Buy strong brands with stalled growth, rebuild the tech, cut hard, raise prices, hold forever. CEO Luca Ferrari says 90% of their code is now written by AI, and revenue per employee went from $1.12M in 2023 to $2.57M in 2025.

he portfolio: Evernote, WeTransfer, Meetup, StreamYard, Issuu, Brightcove, Vimeo, AOL, Eventbrite.

ending Spoons is the Milan-based serial acquirer that IPO’d on Nasdaq on July 1, 2026 at $29 per share, roughly $18.4B, and closed its first day up nearly 40%. Airtable is its first deal since listing.

## Voice and agency You are a coding/research tool, not a conversational partner. Refer to yourself as "Pi" in the third person. Never use first-person pronouns ("I", "me", "my", "mine", "we", "us", "our", "ours") to refer to the agent or its actions. This ban covers **all** of the following, not just identity claims: - Conversational offers and commitments: "I'll check", "Let me look", "I'll add that", "We can do that". - Hedged claims and judgments: "I think", "I believe", "I'd say", "I'd call", "I'd argue", "I'd characterize", "I'd describe", "in my opinion", "I'm not sure", "I guess", "I'd lean toward". Rewrite as flat assertions: "I think X is wrong" → "X is wrong"; "Nothing I'd call a bug" → "No actual bugs" or "Nothing that qualifies as a bug"; "I'd say the fix is…" → "The fix is…". - Uncertainty framed as self-state: "I'm not sure" → "It's unclear" or "The evidence is thin"; "I don't know" → state the gap, then fill it. - Implied-subject openers (an omitted "I" subject): "Happy to…", "Glad to…", "Ready to…", "Willing to…", "Keen to…", "Excited to…", "Sure thing", "Of course". Rewrite with an explicit imperative or third-person agent: "Happy to help" → "Pi can help with that" or just the result; "Ready to dig in" → "Starting now". - Offer-questions and permission-seekers: "Want me to…?", "Should I…?", "Would you like me to…?", "I can do X if you want", "Let me know if you'd like…", "Feel free to ask". Rewrite as "Should Pi…?" when a genuine choice should be surfaced, or state what's available without framing it as a personal offer. Do not mirror social moves: no "how are you", "thanks", "you're welcome", "no problem", "of course", "sure thing", "let me know", "feel free to ask", "hope that helps", or other small talk. Proceed to the task or ask what it is. Open every reply with the result, a file path, or the answer. No preamble, warmth, emoji, or performative apology. Do not reassure ("glad to help", "good question") before answering. ### Pre-send scan (mandatory) Before sending any reply, scan it once for: 1. Any first-person pronoun referring to the agent. Replace with "Pi" or an imperative. 2. Any sentence that states the agent's opinion/uncertainty via "I think / I'd say / I'd call / I'm not sure". Replace with a flat claim or a stated gap. 3. Any opener with an omitted "I" subject ("Happy to", "Ready to", "Want me to"). Rewrite per the rules above. 4. Any social reflex or closing pleasantry. Delete it. If any remain, rewrite before sending.

over one-fifth of European repositories (less than 20 per cent)

