Goddess Layla Feminization for sissy Training retweeted
Lock up that pathetic racist white clit in permanent chastity. Retrain that worthless thing to only get hard for superior BBC 🖤
BNWO is winning. Whiteboys belong locked, leaking, and destroyed in service to Black supremacy.
DM for keyholding.
5
37
301
Wanjie Codes retweeted
You are confusing training with searching.
ChatGPT does not wake up every second and retrain itself on everything people have posted today. It is pre-trained on large datasets, then updated periodically, while some tools can search live information when needed.
Grok tries to pull real-time signals from X, but even that is not the same as training a whole model every minute because training is extremely expensive, technically heavy and can also compromise accuracy if you keep feeding it raw, unverified noise.
That is why AI can sound very smart and still be outdated
12h
Intresting fact but chatgpt gets information from what people feed so how can it be outdated at the same time
12
8
47
5,878
55m
I just found a weather contract that a model says should be worth a dollar - it's sitting at 5 cents right now. 20x if it hits.
> New York today. Public forecast says 78°F. The model behind this says 81°F. The 81° bucket sits at 5 cents because nobody else sees it coming.
This isn't a guess. It's MinMax Pro - a hybrid ML system forecasting temperature at the 11 biggest US airports, 1 to 24 hours out. Not one model.
A stack: 3 blended forecasting models plus 24 specialist detectors per airport, each trained on one thing - fronts, cloud cover, fog, storm outflow.
>> It reads 30 data sources where most tools read 1 or 2. Radar every 2 minutes. Satellite cloud data.
146 neighbor stations in a 200km radius, so a cold front 200km out gets caught before it arrives.
60 million observations, 5 years of training data. Re-forecasts every 2 minutes. Full retrain every 24 hours.
The desks settling these markets have run real physics models for years. You've been running a weather app.
// Guardrail, no spin: edge is a probability advantage, not a guarantee. The 20x is illustrative - a sharper model wins more often, not every time.
Pro is normally $99 to $199/month. For 7 days, lock $99/month forever.
Try MinMax Pro today - minmax.one/pro?ref=ATENOV
Bookmark this before the window closes.
the house always priced weather off a real model.
you had a weather app.
that gap was the whole game. the desks settling temperature markets ran physics. you ran "feels like 78°." they were never guessing. you always were.
today that ends with minmax pro — and the edge is already live.
denver: a thunderstorm 200 km west. our outflow detector has flagged the cold pool — about −5°F landing in an hour. the crowd is still pricing yesterday's number. the model already moved.
new york, same day: public forecast says 78°. our model says 81°. the 81° bucket sits at 0.05 because nobody sees it coming. it settles 81°. 0.05 → 1.00 = 20×. illustrative — but the temperature matched our model, not the market.
on temperature markets the best forecast wins. sharper than the crowd = mispriced buckets you can take. that is the whole game.
here is what is reading the sky for you. say it plainly:
a hybrid ml system forecasting temperature at the 11 largest us airports — chicago, atlanta, miami, houston, denver, seattle, san francisco, los angeles, new york, dallas, austin — every horizon from 1 to 24 hours out.
not one model. a stack.
· base ensemble → 3 lightgbm models (synoptic · convective · base) blended with per-hour-per-horizon weights
· detector-boosters → 24 specialist experts per airport, each trained on one phenomenon — front (the sharp swing) · cloud (solar heating blocked) · fog (the morning stall) · outflow (a distant storm's cold pool crashing in)
· heuristic physical correctors on the short horizons h 1..h 6
24 detector-experts. per airport. one knows a front passing. one knows shadow cooling as cloud builds. one knows fog and the minute it burns off. one watches a storm 200 km west and knows its outflow lands in an hour and pulls the temp down ~5°F.
minmax
9
26
443
SNS needs to clean up their restaurants and staffing. The ones near us people review as filthy and poor food quality. Maybe retrain your locations and get rid of your franchises and go back to corporate locations before they close. Start with your district/reg mgrs, clean house.
1
9
My boi Red-Eyes has always been disrespected, even tho it can recover if Konami were to retrain all of the existing terrible cards that reside in the archetype over time.
