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Meta Platforms, Inc. (NASDAQ:META) is one of the best blue-chip AI stocks to buy now. On March 31, Meta Platforms, Inc. (NASDAQ:META) introduced two new Ray-Ban prescription smart glasses, expanding its lineup of AI-powered wearables. Priced from $499 and available for pre-order in the U.S., the Ray-Ban Meta Blayzer Optics and Meta Scriber Optics will […]


Broadcom (NasdaqGS:AVGO) has named Amie Thuener as its next Chief Financial Officer. Thuener previously held senior finance roles at Alphabet. She will succeed long-time CFO Kirsten Spears, marking a material leadership change in Broadcom’s finance organization. Broadcom operates across semiconductor solutions and enterprise software, with a focus on areas such as networking, accelerators and AI infrastructure. The company has also expanded in infrastructure and application software,...

Recent graduates going into tech face a double bind: fewer entry-level openings and employers demanding experience that’s nearly impossible to get.

OpenAI has acquired tech talk show TBPN. The show will supposedly remain editorially independent but report to OpenAI's communications department. That's as contradictory as it sounds. So what's OpenAI really after? The article OpenAI decides the best way to fight critical AI coverage is to own a newsroom appeared first on The Decoder.

Google in November announced Project Suncatcher, with plans to launch prototype satellites to test AI hardware in 2027.

Article URL: https://efficienist.com/netflix-just-release-its-first-public-ai-model-because-why-not/ Comments URL: https://news.ycombinator.com/item?id=47625451 Points: 2 # Comments: 0

Article URL: https://fortune.com/2026/04/02/mercor-ai-startup-security-incident-10-billion/ Comments URL: https://news.ycombinator.com/item?id=47624961 Points: 5 # Comments: 1
Hugging Face netflix/void-model: https://huggingface.co/netflix/void-model Project page - GitHub: https://github.com/Netflix/void-model Demo: https://huggingface.co/spaces/sam-motamed/VOID submitted by /u/Nunki08 [link] [comments]
I mean, I have 40GB of Vram and I still cannot fit the entire Unsloth Gemma-4-31B-it-UD-Q8 (35GB) even at 2K context size unless I quantize KV to Q4 with 2K context size? WTF? For comparison, I can fit the entire UD-Q8 Qwen3.5-27B at full context without KV quantization! If I have to run a Q4 Gemma-4-31B-it-UD with a Q8 KV cache, then I am better off just using Qwen3.5-27B. After all, the latter beats the former in basically all benchmarks. What's your experience with the Gemma-4 models so far? submitted by /u/Iory1998 [link] [comments]

Moonbounce has raised $12 million to grow its AI control engine that converts content moderation policies into consistent, predictable AI behavior.

OpenAI is acquiring TBPN, a business talk show that’s popular among Silicon Valley elites, as it continues to battle its negative public image.

TBPN, Silicon Valley's cult-favorite tech podcast, will operate independently, even as it's overseen by chief political operative Chris Lehane.

Microsoft on Wednesday launched three new foundational AI models it built entirely in-house — a state-of-the-art speech transcription system, a voice generation engine, and an upgraded image creator — marking the most concrete evidence yet that the $3 trillion software giant intends to compete directly with OpenAI, Google, and other frontier labs on model development, not just distribution. The trio of models — MAI-Transcribe-1, MAI-Voice-1, and MAI-Image-2 — are available immediately through Microsoft Foundry and a new MAI Playground. They span three of the most commercially valuable modalities in enterprise AI: converting speech to text, generating realistic human voice, and creating images. Together, they represent the opening salvo from Microsoft's superintelligence team, which Suleyman formed just six months ago to pursue what he calls "AI self-sufficiency." "I'm very excited that we've now got the first models out, which are the very best in the world for transcription," Suleyman
![[AINews] Gemma 4: The best small Multimodal Open Models, dramatically better than Gemma 3 in every way](https://zmstgxtziqmvvwzllahg.supabase.co/storage/v1/object/public/article-images/latent-space/fa720f60-8788-4875-b929-bbce28b94862.jpg)
A welcome update from Google!

OpenAI acquires TBPN to accelerate global conversations around AI and support independent media, expanding dialogue with builders, businesses, and the broader tech community.

MAI released models that can transcribe voice into text as well as generate audio and images after the group's formation six months ago.

Gemma 4 brings the first major update to Google's open models in a year.
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While the market continues to range, with US/Israel/Iran tensions keeping retail money away, we will look at what AI crypto predicts will be the best play for April 2026. To do so, we have consulted Google’s Gemini, X’s Grok, and the OpenAI-backed ChatGPT. The market is currently locked in a ...