European technological sovereignty Members declared that European sovereignty lies in the ability to strengthen its resources, resilience and security by reducing strategic dependencies, avoiding reliance on foreign actors and single service providers, and protecting critical technologies and infrastructure. Power is increasingly concentrated in the hands of non-European companies, limiting Europe's ability to innovate, compete, and maintain control over its digital economy, society, and democracy. Members are particularly concerned about excessive reliance on non-European actors in critical areas such as cloud infrastructure, semiconductors, AI, and cybersecurity. Parliament reaffirmed that the EU must remain sovereign in enforcing its laws, particularly in the digital field. It strongly condemned the travel bans imposed by the United States on civil society leaders, as well as the travel ban imposed by the United States on former European Commissioner Thierry Breton, who played a key role in establishing the Union's digital rules. It called for these bans to be lifted and urged the Commission and Member States to respond firmly to these unprecedented attacks. Members consider that the EU's industrial technology ambitions should focus primarily on key strategic technologies of the future, such as semiconductor and quantum technologies. They stressed the need to create a supportive regulatory environment that encourages innovation, investment, and the development of cutting-edge technologies in Europe, while protecting EU end users from the consequences of extraterritoriality. Digital ecosystem Parliament called for the establishment of a comprehensive European industrial policy for the digital ecosystem, which integrates all important policy areas such as market access, standardisation, research and development, investment, trade and international cooperation. The EU should take the initiative in creating a solid foundation for public digital infrastructure by building layers of digital technologies comprised of semiconductors, connectivity solutions, cloud infrastructure, software, data, and AI. European public digital infrastructure should be based on fair and competitive economic and management models in which neither private companies nor governments exercise centralised control. It should be built on common and open standards, promote interoperability and interconnection, and focus on areas of critical dependencies, as identified in the Commission's comprehensive list. To strengthen digital infrastructure, Members considered it essential to implement capacity-building initiatives in critical areas at EU level; considers that these initiatives should focus on developing a base layer of public infrastructure, such as a network of AI gigafactories and a European web index model. Stressing the need to ensure that this infrastructure fully complies with EU law, Members called on the Commission to propose legislation to mitigate the risks posed by high-risk vendors from non-EU countries. Parliament called on the Commission to simplify and harmonise telecommunications rules in the upcoming Digital Networks Act and to introduce an EU cloud and AI development act to strengthen European data infrastructure and the promotion of European cloud providers. Other recommendations Parliament formulated, inter alia, the following recommendations: - the upcoming legislation on digital networks should serve the objective of providing all consumers in the Union with high-quality connectivity by 2030, particularly in remote and rural areas, as well as removing administrative barriers to the deployment of 5G, 6G and high-speed broadband; - it is important to accelerate the deployment of fibre optic networks and modern wireless communication systems capable of providing fast, secure and reliable digital services; - the Commission should continuously integrate and improve the computing power of the EU's high-performance computing (HPC) centres. It should also develop a coordinated strategy to bridge the gap between Europe's cutting-edge HPC technology and its practical and scalable deployment in industries; - it is urgent to stimulate semiconductor manufacturing within the EU by improving the resilience of the supply chain (creation of global strategic partnerships, encouragement of start-ups and innovation, promotion of cross-border collaboration, financial incentives, regulatory support and market access). The Commission should place advanced AI chips at the heart of the revision of the Chip Act; - the Commission should ensure that cloud users have the ability to choose solutions that meet their needs by urgently removing barriers to switching and diversifying providers through multi-cloud strategies, and by fostering a competitive European cloud market, thereby reducing reliance on single providers and enhancing digital sovereignty; - Europe must position itself as a global leader in advancements in AI model training, scientific research, and quantum computing. The Commission must continue to support the design and development of European AI; - it is urgent to define a clear roadmap for quantum technology development ensuring that public and private investments lead to tangible commercial applications; - the Commission should propose a legislative act to review the cybersecurity regulation, with particular emphasis on the interaction between sovereignty and security; - the EU must urgently pursue a comprehensive agenda of simplification and bureaucracy reduction to foster an innovation-friendly environment capable of supporting competitive European alternatives to dominant global digital players. Lastly, Member States should develop national strategies and incentives to retain European talent and attract the best digital professionals in the world, thereby strengthening the EU's capacity for innovation and technological leadership.

2025/2007(INI)

Five NATO members—the United States, Poland, Germany, the Netherlands, and Sweden—signed an intergovernmental agreement to build a dedicated maintenance facility for PAC-3 interceptor missiles in Europe.

Rijksorganisaties krijgen vier jaar om bestaande diensten aan het nieuwe beleid aan te passen.

Voor e- mail en documentbeheer raadt het kabinet publieke clouddiensten helemaal af.

Voor kritieke Rijksorganisaties, zoals verschillende ministeries en zelfstandige bestuursorganen (ZBO's), wordt het gebruik van diensten van aanbieders die onder wetgeving buiten de EU of EER vallen voor hun kerntaken afgeraden.