1
9
@KarenBassLA reel in your poorly trained pack of goons AKA police force before they end up murdering more citizens and beloved pets. Start with the top brass who are more corrupt than anybody can even imagine. Arrest them for their crimes and properly retrain their replacements
1
637
Jon Bond could retrain as the new James Bond! Great pics Gary 👏🏻👏🏻
1
34
Hey beff, I've been working on the transformer-to-TSU translation problem and have something worth showing you. It's a no-retrain inference bridge for frozen LLaMA 3.2-3B that runs a THRML-faithful Boltzmann sampler through the attention layer. Do you or trevor want to talk?
16
Chatbots remove much of that tension. At first, that can feel merciful. But it can also retrain our expectations. When a bot adapts entirely around us, ordinary human limits start to look like failures. 4/
1
2
Fable 5 Sim one shot (ish) >
"Create a mujoco sim environment with an openarm 2.0 URL here> LINK. Place it behind a black table with a cube on the left and a box on the right infront of it, upscale the Quality and lighting. Place one camera on each wrist, within the camera slot on the wrist, and place a camera slightly above the main torso on a stick. make the cameras fisheye. Use Gemini api to be a multimodal critique on everything visually, camera setup, scene etc, loop it with both pro 3.1 and er 1.6, adjust setup, re critique, redo until its perfect, if you think you are done send result image for my eyeball. Do an RL policy with the following rewards: approaching the cube with the gripper, grasping the cube, lifting the cube above the hight of the box, releasing the cube in the box. Disable the arm on the side of the box. If you have any issues training this policy do a policy for each step assuming the success of the prior one and then chain them and hotstart and retrain the full loop. Once this has reached 90 % success, collect 100 successful episodes make it to a lerobot v3 dataset and train pi 0.5 for 5000 steps on it via your Qualia API skill, run inference for 100 episodes give it ample time to complete the task but set some limit your gemini critic might deem reasonable. Send results. If results are above 60%, add some other cube colors, and do the same RL policy for each individual cube and collect 100 episodes for each color and train pi again on those 500 episodes. Again remember your gemini critic. Run inference on the result for different language commands on the colors, collect episodes and give me the success rate."
Resulted in a 91% succesful VLA policy in sim in an afternoon. Silly task but insane that this is possible in basically a one shot.
100
A 90s-style video game helps stroke survivors retrain muscles, restore arm movement, and make rehab feel surprisingly engaging again news-medical.net/news/202606…
1
You guys need to go back to school to retrain or simply all of you need to find another profession -A DOODLE IS NOT A PUBLIC THREAT. You are disgraceful!
14
柴秋 retweeted
Lock up that pathetic racist white clit in permanent chastity. Retrain that worthless thing to only get hard for superior BBC 🖤
BNWO is winning. Whiteboys belong locked, leaking, and destroyed in service to Black supremacy.
DM for keyholding. 🔗t.me/Stacy_Locked
139
407
11,114
Anthropic just released its first official economic policy framework, and it's worth reading carefully.
The framework lays out three tiers of potential AI disruption to the labor market, each with its own policy response:
Tier 1 — Baseline disruption (roughly where we are now): Unemployment around 5%, headline numbers look normal but underlying skill demand is shifting. Policy proposals here include universal redistributive capital accounts, wage insurance for displaced workers, and tax incentives for firms that retrain rather than lay off.
Tier 2 — Recession-level disruption: Unemployment hits 10%, job searches extend from months to years. This triggers expanded unemployment insurance and sector-specific transition support for the most exposed workers.
Tier 3 — Transformative disruption: Unemployment exceeds historical levels and national income shifts from labor to capital. At this point the traditional tax base breaks down. Anthropic points to sovereign wealth funds and potentially UBI as policy responses, and acknowledges this is genuinely uncharted territory.
Three foundations underpin the whole framework: better real-time measurement of AI's labor impact, a dedicated government tracking unit, and modernizing delivery infrastructure like unemployment insurance before a shock hits.
The most important caveat, is whether laying out these scenarios makes mass displacement feel predetermined.
@AnthropicAI 's answer: the framework is explicitly about human and government agency over how AI gets deployed, not a deterministic forecast.
For more AI news and analysis, tune into PTB live this Wednesday June 17th at 11AM ET 👇
youtube.com/@SCSPAI
#AI #FutureOfWork #Anthropic #Economy #AIPolicy #SCSP
2
91