Ars Technica - All contentContinue reading/original-link]

Amazon is offering the SiriusXM Roady BT In-Vehicle Satellite Radio Kit for $69.99 shipped. Down 30% from its normal going rate at Amazon, today’s deal marks a new low that we’ve tracked there and is also the first discount all-time at the retailer. Designed to deliver in-vehicle entertainment, the Roady BT satellite radio installs in your car and connects to your stereo through Bluetooth, 3.5mm aux, or over a built-in FM transmitter. You can choose to mount it via a magnetic vent or dash adapter and there’s an additional mounting system that’s sold separately should you need it. Plus, it comes with a three month free trial of Sirius XM or you could opt for 12 months of the brand’s Platinum Programming Package for $99. Keep reading for more.

more…

The post SiriusXM Roady BT in-car satellite radio kit lets you tune in anywhere for $70 (First sale) appeared first on 9to5Toys.

Ars Technica - All contentContinue reading/original-link]

5.8 C
New York
[tds_menu_login guest_tdicon="td-icon-profile" logout_tdicon="td-icon-log-out" tdc_css="eyJhbGwiOnsibWFyZ2luLWJvdHRvbSI6IjAiLCJkaXNwbGF5IjoiIn19" toggle_txt_color="var(--news-hub-white)" menu_offset_top="eyJhbGwiOiIxOSIsImxhbmRzY2FwZSI6IjE3IiwicG9ydHJhaXQiOiIxNSJ9" menu_offset_horiz="eyJhbGwiOi02LCJsYW5kc2NhcGUiOiItMyIsInBvcnRyYWl0IjoiLTIifQ==" menu_horiz_align="content-horiz-right" menu_bg="var(--news-hub-black)" menu_uh_color="var(--news-hub-light-grey)" menu_uh_border_color="var(--news-hub-dark-grey)" menu_ul_link_color="#ffffff" menu_ul_link_color_h="var(--news-hub-accent-hover)" menu_ul_sep_color="var(--news-hub-dark-grey)" menu_uf_txt_color="var(--news-hub-white)" menu_uf_txt_color_h="var(--news-hub-accent-hover)" menu_uf_border_color="var(--news-hub-dark-grey)" f_uh_font_family="325" f_uh_font_line_height="1.3" f_links_font_family="325" f_links_font_line_height="1.3" f_uf_font_line_height="1.3" f_uf_font_family="325" menu_uh_padd="eyJhbGwiOiIyMHB4IDI1cHggMThweCIsImxhbmRzY2FwZSI6IjE1cHggMjBweCAxM3B4IiwicG9ydHJhaXQiOiIxMHB4IDE1cHggOHB4In0=" menu_ul_padd="eyJhbGwiOiIxOHB4IDI1cHgiLCJsYW5kc2NhcGUiOiIxNnB4IDIwcHgiLCJwb3J0cmFpdCI6IjhweCAxNXB4In0=" menu_ul_space="eyJhbGwiOiIxMCIsImxhbmRzY2FwZSI6IjgiLCJwb3J0cmFpdCI6IjYifQ==" menu_ulo_padd="eyJhbGwiOiIxOHB4IDI1cHggMjBweCIsImxhbmRzY2FwZSI6IjEzcHggMjBweCAxNXB4IiwicG9ydHJhaXQiOiI4cHggMTVweCAxMHB4In0=" menu_shadow_shadow_size="0" menu_arrow_color="rgba(255,255,255,0)" menu_width="eyJhbGwiOiIyMjAiLCJwb3J0cmFpdCI6IjE4MCJ9" show_version="" menu_gh_padd="eyJhbGwiOiIyMHB4IDI1cHggMThweCIsImxhbmRzY2FwZSI6IjE1cHggMjBweCAxM3B4IiwicG9ydHJhaXQiOiIxMHB4IDE1cHggOHB4In0=" menu_gc_padd="eyJhbGwiOiIxOHB4IDI1cHggMjBweCIsImxhbmRzY2FwZSI6IjEzcHggMjBweCAxNXB4IiwicG9ydHJhaXQiOiI4cHggMTVweCAxMHB4In0=" menu_gh_color="var(--news-hub-light-grey)" menu_gh_border_color="var(--news-hub-dark-grey)" f_gh_font_family="325" menu_gc_btn1_bg_color="var(--news-hub-accent)" menu_gc_btn1_bg_color_h="var(--news-hub-accent-hover)" menu_gc_btn2_color="var(--news-hub-accent)" menu_gc_btn2_color_h="var(--news-hub-accent-hover)" f_btn1_font_family="325" f_btn1_font_transform="uppercase" f_btn2_font_family="325" f_btn2_font_transform="uppercase" f_btn1_font_weight="700" f_btn2_font_weight="700" show_menu="yes" f_uf_font_size="eyJsYW5kc2NhcGUiOiIxMiIsInBvcnRyYWl0IjoiMTIifQ==" icon_color="var(--news-hub-white)" icon_size="eyJhbGwiOjIyLCJsYW5kc2NhcGUiOiIyMCIsInBvcnRyYWl0IjoiMTgifQ==" avatar_size="eyJhbGwiOiIyMiIsImxhbmRzY2FwZSI6IjIwIiwicG9ydHJhaXQiOiIxOCJ9" ia_space="eyJhbGwiOiIxMCIsImxhbmRzY2FwZSI6IjgiLCJwb3J0cmFpdCI6IjYifQ==" f_toggle_font_family="325" f_toggle_font_size="eyJhbGwiOiIxNCIsImxhbmRzY2FwZSI6IjEzIiwicG9ydHJhaXQiOiIxMiJ9" logout_size="eyJhbGwiOjE0LCJsYW5kc2NhcGUiOiIxMyJ9" f_uh_font_size="eyJsYW5kc2NhcGUiOiIxMyIsInBvcnRyYWl0IjoiMTIifQ==" f_links_font_size="eyJsYW5kc2NhcGUiOiIxMyIsInBvcnRyYWl0IjoiMTIifQ==" f_gh_font_size="eyJsYW5kc2NhcGUiOiIxMyIsInBvcnRyYWl0IjoiMTIifQ=="]

New secret math benchmark stumps AI models and PhDs alike

Published:

On Friday, research organization Epoch AI released FrontierMath, a new mathematics benchmark that has been turning heads in the AI world because it contains hundreds of expert-level problems that leading AI models solve less than 2 percent of the time, according to Epoch AI. The benchmark tests AI language models (such as GPT-4o, which powers ChatGPT) against original mathematics problems that typically require hours or days for specialist mathematicians to complete.

FrontierMath's performance results, revealed in a preprint research paper, paint a stark picture of current AI model limitations. Even with access to Python environments for testing and verification, top models like Claude 3.5 Sonnet, GPT-4o, o1-preview, and Gemini 1.5 Pro scored extremely poorly. This contrasts with their high performance on simpler math benchmarks—many models now score above 90 percent on tests like GSM8K and MATH.

The design of FrontierMath differs from many existing AI benchmarks because the problem set remains private and unpublished to prevent data contamination. Many existing AI models are trained on other test problem datasets, allowing the AI models to easily solve the problems and appear more generally capable than they actually are. Many experts cite this as evidence that current large language models (LLMs) are poor generalist learners.

Read full article

Comments

Ars Technica - All contentContinue reading/original-link]

Related articles

spot_img

Recent articles

spot_img