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 Â
Updates and recent posts about Red Hat.. Link
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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 Â
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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 hasnât .. read more Â
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Claudeâs 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 sharpâAI has a knack for inventing phantom sources... read more Â
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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 Â
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Researchers Fine-Tune LLM for Reasoning with Only 1,000 Examples
Meet the"Wait" token trickâa 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 Â
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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 Â
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âAI is already eating its ownâ: Prompt engineering is quickly going extinct
AI prompt engineering has vanished as a standalone job, absorbed into general AI roles. New AI roles demand deeper technical expertise and are reshaping the job market quickly... read more Â
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OpenAI plans to release a new 'open' AI language model in the coming months
OpenAI's having a change of heart. Picture a reluctant flipper resting on the high-dive, finally plunging into open waters. They're ready to unleash anâopenâ language model, thanks to pressure from competitors likeDeepSeekandMetawho have been living the open-source dream. CEO Sam Altman has conceded.. read more Â
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Alibabaâs âZeroSearchâ lets AI learn to google itself â slashing training costs by 88 percent
Alibaba researchers developed ZeroSearch to train large language models (LLMs) to search for information without using real search engines, reducing costs by up to 88%. ZeroSearch outperformed Google in experiments, demonstrating the potential for AI systems to simulate search and reduce reliance on.. read more Â
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