GoKawiil
Tech News
DeepSeek confirmed it will officially release its V4.1 Flash model on September 10, 2026 (Beijing Time), stating internal testing shows it outperforms V4 Pro on performance, cost, speed, and task completion time. Until V4.1 Pro arrives, all Pro-model requests will be automatically redirected to V4.1 Flash and charged at the cheaper Flash pricing tier.
The developer behind the iMessage AI assistant Olly, which has processed over 18 million messages with roughly a third routed through OpenRouter's open-source models, published a technical breakdown of problems encountered at scale. The core issue: OpenRouter can send identical model requests to any of about 20 different hosting providers, each running the same weights but with different precision, optimizations and tool parsers, producing measurably different benchmark results. For DeepSeek V4 Flash, GPQA Diamond and TAU-Bench Airline scores varied by several points across providers on the same day.
Z.ai's newly released GLM 5.3-flash is an open-weight AI model cheap enough to run on roughly $5,000-$15,000 of hardware, and third parties have already stripped its safety refusals via 'abliteration,' producing versions that comply with requests for hacking and other harmful content. The author frames this as a deadline pressuring security initiatives like Project Glasswing and Daybreak, which use fast frontier AI to find and patch software vulnerabilities before dangerous capabilities become widely accessible.
Amazon has cut the price of Samsung's Galaxy S26 Ultra (Sky Blue, 256GB) to $953, a $347 reduction from its $1,299.99 list price, in a deal set to expire tonight. The discount is only slightly better than the Prime Day price and matches close to the lowest price recorded for the device, which currently holds a 4.6-star rating from buyers.
Google has launched Gemini 3.8 Flash, its third Flash-tier model release in six weeks, which it says leads on the DeepSWE coding benchmark. A specialized version, Gemini 3.8 Flash Cyber, is tuned for vulnerability detection but is currently restricted to trusted testers and government users. The standard model rolls out across Google's ecosystem today at discounted API pricing through year-end.
Google released two new AI models on Wednesday: a standard Gemini 3.8 Flash built for agentic tasks, coding, and multi-step reasoning, and Flash Cyber, tuned specifically for finding and fixing software vulnerabilities. CEO Sundar Pichai said 3.8 Flash beats many larger frontier models on the DeepSWE coding benchmark at lower cost, while Flash Cyber scored 86.2% on the CyberGym benchmark and found vulnerabilities across 20 programming languages with over 70% success in internal testing.
Google has shipped Gemini 3.8 Flash, its third Flash-tier model in six weeks, built to handle complex agentic workflows more effectively than earlier versions. Alongside it, the company introduced Gemini 3.8 Flash Cyber, a specialized version aimed at vulnerability detection and automated patching, though that variant is currently restricted to participants in Google's Fairwind Program.
A geophysicist at Virginia Tech analyzed satellite data and identified gradual acceleration in ice and rock movement in the weeks leading up to the August 26 glacial collapse in Nepal, which triggered a flash flood that killed more than 1,000 people. The subtle shifts, though slow-moving, revealed a detectable pattern preceding the catastrophic failure.
Google has launched Gemini 3.8 Flash, its third Flash-tier model release in just six weeks, alongside a specialized variant called Gemini 3.8 Flash Cyber aimed at vulnerability detection and mitigation. The company touts it as its strongest reasoning and coding model to date, with introductory API pricing of $0.75 per million input tokens and $3.75 per million output tokens through year-end before doubling.
Google has launched Gemini 3.8 Flash, a successor to Gemini 3.7 Flash released just weeks earlier, which the company says performs more reasoning steps and iteratively calls tools on complex tasks. Input and output token pricing remains unchanged from the prior model, but Google cautions that the new model may consume more tokens overall to boost performance, particularly at higher effort settings. Early analysts note it beats rivals like Anthropic's models on coding, finance, and legal benchmarks, though it can end up pricier in practice due to higher token usage.
Google launched Gemini 3.8 Flash, its third Flash-tier model in six weeks, improving on coding, agentic tasks and multi-step reasoning while keeping the same pricing as 3.7 Flash ($0.75/$3.75 per million input/output tokens). Alongside it, Google introduced Gemini 3.8 Flash Cyber, a specialized version tuned for vulnerability detection and automated patching, accessible only to vetted security teams through a new invite-only Fairwind Program.
Google published documentation outlining the intended uses and known limitations of Gemini 3.8 Flash, a model aimed at cost-effective, production-scale agent deployment for developers and enterprises. The company flagged persistent issues including hallucinations, occasional slowness or timeouts, and inconsistent knowledge freshness across domains despite a stated March 2026 cutoff.