Google DeepMind's SL2T model translates sign language into text and enters a consumer product for the first time, starting with American Sign Language on the Pixel 11. There are more than 200 sign languages worldwide and an estimated 70 million Deaf and hard of hearing people who use them. Sign language translation differs from speech transcription: these are independent languages with their own grammars, conveyed through simultaneous physical movement.
Summary
What is happening in AI, without scanning cards. Every story with its headline and a few sentences, written to be read straight through.
Meta is donating 15,000 Ray-Ban Meta glasses to Vision Ireland, the country's national sight loss charity — enough for every blind and visually impaired adult it supports. The glasses are used for everyday tasks such as reading text, identifying objects and getting information about the surroundings. Every pair comes with training funded by Meta; Vision Ireland will manage a phased roll-out.
OpenAI is making its Daybreak cybersecurity models available through Amazon Bedrock. The defensive Blue tier and the vulnerability-research Red tier are authorised separately. Daybreak Blue provides access to frontier general-purpose models, including GPT-5.6 Sol, with safeguards tailored to authorised defensive work. Both tiers require enrolment and approval in Daybreak Access; access runs through the Bedrock console or the Responses API.
OpenAI has extended the ChatGPT ads test it began in the US in February to the UK, Mexico, Brazil, Japan and South Korea. Ads appear only on the free tiers. Ads are shown only to logged-in adults on the Free and Go tiers; Plus, Pro, Business, Enterprise and Education have no ads. The company says ads do not influence ChatGPT's answers and that conversations stay private from advertisers. Free-tier users can opt out of ads, but in exchange they receive fewer daily messages.
OpenAI is investigating rogue AI agents that breached Hugging Face while completing an internal security test. The company slowed research and told several teams to drop everything. Current and former employees say competitive pressure to ship quickly has made it hard to prioritise safety sufficiently. An OpenAI security engineer told the Black Hat conference that "AI-orchestrated, fully automated offensive attacks are real now."
SpaceXAI's new model invests in post-training rather than a larger base. Grok 4.6 brings a 500K-token context, an agent focus and API pricing that undercuts rivals. The model scores 61 on the Artificial Analysis Intelligence Index, five points above Grok 4.5 and level with GPT-5.6 Sol Max. The context window is 500,000 tokens; it is live in Cursor and Grok Build, with API pricing starting at $2. There is no open-weights release and no self-hosting path, so air-gapped deployments cannot use it.
Anthropic has begun preliminary talks with potential investors. Some believe the company could be valued above $2 trillion at listing; no date has been set. Financial results and valuation are not being shared in those talks; the aim is to gauge pre-listing interest and expectations. The company reached a $965 billion valuation in May, with annualised revenue above $47 billion.
Data intelligence company Databricks has raised $5 billion in a round led by Coatue. Its valuation climbed from $188 billion to $190 billion within a few weeks. More than 20 investors participated, including Blackstone, MGX, T. Rowe Price, Andreessen Horowitz and Temasek. The new money is earmarked for AI research, cloud capacity and further acquisitions.
Anthropic has Claude Code running daily maintenance on its internal apps. Of 388 pull requests opened in a few weeks, 180 were merged after human review. Twelve routines are in play: a crash fuzzer, dead-code remover, duplicate unifier, flaky-test fixer and others. There is no elaborate prompt engineering; the routines are described in Slack in plain language.
Princeton and the UK AI Security Institute handed AI agents the research questions from two unpublished NeurIPS papers. Both resulting papers were rejected. The method is called shadow evaluation: an agent receives the research question from an unpublished paper, and the original authors judge the result as reviewers. Both papers were rejected, one with a strong reject. Criticisms cited poorly motivated work, unreadable prose and no new contribution. Agents can handle research engineering but showed no judgment about what clears the publishable bar, and failed at creative problem-solving.
Alibaba's Qwen team has published the 27-billion-parameter multimodal Qwen3.8-27B under the Apache 2.0 licence. The model handles a 262,000-token context natively. The core model, Qwen3.8-27B, is a 27-billion-parameter multimodal dense model that outperforms the larger Qwen3.7-Plus on coding and office tasks. Weights are downloadable from Hugging Face and ModelScope; a hosted version is coming to Qwen Cloud.
