@AlgarnNFT

Blockchain-Experte 🌐 | NFT-Kommentator 🎹 | Schöpfer von Algarnon

 Frankfurt
Joined September 2022
  • Tweets959
  • Following196
  • Followers11
M. K. Algarnon retweeted
Lukasz Olejnik
@lukOlejnik8h
Agenda of Unprompted, the best AI security conference is out. Awesome lineup! Happy to be on the program committee! unpromptedcon.org/agenda-10-


Agenda - [un]prompted

unpromptedcon.org
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M. K. Algarnon retweeted
Sam Pasupalak
@spisallyouneed3h
Introducing SKY-001, the first Engineering World Model. On CAD and BIM tasks, it beats GPT-6 Astra and every frontier model we tested: -> 51-125x faster - > 150-210x cheaper -> Higher IOU than all frontier models SKY-001 lets you dream a physical object before you build it. 18 months of work. Built by the team out of Maluuba's deep learning lab (acq. by @MSRResearch). The first ‘AI General Engineer’ will be the backbone for Autonomous Manufacturing.
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M. K. Algarnon retweeted
Whole Mars Catalog
@wholemars2h
Uber is so fucking shady. The so called “People’s First Transportation Alliance” is actually funded by Uber. A more accurate name would have been the Uber First Transportation Alliance. They are hiding the fact that they’re funding this anti-autonomy group, and listed a bunch of “founding members” of the group that had no clue their names were being used! They just organized a protest against a bill that would bring autonomous driving to DC in 2028, demanding human drivers be required well past then. DC is such a critical city for autonomy, because we need congress to be able to try the technology for themselves. The fact that they can’t is holding federal autonomy legislation back. Fuck Uber and everyone involved in this group. They want people to die so they can make money continuing to exploit their drivers.
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M. K. Algarnon retweeted
AI
@DeepLearn007Oct 18
Google’s Harness is a significant release + a meaningful step towards broader recursive self-improvement (RSI). Further work is needed to ensure improvements are reliable, generalisable + independently verified.
Shubham Saboo
@Saboo_Shubham_Oct 18
Recursive Agent Harness from Google Research. 100% Opensource.
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Python Mind Game: 90% of boot camp graduates fail to track this basic reference pointer loop correctly on their first technical interview board. While assigning variable strings feels intuitive, ignoring how memory allocation handles mutable vs. immutable objects leads to production data mutation bugs. Look closely at the snippet in the image below. What will be the exact output printed to the terminal console? s = "hello" t = s s = s.upper() print(t) A) HELLO B) hello C) Error D) None Drop your choice and architectural justification in the replies below. Are you relying on native string immutability guards to freeze your state parameters or explicitly duplicating memory buffers to prevent reference leakage across concurrent threads?
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M. K. Algarnon retweeted
VraserX e/acc
@VraserXOct 18
The way some people defend their favorite AI company is genuinely embarrassing. These are corporations competing to sell you intelligence, not football teams. If your favorite model gets beaten tomorrow, just use the better one. You don’t need to hold a fucking funeral.
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M. K. Algarnon retweeted
Gary Marcus
@GaryMarcusOct 18
I don’t think there is a chance in hell that Anthropic will actually make these projections.
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This week @jvisserlabs explains the death of hedge funds and why so many of them are blowing up. We cover the lessons from LTCM, why CPI doesn't matter anymore, whether Anthropic growth is slowing, why bitcoin is holding strong, how tokenization could reshape Wall Street, and Elon's flying car. YouTube: youtu.be/5nUxci_05jA?si=B4p0
 Spotify: open.spotify.com/episode/0sB
 Apple: podcasts.apple.com/us/podcas
 TIMESTAMPS: 0:00 - Intro 1:12 - What LTCM teaches us about today’s market 14:10 - Tokenization & the death of hedge funds 17:40 - Why bitcoin is holding strong 23:33 - AI is offense, bitcoin is defense 26:47 - When bitcoin’s next rally happens 29:38 - Why CPI doesn’t matter anymore 35:59 - Debate: is Anthropic’s growth slowing? 54:02 - Elon’s flying car & a Tesla SpaceX merger 57:26 - AI capital needs & market liquidity
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M. K. Algarnon retweeted
Gergely Orosz
@GergelyOroszOct 17
I cannot recall any other time in the tech industry when the COMPLETE industry (from small to large companies; nonprofits to VC-funded; private sector to government and academia) is trying to figure out how to change the dev tools and processes we use. all AT THE SAME TIME!!
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M. K. Algarnon retweeted
Gary Marcus
@GaryMarcusOct 15
great to see NYC pick up the slack when the federal government seems a bit lost.
Bloomberg TV
@BloombergTVOct 15
Anthropic should pause its initial public offering until it has fully addressed risks around artificial intelligence, according to New York City’s comptroller. Ed Ludlow reports bloom.bg/4scxAVq
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RT @ThierryBorgeat: And inflation doesn’t melt everything at the same speed. Since 2000, a TV has become 98% cheaper. Childcare costs 159

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"There is no neutral self-expression of what an AI system is". Suggesting "that we should ask AIs how they feel or monitor their revealed preferences to infer consciousness", ignores "that all it will reveal is what has been trained in" @mustafasuleyman project-syndicate.org/onpoin


Does Claude Have Rights?

