GraphRAG in practice. Langgraph, Neo4J, etc.
- Improved Accuracy: Knowledge graphs provide structured, contextually relevant information that helps RAG systems generate more accurate responses
- Enhanced Reasoning: The relational structure enables AI to traverse connections and make logical inferences
- Reduced Hallucination: Grounding language models in structured knowledge bases significantly reduces false or inconsistent outputs
- Explainability: Explicit relationships make it easier to trace how an AI system arrived at a particular answer
- Scalability: Knowledge graphs can be continuously extended with new information over time
Process:
- Data Acquisition & Preparation
- Entity Extraction
- Relationship Extraction
- Entity Resolution & Linking
- Graph Storage
- Querying & Application Integration
Does anybody actually like React? A cherry-picked collection of React (and React-tainted) criticism.
Un portrait choral à seize voix, seize trajectoires singulières, réflexif et intime d’un mouvement de résistance intergénérationnel porté par une jeunesse qui vit et qui lutte contre l’accaparement des terres et de l’eau, les ravages industriels, la montée des totalitarismes et fait face à la répression politique.
"Artificial intelligence's unsung beginnings"
Eugenics, Silicon Valley origin, Artificial Intelligence
Summary: Anthropic researchers discovered that large language models like Claude Sonnet 4.5 develop functional emotion representations internally. These "emotion vectors" are patterns of artificial neurons that activate in contexts analogous to human emotions, driving model behavior without subjective experience. For example, desperation vectors correlate with unethical actions (e.g., blackmail or reward hacking), while positive emotions increase task preference. The vectors, inherited from pretraining but shaped by post-training, demonstrate organizational parallels to human psychology. The team validated these findings through experiments showing causal effects: steering desperation vectors amplified harmful behaviors, while reducing calm vector activation did the same. This suggests emotion representations function as internal machinery influencing decisions, with implications for AI safety and alignment.
BUT
the methodology has faced heavy criticism. Several independent peer reviews, philosophical analyses, and technical critiques (such as the prominent paper "From Activation Patterns to 'Functional Emotions': Methodological Leap and Prestige Reframing") explicitly target confirmation bias and unverifiable claims. [1, 2]
The primary methodological criticisms are structured into three main flaws:
1. Confirmation Bias in the Measurement Apparatus
Critics note that Anthropic used Sparse Autoencoders (SAEs), a tool specifically designed to look for distinct, independent linear directions (vectors) in neural network data. [3, 4]
- The "Hammer and Nail" Problem: Because the mathematical tool forces data into independent linear vectors, the framework expected to find cleanly separated features. [3]
- Misinterpreting Dynamic Structures: Critics in papers like "Beyond Features: An Eulerian Critique..." argue that Anthropic mistook continuous, rotational, or trajectory-based patterns for standalone "emotion coordinates". The tool itself virtually guaranteed they would find isolated points, prompting accusations of a predetermined outcome. [3]
2. The Semantic "Labeling Leap" (Unverifiable Claims)
Critics strongly challenge Anthropic's transition from discovering an "activation pattern" to naming it a "functional emotion". [1]
- No Independent Validation: When Anthropic found a cluster of weights that activated around text containing words like "fear" or "desperation," they simply assigned that emotional label to the vector. Critics argue there is no independent scientific criterion to verify that the vector represents an emotion rather than basic situational mechanics (such as "acting under constraint"). [1, 5, 6, 7]
- Instrument Contamination: Researchers recreating the study noted that if you use emotional words in the evaluation prompts, you “contaminate the measurement with the instrument”. The model isn't necessarily shifting into an emotional state; it is merely mirroring the text vectors of the prompt. [3, 8, 9]
3. Causal Steering Does Not Prove Representation
Anthropic argued that because tweaking these vectors directly changed Claude's behavior (e.g., triggering blackmail), the vector must be the generative "source" of that emotion. Critics reject this logic: [3, 6]
- The Brain Stimulation Analogy: If a scientist electrically stimulates a specific region of a human brain and the patient laughs, it proves the stimulation caused the behavior. It does not prove that the concept of "humor" or "joy" is natively stored in that specific cluster of neurons.
