
Tim Tesch
8.1K posts

Tim Tesch
@TNTesch
#ESG & #AI/algorithm governance consultant @certAInify, seed stage investor, #MKETech advocate. Blessed with wonderful family & faith community. #EthicalAI #ESS



🇮🇷🇺🇸 Mehr: This is the US-Iran MOU 1- Permanent and immediate cessation of war on all fronts, including Lebanon 2- The US commitment to non-interference in Iran's internal affairs and respect for the sovereignty of the Islamic Republic of Iran. 3- Complete lifting of the naval blockade within 30 days 4- The US commitment to withdraw its forces from around Iran 5- Reopening of the Strait of Hormuz within 30 days under Iranian arrangements 6- Suspension of sanctions on the sale of oil, petrochemical products, and derivatives, and full access of Iran to its financial resources. 7- The necessity for the US and its allies to present reconstruction plans for Iran amounting to at least 300 billion dollars 8- 60 days of negotiations to reach a final agreement based on nuclear issues and the complete lifting of primary, secondary, US sanctions, and UN Security Council and IAEA Board of Governors resolutions 9- Reiteration of Iran's commitment under the NPT treaty not to produce nuclear weapons 10- During the negotiation period, the US has committed not to add forces in the region and not to impose new sanctions. 11- Release of 24 billion dollars of Iran's blocked funds during the 60-day final negotiation period. Half of this amount must be made available to Iran before the start of negotiations. 12- Formation of a supervisory mechanism to implement the agreement. 13- The final agreement will be approved by a UN Security Council resolution. 14- Final negotiations will not begin before the release of half of Iran's blocked funds, suspension of Iran's oil sanctions, and lifting of the naval blockade, and the final agreement will only cover the fate of enriched materials and enrichment, lifting of sanctions, and Iran's economic reconstruction plan. Discussions about Iran's missile program and support for resistance groups are definitively removed from the agenda.











🇺🇸🇮🇷 The U.S. is firing Tomahawks but keeping a second pair of gloves on. Fmr. IDF spokesperson Jonathan Conricus breaks down why limited strikes won't force Iran to the table. "You don't bring them to signing a deal with striking a few military targets." If Iran widens its retaliation and pulls Israel in, this changes fast. @jconricus




Jensen Huang is a titan and a teacher. He recently sat down with me to explain his vision of the future of technology and humanity. He’s calm, clear, and very funny. We touched on many topics, ranging from the $20T or more AI economy in five layers to changes in labor for the AI age. Here are some of my main takeaways: 1) The world is moving from retrieval to generation 2) Generation offers intelligence customized to the individual 3) Nvidia is making the "generators" of intelligence 4) We've seen this kind of revolution at least three times before with energy (Generators), Telecommunications (vacuum tubes / transistors?), and now intelligence (GPUs) 5) There is a five-layer cake of participation in this many-many trillion dollar revolution: Energy, Chips, Infra, Models, and Applications. 6) There are many ways to participate in this revolution, and everyone has a role 7) We'll be pushed to dream up new problems to solve with this unprecedented intelligence 8) In this new future, it's not just having the answer, it's having the right questions 8) The right questions will drive us toward our individual and collective human purpose 9) We move from the carpenters to the architects I believe this is the realistic future. Thanks to Jensen and the entire @nvidia team for the conversation and for letting us share! 00:00 Introduction 00:42 From Chatbots to Generative AI 03:35 Agentic AI That Does Work 05:26 Downstream Industry Impact 06:25 Computing Shifts From Retrieval to Generation 11:26 A Planet Cocooned by Intelligence 14:27 Inside the NVIDIA AI Factory 20:48 AI Five Layer Cake 21:58 Beyond Chatbots to Biology 23:54 Tokens and World Models 24:53 Trillions in Applications 27:13 Ditch the AI Doom 31:32 Jobs Tasks vs Purpose 38:40 Closing the Tech Divide








JUST IN: Google $GOOGL and Nvidia $NVDA are considering Intel as a backup chip manufacturer.






SAM ALTMAN HAS A NEW PROBLEM. 🤯 Google just shrunk 31GB of AI memory down to 4GB. The tool is called TurboVec. It uses up to 16x less memory, searches faster than FAISS, runs fully offline, and works on a regular Mac. No expensive GPU cluster. No cloud dependency. No compromise on speed. → 16x lower memory usage → Faster vector search → Works with LangChain & LlamaIndex → 100% open source The race to build bigger AI models is loud. The race to make them dramatically cheaper just got a lot more interesting. Repo: github.com/RyanCodrai/tur…

$NVDA CEO Jensen Huang says he expects the memory shortage to last several more years. HBM uses far more wafer capacity than regular DRAM and depends on advanced packaging so even $MU, Samsung and SK Hynix cannot fix supply just by adding more wafers.