Version 3 of the AI coding tool Cursor introduces a completely redesigned interface built to move developers from manual code editing to running multiple AI agents in parallel. The article New Cursor 3 ditches the classic IDE layout for an "agent-first" interface built around parallel AI fleets appeared first on The Decoder.
I have been self hosting LLMs since before llama 3 was a thing and Gemma 4 is the first model that actually has a 100% success rate in my tool calling tests. My main use for LLMs is a custom built voice assistant powered by N8N with custom tools like websearch, custom MQTT tools etc in the backend. The big thing is my household is multi lingual we use English, German and Japanese. Based on the wake word used the context, prompt and tool descriptions change to said language. My set up has 68 GB of VRAM (double 3090 + 20GB 3080) and I mainly use moe models to minimize latency, I previously have been using everything from the 30B MOEs, Qwen Next, GPTOSS to GLM AIR and so far the only model which had a 100% success rate across all three languages in tool calling is Gemma4 26BA4B. submitted by /u/MaruluVR [link] [comments]
submitted by /u/Fcking_Chuck [link] [comments]

The baton of open source AI models has been passed on between several companies over the years since ChatGPT debuted in late 2022, from Meta with its Llama family to Chinese labs like Qwen and z.ai. But lately, Chinese companies have started pivoting back towards proprietary models even as some U.S. labs like Cursor and Nvidia release their own variants of the Chinese models, leaving a question mark about who will originate this branch of technology going forward. One answer: Arcee, a San Francisco based lab, which this week released AI Trinity-Large-Thinking—a 399-billion parameter text-only reasoning model released under the uncompromisingly open Apache 2.0 license, allowing for full customizability and commercial usage by anyone from indie developers to large enterprises. The release represents more than just a new set of weights on AI code sharing community Hugging Face; it is a strategic bet that "American Open Weights" can provide a sovereign alternative to the increasingly clo

For the past two years, enterprises evaluating open-weight models have faced an awkward trade-off. Google's Gemma line consistently delivered strong performance, but its custom license — with usage restrictions and terms Google could update at will — pushed many teams toward Mistral or Alibaba's Qwen instead. Legal review added friction. Compliance teams flagged edge cases. And capable as Gemma 3 was, "open" with asterisks isn't the same as open. Gemma 4 eliminates that friction entirely. Google DeepMind's newest open model family ships under a standard Apache 2.0 license — the same permissive terms used by Qwen, Mistral, Arcee, and most of the open-weight ecosystem. No custom clauses, no "Harmful Use" carve-outs that required legal interpretation, no restrictions on redistribution or commercial deployment. For enterprise teams that had been waiting for Google to play on the same licensing terms as the rest of the field, the wait is over. The timing is notable. As some Chinese AI lab

As Cursor launches the next generation of its product, the AI coding startup has to compete with OpenAI and Anthropic more directly than ever.

Article URL: https://arxiv.org/abs/2604.01202 Comments URL: https://news.ycombinator.com/item?id=47622971 Points: 1 # Comments: 0

arXiv:2604.01322v1 Announce Type: new Abstract: Trampoline gymnastics involves extreme human poses and uncommon viewpoints, on which state-of-the art pose estimation models tend to under-perform. We demonstrate that this problem can be addressed by fine-tuning a pose estimation model on a dataset of synthetic trampoline poses (STP). STP is generated from motion capture recordings of trampoline routines. We develop a pipeline to fit noisy motion capture data to a parametric human model, then generate multiview realistic images. We use this data to fine-tune a ViTPose model, and test it on real multi-view trampoline images. The resulting model exhibits accuracy improvements in 2D which translates to improved 3D triangulation. In 2D, we obtain state-of-the-art results on such challenging data, bridging the performance gap between common and extreme poses. In 3D, we reduce the MPJPE by 12.5 mm with our best model, which represents an improvement of 19.6% compared to the pretrained ViTPose

Anthropic has announced a new feature for its AI assistant Claude: the ability to directly operate a user's computer, handling tasks people would normally do themselves at their desk. The article Claude Code and Cowork now let Anthropic's AI take control of your Mac or Windows desktop appeared first on The Decoder.

WMF 2026 – We Make Future, the largest event on digital innovation, artificial intelligence and technology, will take place from June 24 to 26 at BolognaFiere in Bologna, Italy. Among the key highlights is the AI Global Summit, the international benchmark event where companies, institutions and the research community participate to discuss the scenarios, applications and governance of artificial intelligence.