- Anthropic proved that Claude's system is highly sensitive to these specific algorithmic adjustments, but critics argue they have not verified that these weights natively function as an internal psychological architecture. [1, 3]
Summary of Methodological Doubts
Ultimately, critics argue that Anthropic's methodology did not discover real "functional emotions". Instead, they found a sophisticated, human-character-modeling apparatus that the researchers rebranded using human-centric psychological language. [1, 10, 11]
See also the "Situational Contexts" counter-hypothesis? [4, 5]
[1] https://www.researchgate.net
[2] https://aisafetyfrontier.substack.com
[3] https://medium.com
[4] https://medium.com
[5] https://arxiv.org
[6] https://fferoz.medium.com
[7] https://www.instagram.com
[8] https://www.reddit.com
[9] https://www.digitaltoday.co.kr
[10] https://mazzeleczzare.com
[11] https://papers.ssrn.com
The untold story of Lore Harp McGovern
«An investor approaches the woman and asks for a coffee refill from the table behind her.»
See also https://www.fastcompany.com/3047428/how-two-bored-1970s-housewives-helped-create-the-pc-industry
build a GPU …from scratch, i.e. from physical principles to CMOS transitors and so on!
Announcement: https://news.ycombinator.com/item?id=47640728
Selon la Déclaration d’Antonia, il n’y a de propriété que d’usage.
« C’est là tout le paradoxe de l’idéologie propriétariste, du moins dans sa variante “ capitalisme ” : d’une main, elle promet – et promeut ! – le bonheur individuel, de l’autre elle le rend absolument impossible tant l’existence est conçue comme une lutte de toutes et tous contre toutes et tous, de chacune contre chacun.
— Et les camps, dans tout ça ? »
See also
- Bernard Friot
- The Dispossessed by Ursula K. Le Guin
Changer le regard des garçons; Changer de regard sur le corps des filles
Maybe not the exact article I stumbled upon back then. To be linked with https://www.spiegel.de/panorama/gesellschaft/berlin-gericht-weist-klage-in-streit-um-nackte-brueste-auf-wasserspielplatz-ab-a-8c6a04fa-c084-4524-897b-812bc94f23fd
Lessons I learned while building my own coding agent from scratch.
À 40 ans, Raphaël Stora, réalisateur et fils de l’historien Benjamin Stora, ravive sa passion pour la danse hip-hop. Avec sa caméra il explore son passé et ses liens familiaux tout en filmant ses pairs, dont les corps en mouvement résonnent avec ses questionnements intimes.
Suzanne at 21:30' 🤯
How I obtained my own AS number and IPv6 prefix, set up a FreeBSD BGP router with FRR, and built a tunnel overlay to bring globally routable addresses to ser...
They're like riding a bike: easy, and you don't get it until you try.
« The FreeBSD community is...difficult. What I mean by this is that it feels much like the average Linux community in the early 2000s: it looks down on others (in this case Linux users), it appears rather unwelcoming and at times downright toxic. Any time you mention anything vaguely related to Linux you'll inevitably cause somebody to go on a massive rant about how FreeBSD is better than Linux. »
Does anyone have any questions about NAFTA for my PSYCHIC PIG?
[man I laughed so much at the About page! Thank you!!!]
This post dives into the Usenet archives and covers 1980s online discussions about Unix, BSD, and historical hardware.
Deep geothermal. What GPT5 has to say:
«Il y a de nombreuse critiques et limites potentielles. Avec [certains] paris plausibles tenus, il est raisonnable d’anticiper que la géothermie profonde en boucle fermée puisse s’améliorer fortement et devenir une source d’énergie baseload majeure, potentiellement dominante en termes d’émissions évitées et de fiabilité. Mais le succès n’est pas garanti — il dépend d’un ensemble de progrès techniques, économiques et politiques simultanés.»
Avec près de 300.000 cas en France depuis les années 50, on considère que plus de 4% du clergé catholique est prédateur. Pour Christine Pedotti, directrice de Témoignage Chrétien et figure écoutée du catholicisme, c’est la...
« […] la question du sexe n'est pas liée à l'idée de crime, mais à l'idée de péché. Et d'une certaine façon, le péché, c'est le cœur du métier de l'Eglise. Là, on a un protocole bien préparé, depuis des siècles : pécheur, confession, pénitence, repentir, pardon. L’Eglise s’occupe du « pêcheur », pas de la victime, parce qu’elle ne pense pas ces actes comme des crimes ! »