focused on Alphabet and AI

Joined April 2021
Nano Banana Pro just updated my 2022 $goog investing iceberg. Wow!
First draft of my $GOOG investing iceberg
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There's a whole textbook of research and systems breakthroughs sitting behind this release that I wish we could share with the world. Truly a special team, and much more to come!
This is Genie 4, our most realistic and interactive world model yet. 🌐 Explore dynamic environments in real time to see how the scene responds, sounds, and how the people in it move, react, and speak.
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Genie 4 is quite an insane experience, generating game-like enviornments as you go. It isn't flawless but I can type "Neogothic brutalist city inhabited by robots and horses" & it creates one in a minute. Then I asked it to add dragons. Then a friendly otter NPC. All in realtime
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Genie 4's real-time prompt steering in HD world models. Insane spacial physics. $GOOG is at the frontier of world models nobody is close. This could be the start of infinite simulation and training for embodied AI.
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Excited to share Genie 4 today our most realistic and interactive world model: - steer dynamic environments in real time, shaping events, camera angles, and actions - generate native audio matched to the world, from realistic background sounds to characters who can converse in real time! - simulate photorealistic scenes and real-world physics - create more coherent multi-step events through reasoning from Gemini We've started to roll out as a research preview to trusted testers. Coming soon to Google AI Ultra subscribers in Project Genie and early access partners via the Gemini API and AI Studio.
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Anthropic S-1 $ANT states their primary competitors are OpenAI and $GOOG
Anthropic has filed an S-1 registration statement with the SEC related to its proposed IPO. Read more: anthropic.com/news/s1-sec Legal disclaimer: A registration statement relating to these securities has been filed with the SEC but has not yet become effective. These securities may not be sold, nor may offers to buy be accepted, prior to the time the registration statement becomes effective. This post does not constitute an offer to sell or the solicitation of an offer to buy these securities, nor shall there be any sale of these securities in any state or jurisdiction in which such offer, solicitation or sale would be unlawful prior to registration or qualification under the securities laws of any such state or jurisdiction.
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🔐 Appreciate the call-out to Gemini 4 Argon in this blog post from the Wiz team: "Notably, Gemini 4 Argon made an invaluable contribution to finding the vulnerability, exploit development, attack detection, and validation of the patch." "We’d also like to express our sincere gratitude towards [Google] for helping prepare guidance and out-of-the-box mitigations for customers who cannot apply the patch immediately." 🔗wiz.io/blog/php2shell-php-rc…
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Sundar seems to confirm rumored research breakthroughs on Gemini 5 pretraining $goog xitter.cf/pequityresearch/status…
CEO of Google, Sundar Pichai, on why Google keeps spending on capex despite negative free cash flow: "The strength and durability of the demand signals we are seeing. To do something like this, you have to be confident at multiple levels. One is, I think we are fortunate to have early signals from such a diversified opportunity set, all the way from consumers to enterprise. We are seeing that robust demand signals." "You are also getting sense of breakthroughs from research which give you a sense of okay, will Gemini 5.0 be much better than where Gemini 4 Argon is? The answer is yes." "We also have durable long term contracts with committed revenue which we are signing, so it is not just hope right?" Via @alexeheath $GOOGL
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CEO of Google, Sundar Pichai, on why Google keeps spending on capex despite negative free cash flow: "The strength and durability of the demand signals we are seeing. To do something like this, you have to be confident at multiple levels. One is, I think we are fortunate to have early signals from such a diversified opportunity set, all the way from consumers to enterprise. We are seeing that robust demand signals." "You are also getting sense of breakthroughs from research which give you a sense of okay, will Gemini 5.0 be much better than where Gemini 4 Argon is? The answer is yes." "We also have durable long term contracts with committed revenue which we are signing, so it is not just hope right?" Via @alexeheath $GOOGL
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maybe i'm taking crazy pills but winning big in AI, like winning really really big in AI, requires two things. it requires scale, and it requires vertical integration from workload through components of the data center... and Google has been preparing for that war for decades
OPENAI AND GOOGLE STRIKE MAJOR AI DISTRIBUTION DEAL OpenAI will bring its frontier AI models, including GPT-6 Astra, and Codex to Google Cloud in the coming weeks. Enterprise customers will be able to purchase them through Google Cloud Marketplace, using existing cloud spending commitments. The agreement follows OpenAI's expansion to AWS after its exclusive Microsoft distribution arrangement ended.
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Gemini 4 Argon leads GPU optimization on Isoquant's new Inference Engineering Benchmark: a 4.38× mean speedup across 9 tasks, ahead of GPT-6 Astra (3.71×) and Muse Wonder 1.0 (3.66×). We evaluate how well AI models improve inference performance across 15 tasks. 🧵
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In just the first 72 hours since Gemini 4 Argon launched, we processed ~25 trillion tokens, the demand for intelligence is incredible and still under appreciated!
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PyTorch 🤝 Google TPUs. TorchTPU is officially open source! 🚀
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We tested Gemini 4 Argon on @depthfirstlabs dfbench, our benchmark for finding real vulnerabilities in code. On application and smart-contract tasks, where it rarely refused, it found 74% of known vulnerabilities, the highest recall we have measured. Across all 165 tasks it scored 67.5%, second only to Mythos 5 (69%{.
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Btw pretty bullish about Google being at the frontier for the big milestones, when all is said and done
ALERT🚨: NVIDIA has been working overtime, nights, and weekends after being shocked 🤯 by last week’s TPUv7 FP8 submission showing better performance per dollar. Unfortunately for NVIDIA, its first GB300 FP4 counter-submission is still 1.64x worse in performance per dollar than TPUv7 for external customers across most of the end-to-end performance curve. The x-axis of the graph below uses end-to-end latency, so a higher curve is better. The TPUv7 curve has higher perf per $ across most of the E2EL Pareto frontier. This initial submission looks like NVIDIA’s first attempt to close the gap, but the gap is still massive. We expect more counter-submissions from NVIDIA as they continue trying to narrow the difference.
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Gemini 4 Argon sets a new record on WANDR. It is now available in Perplexity for Pro and Max subscribers.
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ALERT🚨: Last night, Google just submitted their FIRST TPUv7 Agentic benchmark, and it delivers 1.42x 🚀 better perf per dollar than GB300 NVL72 FP4, even on an external non-Google workload cost basis! TPUv7 is even 2.5x better than AMD MI355X👇️ (1/3)🧵
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$GOOG just broke open a 20-year quantum computing bottleneck by creating actual "magic states" and you're bearish?
Some magical progress towards "magic state" in quantum! Our @GoogleQuantumAI team has demonstrated "magic state cultivation" on physical hardware for the first time. The result is a 40x error reduction on our Willow processor vs. previous methods, achieving a state-of-the-art 99.99% logical fidelity. It's another step towards useful, error-corrected quantum computers to help solve the hardest problems. The result is published in Science today, watch the video below to see how it works
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Confirmed! Argon absolutely nails data analysis and excel tasks Just flipped it on in production An insanely huge quality jump compared to Opus, and it's cheaper too ♥️
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It’s extremely funny to tell this to people coming into a ton of money
OPENAI to EMPLOYEES: If someone is trying to seduce you, first consider — could they be a spy??? OpenAI is warning its employees about honeypot spies and strangers with children in playgrounds ... a very fun one with @georgia_wells and @MeghanBobrowsky: wsj.com/tech/ai/ai-companies…
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the company with the best model in the world also doesn't need a monster ARR to stay in business. $goog
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