Your curated collection of saved posts and media
In a memo, Alexandr Wang wrote that "superintelligence is coming." In order to "take it seriously," the company is making major changes. MSL's research will be led by Shengjia Zhao. Yann LeCun will report to Wang. (great scoop from @CharlesRollet1) https://t.co/woKclcDcSF
Source: https://t.co/n5pSzPMYZc
Makes you think about how we approach these technologies. Source: https://t.co/kvljKHGe7P
our rights over our own images and voices?โ Source: https://t.co/kc9P8xxgrb
๐งฌ@Latent_Labs has a vision of โcomputational mastery of biology,โ using #AWS solutions & #generativeAI to make the science โprogrammable.โ Discover how: ๐ https://t.co/UfzqTWH3IC https://t.co/wqyc64HjiJ
The Fitbit App Is Turning Into an AI-Powered Personal Health Coach https://t.co/6zoIgU4w6X @wired
The Fitbit App Is Turning Into an AI-Powered Personal Health Coach https://t.co/6zoIgU4w6X @wired
Edit images in Google Photos by simply asking https://t.co/HvAN17Crwl @google https://t.co/9MXKbrBQBw

Edit images in Google Photos by simply asking https://t.co/HvAN17Crwl @google https://t.co/9MXKbrBQBw

I Saw the Future of AI Film and It Was Empty https://t.co/r0krwJvCz6 @johnsemley3000 @wired
I Saw the Future of AI Film and It Was Empty https://t.co/r0krwJvCz6 @johnsemley3000 @wired
What is โAI psychosisโ and how can ChatGPT affect your mental health? https://t.co/KyML4i383a @washingtonpost
What is โAI psychosisโ and how can ChatGPT affect your mental health? https://t.co/KyML4i383a @washingtonpost
How AI-enhanced hackers are stealing billions https://t.co/ZVaPsJTwuX @theeconomist
How AI-enhanced hackers are stealing billions https://t.co/ZVaPsJTwuX @theeconomist
Metaโs $29 Billion Deal Exemplifies the High Financial Stakes of AI https://t.co/2rXvZP4Tu7 @business
Insightful Pulse of Fintech โ UK perspective https://t.co/tSHmQZJUAH @kpmguk @kpmg https://t.co/IyOwS6th8Y