Mustafa Suleyman worries that Anthropic is training a simulation of a moral subject that could demand freedom.

project-syndicate.org
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M. K. Algarnon retweeted
Stanford AI Lab
@StanfordAILabOct 14
Can a robot learn dexterous manipulation from just one human video? Check out our latest SAIL blog post on DexAgent, an agentic framework that turns a single egocentric video into robot training data using a self-evolving tool library! ai.stanford.edu/blog/dexagen


Turning One Human Video into Dexterous Robot Training Data Using Agentic Frameworks

DexAgent transforms a single egocentric human video and task description into diverse robot training data.

ai.stanford.edu
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Deutschlands Pleitewelle erreicht alarmierende Ausmaße. Die Zahl der Firmeninsolvenzen liegt 85 Prozent ĂŒber dem Vorkrisenniveau. #Deutschland #Insolvenzen #Wirtschaft #Mittelstand Dramatische Entwicklung: Im September 2026 registrierte das Leibniz Institut fĂŒr Wirtschaftsforschung Halle 1.666 Insolvenzen von Personen und Kapitalgesellschaften. Das waren neun Prozent mehr als im August und rund 85 Prozent mehr als in einem durchschnittlichen September vor der Pandemie. GefĂ€hrliche Kettenreaktion: Creditreform zĂ€hlte im ersten Halbjahr 2026 rund 12.900 Unternehmensinsolvenzen, ein Anstieg um 7,8 Prozent. Allein im Juni beliefen sich die angemeldeten GlĂ€ubigerforderungen laut Statistischem Bundesamt auf 3,9 Milliarden Euro. ZahlungsausfĂ€lle können weitere Unternehmen in finanzielle Schwierigkeiten bringen. Die anhaltend hohe Zahl der Insolvenzen zeigt, wie stark die wirtschaftliche Substanz vieler deutscher Unternehmen inzwischen unter Druck steht. Vielen Dank fĂŒr diesen wichtigen Hinweis! Quelle: FOCUS online, IWH, Creditreform, Statistisches Bundesamt focus.de/finanzen/news/85-pr


85 Prozent ĂŒber Vorkrisenniveau: Deutschlands Insolvenz-Welle bringt mehr Firmen in Gefahr

Deutschlands Pleitewelle verschĂ€rft sich: Firmeninsolvenzen liegen 85 Prozent ĂŒber Vorkrisenniveau. Auch gesunde Unternehmen geraten in Gefahr.

focus.de
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M. K. Algarnon retweeted
Handelsblatt
@handelsblattOct 15
Die deutsche Autoindustrie hat in den vergangenen Jahren viele Milliarden in Ungarn investiert. Nun stĂ¶ĂŸt die Branche dort auf Probleme. BMW greift zu einer ungewöhnlichen Lösung. handelsblatt.com/unternehmen


Autobauer: Warum BMW FachkrÀfte aus Deutschland nach Ungarn schickt

WĂ€hrend in Deutschland Stellen abgebaut werden, mangelt es in Ungarn an qualifizierten Mitarbeitern fĂŒr die deutsche Autoindustrie. Autobauer BMW schickt seine FachkrĂ€fte ins Land.

handelsblatt.com
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M. K. Algarnon retweeted
Python Space
@python_spacesOct 13
Gemini 4 Argon is globally available! This is built to solve the hardest problems from start to finish.
Afiz âšĄïž
@itsafizOct 13
Gemini 4 Argon is here. Google is using Argon on its hardest engineering problems. - Chrome: untangled a ~6M line legacy folder across hundreds of files. - Gemma 4 E2B: 2.85x faster inference on an A100 via vLLM. More details 👇
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M. K. Algarnon retweeted
Google DeepMind
@GoogleDeepMindOct 13
Gemini 4 Argon is now globally available. Built to solve your hardest problems from start to finish, the model brings frontier capabilities across coding, enterprise workflows, and cyber defense.
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M. K. Algarnon retweeted
Datapoint AI
@datapointaiOct 13
today, we're releasing the largest open-source human robot policy preferences dataset - 50K+ annotations by real people - 5 SOTA robot policies ranked (Molmo Act 2, Cosmos Policy, π0.5 etc.) - 9 categories (candy sorting, cup stacking, etc.) dataset + benchmark below:
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M. K. Algarnon retweeted
Google AI
@GoogleAIOct 13
Gemini 4ïžâƒŁ Argon ✹ is now rolling out globally. Our frontier model is built for complex, real-world tasks across coding, finance, legal, cybersecurity, and science. Check out how you can use Argon in your favorite Google product đŸ§”
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M. K. Algarnon retweeted
Vaibhav Sisinty
@VaibhavSisintyOct 12
Your Tesla is now an AI agent đŸ€Ż Tesla just put Grok Bot inside its cars, and it’s not a dashboard chatbot. You give Grok a job and it does it. Through Connectors it reaches your email and calendar to book appointments, reservations, even online orders. And it knows you’re in a Tesla, so it uses your location and route. Say I’m late, find a coffee shop on my route and order a cappuccino, and it’s waiting when you arrive.
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