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Nous’ latest blog on thinning efficiency across models was cited just two days after its posting 🤗 Check that blog out here: https://t.co/aeBjRPR22h https://t.co/6zFLbq3lcu
🤖Introducing OptimalThinkingBench 🤖 📝: https://t.co/cffhCY4eQw - Thinking LLMs use a lot of tokens & overthink; non-thinking LLMs underthink & underperform. - We introduce a benchmark which scores models in the quest to find the best mix. - OptimalThinkingBench reports the F1 sco
George Retes was a security guard who had the misfortune of driving home at the time the Trump admin was doing an immigration raid. When he asked agents to let him through, he had his car windows smashed, was dragged out, and then held for 3 days without charge. https://t.co/uSFzklXvZz
US citizens across the country have been caught up in immigration raids, arrested, and detained. How do they get justice when their constitutional rights have been violated? @IJ is taking on the case of veteran George Retes. https://t.co/ddU7ug3ZqS
https://t.co/wckMWO1pxe
He said, “I think that’s a better model we could practice with superintelligent AI.” Source: https://t.co/HphVFxFTZ4
They see this subscription as a way to give people that extra power without having to buy a whole new car. It’s definitely a strange approach. Source: https://t.co/gC1tb3qlSo
💡 @MindbeamAI helps Fortune 500 companies pre-train LLMs on #AWS. We caught up with Nil Osae, the company’s Founder & CEO, at the AWS NYC Summit to learn more about the future of #AI infrastructure. Find us at AWS Summit LA to connect. 🚀 https://t.co/zdjDaVniMH https://t.co/bAsluLmKkV
💡 @MindbeamAI helps Fortune 500 companies pre-train LLMs on #AWS. We caught up with Nii Osae, the company’s Founder & CEO, at the AWS NYC Summit to learn more about the future of #AI infrastructure. Find us at AWS Summit LA to connect. 🚀 https://t.co/DKRj4Tc0nd https://t.co/UUsTUGdxNq
Earnings Setup: $HD vs $LOW HD Tue → LOW Wed: - HD is eating LOW’s lunch in contractor biz - LOW data suggests relative weakness during critical DIY season - LOW stock +18% in the last month... ripe for disappointment PLAYBOOK: 1. Take ½ bearish position in LOW before HD reports. 2. If LOW pops on HD’s results → double to full position. If HD warns on tariffs/consumer, take profits on LOW drop prior to their report. Let's get another win -- @AndySwan, @landonswan, @mebrantley2
An incredible 100 million videos (!) have been made by creators using Veo3 in the Flow tool https://t.co/QgTpxTKAOi! Google AI Ultra subscribers, enjoy the 2x credits. Check out the new channel @FlowbyGoogle to keep up with the latest.
You have generated over 100M videos in Flow 🤯. We are SO grateful for your continued enthusiasm + support. As a token of our appreciation, here are two updates: 1.) AI credits are DOUBLED for all Ultra users 2.) We're launching @FlowbyGoogle, your new source for Flow tips and ne
An incredible 100 million videos (!) have been made by creators using Veo3 in the Flow tool https://t.co/QgTpxTKAOi! Google AI Ultra subscribers, enjoy the 2x credits. Check out the new channel @FlowbyGoogle to keep up with the latest.
