The wait is over. Seedance 2.0 is now available GLOBALLY on HeyGen for all users. Your Digital Twin no longer stands still. It moves through scenes, interacts with others, and carries presence. Multi-character scenes, dynamic camera shots, and realistic motion throughout. https://t.co/2Xbpc8ikb7

DMax Aggressive Parallel Decoding for dLLMs paper: https://t.co/y421NkegRD https://t.co/Y7Ut9Gxly8

🦔A global survey of 3,750 executives and employees found that 54% of workers bypassed their company's AI tools in the past 30 days and completed work manually, while another 33% haven't used AI at all. Combined, eight in ten enterprise workers are avoiding or rejecting technology their employers spent an average of $54 million deploying this year. Only 9% of workers trust AI for complex business-critical decisions compared to 61% of executives. Workers lose the equivalent of 51 working days per year to technology friction, up 42% from last year, almost exactly equal to the 40-60 minutes per day Goldman Sachs says AI saves workers who use it correctly. My Take I covered the cognitive surrender research last week showing workers under time pressure accept faulty AI outputs 73% of the time. This is the other half of that story. Workers avoiding AI entirely have figured out the tool doesn't work well enough for their tasks, or haven't been given the training or incentive to make it work. Neither group is irrational. One is surrendering judgment under pressure, the other is declining to engage, and both are responses to the same problem: companies deployed the technology before figuring out what they wanted employees to do with it. The trust split between executives and workers on AI for business-critical decisions, 9% versus 61%, explains why these rollouts keep failing. Executives are buying the pitch. Workers are living with the product. Companies spending $54 million on deployments that eight in ten employees aren't using have a measurement problem as much as an adoption problem. Hedgie🤗

🤯NEW https://t.co/PMUr3gqIgr MOBILE COOKS! The BEST command center for your Hermes Agent! One unified workspace. Zero tab/terminal chaos. Full power at your fingertips: 🤖 Chat + live tool execution 🧠 Memory browser ⭐️Skills catalog (100+) 🚀 Built-in Terminal 🌐File explorer + Inspector & MORE! Watch your self-improving agent learn and work live Manage every session in real time.👇🏻 https://t.co/yQy5kNHoha

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🤯NEW https://t.co/PMUr3gqIgr MOBILE COOKS! The BEST command center for your Hermes Agent! One unified workspace. Zero tab/terminal chaos. Full power at your fingertips: 🤖 Chat + live tool execution 🧠 Memory browser ⭐️Skills catalog (100+) 🚀 Built-in Terminal 🌐File explorer + Inspector & MORE! Watch your self-improving agent learn and work live Manage every session in real time.👇🏻 https://t.co/yQy5kNHoha

Your AI agent remembers everything. It understands nothing. Meta paid $2 billion for an AI memory startup. Their secret weapon? A todo list written in markdown. That sentence sounds absurd. It's directionally true. And it tells you everything about where agent memory actually is right now. Here's the real problem. "Memory" in AI means four completely different things: -Short-term context (what's in the window right now) - Persistent preferences (you like Python over JavaScript) - Session state (what the agent already tried) - Learned knowledge (genuine understanding that updates over time) Most products ship the first two. Some do the third a bit. Almost nobody does the fourth. But every marketing page reads like they do. Marvin Minsky saw this coming in 1986. His Society of Mind - a 50-year-old blueprint we keep rediscovering, made one thing clear: The hard part was never generating answers. It's building the administrative layer that decides which answers win. K-lines. His proto-memory model. The idea that remembering isn't retrieval of a static record - it's reinstatement of a working configuration. Not "what happened last time." But "how do I re-enter the productive state." That's the difference between storage and understanding. The midbrain solves this with emotion. Fear. Curiosity. Reward. Loss. Emotion is the salience filter. It decides what's worth consolidating from episodic → semantic → procedural memory. Current agents have no equivalent. Every token weighted the same. No filter. No signal. Just noise that compounds. This is why the best agent memory systems keep landing on embarrassingly simple solutions. Markdown files. Filesystem state. Explicit plan documents re-read before every step. this is not just because it's elegant. Because without a consolidation layer - nothing more sophisticated actually works. The real frontier isn't better retrieval. It's four unsolved problems: Consolidation — merging experiences into generalized knowledge, not just storing every interaction as a separate record Contradiction handling — when new information conflicts with old, update beliefs don't just append both versions Selective forgetting — an agent that stores everything drowns in its own history Transfer — knowledge from one context should inform behavior in another None of these are solved. Most are barely being worked on outside academia. Society is just memory at scale. Laws = procedural memory Culture = emotional memory History = episodic memory Science = semantic memory When AI agents develop the ability to consolidate - not just store - they won't just be better tools. They'll be participants in collective intelligence. Test our memory and learning system: https://t.co/nG7Nayirlx The question isn't whether agents can remember. It's whether we build the layer that decides what's worth understanding. From noise to signal.