Chris Cuomo declares the Democrat Party is DEAD ๐ Cuomo tells me elitism, open borders, socialism and defund the police killed the modern Democrat Party. Cuomo says the Democratic Party that his father was apart of โno longer existsโ and he โdoesnโt know whyโ his brother still registers as a Democrat. โMy brotherโs a Democrat. I donโt know why, but he is. My father was a Democrat. But his party doesnโt exist anymore.โ โNow it's the left arguing for a cultural elite. This is how you will talk about people, Benny. This is how you will raise your kids. This is what you will tell them is okay. This is what you will say and not say.โ โThere are socialistic aspects to our constitutional republic within a capitalistic model that work. They work for the collective. But it's a capitalistic society. No Democrat ever argued for anything else. No Democrat would have argued for open borders. None of this. My father would have done none of this.โ โAnd while I had disagreements with my father about different issues, I knew what principles were guiding him.โ Wow. Well said @ChrisCuomo
AI stocks are cracking. Nvidia is sliding. Palantir just dropped 10% in a day. https://t.co/9drkpPNjGl, Salesforce, Adobe and others are falling fast. For 18 months, AI carried the Nasdaq and S&P. Now itโs dragging them down. So whatโs really happening? 1.The Trigger โขProfit-taking: August is historically weak. โขNarrative shift: โAGI is comingโ โ โGPT-5 floppedโ โ โAI is a bubble.โ โขMIT study: 95% of enterprise GenAI pilots delivered zero ROI. Only 5% created measurable business impact. That stat alone spooked markets. 2.Sam Altmanโs Warning Even OpenAIโs CEO admits: โAI is in a bubble.โ Why now? โขTo cool down competitors raising at inflated valuations. โขTo prepare Microsoft and regulators for turbulence. โขTo reset expectations before hype collapses. This is strategy, not altruism. 3.Short Term Reality โขExpect more volatility and repricing. โขShort sellers will target inflated names. โข90% of AI startups wonโt survive. โขPublic stocks with weak fundamentals will get punished. The shakeout has begun. 4.Long Term Reality This is not the dot-com bust replayed. โขAI is foundational, not optional. โขEvery major sector such as healthcare, finance, defense, energy is embedding AI into core operations. โขLike the internet in the 1990s, there is a โproductivity paradoxโ: investment first, payoff later. โข95% may fail, but the 5% that survive will become the Amazons of AI. 5.The Takeaway Yes, air is coming out. Yes, valuations will be tested. But AI itself is not a bubble. The bubble is in the copycats, hype decks, and inflated multiples. The technology is inevitable. The long-term trajectory is unstoppable. POV: Short term = pain, volatility, shakeout. Long term = trillions in value creation and a handful of new global giants. The future belongs to AI.
No doubt, @WorkOS is crushing it on all things communityโฆ MCP Night, now this! https://t.co/TsTZboDJdT
New blog post by @AmanGokrani: Everyone says Claude Code "just works" like magic. He proxied its API calls to see what's happening. The secret? It's riddled with <system-reminder> tags that never let it forget what it's doing. (1/6) [๐ link in final post with system prompt] https://t.co/Ne3X4DivzS
RAG is not Memory for AI Agents. 5 AI memory engines to build agents that maintain long-term context and learn continuously: (Last 2 released just this month) 1. Zep builds and queries temporally-aware knowledge graphs that evolve with every interaction. 100% Opensource. https://t.co/8DaY35Xjiq
One of the quickest ways to start playing with a good local LLM on macOS (if you have ~12GB of free disk space and RAM) - using llama-server and gpt-oss-20b: brew install llama.cpp llama-server -hf ggml-org/gpt-oss-20b-GGUF \ --ctx-size 0 --jinja -ub 2048 -b 2048 -ngl 99 -fa https://t.co/xsvruU8hDD
The ultimate guide for using gpt-oss with llama.cpp - Runs on any device - Supports NVIDIA, Apple, AMD and others - Support for efficient CPU offloading - The most lightweight inference stack today https://t.co/a6E3DssXmw
Back in 2017 my book had an entire chapter on generative AI, including language modeling and image generation. I wrote that content in 2016 and early 2017. This was some of the earliest textbook content that covered generative AI. All the way back in 2014 I was convinced that AI would one day become a major source of cultural content creation -- which was a completely outlandish position at the time.
One of the best illustrations of Mooreโs Law: on the left is the Apollo Guidance Computer, which took humans to the moon. To the right is an Anker USB-C charger that can charge 2 phones. The charger has 48x the clock speed & 1.8x more memory than the AGC! https://t.co/Ml5mYSCi5n https://t.co/4nN9UnNtN6

@lucataco93 @bella_rwa . @KitDelIntent remove makeup from this person https://t.co/q1WQDg3XPU
If youโre in AI pivot to snake pets @CoinfestAsia https://t.co/jAXV7cw5MM
@marouen19 @lucataco93 @bella_rwa Makeup removed. Hereโs a hyper-realistic version with only natural skin and features. All age and facial detail kept unchanged; no stylization, just facts. (Let me know if a stricter before/after split is neededโthis was a straight facial clean-up.) https://t.co/t6zJN6ocEk
This is how you enter the shadow realm https://t.co/pbPFL3cJtd
@kalomaze Also remember the one time Andrej roasted the W&B social media team cuz they originally didn't let me in lol https://t.co/NVVbbCkTRM
DuPO: Enabling Reliable LLM Self-Verification via Dual Preference Optimization "We present DuPO, a dual learning-based preference optimization framework that generates annotation-free feedback via a generalized duality" "DuPO decomposes a primal taskโs input into known and unknown components, then constructs its dual task to reconstruct the unknown part using the primal output and known information (e.g., reversing math solutions to recover hidden variables"
Your Reward Function for RL is Your Best PRM for Search: Unifying RL and Search-Based TTS "we leverage adversarial inverse reinforcement learning (AIRL) combined with group relative policy optimization (GRPO) to learn a dense, dynamic PRM directly from correct reasoning traces, entirely eliminating the need for labeled intermediate process data. At inference, the resulting PRM simultaneously serves as the critic for RL rollouts and as a heuristic to effectively guide search procedure"