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AI Crypto Predicts the Biggest Plays for April 2026
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 ...
At WMF a new edition of AI Global Summit, an international reference point on Artificial Intelligence
New Broadcom CFO From Alphabet May Shape Capital Allocation Outlook
General AI
Meta Platforms, Inc. (META) Strengthens AI Strategy With New Glasses and Services
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 […]
How AI and ‘experience creep’ are making it harder for new graduates to find jobs
Recent graduates going into tech face a double bind: fewer entry-level openings and employers demanding experience that’s nearly impossible to get.
Google's Newest AI Development Could Produce a Surprising Winner
Google's new algorithm could eliminate the biggest bottleneck in AI right now.
Netflix just dropped their first public model on Hugging Face: VOID: Video Object and Interaction Deletion
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]
My biggest Issue with the Gemma-4 Models is the Massive KV Cache!!
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]
The Facebook insider building content moderation for the AI era
Moonbounce has raised $12 million to grow its AI control engine that converts content moderation policies into consistent, predictable AI behavior.
OpenAI Acquires Tech Talk Show ‘TBPN’—and Buys Itself Some Positive News
OpenAI is acquiring TBPN, a business talk show that’s popular among Silicon Valley elites, as it continues to battle its negative public image.
OpenAI acquires TBPN, the buzzy founder-led business talk show
TBPN, Silicon Valley's cult-favorite tech podcast, will operate independently, even as it's overseen by chief political operative Chris Lehane.
![[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)
[AINews] Gemma 4: The best small Multimodal Open Models, dramatically better than Gemma 3 in every way
A welcome update from Google!
OpenAI decides the best way to fight critical AI coverage is to own a newsroom
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 CEO Sundar Pichai says we’re just a decade away from a new normal of extraterrestrial data centers
Google in November announced Project Suncatcher, with plans to launch prototype satellites to test AI hardware in 2027.
Netflix just released its first public AI model, because why not
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
Mercor, a $10B AI startup confirms major data breach
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
An AI website that tells you what to wear at 0 cost somehow
Article URL: https://what2wear-two.vercel.app Comments URL: https://news.ycombinator.com/item?id=47625808 Points: 2 # Comments: 1
Microsoft launches 3 new AI models in direct shot at OpenAI and Google
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
OpenAI acquires TBPN
OpenAI acquires TBPN to accelerate global conversations around AI and support independent media, expanding dialogue with builders, businesses, and the broader tech community.
Microsoft takes on AI rivals with three new foundational models
MAI released models that can transcribe voice into text as well as generate audio and images after the group's formation six months ago.
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Gemma 4: first LLM to 100% my multi lingual tool calling tests
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]
Daily AI News Roundup (Apr 3): OpenAI buys a talk show, Google drops Gemma 4 under Apache 2.0, Claude Code source leaked, Axios npm compromised
Big moves OpenAI acquired TBPN, the founder-led tech/business talk show. Unusual media play — covered by TechCrunch, Ars Technica, and WSJ. Google released Gemma 4 under Apache 2.0. The license shift from their previous terms may matter more than the benchmarks. Direct shot at Chinese open-weights models. Microsoft unveiled three homegrown AI models for speech and image generation — clearly reducing dependence on OpenAI. Security Claude Code source code leaked, triggering enterprise security concerns. VentureBeat published a 5-action checklist for security teams. Axios npm package was trojanized in a supply-chain attack. If your team uses it (most do), worth checking immediately. Granola notes are viewable by anyone with a link by default. PSA if you use it. Product & research Google added Veo, Lyria, and directable AI avatars to Google Vids. Arcee launched Trinity-Large-Thinking — open source, U.S.-made, downloadable enterprise model. AI chatbots are now being use
New Cursor 3 ditches the classic IDE layout for an "agent-first" interface built around parallel AI fleets
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.
Microsoft's newest open-source project: Runtime security for AI agents
submitted by /u/Fcking_Chuck [link] [comments]
Arcee's new, open source Trinity-Large-Thinking is the rare, powerful U.S.-made AI model that enterprises can download and customize
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
Google releases Gemma 4 under Apache 2.0 — and that license change may matter more than benchmarks
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
Cursor Launches a New AI Agent Experience to Take On Claude Code and Codex
As Cursor launches the next generation of its product, the AI coding startup has to compete with OpenAI and Anthropic more directly than ever.
When a reasoning LLM chooses, which comes first: thought or decision?
Article URL: https://arxiv.org/abs/2604.01202 Comments URL: https://news.ycombinator.com/item?id=47622971 Points: 1 # Comments: 0
Human Pose Estimation in Trampoline Gymnastics: Improving Performance Using a New Synthetic Dataset
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
Mercor, a $10 billion AI startup that works with companies including OpenAI and Anthropic, confirms major data breach
Mercor confirmed it was hit by a supply-chain attack targeting LiteLLM, a widely used AI developer tool. Extortion gang Lapsus$ claims to have walked away with four terabytes of data.