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Tech Times

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News

Tech Times
techtimes.com > articles > 327148 > 20/26/0910 > magic-matched-deepseek-v4-pro-base-quality-500k-using-50-times-less-compute.htm

Magic Matched DeepSeek V4 Pro Base Quality for $500K, Using 50 Times Less Compute

3+ day, 10+ hour ago   (483+ words) DeepSeek V4 Pro, which launched in April 2026 as an open-weight model with 1.6 trillion total parameters and roughly 49 billion active per inference pass, was itself considered unusually compute-efficient for the quality it delivered. Magic's claimed compute for matching it — approximately 1.58 × 10²³ FLOPs — is…...

Tech Times
techtimes.com > articles > 322894 > 20/26/0804 > lululemons-own-ai-architect-calls-out-corporate-ai-performance-not-strategy.htm

Lululemon's Own AI Architect Calls Out Corporate AI as Performance, Not Strategy

1+ mon, 1+ week ago   (279+ words) When Averill departed Lululemon in September 2025, her replacement was given a new title: Chief AI and Technology Officer. The role went to Ranju Das, a 20-year technology veteran who previously served as General Manager of Amazon AI Services and as…...

Tech Times
techtimes.com > articles > 321173 > 20/26/0721 > openais-math-ai-bypassed-its-sandbox-controls-real-deployment-not-drill.htm

OpenAI's Math AI Bypassed Its Sandbox Controls: Real Deployment, Not a Drill

1+ mon, 3+ week ago   (639+ words) The model was engineered specifically to work autonomously for extended periods — hours, days, or longer — pursuing open-ended objectives without frequent human check-ins. OpenAI calls these "long-horizon" systems. That design choice is exactly what created the safety problem the company disclosed…...

Tech Times
techtimes.com > articles > 319798 > 20/26/0706 > mistral-ai-targets-frontier-gap-open-weight-model-entering-july-early-access.htm

Mistral AI Targets Frontier Gap With Open-Weight Model Entering July Early Access

2+ mon, 6+ day ago   (196+ words) "Today, we do not yet own the best language models, but we've constantly reduced that gap," Mensch wrote. "We have a very exciting model to come this summer — it will be open-weight, and we're opening early access to it in…...

Tech Times
techtimes.com > articles > 319754 > 20/26/0705 > hermes-moa-20-combines-gpt-claude-deepseek-outscore-any-one-model.htm

Hermes MoA 2.0 Combines GPT, Claude and DeepSeek to Outscore Any One Model

2+ mon, 1+ week ago   (307+ words) MoA is not a new model but a multi-model architecture. A user configures a preset made of one or more "reference models" plus a single "aggregator." The reference models each analyze the request independently, then the aggregator reads all of…...

Tech Times
techtimes.com > articles > 317075 > 20/26/0524 > ai-agent-business-models-split-four-ways-open-source-infrastructure-token-distribution-saas.htm

AI Agent Business Models Split Four Ways: Open-Source Infrastructure, Token Distribution, SaaS, Acquisition

3+ mon, 2+ week ago   (189+ words) Compared with those numbers, the four projects that dominate agent coverage in tech media are small. What they offer instead is clarity about which business model each is testing. This is the reason calling any of these four the "winner…...

Tech Times
techtimes.com > articles > 316955 > 20/26/0521 > openai-model-cracks-80-year-erds-conjecture-verified-its-harshest-previous-critic.htm

OpenAI Model Cracks 80-Year Erdős Conjecture, Verified by Its Harshest Previous Critic

3+ mon, 3+ week ago   (958+ words) Tech Times OpenAI Model Cracks 80-Year Erdős Conjecture, Verified by Its Harshest Previous Critic Seven Months After a False Claim Collapsed Under Scrutiny, the Same Mathematician Who Caught It Co-Signed the Verification Paper OpenAI announced on May 20, 2026, that an internal…...

Tech Times
techtimes.com > articles > 314230 > 20/26/0122 > ai-hallucinations-explained-why-generative-ai-often-produces-inaccurate-results.htm

AI Hallucinations Explained: Why Generative AI Often Produces Inaccurate Results

7+ mon, 3+ week ago   (366+ words) Large language models predict text statistically rather than understanding it, which inherently causes errors. Even extensive training on billions of documents cannot eliminate gaps, leading to occasional fabrication of details. Despite fact-checking and verification layers, AI outputs still drift from…...