@emollick „It doesn’t just deserve weight; it deserves deep reflection“ :)
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Matthias Willau
1.1K posts
Matthias Willau
@MattWil12
Founder-Leibniz Mechanics Developing Prudentia, an auditable ai co-pilot for the European Regulatory Framework. Personal account.
Vienna Katılım Ekim 2016
1.9K Takip Edilen155 Takipçiler
I keep coming back to this tweet. The phrase “the list” is doing the heavy lifting. The post deserves the weight. It is a load bearing post.
Joe Weisenthal@TheStalwart
You should add the phrase “doing real work” to the list of signs that the text you’re reading was probably generated by Claude.
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@willchen500 I don’t see how the Lab path would solve this. Labs have the same issue: how to actually operationalize ai in Business processes.
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@MattWil12 I think they could do that. Or acquisition by one of the big labs.
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How many times has Legora marketed itself as having "agentic workflows", being an "agentic platform" before now being an "agentic OS™". Just go to google and search 'site:legora.com "agentic"' to see for yourself.
I looked at the announcement and I frankly failed to spot anything new other than a flashy demo and a trademark.
Not only that but there seems to be a bad formatting error on the announcement page which I assumed comes from vibe code. Did no one check it before it went out.
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@Gadsden_Flag_ @BachmannRudi Wenn Sie eine sachliche Debatte führen wollen gerne, Polemik finde ich uninteressant.
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Hier seht ihr, warum Europa keinen wirklichen Binnenmarkt hat. Und warum es mit dem Wachstum in Europa nicht so klappt.
David Domjahn@domjahn
Wir (pokefy.de) verkaufen gerne in Europa. Und hören trotzdem damit auf. Was kostet z. B. ein Paket nach Österreich? 14,50 € Porto. Realität für uns als Gewerbetreibende: 135 € pro Paket bei gerade einmal zehn Sendungen pro Jahr nach Österreich 2025. Dabei sind wir nur eine kleine GmbH aus Deutschland mit vereinzelten Kunden in Europa. Unser gesamtes jährliches Aufkommen für den EU-Export liegt bei etwa 100 Kilogramm Verpackung. Nicht Tonnen. Kilogramm. Die Rechnung für Österreich allein: Wer als ausländisches Unternehmen nach Österreich verschickt, ist gesetzlich verpflichtet, die Entsorgung der Verpackung zu lizenzieren und dafür einen lokalen Beauftragten zu benennen, der die Einhaltung der Vorschriften garantiert und dafür haftet: - Porto (10 Pakete à 14,50 €): 145 € - Jahrespauschale Verpackungsbeauftragter: 450 € - Notarkosten für die Vollmachtsbeglaubigung: 150 € - Opportunitätskosten: 600 € Und das ist nur Österreich. Frankreich verlangt z. B. ein eigenes Logo samt Anleitung auf jedem Versandkarton, sonst drohen empfindliche Bußgelder. Spanien, Italien, Polen: jeweils eigene Anforderungen, eigene Register. Ab Mitte 2026 kommen mit der EU-Verpackungsverordnung #PPWR weitere Pflichten hinzu. Konzerne verteilen solche Fixkosten auf Millionen Sendungen. Für kleine Unternehmen und Selbständige wird daraus ein reales Exporthindernis. Das ist kein Versehen des Gesetzgebers, sondern ein struktureller Konzentrationsvorteil zugunsten großer Marktteilnehmer. Dahinter steht ein System mit eigener Ökonomie: Wer Verpackungen in Verkehr bringt, muss deren spätere Entsorgung lizenzieren. Allein in Deutschland fließen dabei jährlich Milliardenbeträge an Lizenzentgelten an marktbeherrschende Entsorgungsunternehmen. Diese profitieren dabei mehrfach, über Lizenzgebühren beim Inverkehrbringen von Verpackungen über die Abholung und Verwertung der eingesammelten Rohstoffe. Komplexität ist dabei kein Fehler im System; sie ist Teil des Geschäftsmodells. Besonders grotesk wird das im Vergleich mit Plattformversendern aus Fernost. Millionen Kleinsendungen fluten den europäischen Markt bei erkennbar geringerer Vollzugsintensität. Der europäische Mittelstand wird kontrolliert, weil er greifbar ist. Der ursprüngliche Gedanke hinter der @EUCouncil war ein anderer: ein gemeinsamer Binnenmarkt, der Grenzen abbaut statt