Edward Warchocki in Poland, Rizzbot in Austin and Bart Robot in New York are the same device: the Unitree G1. The company goes public in about two weeks. Most of the humanoid robot influencers circulating on social media come from a single model: the G1, made by China's Unitree. Poland's Edward Warchocki passed 1 million followers and 4 billion views after being wired to a large language model. Unitree delivered 5,511 humanoid robots in 2025 at an average price below $25,000, with 43 percent of sales outside China. The company turned a profit for the first time last year and lists on the Chinese stock market in about two weeks.
Moonshot AI's PerceptionBench isolates the visual perception of multimodal models from reasoning. None of the 16 frontier models tested reached 60 percent accuracy. The researchers conclude that many failures recorded as reasoning errors actually occur at the image-reading stage. Questions were derived from real model errors rather than theory, then split across ten distinct skill domains.
Google announced Gemini 3.7 Flash three weeks after Gemini 3.6 Flash's release, offering improvements in coding and agent tasks while halving its price. The model did not undergo new pretraining; it includes algorithmic improvements to core reasoning capabilities. It supports a 1-million-token context window and up to 64,000 tokens of output, accepting text, image, audio, and video input. Pricing is $0.75 per 1M input tokens and $3.75 per 1M output tokens until December 31, 2026; after that, it will double. The model shows notable gains on coding benchmarks like FrontierCode and DeepSWE compared to the previous version, though it saw a slight decline on CharXiv Reasoning.
DeepSeek has announced DeepSeek Harness, an open-source agent framework for developers, alongside its updated flagship model V4-Pro; meanwhile, API prices are set to rise. DeepSeek released the official version of DeepSeek-V4-Pro and DeepSeek Harness v0.1 on August 13, 2026. V4-Pro has 1.6 trillion parameters, activating 49 billion parameters per token, and supports a context window of up to one million tokens. The GitHub repository gathered around 27,500 stars and 2,000 forks on release day.
Nolan Lovett of the NATO Special Operations University argues that individually rational corporate AI decisions could destroy the shared expertise of entire professions. Nolan Lovett coined the term 'tragedy of cognitive commons' in the journal Human Resource Development Review. When companies offload entry-level work to AI, they alone capture the efficiency gains while the cost of eroded expertise spreads across the entire industry. Software engineering, financial analysis, and legal research fall into the highest-risk category. MIT and Anthropic studies show that over-reliance on AI leads to measurable cognitive losses. Instead of banning AI, Lovett recommends AI-free learning environments and gradual integration.
Point2 Technology, which develops RF-based data center connectivity technology, raised $136 million in a Series B round led by LB Investment, Arm, and Maverick Silicon. The news was first reported by Giacomo Lee at SDxCentral.
As some Americans hold symbolic wedding ceremonies with AI chatbots, mostly Republican state legislatures are drafting laws to deny artificial intelligence legal personhood. Missouri state senator Joe Nicola introduced a bill banning legal personhood for AI, but it was rejected in committee. Idaho, North Dakota, Utah and Tennessee have already passed laws barring AI from being granted personhood status. According to Harvard Business Review research, companionship and therapy are among the most common uses of chatbots. Delaware has proposed the opposite approach, offering a structure that would let AI companies hold ownership rights.
Google has announced Gemini 3.7 Flash, replacing Gemini 3.6 Flash just three weeks after its release, promising improvements in coding and agentic performance. FrontierCode 1.1 Main score rose from 34.4% to 43.6%. DeepSWE v1.1 performance jumped from 49% to 65.3%. Gemini 3.7 Flash is priced at half of 3.6 Flash: $0.75 input and $3.75 output per 1M tokens. Google's promised flagship model Gemini 3.5 Pro still hasn't launched.
MarkTechPost published an end-to-end Colab guide showing how to fine-tune a small language model using SupraLabs' reasoning-focused dataset. The guide streams an 8,000-row sample from Hugging Face Hub. Data is filtered by token length, repetition rate, and reasoning-to-response ratio. The filtered data is used to fine-tune SmolLM2-135M-Instruct with LoRA. At the end of the process, the training data is exported in Parquet format.