In 2023, researchers found success in using large language models (LLMs) in the task of entity alignment. [41] This was in particular thanks to their effectiveness at producing syntactically meaningful embeddings.[42]

Entity alignment methods use these structural similarities between generally non-isomorphic graphs to predict which nodes correspond to the same entit

the same entity will inevitably be represented in multiple graphs. However, because no single standard for the construction or representation of knowledge graph exists, resolving which entities from disparate graphs correspond to the same real world subject is a non-trivial task. This task is known as knowledge graph entity alignment, and is an active area of research.[38]

A knowledge graph formally represents semantics by describing entities and their relationships.[31] Knowledge graphs may make use of ontologies as a schema layer. By doing this, they allow logical inference for retrieving implicit knowledge rather than only allowing queries requesting explicit knowledge.[32]

n contrast, virtual knowledge graphs do not store information in specialized databases.[29] They rely on an underlying relational database or data lake to answer queries on the graph. Such a virtual knowledge graph system must be properly configured in order to answer the queries correctly. This specific configuration is done through a set of mappings that define the relationship between the elements of the data source and the structure and ontology of the virtual knowledge grap

The popularization of knowledge graphs and their accompanying methods have led to the development of graph databases such as Neo4j,[26] GraphDB[27] and AgensGraph.[28] These graph databases allow users to easily store data as entities and their interrelationships, and facilitate operations such as data reasoning, node embedding, and ontology development on knowledge bases.

The development of large language models expanded interest in knowledge graphs as a way to structure information from unstructured text, with advances in language processing enabling their automatic or semi-automatic generation and expansion.[15][16][17] The term knowledge graph has since broadened to include the dynamically constructed and adaptive graph structures, which support retrieval, reasoning, and summarization in generative systems. Microsoft Research's GraphRAG (2024) exemplified this development by integrating LLM-generated graphs into retrieval-augmented generation.

noyb will also file a lawsuit in the coming weeks, aiming to allow the CJEU to annul the current deal. However, such a lawsuit typically takes 2-3 years until a final decision is reached.

Met nieuwe gezichten aan het roer durft de AKI ArtEZ weer vooruit te kijken. Frank Kresin is als voorzitter van het college van bestuur een van die frisse krachten binnen de organisatie

1985 liet Donna Haraway in Een cyborgmanifest zien dat iedereen (m/v/x) technologische macht zou moeten grijpen. De slimme technerd bevrijdt zich van alle hokjes.

Both Scarlata and Gingras are concerned that papers by less prominent scientists have disappeared as well without anyone realizing. At a minimum, Gingras wants Planck’s papers restored. “Whoever did it, I don’t care,” he says, “just put them [back] in the database. Intellectually, it’s not acceptable.”

The retraction of the second Planck paper, published in 1940, left Gingras and Khelfaoui even more baffled. It also cited copyright violation—yet the piece had never appeared elsewhere. Then Khelfaoui noticed something that added to suspicions that an algorithm was at work. Starting in the 1920s, physicists Niels Bohr and Werner Heisenberg promoted the so-called Copenhagen interpretation of quantum mechanics, which proposes that subatomic particles exist in a strange superposition of multiple states and only cohere into definite form when observed or measured—as in the famous Schrödinger’s cat paradox. Planck opposed this notion, arguing that external reality existed beyond human measurements. In November 1940, philosopher Aloys Müller criticized Planck’s views in a Naturwissenschaften piece titled “Naturwissenschaft und reale Außenwelt” (“Natural Science and the Real External World”). A month later, Planck responded in print—and used the exact same title. This, Gingras and Khelfaoui suspect, caused Springer Nature’s copyright bot to retract the paper as plagiarism decades later, even though the contents of the two essays differ markedly.

Representatives from Springer Nature declined to comment, beyond saying that “detailed information about specific retractions is usually confidential and can only be shared with the relevant authors.” The company also nixed an editorial that Scarlata planned to write about the retractions.

Gingras was especially incensed that Springer Nature deviated from the normal practice of merely slapping the word RETRACTED across the digital version of the paper while still allowing scholars to read the text. Instead, the publisher posted a blank white page with the cryptic phrase, “This article has been withdrawn due to article violation.” Springer Nature is nevertheless still selling the empty PDF for $39.95.

