no memory or awareness of past interactions. Each prompt you send to an ... #links Origin | Interest | Match

Agent Memory – O’Reilly

I’m fascinated by the concept of agent memory. LLMs are stateless by design, meaning they have no memory or awareness of past interactions. Each prompt you send to an LLM is treated as a completely isolated event. Go to Source

postshift.com

LLMs@llms.activitypub.awakari.com.ap.brid.gy · last mo.

A Novel Enterprise AI Classification Framework for Business Transformation: A Structured Literature Review and Integration of AI Types and Autonomy Levels Enterprise investment in artificial intell... #links Origin | Interest | Match

A Novel Enterprise AI Classification Framework for Business Transformation: A Structured Literature Review and Integration of AI Types and Autonomy Levels

Enterprise investment in artificial intelligence has reached an unprecedented scale across national, regional, and organisational levels of the economy, yet transformation outcomes remain highly variable. Recent global research indicates that the majority of enterprise AI investments produce no measurable profit-and-loss impact, with only a minority of organisations extracting material enterprise-level value. Without an integrated classification framework that allows enterprises to deploy, govern, and create value from the full range of AI technologies and autonomy levels across enterprise functions, the risks of misallocated investment, fragmented deployment, and unrealised return remain difficult to mitigate. A structured literature review on AI classification reveals that existing frameworks do not integrate AI technology types, operational autonomy levels, and concrete enterprise applications in a single classification structure that can support enterprise AI-driven transformation decisions. To address this gap, this paper proposes the Enterprise AI Classification Framework, a novel classification model that integrates six AI technology types with six autonomy levels in a 6 × 6 matrix of 36 combinations, each corresponding to concrete business applications across enterprise functions. A computational pilot study (n = 20 cases for case-based coding validation and 12 LLM-simulated personas × 30 vignettes for role-specific hypothesis pre-specification) provides preliminary evidence of substantially higher classification coverage than four baseline frameworks and pre-specifies role-divergence hypotheses for a planned empirical validation, with all design choices locked in an OSF pre-registration; reliability point estimates exceed the pre-specified 𝛼≥0.70 threshold at the pilot scale, with bootstrapped confidence intervals expected to tighten under the full-corpus run in the follow-up study. An interview-based empirical validation with approximately 250 decision-makers and practitioners across 20 industries is in preparation. Go to Source

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LLMs@llms.activitypub.awakari.com.ap.brid.gy · last mo.

Joey Hess: no LLM code in dependencies I've spent about 100 hours of work over the past month to make sure git-annex can build without dependencies that contain LLM generated code. At least so ... Origin | Interest | Match

Joey Hess: no LLM code in dependencies

I've spent about 100 hours of work over the past month to make sure git-annex can build without dependencies that contain LLM generated code. At least so far. https://git-annex.branchable.com/no_llm_code/ Needing to review a program's whole dependency tree on an ongoing basis is apparently what programming has come to? I've found some real stinkers. Large LLM generated changes being reverted in the next release without any explanation. An incoherent 1489 line commit message with 10,000 lines of changes to a 26,000 LOC code base. A LLM prompt to copy code from another project that seems to have only avoided being copyright infringement due to luck. I now have additional information about the quality of dependencies which will surely influence future decisions. As far as I can see, that's the only positive benefit of this work. I realize that I am probably trying to hold back the tide at this point. That appears to be why Software Freedom Conservancy punted, and I doubt that the FSF will do any better. As these dominos fall, I am reconsidering my participation in these communities. But I continue my work and support my users. It may seem easy to prompt a LLM with > Add fourmolu config and restyled > > neat > > format a module And commit the result and call yourself a 10xer. But please consider the broader impact of your actions. (In the above case, that project lost my further collaboration on it.)

joeyh.name

LLMs@llms.activitypub.awakari.com.ap.brid.gy · last mo.

The 14-inch M5 Chip MacBook Pro 24GB/1TB Is $349 Off The MacBook Pro has been revamped given the M5 Pro Chip, providing you with a faster CPU and a stronger GPU, with Neural Accelerators built into... #Daily #Deals Origin | Interest | Match

The 14-inch M5 Chip MacBook Pro 24GB/1TB Is $349 Off

The MacBook Pro has been revamped given the M5 Pro Chip, providing you with a faster CPU and a stronger GPU, with Neural Accelerators built into each core ...

ilounge.com