neue errichtet. Stattdessen: 27 nationale Compliance-Silos, die kleinen Unternehmen den Export systematisch verleiden. Was sich ändern müsste: 1. Eine zentrale EU-Registrierung statt 27 nationaler Alleingänge 2. Eine De-minimis-Regelung für Kleinversender 3. Konsequenter Vollzug gegenüber Drittstaatsversendern statt Belastung des europäischen Mittelstands Wir ziehen uns deshalb vorerst auf Deutschland und die Schweiz zurück, weil wir unsere Energie lieber in Produkte und Kunden investieren. Die aktuelle EU-Bürokratiearchitektur erleben viele Unternehmen nur noch als Belastung. Wir sind Unternehmer und keine Verpackungsjuristen, @vonderleyen , @DIHK_News, @MarkusFerber , @svenja_hahn , @nicolabeerfdp , @ANiebler Gerne reposten - es betrifft den Mittelstand generell.
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@Gadsden_Flag_ @BachmannRudi zurecht. Die Kosten für 5.000 hoch kompetente Beamte stehen in keinem Verhältnis zu den Risiken die dadurch mitigiert werden können.
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@MattWil12 @BachmannRudi Zur Regulierung der KI werden dann auch wieder 5.000 Beamte eingestellt. 🤷♀️
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@ryanjdaniels Interesting. Do you think there still needs to be a human in the loop?
And do you even need better llm models for this?
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Law firms of the future look like quant firms. Skills/encoded judgment are the new trading strategies. That is where the real value lives.
Dev teams just build better infra to empower the “legal quants.”
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Legal AI is still far from solved.
The breakthroughs needed will generalize to all knowledge work. A community is needed to get there, and Harvey is helping build it.
Gabe Pereyra@gabepereyra
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I’m beginning to see a very different version of the future where there are just data providers and there are people easily build their own software on top of it with simple descriptions of what they want to see
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@FinanceDirCFO I understand your objections completely. I think it can only work if every information is fully and easily auditable for review. That requires quite complex organisation and process specific architectures. Even a more "intelligent" llm cannot solve this.
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@MattWil12 I'm prepared to consider that as a concept, but since agents seem to be universally badly designed and distinctly un-auditable (almost certainly on purpose), I'm not optimistic...
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AI agents are a horrifically bad idea on every level.
The risks are incalculable and the benefits are marginal (at best).
On a risk/reward basis letting them loose on your bank account is insane.
You don't need to understand maths terribly well to work that out for yourself...
Andrew Orlowski@AndrewOrlowski
A BBC experiment demonstrates that AI agents are a disaster, but the scientist* cannot accept the evidence. She cannot go where the evidence takes her. She can't say "we built the wrong AI", because, like Galileo, that would invite persecution. And no one wants the Spanish Inquisition! So Fry has to say the catechism: AI can only get better. AI can only get better. AI can only get better. Tell me we're not in pre-Enlightenment times. theregister.com/2026/05/05/bri…
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@RobinMstocks @jimcramer Disagree. Inference efficiency is improving around an order of magnitude per year. Running structured ai workflows is not that expensive already.
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@jimcramer Agree. The use of inference as an AI workload will get significantly higher as the world integrates AI into its systems.
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The AI compute economy is being driven by Anthropic and Open AI but there will be many more..
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now tell me again how an API is going to automate all the jobs
anu@anuatluru
The next big thing in AI is … Services as a Service.