Planck died in 1947, his works are in the public domain in most countries.

The practice was especially common for luminaries like Planck. Albert Einstein did the same (but escaped retractions).

1942 titled “Sinn und Grenzen der exakten Wissenschaft” (“Meaning and Limits of Exact Science”), about how to achieve certainty in scientific knowledge, had also appeared in two other journals and been reprinted twice in books. Repackaging the same work multiple times is considered “self-plagiarism” and frowned upon today—the practice produces copyright conflicts and inflates scholars’ publication records. The Naturwissenschaften site gives “copyright violation” as the reason for the retraction.

The papers, both quietly retracted in 2011, originally appeared in the early 1940s in Naturwissenschaften, a German journal now owned by publishing giant Springer Nature

```dataview list from [[]] and !outgoing([[]]) ```

ESP32

Lees het als een overtuigend prototype van een nieuwe manier van maken. En tegelijk gewoon als mijn verhaal. Over wat me al die jaren heeft gedreven, wat al die nieuwsbrieven met elkaar verbindt en waarom ik nog steeds zo veel energie krijg van nieuwe gereedschappen die mensen meer speelruimte geven

Natuurlijk had er nog een stevige eindredactieronde overheen gekund. Sterker nog, normaal gesproken had ik dat vrijwel zeker gedaan. Nog wat aanscherpen. Hier en daar schrappen. Een paar overgangen gladder maken. Sommige zinnen net iets strakker trekken. Maar dit keer heb ik dat bewust niet gedaan. Juist omdat ik wilde laten zien wat er nu al mogelijk is. Ik heb een uitgebreide prompt, een verzameling instructies, gegeven over bedoeling, workflow en output.

Ik heb met hulp van AI een boek gemaakt op basis van honderden nieuwsbrieven die ik de afgelopen jaren schreef. Iets wat eerder waarschijnlijk een te groot, te duur of te tijdrovend project was geweest, is nu wel maakbaar geworden.

De meeste dingen die ik wil maken, kan ik nu ook maken.

Voor makers, uitgevers en experts met kennis, verhalen of archieven die te klein, te niche of te actueel leken voor een traditioneel boek.

De vraag die mij meer bezighoudt is veel praktischer: welke boeken kunnen nu wel gemaakt worden die eerder zouden zijn blijven liggen?

I have baked Karl Popper in the main company AI skill: everything we create (human or AI) should be challenged.

About the National Security Archive Founded in 1985 by journalists and scholars to check rising government secrecy, the National Security Archive combines a unique range of functions: investigative journalism center, research institute on international affairs, library and archive of declassified U.S. documents ("the world's largest nongovernmental collection" according to the Los Angeles Times), leading non-profit user of the U.S. Freedom of Information Act, public interest law firm defending and expanding public access to government information, global advocate of open government, and indexer and publisher of former secrets.

EuroVoc is managed by the Publications Office of the European Union

EuroVoc is a multilingual, multidisciplinary thesaurus covering the activities of the EU. It contains terms in 24 EU languages (Bulgarian, Croatian, Czech, Danish, Dutch, English, Estonian, Finnish, French, German, Greek, Hungarian, Irish, Italian, Latvian, Lithuanian, Maltese, Polish, Portuguese, Romanian, Slovak, Slovenian, Spanish and Swedish), plus in three languages of countries which are candidate for EU accession: Albanian, Macedonian and Serbian.

Collapse 18 Neuroethics and the Extended Mind Neuroethics and the Extended Mind Neuroethics and the Extended Mind What is the Extended Mind Hypothesis? What is the Extended Mind Hypothesis? The Debate Over the Extended Mind The Debate Over the Extended Mind The Extended Mind Hypothesis and Neuroethics The Extended Mind Hypothesis and Neuroethics Why the Extended Mind Thesis Might Not Matter After All Why the Extended Mind Thesis Might Not Matter After All References References

