ContentPosts from @gaomengen..
Link
@faun shared a link, 6 months, 3 weeks ago
FAUN.dev()

Claude’s AI research mode now runs for up to 45 minutes before delivering reports

Anthropic's Claude just supercharged its Research feature, cranking out reports from hundreds of sources in a blazing 45 minutes.But stay sharp—AI has a knack for inventing phantom sources... read more  

Claude’s AI research mode now runs for up to 45 minutes before delivering reports
Link
@faun shared a link, 6 months, 3 weeks ago
FAUN.dev()

AI predicted the next pope. Did it get it right?

A.I. algorithm incorrectly predicted Italian Cardinal Parolin as next pope; new model analyzes voting trends and predicts U.S. Cardinal Prevost as a compromise candidate. Model may improve with inclusion of more political and geographical data, but current analysis offers insights into potential pap.. read more  

Link
@faun shared a link, 6 months, 3 weeks ago
FAUN.dev()

Google debuts an updated Gemini 2.5 Pro AI model ahead of I/O

Gemini 2.5 Pro Preview (I/O edition)is here, flexing its muscles in code editing and web app creation. This newcomer muscles its way to the top of theWebDev Arena Leaderboard. As if that wasn't enough, it scores a jaw-dropping84.8%on VideoMME for video analysis. And guess what? The price tag hasn’t .. read more  

Google debuts an updated Gemini 2.5 Pro AI model ahead of I/O
Link
@faun shared a link, 6 months, 3 weeks ago
FAUN.dev()

Stop overbuilding evals

Over-engineering smothers momentum. Get it to prod yesterday. Imperfection? Own it. Tweak with real folks in the wild. Feature flags and sanity checks? Priceless. Theory's just noise until reality weighs in... read more  

Link
@faun shared a link, 6 months, 3 weeks ago
FAUN.dev()

Researchers Fine-Tune LLM for Reasoning with Only 1,000 Examples

Meet the"Wait" token trick—a clever nudge that sharpens a model's reasoning. It mirrors OpenAI's o1-preview magic using only 1,000 examples. And guess what? Not a speck of reinforcement learning in sight... read more  

Researchers Fine-Tune LLM for Reasoning with Only 1,000 Examples
Link
@faun shared a link, 6 months, 3 weeks ago
FAUN.dev()

Most AI spending driven by FOMO, not ROI, CEOs tell IBM

Only25%of AI projects actually deliver returns on investment. Yet,61%of CEOs are ready to double down and scale their AI agents. Surprisingly,64%jumped in headfirst, investing before the payoff even showed its face... read more  

Most AI spending driven by FOMO, not ROI, CEOs tell IBM
Link
@faun shared a link, 6 months, 3 weeks ago
FAUN.dev()

Amid DeepSeek Threat Sundar Pichai-Led Google Ups AI-Generated Coding By Over 30% To Boost Productivity

Google now churns out more than 55% of its code with AI, a big leap from last year's 25%.Meanwhile, CEO Sundar Pichai plays it cool, warning we're still in the AI toddler phase. But they're not just tinkering. Google's diving headfirst into AI Modes with Search, aiming to flip the script for a billi.. read more  

Amid DeepSeek Threat Sundar Pichai-Led Google Ups AI-Generated Coding By Over 30% To Boost Productivity
Link
@faun shared a link, 6 months, 3 weeks ago
FAUN.dev()

AI use damages professional reputation, study suggests

Duke University reveals a startling twist: AI tools like ChatGPT don't just supercharge work; they also slap users with unfair labels.Lazy. Replaceable. These biases stick to everyone, demographics be damned. Even when productivity soars, fellow workers and bosses often question AI users' competence.. read more  

AI use damages professional reputation, study suggests
Link
@faun shared a link, 6 months, 3 weeks ago
FAUN.dev()

Cloudflare CEO: AI is killing the business model of the web

Google's dominance in search is fading due to AI, leading to a decline in traffic for content creators, threatening the web's sustainability... read more  

Link
@faun shared a link, 6 months, 3 weeks ago
FAUN.dev()

Foundation Model for Personalized Recommendation

Netflixhas given its recommender system a makeover with a foundation model similar toLLMs. The goal? Turbocharge efficiency and scalability by making member preferences the star of the show. They turned user interactions into tokens, kind of like BPE in NLP, and employedsparse attentionto zero in on.. read more  

Foundation Model for Personalized Recommendation