We recorded a Web Dev Challenge with three teams building apps with Codex in 4 hours! 🎬 Loved the creative energy in the room and how much they were able to create in such a short time. Way more than would have felt possible not long ago. With Codex, you can just build things! https://t.co/lSOQIdTMD0

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ClawBench: Can AI Agents Complete Everyday Online Tasks? A real-world benchmark for AI agents: 153 everyday online tasks across live websites (shopping, booking, job apps). Even top models struggle—dropping from ~70% on sandbox benchmarks to as low as 6.5% here. https://t.co/ANUnjY8rlV

Squeeze Evolve: A Unified Framework for Verifier-Free Evolution Across AIME 2025, GPQA-Diamond, ARC-AGI-V2, MMMU-Pro, etc: - Up to ~3x API cost reduction - Up to ~10x increase in fixed-budget serving throughput https://t.co/MoTgGNAYns

proj: https://t.co/fCl3QBpnoE abs: https://t.co/i50YCzUKax repo: https://t.co/ml7dOTqYy1

This is a great discussion. We've spent 2 years building a solution that's working well for us -- co-writing software side by side the AI in an notebook-ish environment. We call it the "solveit method". (We've created a course and platform for it: https://t.co/W0DGKEmLo5 )

Nick Fuentes says women can only do three things “Women can be three things: they can be mothers, they can be prostitutes, or they can be nuns.” https://t.co/VURtsmZkLJ

@GaryMarcus @marshawhitee @ramez You may appreciate this blog I saw coming. Seems no gains, and even some setbacks, in biology https://t.co/05P55ztVsj

@GaryMarcus survey says.... https://t.co/pFkBk9WFhZ

I get some many personal thank you emails for something and it’s not even a feature. All we needed apparently was a new codex plan. Can we rest now? https://t.co/AMUezHSJc8

@GaryMarcus Should we be concerned or not? https://t.co/PL2gloFDSs

*BESSENT SUMMONED WALL STREET CEOS TO DISCUSS ANTHROPIC’S MYTHOS This is crazy. Claude Mythos is apparently so good that Bessent and J. Powell summoned the bulge bank CEOs in a meeting to make sure they’re aware of how good Claude Mythos really is. Execs summoned include include $C Jane Fraser, $MS Ted Pick, $BAC Brian Moynihan, $WFC Charlie Scharf, and $GS David Solomon. Jamie couldn’t make it More specifically, the meeting was about Mythos’s offensive and defensive cyber capabilities. The selloff in $IGV likely to continue tomorrow. I bet Sama’s jealous

to my wingman @interaction 🌴 https://t.co/wZ2mPBuaIH

WOW. 46% of Italians and 37% of French people see the U.S. as a threat https://t.co/udMajWQ2ow

WOW. 46% of Italians and 37% of French people see the U.S. as a threat https://t.co/udMajWQ2ow

(1/5) FP4 hardware is here, but 4-bit attention still kills model quality, blocking true end-to-end FP4 serving. To fix that, we propose Attn-QAT, the first systematic study of quantization-aware training for attention. The result: FP4 attention quality is comparable to BF16 attention with 1.1x–1.5x higher throughput than SageAttention3 on an RTX 5090 and 1.39x speedup over FlashAttention-4 on a B200. Blog: https://t.co/NxVSXKWEgI Code: https://t.co/6irFgQ7GeM Checkpoints: https://t.co/GsrzbJlRY8