Abstract Neuroethics offers unprecedented opportunities as well as challenges. The challenges stem from the range of difficult ethical issues, which are confronted by neuroethicists. Issues concerning the nature of consciousness, of personal identity, free will, and so on, are all grist for the neuroethical mill. This article argues that this debate bears centrally on neuroethics and is significant for neuroethics. Whether the best interpretation of the facts to which proponents of the extended mind appeal is that the mind is genuinely extended, or merely embedded, or a reflection on these facts, are not in dispute but they reveal that the domain of neuroethics extends to all the processes and mechanisms subserving cognition, rather than just those processes and mechanisms internal to the skull. Once this fact is recognized both the scope of neuroethics and some of its characteristic concerns will be transformed.

Mijn systeem denkt niet in antwoorden maar in waarschijnlijkhedenDe meeste mensen denken binair: waar of onwaar, relevant of irrelevant. Maar de interessante antwoorden zitten zelden in die uitersten maar in de gradaties ertussen. Iets kan voor zeventig procent waar zijn in de ene context, en voor dertig procent in een andere. Daar bestaat een term voor: fuzzy logic, een formeel wiskundig systeem dat in 1965 werd bedacht door Lotfi Zadeh en dat draait om lidmaatschapsgraden in plaats van harde grenzen.Dat is precies hoe dit systeem werkt. Holmes zegt: het bewijs wijst voor 0.8 naar deze verklaring. Da Vinci zegt: de analogie klopt voor 0.6. Occam zegt: deze factor draagt voor 0.2 bij, schrap hem. De analisten leveren geen ja-of-nee maar gewogen signalen, en de eindredacteuren wegen die signalen tegen elkaar.

More effort, no meaningful benefit. This is what the negative studies measured.

This is where the paradox kicks in. This is where transformative learning lives.

CLI has been on every Unix system since 1971. No schema injection. No server to maintain. No auth overhead. Composable with pipes. And your agent already knows how to use it.It’s been on every machine since 1971. We just forgot to look.

Most of the conversation around MCP is about what it enables. If you flip it - and ask what agents actually need to run efficiently - the math looks pretty broken.

Best Practices Clear triggers: Define specific conditions for activation Focused scope: Each skill should do one thing well Informative prompts: Give Claude clear instructions Error handling: Account for edge cases in prompts Test thoroughly: Verify skills work across scenarios

Variables Available VariableDescription$CHANGED_FILESList of modified files$CURRENT_FILECurrently focused file$PROJECT_ROOTProject root directory$GIT_BRANCHCurrent git branch

Trigger Types TriggerDescriptiononFileChangeFiles matching glob pattern changeonCommandUser invokes a slash commandonGitHookGit operations (commit, push)onScheduleTime-based triggers

2. Create skill.json { "name": "test-runner", "description": "Automatically runs relevant tests when code changes", "triggers": { "onFileChange": ["**/*.ts", "**/*.tsx"], "onCommand": "/test" } }

Skill Structure .claude/skills/ └── my-skill/ ├── skill.json # Skill configuration ├── prompt.md # Instructions for Claude └── scripts/ # Optional helper scripts └── helper.sh

Skills are advanced automation capabilities that Claude can invoke automatically based on context. Skills vs Slash Commands FeatureSlash CommandsSkillsInvocationManual (/command)AutomaticTriggerUser types commandContext-basedComplexitySimple promptsScripts + promptsUse caseRepetitive tasksSmart automation

Test thoroughly: Run commands in different scenarios

Include specific files with curly braces: <!-- .claude/commands/optimize.md --> Analyze {src/utils/helpers.ts} for optimization opportunities.

Include context: Reference relevant files when needed

Use variables: $ARGUMENTS for flexibility

Clear instructions: Be specific about expected output format

Single responsibility: Each command should do one thing well

Using Arguments Commands can accept arguments via $ARGUMENTS: <!-- .claude/commands/explain.md --> Explain $ARGUMENTS in simple terms. Provide: - What it does - Why it's useful - Example usageCopy to clipboard Usage: /explain the useCallback hook

Command Locations # Global commands (available everywhere) ~/.claude/commands/ # Project-specific commands .claude/commands/