Google announces Gemma 4 open AI models, switches to Apache 2.0 license
I do not really like to take X posts as a source, but it's Jeff Dean, maybe there will be more surprises other than what we just got. Thanks, Google! Edit: Seems like Jeff deleted the mention of 124B. Maybe it's because it exceeded Gemini 3 Flash-Lite on benchmark?
Gemma 4 and Qwen3.5 on shared benchmarks
[R] Is autoresearch really better than classic hyperparameter tuning?
[](https://preview.redd.it/is-autoresearch-really-better-than-classic-hyperparameter-v0-zgty2uy3ausg1.png?width=1118&format=png&auto=webp&s=aa1ca48a2422a0f2f69ed00a6cdfeefa87f4037d) We did experiments comparing Optuna & autoresearch. Autoresearch converges faster, is more cost-eff
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.
Gemma 4 has been released
[https://huggingface.co/unsloth/gemma-4-26B-A4B-it-GGUF](https://huggingface.co/unsloth/gemma-4-26B-A4B-it-GGUF) [https://huggingface.co/unsloth/gemma-4-31B-it-GGUF](https://huggingface.co/unsloth/gemma-4-31B-it-GGUF) [https://huggingface.co/unsloth/gemma-4-E4B-it-GGUF](https://huggingface.co/unsl
Anthropic Says That Claude Contains Its Own Kind of Emotions
and what does this even mean? "internal representations of emotion concepts driving claude behaviour" I get it that they don’t feel emotions and they simulate patterns of emotion, but the scary part is humans respond to the simulation the same way "panic"
Alibaba launches Qwen3.6-Plus, its third proprietary AI model in days
Blog post: [https://qwen.ai/blog?id=qwen3.6](https://qwen.ai/blog?id=qwen3.6) From Chujie Zheng on 𝕏: [https://x.com/ChujieZheng/status/2039560126047359394](https://x.com/ChujieZheng/status/2039560126047359394)
OpenAI acquires TBPN, the buzzy founder-led business talk show
OpenAI acquires TBPN to accelerate global conversations around AI and support independent media, expanding dialogue with builders, businesses, and the broader tech community.
Why OpenAI’s Fidji Simo Bought the TBPN Podcast Amid Crusade Against ‘Side Quests’
OpenAI has purchased TBPN, an online talk show that often interviews AI executives and other tech leaders. The show goes live every weekday at 2PM PT, often for a three-hour duration, counting OpenAI CEO Sam Altman, as well as executives from Meta, Microsoft, Palantir, and Andreessen Horowitz, among
One of the best sensible reasons that I can think of to have an llm downloaded on my cell phone would be emergency advice.
It seems like every conversation about derestricted models everyone treat you like a pervert. The fact is you can be sensible and be a pervert 😂.
171 emotion vectors found inside Claude. Not metaphors. Actual neuron activation patterns steering behavior.
https://preview.redd.it/kkvvcqr8susg1.jpg?width=1200&format=pjpg&auto=webp&s=ae0315c528afef84c035354927c4b9c5d8ec0bb4 Anthropic's mechanistic interpretability team just published something that deserves way more attention than its getting. They identified 171 distinct emotion-like
Lemonade by AMD: a fast and open source local LLM server using GPU and NPU
'Backrooms' and the Rise of the Institutional Gothic
AI-2027 forecasters move their timelines ~1.5 years earlier, predict 2027 or 2028 most likely year for AGI
Link to twitter thread: https://x.com/eli\_lifland/status/2039773600555979251?s=20 Link to blog: https://blog.aifutures.org/p/q1-2026-timelines-update
Maybe a party-pooper but: A dozen 120B models later, and GPTOSS-120B is still king
- Never consumes entire context walking in place. - Never fails at tool calling. - Never runs slow regardless the back-end. - Never misses a piece of context in its entire window. - Never slows down no matter how long the prompt is. As much as I despise OpenAI, I believe they've done something exce
A $20/month user costs OpenAI $65 in compute. AI video is a money furnace
Ask HN: Should there be a temporary ban on new accounts?
My first impression after testing Gemma 4 against Qwen 3.5
​ I have been doing some early comparisons between Gemma 4 and Qwen 3.5, including a frontend generation task and a broader look at the benchmark picture. My overall impression is that Gemma 4 is good. It feels clearly improved and the frontend results were actually solid. The model can
Gemma 4 is efficient with thinking tokens, but it will also happily reason for 10+ minutes if you prompt it to do so.
Tested both 26b and 31b in AI Studio. The task I asked of it was to crack a cypher. The top closed source models can crack this cypher at max thinking parameters, and Kimi 2.5 Thinking and Deepseek 3.2 are the only open source models to crack the cypher without tool use. (Of course, with the closed
Gemma 4 has been abliterated
Got inspired to try and crack this egg without using heretic. FP16, Q8\_0 and Q4\_K\_M quants, plus the abliteration script for modification/use is here: [https://huggingface.co/paperscarecrow/Gemma-4-31B-it-abliterated-gguf](https://huggingface.co/paperscarecrow/Gemma-4-31B-it-abliterated-gguf)