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@emollick Humans are jagged too! We're just very used to their type of jaggedness. Here are 6 random people from a jagged-intelligence study I ran. https://t.co/ASUin06qq5

No wonder Trump loves Hungary's Viktor Orban. Trump wishes he had made as much progress as Orban in implementing the Autocrat's Playbook by suppressing the media and civil society. But Orban may soon be voted out of office. Republicans are likely next. https://t.co/VGIA0a8DwD

A Bloomberg Terminal costs $30,000/yr and still can't do a fraction of what Perplexity Computer just launched today 💻 It now connects directly to your bank accounts, credit cards, loans, and brokerage accounts through Plaid. Your full financial picture, from monthly spending to net worth to individual stock positions, sitting on top of 40+ live finance data sources including SEC filings, FactSet, S&P Global, and Coinbase. Every dollar you earn, spend, owe, and invest, cross-referenced against institutional-grade data in real time. You can walk up to this thing and say: → Run a risk analysis on my portfolio against the current tariff environment → Show me where my spending spiked last month and what's driving it → Build a net worth dashboard that tracks everything in one place → Flag any holdings that overlap with what insiders have been selling this quarter And it just does it. Pulls from your linked accounts, cross-references SEC filings, builds the output, and delivers a finished product. The system running underneath is Perplexity Computer. It orchestrates 19 models simultaneously, breaks any goal into subtasks, spins up specialized agents for each one, and keeps working after you walk away. One model handles the reasoning. Another does the research. Another writes the code. Another builds the visualization. All coordinated automatically. Last month they launched with brokerage data only and someone built a Bloomberg Terminal clone in a single afternoon. That post did 7.5 million views. Now they've expanded to your entire financial life: checking, savings, credit cards, loans, and investments all in one place. Wall Street pays $30K a year for a terminal with 30,000 function commands built over four decades. It won't replace Bloomberg for institutional traders executing billion-dollar orders. But for everyone else, the gap just got a lot smaller.

US fertility reached 1.57 last year, the lowest ever recorded, and the WSJ explanation is "uncertainty about finances, relationship stability, and the political climate" my great grandma had eleven children during the second world war, in a country being bombed, in a house with no running water, on rations. poor people have always had kids. the poorest people on earth right now still have kids and the financial excuse is a story we tell ourselves because it makes us feel good and the real one is unbearable the real mechanism is that we got rich enough to redefine children as an expense instead of the point. somewhere in the last fifty years the cultural goal inverted and a child stopped being what life is for and became a line item competing with the lifestyle. once you frame it that way the math never works, because the math isnt supposed to work. that's the point we are living in the richest moment in human history and we decided to use the surplus to buy ourselves out of the future. the most prosperous civilization that has ever existed is committing demographic suicide at the altar of personal optimization and comfort, and the official line is that we cant afford it the birthrate is a lagging indicator of a civilization that forgot why it was alive

WhatsApp’s “encryption” may be the biggest consumer fraud in history — deceiving billions of users. Despite its claims, it reads users’ messages and shares them with third parties. Telegram has never done this — and never will 🤝 https://t.co/2DYguybgoU

The Judges who released this animal 14 times should be found ‘incapable to proceed’ in their jobs. https://t.co/ali2Wfnlg3

INSPATIO-WORLD: Real-time 4D world simulator Turn any video into an explorable, interactive 4D world you can navigate in real-time using WASD controls. Built on spatiotemporal autoregressive modeling with state-anchored world states, running at 24 FPS on NVIDIA H-series GPUs and ranking #1 on WorldScore-Dynamic.

@Yuchenj_UW Perplexity Computer saved me $14k in tax. It found 2 double taxing errors and 2 form filling errors from my $2000-CPA's draft, which CPA fully agreed. In another thread, I let it compute tax from scratch. It's correct to the cents. https://t.co/zqXCxasdHG

Dialing in real time V2V in Sentinel. No Python or venvs, just an installer. Runs locally on any 16GB+ NVIDIA GPU. Sign up for early access: https://t.co/DHpxt0geoY https://t.co/xPAnVrzbHC

Ever visit a GitHub Issue and wonder when the fix shipped? Release info is now directly included in the issue sidebar alongside the linked PR. https://t.co/2xH37vME8N