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@gailcweiner Since „reasoning“ models there has not been a leap in real world utility, despite the climbing of benchmarks. It feels ever more weird that they pay tens of billions for an update of a Chatbot.
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Can we all stop treating US AI companies like some all empowering gods - not everything they launch is groundbreaking.
The hype is starting to get stale.
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@gabriel1 I fear demand is relatively inelastic. There is empirical research on this. Can’t find it rn, but ask your chat thingy
I’m not gonna sue more people, just because it’s cheaper..
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Matthias Willau retweetledi
A reminder that telling the AI that it is an expert in a field is no longer helpful in making the AI better at that field.
Ethan Mollick@emollick
We tested one of the most common prompting techniques: giving the AI a persona to make it more accurate We found that telling the AI "you are a great physicist" doesn't make it significantly more accurate at answering physics questions, nor does "you are a lawyer" make it worse.
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Matthias Willau retweetledi
The more I work with AI, the less I believe anything the AI boosters tell me about how well it works. It's all surface appearances. Everywhere I push deeper, it's less smart than it first seems.
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@ericosiu rare reasonable take on this platform. Many people here seem to think a generic chatbot will operationalize entire departements of organisations. wild stuff. so you also think frontier labs are doomed?
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Agencies/consulting firms that go deep in areas such as healthcare, finance, marketing, etc. will have an initial edge.
The new agencies will have forward deployed specialists customizing agents for their clients based on their infrastructure and workflows.
If you tear your ACL, you want to go to an ACL surgeon. No different in this case.
Future scaled agencies will simply have departments that specialize in each area.
A few years ago, PE firms were paying 15-20x multiples for agencies. That dried up in recent years.
However, I’m hearing of 30x multiples for AI-led agencies.
Translation: there’s a ton of opportunity for AI-led service companies right now if you learn to surf the wave now.
In the mid-term, I think we’re going to see the same PE playbook of larger agencies gobbling up AI-led specialist agencies to stay relevant.
What was old will become new again.
Aaron Levie@levie
Whether it’s existing consulting firms, new ones that emerge, FDEs from agent vendors, or new internal agent engineering roles, the amount of work that is going to be created to implement agents in enterprises will exceed anything we imagine today. The complexity of implementing agents in any existing organizations is very real. When I talk to large enterprises, as you move from a chat paradigm to agents that participate in meaningful workflows, there are a number of things they need to do. First, you have to get agents to be able to talk to your data securely across your systems. In many cases, enterprises have decades of legacy infrastructure that contain the valuable context for AI agents. That’s going to take a ton of work to go modernize and move to systems that work well with agents. Then, you need to ensure that you’ve implemented agents with the right access controls and entitlements, the right scopes to be safely used, and have ways of monitoring, logging, and securing the work that they do. Next, you need to actually document the processes in the organization in a way that agents can utilize for doing the work. You also need to figure out what the new workflow looks like when agents and people are working together on a process, and who steps in where. Just replicating the old workflow will mute the gains. Oh and you likely need to create evals for your top new end-state processes. Finally, you have to keep up with a rapidly changing set of best practices and architectural shifts happening in the agent space. While it’s fun for people to change their personal productivity tools on a dime, it’s 100X harder to do this in a business process. The speed of change is a blessing and a curse right now for anyone trying to keep a stable system design. All of this means that individuals and companies that develop expertise on the above set of components (and more) are going to be needed to help organizations actually implement agents at scale. This is also the rationale for vertical AI agents right now that can go in deep on a business domain and help bring automation to it. This is a huge opportunity right now whether you’re doing this internally or as an external business provider.
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@brian_a_burns @heyitsalexsu very insightful, thanks. Many of the arguments are reasons why I build a regulatory Co-Pilot for European regulations, as a former regulator myself.
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Great essay on the nuances of GTM in legaltech by @heyitsalexsu:
"It is genuinely difficult to identify a company that took a traditional SaaS GTM motion and won in core legal work."
alexofftherecord.com/p/credibility-…
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