Just as many businesses are transforming to become more capable by using AI, universities are too. I recently visited the UK to receive an honorary doctorate from the University of Exeter’s Faculty of Environment, Science and Economy. @UniofExeter The name of this faculty stood out to me as a particularly forward-looking way to organize an academic division. Having Computer Science sit alongside Environmental Science and the Business School creates natural opportunities for collaboration across these fields. Leveraging AI leads a university to do things differently. Speaking with Vice Chancellor Lisa Roberts, Deputy Vice Chancellor Timothy Quine, and CS Department Head Andrew Howes, I was struck by the university leadership’s pragmatic and enthusiastic embrace of AI. This is not a group whose primary worry is whether students will cheat using AI. This is a group that is thinking about how to create a student body that is empowered through AI, whether by teaching more students to code, helping them use AI tools effectively, or showing them what’s newly possible in their disciplines. Exeter is a wonderful place to create synergies between AI, environmental science, and business. It hosts 5 of the world’s top 21 most influential climate scientists according to Reuters, and its scholars are major contributors to reports by the UN’s IPCC (Intergovernmental Panel on Climate Change) as well as pioneers in numerous areas of climate research including geoengineering, which I wrote about previously. Its Centre for Environmental Intelligence, a partnership with the Met Office (the UK’s national weather service), applies AI to massive climate datasets. More work like this is needed to understand climate change and strategies for mitigation and adaptation. Add to this its Business School — named Business School of the Year by the consultancy Times Higher Education — and you have the ingredients for building applications and pursuing interdisciplinary studies that span technological, environmental, and economic realities. Having been born in the UK and spent most of my career in Silicon Valley, I find it exciting to see Exeter’s leadership embrace AI with an enthusiasm I more often associate with California. The UK has always punched above its weight in research, and seeing that tradition continue in the AI era is encouraging. Just as every company is becoming an AI company, every university must become an AI university — not just teaching AI, but using it to advance every field of study. This doesn’t mean abandoning disciplinary expertise. It means maintaining technical excellence while ensuring AI enhances every field. Like almost all other universities and businesses worldwide, Exeter’s AI transformation is just beginning. But the enthusiastic embrace of AI by its leadership will give it momentum. As someone who is proud to be an honorary graduate of the university, I look forward to seeing what comes next! [Original text: https://t.co/Y1PyN17Qzs ]
How America’s AI boom is squeezing the rest of the economy https://t.co/qvfupUDMHZ @TheEconomist
How America’s AI boom is squeezing the rest of the economy https://t.co/qvfupUDMHZ @TheEconomist
I got an AI to impersonate me and teach me my own course here’s what I learned about the future of education https://t.co/WZLwVXFTuV @ConversationUS
Top Crypto Traders Flip Bearish on BTC, ETH in Major Sentiment Shift https://t.co/uVGbWOXuSm @OKnightCrypto @coindesk
Top Crypto Traders Flip Bearish on BTC, ETH in Major Sentiment Shift https://t.co/uVGbWOXuSm @OKnightCrypto @coindesk
Massive AI spending has a ‘crowding out’ effect that could slow other sectors, top economist says https://t.co/meHMG19tUp @fortunemagazine
14 ways Googlers use AI to work smarter https://t.co/zvT10AqiC0 @google
14 ways Googlers use AI to work smarter https://t.co/zvT10AqiC0 @google
Today in 1945, George Orwell published a devastating critique of Communism. Animal Farm reveals why every communist revolution follows the same tragic pattern: liberation to corruption to oppression. Here are 10 truths from Animal Farm Orwell warned us never to forget 🧵👇🏼 https://t.co/lbz9FRRPgN
The transition from Antony Blinken to Marco Rubio as U.S. Secretary of State is one of the most significant upgrades in recent history. Your thoughts 💭 https://t.co/CW1juRhp7Y
Evals weren't that popular to talk about until @HamelHusain started writing about them. Now, he is running the largest and most successful evals course in history Join to learn how he uses AI to write compelling & practical content that makes an impact https://t.co/ni1hCF0mCY
The Evals FAQ gets updated frequently - ones we just added: Q: How do we evaluate a model’s ability to express uncertainty or "know what it doesn’t know"? Q: How should I version and manage prompts? Q: How do I make the case for investing in evals to my team? https://t.co/G7D4DkU2bM
The best way to get incremental updates is to subscribe to the newsletter: https://t.co/6O6SwObdTQ The full FAQ is here (see the sidebar for the PDF): https://t.co/izDC4FjnBP
@getpy you can find the link from here https://t.co/izDC4FjnBP
Our first DocETL paper has been accepted to VLDB 2025! DocETL is a system we’ve been building at Berkeley for reliable LLM-powered data pipelines, where the optimizer logically rewrites pipelines because even experts cannot author one that is accurate enough to begin with. I'll be presenting it at VLDB in a couple weeks. And because database papers rarely get traction on social media, I always like to give the backstory — in hopes that the story is fun or resonates more broadly. 😃
Building production AI systems without proper evals is like flying blind. I completed @HamelHusain and @sh_reya 's "AI Evals For Engineers & PMs" course (https://t.co/KIy7t9nHxb).
Gemini CLI https://t.co/KqQYfoWp0K
@danielmerja Same https://t.co/e7IOdyc3f0
@fofrAI @PrunaAI Not sure what I expected but this wasn't it 😂Also it's taking multiple minutes - something up / high demand? Second attempt was all grey (`Generation took 100.17 seconds Total safe images: 1 out of 1`) https://t.co/bOhdvEyY0O
Paradigm is the AI-native spreadsheet to eliminate menial work. Thousands of users have saved 10,000+ hours with Paradigm, and you can be next. Get your first month free today, then plans start at just $20/month. https://t.co/Ki9EVVfbh2
Method The system marries a dense retriever (Sentence‑Transformers + Chroma/FAISS) with Qwen2.5‑Instruct models; retrieval can be invoked as a “tool” inside a conversational agent. https://t.co/dMDLUAndw1
