Shane

Mar 1, 20262d

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1.

OpenAI signed a deal with the Pentagon to provide classified AI networks shortly after Anthropic was barred from federal agencies; Anthropic was labeled a supply chain risk by the Pentagon and said it would challenge that designation in court.

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OpenAI promised Canada tighter safety protocols after ChatGPT flagged a shooter's violent chats but did not notify police; the company had blocked the suspect's account but failed to inform authorities.

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Perplexity open-sourced two new text embedding models that matched or exceeded Google's and Alibaba's offerings while operating at a fraction of the usual memory cost.

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Researchers at Apple, Stanford, and the University of Washington found that common HTML extractors pulled substantially different content from the same web pages, causing large portions of the internet to be omitted from language model training data.

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The Decoder reported that frontier LLMs, including models such as GPT‑5.2 and Claude 4.6, lost up to 33% accuracy over the course of long conversations.

References

1.

https://the-decoder.com/openai-signs-pentagon-deal-for-classified-ai-networks-hours-after-anthropic-gets-banned-from-federal-agencies/

OpenAI signs Pentagon deal for classified AI networks hours after Anthropic gets banned from federal agencies

OpenAI struck a deal with the Pentagon just hours after Anthropic was barred from government contracts. OpenAI claims to operate under the same safety principles as Anthropic, but the language both companies have used so far suggests differences.

the-decoder.com

1.

https://the-decoder.com/openai-promises-canada-tighter-safety-protocols-after-chatgpt-flagged-a-shooters-violent-chats-but-never-called-police/

OpenAI promises Canada tighter safety protocols after ChatGPT flagged a shooter's violent chats but never called police

OpenAI is tightening its rules for cooperating with authorities following a fatal school shooting in Canada. The company had blocked the suspect's account but did not inform the police.

the-decoder.com

1.

https://the-decoder.com/perplexity-open-sources-embedding-models-that-match-google-and-alibaba-at-a-fraction-of-the-memory-cost/

Perplexity open-sources embedding models that match Google and Alibaba at a fraction of the memory cost

AI search engine Perplexity is introducing two new text embedding models designed to match or beat Google's and Alibaba's offerings at a fraction of the usual memory cost. Both models are open source.

the-decoder.com

1.

https://the-decoder.com/current-language-model-training-leaves-large-parts-of-the-internet-on-the-table/

Current language model training leaves large parts of the internet on the table

Large language models learn from web data, but which pages actually make it into training sets depends heavily on a seemingly mundane choice: the HTML extractor. Researchers at Apple, Stanford, and the University of Washington found that three common extraction tools pull surprisingly different content from the same web pages.

the-decoder.com

1.

https://the-decoder.com/even-frontier-llms-from-gpt-5-onward-lose-up-to-33-accuracy-when-you-chat-too-long/

Even frontier LLMs from GPT-5 onward lose up to 33% accuracy when you chat too long

Even with newer models like GPT-5.2 and Claude 4.6, AI chatbots still give worse answers the longer a conversation goes on.

the-decoder.com

more pain more gain 🚀

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